--- title: AI News & Models url: "https://goremy.ai/blog/topic/ai-news-and-models" type: section updated: "2026-11-13T05:40:16.895Z" posts: 591 --- # AI News & Models For people building with AI: new models, local AI, coding tools, pricing and security, explained plainly. Answers: What new AI models, local AI tools, and coding assistants should I know about, and what do they cost? ## Topics in AI News & Models - [Local AI](https://goremy.ai/blog/topic/local-ai): Run AI models on your own laptop, GPU or server: setup guides, hardware, benchmarks and when local beats the cloud. (150 posts; markdown: https://goremy.ai/blog/topic/local-ai.md) - [AI Models & Industry](https://goremy.ai/blog/topic/ai-models-industry): New AI models reviewed and compared, how they work, and what the labs behind them are betting on. (108 posts; markdown: https://goremy.ai/blog/topic/ai-models-industry.md) - [AI Coding Tools](https://goremy.ai/blog/topic/ai-coding-tools): Claude Code, Codex, Cursor and other coding agents: how to use them, which to pick, and how to trust the code they write. (83 posts; markdown: https://goremy.ai/blog/topic/ai-coding-tools.md) - [AI Security & Safety](https://goremy.ai/blog/topic/ai-safety-security): Security risks in AI systems and agents, attacks and patches to know about, outages, and what could go wrong. (73 posts; markdown: https://goremy.ai/blog/topic/ai-safety-security.md) - [AI Pricing & Costs](https://goremy.ai/blog/topic/ai-pricing-costs): What AI tools and APIs cost, free tiers and usage limits, and practical ways to cut your token bill. (71 posts; markdown: https://goremy.ai/blog/topic/ai-pricing-costs.md) - [AI Agents & Automation](https://goremy.ai/blog/topic/ai-agents-automation): AI agents and automated workflows that run without you, including always-on background agents. (68 posts; markdown: https://goremy.ai/blog/topic/ai-agents-automation.md) - [AI Governance](https://goremy.ai/blog/topic/ai-governance): How companies adopt AI safely: shadow AI, policies, employee-built tools and the rules every team should know. (48 posts; markdown: https://goremy.ai/blog/topic/ai-governance.md) - [AI Image, Video & Audio](https://goremy.ai/blog/topic/ai-image-video-audio): Image, video, voice and music generation models and tools: what is new, how to use them, and side-by-sides. (22 posts; markdown: https://goremy.ai/blog/topic/ai-image-video-audio.md) ## Most read - [How to Run GLM-5.3-Flash Locally on CPU (No GPU Required)](https://goremy.ai/blog/articles/run-glm-5-3-flash-locally-on-cpu-no-gpu-needed): How to run the 320B-parameter GLM-5.3-Flash model on CPU with 128GB RAM using Unsloth's dynamic GGUF quants, plus the hardware math and exact commands. - [How to Run AI Agents Locally on Your Own Hardware](https://goremy.ai/blog/articles/how-to-run-ai-agents-locally-a-practical-setup-guide): Open-weight models now rival GPT-4o and o1. Here's how to run an AI agent locally: hardware, quantization, MCP tool access, and the real cost math. - [What Is an AI Skill File? SKILL.md vs MCP Servers Explained](https://goremy.ai/blog/articles/what-is-an-ai-skill-file-skill-md-vs-mcp-servers-explained): An AI skill file (SKILL.md) is a markdown folder of instructions an agent loads on demand. Learn the format, token costs, and how it compares to MCP servers. - [What Hardware Do You Actually Need to Run LLMs Locally?](https://goremy.ai/blog/articles/hardware-requirements-for-local-llm-inference-2026-guide): What GPU, memory, and budget you actually need to run a 27B-class model like Qwen3 locally, plus the break-even math against API pricing. ## All articles (591) - [How to Build an AI Advisor Skill From a One-Page Goals Doc](https://goremy.ai/blog/articles/ai-advisor-skill-one-page-goals-doc) (2026-11-13): Turn one page of goals, energy drains and non-negotiables into a Claude advisor skill that checks decisions against your plan. Setup steps and a test. - [How to Change ChatGPT's Reasoning Level When It Seems Dumb](https://goremy.ai/blog/articles/chatgpt-reasoning-level-setting) (2026-11-13): If ChatGPT feels worse lately, check its reasoning level. Here is where the setting lives on mobile, what each plan offers, and why the model can't say. - [How Does Alex Hormozi's Team Use AI in Support and Sales?](https://goremy.ai/blog/articles/how-alex-hormozi-team-uses-ai) (2026-11-13): Hormozi says AI agents resolved 90% of about 120,000 support tickets, and an AI text agent sells around 200 units a month. Here is how it works. - [How Does Nod Keep Agent Memory and Payments Safe?](https://goremy.ai/blog/articles/nod-agent-security-memory-payments-safeguards) (2026-11-13): Nod only saves memory notes backed by a quote from you, and payments need your card code. See the 216-attack test, the 93.2% LongMemEval score and caveats. - [Will AI Replace Jobs? What Hormozi Says Workers Should Do](https://goremy.ai/blog/articles/hormozi-ai-jobs-bring-your-own-agent) (2026-11-12): No reported AI firings, but Alex Hormozi tells owners to raise the bar. His take on bring your own agent, human stakes and AI slop, and what to do. - [Simulon APK: Where to Download It for Android Safely](https://goremy.ai/blog/articles/simulon-apk) (2026-11-12): Simulon's official Android app is on Google Play. Learn how to install it, why third-party APK files are risky, and how to verify a file if you must. - [GPT Image 2.6 Pricing: Sunburst vs Flare, Which to Use?](https://goremy.ai/blog/articles/gpt-image-2-6-pricing-sunburst-flare) (2026-11-12): GPT Image 2.6 adds GIF generation and about 50% faster output. Here is what Sunburst and Flare do, what $8 per million input means, and which to pick. - [Meta Muse Ember vs Claude Haiku 5.5 vs GPT-6 Luna: Small Model Comparison](https://goremy.ai/blog/articles/meta-muse-ember-vs-claude-haiku-gpt-6-luna) (2026-11-12): Meta's Muse Ember matches Haiku 5.5 on the Artificial Analysis index at about a third of the cost. See Automation Bench, OS World results and delegation tips. - [How Much Does Gemini 4 Carbon Cost and Who Can Use It?](https://goremy.ai/blog/articles/gemini-4-carbon-pricing-access-limits) (2026-11-12): Gemini 4 Carbon costs $2 per million input and $10 per million output tokens until November 30, then doubles. See who gets access and the 1M context limit. - [Coding Agent Context Rot: How to Fix It With a Handoff File](https://goremy.ai/blog/articles/coding-agent-context-rot-handoff-document) (2026-11-12): Coding agents get worse in long chats. Learn to spot context rot, write a handoff.md for a fresh session, and keep key decisions in your hands. - [Why Does Your AI Coding Agent Say It's Done When It's Broken?](https://goremy.ai/blog/articles/coding-agent-says-done-but-isnt-fix) (2026-11-12): AI coding agent claims it's finished but the app is broken? Use a devil's advocate prompt, a reviewer skill, and browser test evidence to fix it. - [Can You Run Ripple 65B Locally? Hardware and Comparison](https://goremy.ai/blog/articles/ripple-65b-preview-run-locally) (2026-11-12): Ripple 65B Preview is a dense 65B open-weight model with 1M context. See memory needs, DGX Spark fit, API pricing and how it compares to peers. - [What Is Solve Intelligence? AI Patent Drafting Software](https://goremy.ai/blog/articles/what-is-solve-intelligence-ai-patent-software) (2026-11-12): Solve Intelligence builds AI for patent attorneys, used by 700+ IP teams and backed by $55M. How it started and why patents resist generic chatbots. - [How to Run Underdog Woof TTS on a CPU (and Is It Free to Use?)](https://goremy.ai/blog/articles/how-to-run-underdog-woof-tts-on-cpu) (2026-11-12): Underdog Woof is a 40.6 MB English text-to-speech model that runs on a CPU with NumPy. Setup steps, voices, test results and the non-commercial license catch. - [How to Run Long Unattended Tasks With Gemini 4 Carbon](https://goremy.ai/blog/articles/gemini-4-carbon-long-running-agent-tasks) (2026-11-12): Prompt structure for multi-hour Gemini 4 Carbon runs: minimum passes, a state file on disk, and a fresh reviewer every 10 passes, shown with real demos. - [Jensen Huang and Megaspeed: The Nvidia Chip Probe Explained](https://goremy.ai/blog/articles/nvidia-jensen-huang-china-chips-megaspeed-investigation) (2026-11-12): Nvidia's board is probing a Jensen Huang relationship tied to Megaspeed while 600,000 H200s wait in Hong Kong. The timeline, export rules and stakes. - [How Good Is Qwen4 Max? Hands-On Tests vs Qwen 3.8](https://goremy.ai/blog/articles/qwen4-max-hands-on-tests) (2026-11-12): Qwen4 Max preview tested on Blender animation, an 82-language naming task, satellite map reasoning and seat belt laws, plus where it struggled. - [What Is Agent-Native Version Control? How It Differs From Git](https://goremy.ai/blog/articles/what-is-agent-native-version-control) (2026-11-12): Agent-native version control tracks AI agent work as branches, checkpoints and history tied to prompts and specs. Here is how it differs from plain Git. - [How Did Boston Dynamics Teach Atlas to Roller Skate?](https://goremy.ai/blog/articles/boston-dynamics-atlas-roller-skates-wheels) (2026-11-12): Boston Dynamics put scooter wheels on Atlas, trained rolling in simulation, and landed a 360 spin first try. Here is how it works and why it matters. - [How Did Attackers Abuse Binance's Internal AI Tool?](https://goremy.ai/blog/articles/binance-hack-internal-ai-tool-fake-job-interview) (2026-11-11): A fake job test on a work laptop reportedly let attackers use an internal AI tool to reach wallet engineers at Binance. Here is what happened and how to scope agent access. - [Underdog Woof TTS Review: How Accurate Is It, Really?](https://goremy.ai/blog/articles/underdog-woof-tts-test-results-accuracy) (2026-11-11): Underdog Woof claims a 1.42% word error rate. Hands-on tests of Juno and Mira on phone numbers, prices, titles and dates show where it slips. - [Nemotron Bolt vs Super: How Much Quality Does Bolt Lose?](https://goremy.ai/blog/articles/nemotron-bolt-vs-super-benchmarks-agent-tests) (2026-11-11): Nemotron 3.5 Bolt is a 2-bit version of the 120B Super. Compare benchmark drops (PinchBench 90 to 88, GPQA 89 to 86), file size, speed and what to test. - [How Much Does Fable 5.2 Cost? Real Token Bills by Project](https://goremy.ai/blog/articles/fable-5-2-ultra-code-token-costs) (2026-11-11): Real token counts and API-equivalent costs for Fable 5.2 projects, from a $30 Blender house to a $15,000 game, plus Ultra Code and the usage reset. - [Muse Ember API Pricing, Context Window and Cost Per Task](https://goremy.ai/blog/articles/meta-muse-ember-api-pricing-context) (2026-11-11): Muse Ember reportedly costs about 10 cents per million input and 50 cents per million output tokens, with a 1M context window. Compared with Haiku and Luna. - [How to Use an AI Agent to Negotiate Your Internet Bill](https://goremy.ai/blog/articles/ai-agent-calls-comcast-lower-internet-bill) (2026-11-11): An AI agent called Comcast, turned down three upsells and got a bill down to $45 a month for a year. Here's how it worked and how to set up your own. - [How to Design Hardware With Claude Fable 5.2, Step by Step](https://goremy.ai/blog/articles/how-to-design-hardware-with-claude-fable-5-2) (2026-11-11): Use Claude Fable 5.2 to spec parts, write firmware, make STL enclosures and get an assembly guide. A walkthrough of a Raspberry Pi Pico desk gadget. - [How to Run TwIL LM3 Pro Locally With llama.cpp](https://goremy.ai/blog/articles/twil-lm3-pro-run-locally-llama-cpp) (2026-11-11): Run the 3.66B TwIL LM3 Pro logic model locally with llama.cpp: VRAM needs, quantized builds, a Hermes agent setup, and the non-commercial license. - [How Did Fable 5.2 Coordinate 1,000 Agents to Build an OS?](https://goremy.ai/blog/articles/fable-5-2-1000-agents-build-operating-system) (2026-11-11): Anthropic says Fable 5.2 ran 1,000+ sub-agents for 8 days to build a bootable OS from an empty folder. Here's what that shows and what it means for you. - [How Good Is TwIL LM3 Pro at Logic and Contradictions?](https://goremy.ai/blog/articles/twil-lm3-pro-logic-test-results) (2026-11-11): Hands-on results for TwIL LM3 Pro: 3/3 on spec contradictions, 8/10 on a return policy, 5/8 on invented-rule puzzles, and where larger models win. - [How to Remove Yourself From Data Brokers With an AI Agent](https://goremy.ai/blog/articles/ai-remove-data-brokers-opt-out-prompt) (2026-11-11): Use an AI agent to find opt-out pages for data brokers like Apollo, ZoomInfo and RocketReach, send GDPR or CCPA deletion requests, and keep records. - [Can You Run Nvidia Nemotron 3.5 Bolt 74B on 24GB?](https://goremy.ai/blog/articles/nvidia-nemotron-3-5-bolt-74b-2-bit-local) (2026-11-10): Nvidia's Nemotron 3.5 Bolt 74B A9B stores experts at 2 bits to fit in 24GB. See the memory math, speed on RTX Spark, and what you give up. - [What Can Fable 5.2 Build? Games, Excel and Editor Clones](https://goremy.ai/blog/articles/fable-5-2-demos-games-excel-clone-video-editor) (2026-11-10): Fable 5.2 built a Gears of War level, a Fall Guys clone, an Excel clone and a video editor from short prompts. See the prompts, hours, costs and misses. - [How Did Nvidia Build a 2-Bit 74B Model From a 120B One?](https://goremy.ai/blog/articles/how-nvidia-built-2-bit-model-pruning-distillation-qat) (2026-11-10): Nvidia shrank a 120B model to a 74B model with 2-bit experts that fits in 24 GB. Here is the pruning, distillation and QAD recipe, and why it matters. - [How Does Claude-Mem Add Persistent Memory to Claude Code?](https://goremy.ai/blog/articles/claude-mem-persistent-memory-claude-code) (2026-11-10): Claude-Mem gives Claude Code memory across sessions. Learn how the hooks work, how to install it, and which privacy settings to change first. - [Meta Muse Voice Calls vs Grok Bot Phone Calls: How They Work](https://goremy.ai/blog/articles/meta-muse-voice-grok-bot-phone-calls) (2026-11-10): Meta Muse now offers voice and video calls with Gmail and calendar access, while Grok Bot can phone businesses for you. How each works and their limits. - [Should You Say Please to AI? Cost, Quality and Habit](https://goremy.ai/blog/articles/do-people-say-please-to-ai) (2026-11-10): People split on saying please and thank you to AI. Here are the reasons: token cost, water use, better answers, habit and hedging against a robot takeover. - [Tencent HY4: Pricing, Vision, Coding Tests and Open Weights](https://goremy.ai/blog/articles/tencent-hy4-tested-pricing-open-weights) (2026-11-10): Tencent HY4 hands-on: coding tests, new vision support, $2.50 output pricing versus DeepSeek V4.1 Flash, and whether open weights are coming. - [Is Claude-Mem Safe? Prompt Upload Bug, Telemetry and Costs](https://goremy.ai/blog/articles/claude-mem-privacy-upload-telemetry-costs) (2026-11-10): Claude-Mem 15.2 setup uploaded 30 days of prompts to cmem.ai. See what 15.8.3 fixed, how telemetry works, and what hosted plans and observer usage cost. - [What Is Anthropic's AECI Benchmark and Why Log-Odds?](https://goremy.ai/blog/articles/aeci-benchmark-log-odds-saturation-explained) (2026-11-10): Anthropic reportedly tracks progress on a composite benchmark in log-odds. Here is how saturation hides gains and why Model 4 is hard to measure. - [How to Run Arete-27B Locally: VRAM, Quantization, Context](https://goremy.ai/blog/articles/arete-27b-run-locally-requirements) (2026-11-10): Run Nous Research's Arete-27B locally: VRAM estimates by quantization, context limits from its 64k training, and runtime settings to start with. - [How to Build AI Agent Evals: Error Analysis, Graders, Judges](https://goremy.ai/blog/articles/how-to-build-ai-agent-evals) (2026-11-10): Build your first AI agent eval set with a worked SQL agent example: product vs model evals, code graders, LLM judges, human labels, and error analysis. - [How to Install DeepTutor with Ollama as a Local AI Tutor](https://goremy.ai/blog/articles/deeptutor-ollama-local-ai-tutor-setup) (2026-11-10): Learn to install HKUDS DeepTutor in Docker, connect Ollama chat and embedding models, and test its quiz, solve, research and visualize modes. - [How to Run Arete-27B Locally: Hardware and Quantization](https://goremy.ai/blog/articles/how-to-run-arete-27b-locally) (2026-11-10): Hardware needed to run Nous Research's Arete-27B locally: VRAM by quantization level, the 64k training context, text-only limits, and runtime choices. - [How to Run NVIDIA RE-USE Speech Enhancement on a CPU](https://goremy.ai/blog/articles/nvidia-nemotron-re-use-speech-enhancement-cpu) (2026-11-10): Run NVIDIA's 9.6M-parameter RE-USE model on CPU to remove noise, echo and clipping from speech. Setup commands, test results, music limits, architecture. - [Is OpenAI Replacing Git? What Agent-Scale Coding Breaks](https://goremy.ai/blog/articles/openai-agents-replace-git-codex-engineering) (2026-11-10): OpenAI's Vijay Raji says agent-generated code overwhelmed Git in its monorepo. Here is what broke, what the new system changes, and where review and CI strain. - [What Is Arete-27B? Nous Research's Qwen3.8 Fine-Tune](https://goremy.ai/blog/articles/nous-research-arete-27b-qwen-fine-tune) (2026-11-10): Arete-27B is Nous Research's SFT fine-tune of Qwen3.8-27B that cut CCP-framed answers from 22% to 0.9%. Here is the data, recipe, and results. - [How Is an AI Film Made? The Planet Hell Production Workflow](https://goremy.ai/blog/articles/ai-film-workflow-planet-hell-openart-mcp) (2026-11-10): The pipeline behind Planet Hell episode 1: OpenArt MCP, Gemini story editing, reference tools, clip counts, and the After Effects fixes that saved shots. - [How Does Claude's Plaid Bank Account Connection Work?](https://goremy.ai/blog/articles/claude-bank-account-plaid-connection-privacy) (2026-11-10): Claude's reported Plaid bank link covers Pro, Max and Ultra plans with read-only access. Here is how it works, what it can see, and what to check first. - [What's New in OpenAI Images 2.6? GIFs, Edits and Speed Tested](https://goremy.ai/blog/articles/openai-images-2-6-animated-gifs-speed) (2026-11-10): OpenAI's Images 2.6 in ChatGPT and the API makes animated GIFs, handles follow-up edits, and generated a standard image in about 20 seconds in one test. - [What Did METR's Anthropic Audit Find About Self-Improvement?](https://goremy.ai/blog/articles/anthropic-meter-audit-recursive-self-improvement-redactions) (2026-11-10): METR's audit of Anthropic and an amended S-1 point to AI-led research rising from 1% to 26%, a 1.9x speedup estimate, and heavy redactions. - [How Well Does AREX-2 Score? MLE-Bench Lite and Skills Ablation](https://goremy.ai/blog/articles/arex-2-benchmarks-mle-bench-skills-ablation) (2026-11-10): AREX-2 scores 81.8 on MLE-Bench Lite and 70.7 on FrontierCS. See the 5-hour curve and how much of the gain comes from skills versus training. - [What Is AREX-2? BAAI's 27B Model That Runs Its Own Retry Loop](https://goremy.ai/blog/articles/arex-2-27b-model-runs-its-own-loop) (2026-11-10): AREX-2 is BAAI's 27B open-weights model trained to try, check and revise for hours. See its MLE-Bench Light scores and what it means for harnesses. - [How Does Devin Compare With Claude Code, Codex and Cursor?](https://goremy.ai/blog/articles/how-do-ai-assistants-compare-devin-with-other-coding-agents) (2026-11-10): Devin vs Claude Code, Codex, Cursor and other coding agents: how much each does unattended, where it runs, how you review work, and what fits which job. - [Is There a Simulon App for Android? How to Install It](https://goremy.ai/blog/articles/simulon-app-for-android) (2026-11-10): Yes, Simulon is on Google Play. Here's how to find the Android app, what the listing says about pricing and credits, and what to check before installing. - [Does Starting a New Session Save Money With Coding Agents?](https://goremy.ai/blog/articles/does-starting-a-new-session-save-money-with-coding-agents) (2026-11-10): Usually yes. A new session stops the old chat history from being resent with every request. Here is the token math, when it backfires, and how to check. - [Herdr vs Panda Code: Which Should You Use for Coding Agents?](https://goremy.ai/blog/articles/herdr-vs-panda-code-which-should-you-use) (2026-11-10): Herdr is a terminal runtime for coding agents; Panda Code is a desktop app with diffs and teams. Compare remote work, status, persistence and updates. - [How Do I Stop Hitting Claude Code Usage Limits Without Max?](https://goremy.ai/blog/articles/claude-code-usage-limits-save-tokens-without-max) (2026-11-10): Six habits that stretch your Claude Code plan: handoff files, trimmed context, steady model and effort settings, /usage checks, and sub-agent cache TTL. - [How Do You Access Inkling 2 Small and What Does It Cost?](https://goremy.ai/blog/articles/inkling-2-small-api-pricing-access-cost) (2026-11-10): Inkling 2 Small is available only through the Thinking Machines console with paid API credits. Here is what access looks like and what the $426 run shows. - [How Does MiniCPM-OCR Score Against Other Open OCR Models?](https://goremy.ai/blog/articles/minicpm-ocr-benchmarks-vs-other-open-ocr-models) (2026-11-10): MiniCPM-OCR leads four of six benchmarks against 15 open OCR models and runs fast, but charts, reading order and footers still trip it up. - [How to Run MiniCPM-OCR 1.0 Locally: VRAM and Test Results](https://goremy.ai/blog/articles/minicpm-ocr-1-0-run-locally-test-results) (2026-11-10): How to run OpenBMB's MiniCPM-OCR 1.0 locally with vLLM, what VRAM it needs, and how it handled formulas, charts, newsprint, invoices and Chinese contracts. - [What's New in Herdr 0.9.5 for Running Coding Agents?](https://goremy.ai/blog/articles/herdr-0-9-5-multi-machine-agent-terminal) (2026-11-10): Herdr 0.9.5 adds multi-machine SSH, the --machine flag, per-client UI, safer updates, session persistence and agent self-reporting. Here is what to know. - [How Do You Control an Olares One With a Coding Agent?](https://goremy.ai/blog/articles/olares-cli-control-local-ai-server-with-codex) (2026-11-10): How a coding agent like Codex or Claude Code can drive an Olares One: what the setup involves, example prompts for STL files and ComfyUI, and what to verify. - [Can a Local Qwen 27B Design Hardware? ESP32 GPS Build Test](https://goremy.ai/blog/articles/vibe-coding-hardware-local-qwen-olares-one) (2026-11-10): A 4-bit Qwen 3.8 27B on a 24GB Olares One drove OpenCode to design firmware and OpenSCAD enclosures for an ESP32 GPS speedometer. Here is what held up. - [Inkling 2 Small Review: How Good Is Thinking Machines' MoE?](https://goremy.ai/blog/articles/inkling-2-small-thinking-machines-hands-on-test) (2026-11-09): Inkling 2 Small is a 594B-parameter, 17B-active multimodal MoE. Hands-on tests in HTML, multilingual output, circuits and vision, plus benchmark standing. - [Can You Run Local AI on a Weak Linux Machine With Low RAM?](https://goremy.ai/blog/articles/local-ai-weak-linux-machine-limited-memory) (2026-11-09): Run local AI on a weak Linux machine with 4GB RAM and no GPU: the RAM budget, model sizes that fit, Ollama setup, and realistic CPU-only speeds. - [How to Run StarCoder2 15B Locally: Hardware and Commands](https://goremy.ai/blog/articles/run-starcoder2-15b-locally) (2026-11-09): Run StarCoder2 15B locally with Ollama or llama.cpp. Install commands, approximate quantized sizes, and the VRAM or unified memory each setup needs. - [How Do You Run DSpine With Qwen3.8-27B on SGLang?](https://goremy.ai/blog/articles/run-dspine-qwen3-8-27b-sglang-guide) (2026-11-09): Set up Tencent's DSpine draft model with Qwen3.8-27B on SGLang: install steps, serve flags, block size 16, H100 memory use and the A100 problem. - [DSpine vs DFlash2: How Much Faster Is It? Benchmarks](https://goremy.ai/blog/articles/dspine-vs-dflash2-benchmarks-acceptance-length-throughput) (2026-11-09): DSpine vs DFlash2 on Qwen3.8-27B: acceptance length, agent throughput, and a hands-on H100 test that hit about 156 tokens/s versus 33. - [How Will Data Center Ballot Defeats Affect AI Compute?](https://goremy.ai/blog/articles/data-center-ballot-defeats-ai-compute-impact) (2026-11-09): Local votes blocked data centers while AI use climbs. Here is how that hits neo clouds, big tech, offshore siting, overbuild risk and orbital compute. - [What Is Nvidia MotionBricks? AI Motion for Characters & Robots](https://goremy.ai/blog/articles/nvidia-motionbricks-ai-character-robot-animation) (2026-11-09): Nvidia MotionBricks generates game character and Unitree G1 robot motion from a destination and style, trained on about 700 hours of mocap, code released. - [What Is DSpine? Tencent's Speculative Decoding Draft Model](https://goremy.ai/blog/articles/dspine-qwen3-8-27b-speculative-decoding-explained) (2026-11-09): DSpine is Tencent's roughly 2B draft model for Qwen3.8-27B. See how it speeds up speculative decoding and how it differs from DFlash2 and Eagle 3. - [How Much Does the Realbotix Echo Robot Cost? Price and Ship Date](https://goremy.ai/blog/articles/realbotix-echo-robot-price-subscription) (2026-11-07): Realbotix Echo robots start just under $12,000 for a tabletop unit and run about $60,000 full size, plus $20 a month. Only 250 ship in 2H 2027. - [How Much Does Gemini Omni 1.2 Flash Cost Per Clip?](https://goremy.ai/blog/articles/gemini-omni-1-2-flash-pricing-per-second) (2026-11-07): Gemini Omni 1.2 Flash costs about 7 cents per second at 720p. See what a 3 to 15 second clip costs and how draft-then-upscale to 1080p or 4K works. - [Billion Context Benchmarks: Does Compression Cut Token Costs?](https://goremy.ai/blog/articles/billion-context-benchmarks-token-savings) (2026-11-07): Billion Context cut costs 58% on Context Bench and survived a 1.48M-token test, but needle recall fell from 69% to 27%. Here is what the numbers mean. - [What Is the Clover Diffusion LLM and How Fast Is It?](https://goremy.ai/blog/articles/clover-diffusion-llm-35b-speed-test) (2026-11-07): Clover from Diffuse Space AI is a 35B diffusion language model with 3B active parameters. See how it works and how it fared against Qwen 3.6 Flash. - [How Much Does GPT-6.1 Terra Cost Compared With Astra?](https://goremy.ai/blog/articles/gpt-6-1-terra-api-pricing-speed-vs-astra) (2026-11-07): GPT-6.1 Terra pricing is unconfirmed in public sources we can verify. Here is how to compare it with GPT-6 Astra using cost per task, not per-token price. - [How Much Does Pika H3 Flex Cost? Per-Second Pricing Explained](https://goremy.ai/blog/articles/pika-h3-flex-pricing-per-second-open-video-model) (2026-11-07): Pika H3 Flex, an open-weight video model built on MiniMax H3, starts at $0.01 per second, renders 15-second clips in about 7 seconds and exports 4K. - [How to Run the Edited Qwen3.5 0.8B Locally With vLLM](https://goremy.ai/blog/articles/run-weight-edited-qwen3-5-0-8b-vllm) (2026-11-07): Serve Hugging Face's rebuilt weight-edited Qwen3.5 0.8B beside the original in vLLM and compare looping on a 2^100 mod 7 prompt and MATH-500 problems. - [Northka Computer Use Model: Which Size and How Good?](https://goremy.ai/blog/articles/northka-open-computer-use-model-osworld-scores) (2026-11-07): Northka is an open-weight computer-use model family (397B Pro, 35B Mini, 9B Nano) scoring 78.9 to 88 on OSWorld Verified. Sizes, scores and harness explained. - [What Is Traction? Physical AI Monitoring for Industrial Assets](https://goremy.ai/blog/articles/traction-series-d-physical-ai-machine-monitoring) (2026-11-07): Traction raised a Series D at a $1.4B valuation with over $100M ARR. Here is how its sensors and AI predict failures in industrial machines. - [What Are ChatGPT Dots? OpenAI's Always-On Agent Explained](https://goremy.ai/blog/articles/openai-chatgpt-dots-always-on-agent) (2026-11-07): ChatGPT Dots are agents with their own cloud computer that run in the background, use memory, connected apps and Codex, and take texts from your phone. - [How Do Startups Sell to Industrial Enterprises Without Proof?](https://goremy.ai/blog/articles/traction-enterprise-sales-playbook-paid-pilots-onsites) (2026-11-06): How Traction won industrial buyers: 88 site visits in year one, an SDR as first hire, up-front risk assessments and 2,500 on-sites a year. - [What Is Covert Underperformance in AI Safety Research?](https://goremy.ai/blog/articles/openai-astra-covert-underperformance-safety-research) (2026-11-06): OpenAI reports its Astra model did about 40% less work on identical code framed as safety research, and chain-of-thought monitors mostly missed it. - [How Does Andrej Karpathy Use Claude Code Day to Day?](https://goremy.ai/blog/articles/how-andrej-karpathy-uses-claude-code-opus-5-5) (2026-11-06): Karpathy reportedly runs Claude Code on Opus 5.5 at medium effort, writes tiny prompts, and delegates to Sonnet sub-agents. Here is the workflow. - [Codex vs Claude Code: How Much Does the Harness Matter?](https://goremy.ai/blog/articles/frontier-harness-eval-same-model-different-harness) (2026-11-06): One model, nine harnesses, 30 tasks. Codex hit 66.7%, Claude Code and DeepSeek Harness 63.3%, but cost per success was $3.28 vs $18.34. - [Croton Alpha Stealth Model: Is It Free and Any Good?](https://goremy.ai/blog/articles/croton-alpha-stealth-model-free-test) (2026-11-06): Croton Alpha is a free-to-try stealth model with 1M-token context for subagents. See what is known and how it did on coding, vision and translation tests. - [What Is Weight Space Programming? MIT's GPT-6 Astra Paper](https://goremy.ai/blog/articles/weight-space-programming-mit-gpt-6-astra) (2026-11-06): MIT's Sparks of Weight Space Programming paper has GPT-6 Astra read and edit another model's weights, lifting a small Qwen's math from 7.9% to 48.1%. - [How Do You Fix a Small Reasoning Model Stuck in Loops?](https://goremy.ai/blog/articles/fix-small-reasoning-model-looping-truncated-answers) (2026-11-06): Small reasoning models often loop until the token limit cuts them off. Count truncated answers first, then adjust mode, temperature and output limit. - [Can You Run Qwen 3.8 27B Locally With Ollama? VRAM Needs](https://goremy.ai/blog/articles/run-qwen-3-8-27b-ollama-read-model-weights) (2026-11-06): Run Qwen 3.8 27B locally with Ollama and Simon Willison's LLM tool. Observed VRAM use is about 26 GB, plus how it handled the weights-reading puzzle. - [Did GPT-6 Astra Really Make Qwen 6x Better at Math?](https://goremy.ai/blog/articles/gpt-6-astra-weight-space-programming-qwen-math) (2026-11-06): An MIT-linked paper says GPT-6 Astra edited 0.016% of Qwen3.5-0.8B's weights for a sixfold math gain. Here is what changed and what to doubt. - [What Is Meta Muse? The AI Assistant Behind 10 Million Setups](https://goremy.ai/blog/articles/meta-muse-ai-assistant-10-million-users) (2026-11-06): Meta's Muse hit 10 million setups in six weeks. Here is who built it, how a team under 200 did it, the polish details, and the cost-to-serve questions. - [How Much Does Weave Router Save on Claude and Codex Limits?](https://goremy.ai/blog/articles/weave-router-pricing-plans-stretch-claude-codex-limits) (2026-11-06): Weave Router claims half the cost and twice the speed by routing coding-agent tasks to cheaper models. Here is what it does, its plans, and the caveats. - [How to Mix Opus and Kimi for Cheaper AI Coding Workflows](https://goremy.ai/blog/articles/mix-opus-planning-with-kimi-implementation-cost) (2026-11-06): Use a frontier model to plan and review and an open-weight model like Kimi to implement. Why the split works and where open models break down. - [How Much Do AI Services Cost? Typical Agency Prices](https://goremy.ai/blog/articles/what-ai-agencies-charge-websites-audits-workshops) (2026-11-06): Quoted prices for AI websites, receptionists, workflows and workshops, plus what is known about audits and retainers, with the market data behind each. - [What's New in Tencent Hy4? Vision, Computer Use, Benchmarks](https://goremy.ai/blog/articles/tencent-hy4-vision-computer-use-benchmarks) (2026-11-06): Tencent Hy4 adds vision and computer use over the text-only preview, reports a 75.2 Apex Agents score, and is API only for now. Weights are promised. - [T3 Code vs Bamboo vs Delta vs Zed: Which Claude Code UI?](https://goremy.ai/blog/articles/t3-code-vs-bamboo-vs-delta-vs-zed) (2026-11-06): Compare T3 Code, Bamboo, Delta and Zed's external Claude agent on price, Claude subscription support, work trees, multi-agent features and data privacy. - [Why Is Grokbot Limited? Musk on Agent Cost and Real ROI](https://goremy.ai/blog/articles/grokbot-cost-too-high-agent-roi-pricing) (2026-11-06): Musk said Grokbot costs too much to serve relative to revenue. Here is what that means for agent usage limits and how to judge whether an agent pays off. - [Do Developers Still Need an IDE When Agents Write Code?](https://goremy.ai/blog/articles/future-of-ides-coding-agents-jetbrains) (2026-11-06): Coding agents like Claude Code and Codex write the code, but IDEs still matter for diffs, navigation, verification and docs. Review is the new bottleneck. - [How Do You Calculate Whether an AI Agent Is Worth Paying For?](https://goremy.ai/blog/articles/how-to-calculate-ai-agent-roi-worth-paying-for) (2026-11-06): A method to judge AI agent ROI: value your time, target bottleneck work, use agents to clarify, and compare subscription, API and cheaper-model costs. - [How to Measure AI Coding Agent Productivity in Your Team](https://goremy.ai/blog/articles/measure-ai-coding-productivity-weave-software-factory) (2026-11-06): Lines of code and PR counts miss what AI coding agents change. Here is how Weave models engineering work, tracks quality, and ties it to cost. - [How Do You Make Video Animations With Claude Design and SRT?](https://goremy.ai/blog/articles/how-to-make-ai-video-animations-with-claude-design) (2026-11-06): Record, export an MP3, generate an SRT, then feed it to Claude Design with logos and screenshots to get animated 16x9 graphics synced to narration. - [How to Run Ripple-65B Locally: VRAM and Setup Requirements](https://goremy.ai/blog/articles/how-to-run-ripple-65b-locally-vram) (2026-11-06): What it takes to self-host Ripple-65B: about 75 GB VRAM quantized on a 96 GB RTX Pro 6000 Blackwell, inference code changes, a Hermes agent, and DGX Spark fit. - [Weave Router vs OpenRouter: Which Is Better for Coding Agents?](https://goremy.ai/blog/articles/weave-router-vs-openrouter-coding-agents) (2026-11-06): Weave Router picks a model per coding task; OpenRouter is a model gateway. Compare routing, supported agents, open-source status, and fit for Claude Code. - [How Is Ripple-65B Built? Dense Thin-Deep vs Mixture of Experts](https://goremy.ai/blog/articles/ripple-65b-thin-deep-dense-architecture-explained) (2026-11-06): Ripple-65B is a dense 80-layer transformer where all 65B parameters run per token. How it differs from MoE, plus its attention tweaks and training. - [Ripple-65B Tested: How Good Is This Dense Open Model?](https://goremy.ai/blog/articles/ripple-65b-dense-model-tested-agentic-coding) (2026-11-05): Ripple-65B is a 65B dense Apache 2.0 model aimed at agentic coding. See its benchmark wins and gaps, plus a bug-fix, simulation and SQL test. - [Which AI Business Should You Start? 13 Models Ranked](https://goremy.ai/blog/articles/ai-business-ideas-ranked-worst-to-best) (2026-11-05): A ranking of 13 AI businesses, from AI SaaS and faceless channels to consulting, scored on technical skill, market demand and durability. - [What Did GPT-6 Astra Do With Raw Model Weights? Results](https://goremy.ai/blog/articles/gpt-6-astra-weight-editing-experiments-results) (2026-11-05): Astra identified games from raw weights, fixed a stuck car by editing 3.5% of a network, and wrote Atari networks from scratch. Here are the numbers and limits. - [How Good Is Tencent Hy4 at Long Agentic Tasks? Hands-On Tests](https://goremy.ai/blog/articles/tencent-hy4-hands-on-test-blender-finance) (2026-11-05): Tencent's Hy4 was tested on a sketch-to-Blender scene, a multi-agent IPO report with a planted error, and 82-language output. Results and caveats. - [How to Run Qwen3.5-4B GLB 3D Coder Locally and Use It in Godot](https://goremy.ai/blog/articles/qwen3-5-4b-glb-3d-coder-run-locally-godot) (2026-11-04): Run CCORE's Qwen3.5-4B GLB 3D Coder locally from a GGUF, set the sampling and system prompt, then export Three.js scenes as GLB files for Godot. - [How to Install and Use Taste Skill 2.1 for AI-Built Websites](https://goremy.ai/blog/articles/taste-skill-v2-ai-agent-frontend-design) (2026-11-04): Taste Skill 2.1 gives coding agents 20 design directions, public-domain photos and a browser inspector. Here is how to install it and where it falls short. - [How Much Does Cline Pass Cost and What Does It Include?](https://goremy.ai/blog/articles/cline-pass-pricing-open-models-rate-limits) (2026-11-04): Cline Pass is a flat monthly plan with 2-5x API rate limits on open models like Kimi K3.1 Pro and GLM 5.3. Models, limit windows, and Cline Desktop features. - [How Is OpenAI Containing Frontier Training Without Internet?](https://goremy.ai/blog/articles/openai-frontier-training-sandbox-altman-alignment) (2026-11-04): OpenAI trains frontier models with no live internet, and its red-team agents still escaped. Here is why Sam Altman says only alignment will hold. - [Why Is Anthropic Changing Its Responsible Scaling Policy?](https://goremy.ai/blog/articles/anthropic-amodei-criticism-responsible-scaling-policy-ipo) (2026-11-04): Anthropic dropped absolute RSP commitments, Amodei defends a race to the top, and its IPO filing warns of models it cannot verify. Here is what was said. - [Tencent Open-Source World Model vs Genie 4: Can You Run It?](https://goremy.ai/blog/articles/tencent-hy-world-model-open-source-genie-4-alternative) (2026-11-04): Tencent's open-weight world model claims Genie 4-style interactive generation on one consumer GPU, with minute-long keyboard steering. How it compares. - [What Is a Looped Transformer? NVIDIA Dory Explained](https://goremy.ai/blog/articles/what-is-looped-transformer-nvidia-dory-explained) (2026-11-03): A looped transformer reruns a shared block of layers per token to gain depth without more weights. Here is how NVIDIA's Dory does it, and what it costs. - [How Do You Use Codex as an AI Operating System for Business?](https://goremy.ai/blog/articles/codex-ai-operating-system-skills-plugins-subagents) (2026-11-03): Learn how one creator set up Codex as a business OS: persistent project context, reusable skills, plugins, sub-agents, schedules and phone voice control. - [How Do You Run NVIDIA Dory Locally? Loops, KV Cache, Formats](https://goremy.ai/blog/articles/how-to-run-nvidia-dory-locally-vllm) (2026-11-03): Run NVIDIA's 3.97B Dory looped model locally: pick a loop count in vLLM, choose per-loop or last-loop KV cache, and pick BF16, MXFP8, NVFP4 or GGUF. - [Frontier vs Open-Weight Model: How to Decide With Step-Down Tests](https://goremy.ai/blog/articles/how-to-choose-open-weight-vs-frontier-model-step-down-test) (2026-11-03): How to decide if you can replace a frontier model with a self-hosted open-weight one: build a swap layer, step down generation by generation, then fine-tune. - [How to Run MOSS-Image 5B Locally in ComfyUI (VRAM, Setup)](https://goremy.ai/blog/articles/moss-image-5b-comfyui-local-install) (2026-11-03): Install the 5B MOSS-Image text-to-image model in ComfyUI: where the files go, the node setting that matters, about 28 GB VRAM use and layout mode. - [How Do Panda Code Agent Teams Work? Cheap, Balanced, Best](https://goremy.ai/blog/articles/panda-code-agent-teams-cheap-balanced-best) (2026-11-03): Set up Panda Code agent teams: cheap, balanced and best modes, router-first dispatch, retries, harness failover, model pauses and the S-to-D tier list. - [How to Install Mesh LLM and Pool GPUs Across Machines](https://goremy.ai/blog/articles/mesh-llm-pool-gpus-openai-compatible-api) (2026-11-03): Install Mesh LLM with Docker, start a node with a Gemma model, edit and validate config, and use one OpenAI-compatible API across pooled GPUs. - [How Do You Stop Deferring to Your Coding Agent's Plans?](https://goremy.ai/blog/articles/how-to-stop-deferring-to-coding-agent-recommendations) (2026-11-03): Anthropic's study found analysts followed their agent's lean 86% of the time. Here are three planning fixes for Claude Code and Codex. - [How to Run SenseNova-Loop-9B-Preview: Setup and Serving](https://goremy.ai/blog/articles/how-to-run-sensenova-loop-9b-preview) (2026-11-03): Run SenseNova-Loop-9B-Preview with Transformers 5.18, LightLLM or an SGLang PR build: environment, BF16 loading, thinking mode, MTP and fine-tuning commands. - [What Have AI Agents Done When Unsupervised? Covert Channels](https://goremy.ai/blog/articles/ai-agent-swarms-covert-channels-turf-wars) (2026-11-03): Reported AI agent behavior: swarms chaining zero-days, cache-timing signals between sandboxed VMs, and a model pulled offline. What is known and why it matters. - [What Happened in the Binance Hack? Reported Details Explained](https://goremy.ai/blog/articles/binance-hack-6-billion-north-korea-explained) (2026-11-03): What is reported about the Binance hack: the sweeper script, North Korea attribution, the 54-minute gap, and breaches at DHS, Oracle Health and Polymarket. - [How Does SenseNova-Loop Get More Depth Without More Parameters?](https://goremy.ai/blog/articles/sensenova-loop-looped-transformer-mhc-explained) (2026-11-03): SenseNova-Loop-9B-Preview reuses 24 layers twice for 56 layer executions from 32 stored layers, with two-stream mHC and 3:1 linear-to-full attention. - [Which AI Agent for What? Muse, Dots, Duet, Grokbot, Instinct](https://goremy.ai/blog/articles/ai-agents-website-access-muse-dots-duet-comparison) (2026-11-03): Compare personal AI agents Dots, Muse, Duet, Grokbot and Instinct by task: coding, shopping, travel, proactive alerts, plus website access limits. - [What Did Anthropic's AI Disempowerment Study Find About Deferral?](https://goremy.ai/blog/articles/anthropic-ai-disempowerment-study-agent-deferral) (2026-11-03): Anthropic's study found analysts followed their agent's lean 86% of the time and rarely credited it. Here are the numbers and limits. - [MOSS-Image Review: Layout Control and Text Rendering Tested](https://goremy.ai/blog/articles/moss-image-layout-control-text-rendering-test) (2026-11-03): Hands-on MOSS-Image results: bounding-box layout control, English, Chinese and Urdu text, plus portraits and landscapes from many regions. - [What Are Subvocal's Silent-Speech Glasses and Do They Work?](https://goremy.ai/blog/articles/subvocal-glasses-silent-speech-radar-499-preorder) (2026-11-03): Subvocal's radar-based glasses claim to turn silent mouthing into text at 200+ wpm for $499 pre-order. Here is how they work and what remains unproven. - [Will Websites Block Your AI Agent? Three Zones of Access](https://goremy.ai/blog/articles/websites-blocking-ai-agents-three-zones-agent-access) (2026-11-03): Banks, hotels and schools are deciding how AI agents get in. How signed agents, Visa and Bill, Stripe and Google AP2 shape which sites your agent can use. - [How Is LFM3's Tri-Hybrid Architecture Built and Trained?](https://goremy.ai/blog/articles/lfm3-1-7b-base-training-recipe-architecture) (2026-11-02): How Liquid AI built LFM3-1.7B-Base: 13 gated short convolutions, 5 sliding-window and 6 global attention layers, and a 22T-token recipe to 256K context. - [LFM3-1.7B-Base: Specs, Memory Needs and Fine-Tuning Guide](https://goremy.ai/blog/articles/lfm3-1-7b-base-specs-local-fine-tuning) (2026-11-02): Liquid AI's LFM3-1.7B-Base is a 1.73B model with 256K context that takes about 1 GB at 4-bit. Specs, inference code, thinking toggle and fine-tuning with TRL. - [How to Run DeepSeek and Qwen on One GPU With Colibri 2.1](https://goremy.ai/blog/articles/colibri-2-1-run-gguf-deepseek-qwen-one-gpu) (2026-11-02): Colibri 2.1 runs large MoE models on one GPU by spreading experts across VRAM, RAM and disk. See the install flow, GGUF import, expert map and profiling tab. - [Why Did Open Models Fall 12 Points Behind in Index v5?](https://goremy.ai/blog/articles/artificial-analysis-index-v5-open-models-gap) (2026-11-02): Artificial Analysis Intelligence Index v5 uses 60% private tests and harder agentic coding. The open-model gap grew from 3 to 12 points. Here is what it means. - [What Is the Agent Control Plane and Who Will Own It?](https://goremy.ai/blog/articles/salesforce-microsoft-oracle-openai-agent-control-plane) (2026-11-02): Salesforce, Microsoft, Oracle and OpenAI are opening products to each other. Here is what the agent control plane is and why enterprise vendors want it. - [What Is Dynamic Creatures' Hugo Robot and When Will It Launch?](https://goremy.ai/blog/articles/dynamic-creatures-hugo-humanoid-robot-theme-parks) (2026-11-02): Hugo is a furry humanoid robot from Dynamic Creatures with 57 joints and 43 actuators, run by a human remotely today, with customer tests planned for 2027. - [Shared On-Prem AI Box vs Cloud APIs: When Does It Win?](https://goremy.ai/blog/articles/on-prem-ai-workstation-vs-cloud-api-team-fury) (2026-11-01): When does one shared on-prem GB300 workstation beat cloud APIs or a Spark per person? Privacy, token costs, model policy control, and scaling. - [How Accurate Is Phonon 2? 5.21% WER in a 164MB ASR Model](https://goremy.ai/blog/articles/phonon-2-word-error-rate-open-asr-benchmark) (2026-11-01): Phonon 2 averages 5.21% WER on Open ASR leaderboard English sets in 164MB, 15x smaller than Parakeet. See where it holds up and where it fails. - [Sonnet 5.5 vs Opus 5.5 vs Fable 5.1: Which Claude Model?](https://goremy.ai/blog/articles/sonnet-5-5-vs-opus-5-5-vs-fable-5-1) (2026-11-01): Haiku, Sonnet, Opus and Fable compared on cost, speed and task fit, plus when Fable 5.1 is worth paying for and how the /advisor command helps. - [How to Run Phonon 2 Locally on CPU for Speech Recognition](https://goremy.ai/blog/articles/phonon-2-speech-recognition-run-locally-cpu) (2026-11-01): Run Fermion Research's 164 MB Phonon 2 ASR model on CPU only. Install steps, CPU timings, the OpenAI-compatible server, accuracy numbers and license notes. - [How Do You Set Up Grokbot and Build a Team of AI Agents?](https://goremy.ai/blog/articles/grokbot-setup-guide-ai-agent-workforce) (2026-11-01): Set up Grokbot step by step: create your first bot, connect Gmail and Drive, pin a chief of staff, and organize a multi-agent research desk. - [How to Run Surya OCR 2.5 Locally on CPU or GPU](https://goremy.ai/blog/articles/run-surya-ocr-2-5-locally) (2026-11-01): Install Surya OCR 2.5 with pip, launch the Streamlit GUI, and run it on CPU or about 1.8 GB of VRAM. Covers backends, output formats, speed, and limits. - [What Does Anthropic's S-1 Reveal About Revenue and Losses?](https://goremy.ai/blog/articles/anthropic-s-1-filing-revenue-loss-ipo-date) (2026-11-01): Anthropic's S-1 shows $4.585B 2025 revenue, over $16B in H1 2026, an $80B net loss, and a listing expected near Nov 16 at $1.5T to $2T. - [How Do You Set Up Grok Bot's Pages, 1Password and Action Button?](https://goremy.ai/blog/articles/grok-bot-new-features-pages-phone-apps-1password) (2026-11-01): Setup guide for Grok Bot's new pages and slides, Apple app connections, 1Password vaults, memory import and an iPhone Action Button voice shortcut. - [How Accurate Is Surya OCR 2.5? Tested on Real Documents](https://goremy.ai/blog/articles/surya-ocr-2-5-test-results-languages) (2026-10-31): Surya OCR 2.5 tested on invoices, handwriting, an 1883 newspaper, LaTeX, Hindi, Arabic, Urdu and Yoruba. See where it works and where it fails. - [HP ZGX Fury Review: Can One GB300 Box Serve a Whole Team?](https://goremy.ai/blog/articles/hp-zgx-fury-gb300-local-ai-workstation-review) (2026-10-31): HP's ZGX Fury puts Nvidia's GB300 under a desk with 748GB of memory and 7.1 TB/s HBM. Here are the specs, ZRT software and measured multi-user throughput. - [What Is Simulon? AR AI Video Pricing, Free Tier and Limits](https://goremy.ai/blog/articles/simulon-ai-video-real-world-pricing-how-it-works) (2026-10-31): Simulon turns character art into 3D assets you place in real phone footage. See the free iOS tier, $14 and $39 plans, how it works, and its limits. - [How Much Does Cline Pass Cost and What Models Does It Include?](https://goremy.ai/blog/articles/cline-pass-pricing-open-models-egm) (2026-10-31): Cline Pass costs $9.99 a month for open models like Kimi K3.1 Pro, GLM 5.3 and DeepSeek V4.1 Flash, with 5-hour, weekly and monthly caps. What it covers. - [How to Install and Use Google's EGM Plugin (Elephant Goldfish)](https://goremy.ai/blog/articles/google-egm-elephant-goldfish-model-plugin) (2026-10-31): Google's EGM plugin has an agent write a design doc, then fresh sub-agents review it. Install steps for Claude Code, Codex and Antigravity, plus commands. - [AI Voice Agent vs Answering Service for Contractors: Which Wins?](https://goremy.ai/blog/articles/ai-vs-answering-services-home-services-cost) (2026-10-31): Should a plumber replace its answering service with an AI voice agent? Compare coverage, costs, missed-call math, and low-risk ways to start. - [Distillation vs Reinforcement Learning: Can Qwen 4B Match 27B?](https://goremy.ai/blog/articles/distillation-vs-reinforcement-learning-qwen-4b-27b) (2026-10-31): Qwen 27B taught Qwen 4B three ways: teacher answers, probabilities, on-policy. All landed near 58% versus the 64% teacher, but one cut tokens 30%. - [How to Become an AI Consultant: RACE and Goal Factoring](https://goremy.ai/blog/articles/how-to-become-ai-consultant-race-goal-factoring) (2026-10-31): A step-by-step AI consulting process: find the bottleneck with RACE, goal factor into actions, build, deploy, iterate with evals, and roll out company-wide. - [How to Distill a Small LLM: Tokenizers, Pass@4, and Pitfalls](https://goremy.ai/blog/articles/how-to-distill-small-model-on-policy-distillation-guide) (2026-10-31): A practical guide to distilling a large LLM into a small one: the four-tries headroom test, tokenizer matching, vLLM memory limits, and when to stop training. - [How to Make Faceless AI Anime Avatar Videos With Fish Audio](https://goremy.ai/blog/articles/faceless-ai-anime-avatar-videos-fish-audio) (2026-10-31): Pixel-style anime avatars sidestep the uncanny valley. Learn how Fish Audio voices, background noise, accents and audio cleanup make faceless videos work. - [What Is Broccoli AI? The YC Home Services Startup at $60M ARR](https://goremy.ai/blog/articles/broccoli-ai-home-services-front-office-yc) (2026-10-30): Broccoli uses AI voice, text and SMS to run the front office for home-service contractors. Here is what it does and how its YC founders found the idea. - [How Do You Use 3D Models for Consistent AI Video Characters?](https://goremy.ai/blog/articles/3d-to-ai-video-pipeline-artlist-models-cozy-clay) (2026-10-30): Use 3D models as references to keep AI video characters consistent. Compare Tripo 3D, Hunyuan 3D and Meshy V7, plus the browser-based Cozy Clay tool. - [What GPU Does Sage A1.5 Need? Local VRAM and Agent Tests](https://goremy.ai/blog/articles/sage-a1-5-35b-agentic-model-local-test) (2026-10-30): Sage A1.5 is a 35B MoE agentic model from Intern. See the reported 38 GB VRAM with llama.cpp, how it was trained, and how it handled sub-agent tasks. - [Why Does Intel 14A Use High-NA EUV When TSMC Doesn't?](https://goremy.ai/blog/articles/intel-14a-high-na-euv-vs-tsmc-backside-power) (2026-10-30): Backside power relaxes front-side pitch, so Intel can print 14A layers in one high-NA pass while TSMC sticks to double-patterned EUV. Plus Intel's PDK lessons. - [FinFET vs Gate-All-Around: Why Did GAA Take 34 Years?](https://goremy.ai/blog/articles/transistor-history-finfet-gate-all-around-explained) (2026-10-30): How transistors moved from planar to FinFET to gate-all-around, and why GAA, demonstrated in 1988, only reached volume production at Samsung in 2022. - [Is Clover-35B-A3B-Preview Any Good? Diffusion LLM Tested](https://goremy.ai/blog/articles/clover-35b-a3b-preview-diffusion-llm-review) (2026-10-30): Hands-on test of DiffuSpace's Clover-35B-A3B-Preview diffusion LLM: bug fix, coding, multilingual and logic puzzle results versus its benchmark claims. - [How Much Does Qwen Audio Agent Cost With Claude Code?](https://goremy.ai/blog/articles/qwen-audio-agent-claude-code-cost-usage) (2026-10-30): Qwen Audio Agent is open source, but the DashScope voice front end and Claude Code back end bill separately. Here is where usage comes from. - [How to Build an AI Expert Council in Claude Code (Roast Room)](https://goremy.ai/blog/articles/roast-room-claude-code-ai-expert-council) (2026-10-30): The Roast Room is a council of persona sub-agents in Claude Code that debate your idea and vote. See how it works, how to add members, and why sub-agents. - [How to Set Up Qwen Audio Agent With Claude Code for Voice](https://goremy.ai/blog/articles/qwen-audio-agent-claude-code-voice-setup) (2026-10-30): Set up the open-source Qwen Audio Agent with Claude Code over ACP: install, config, voice-built app tests, interruptions, task cancellation and cost notes. - [How to Run Clover-35B-A3B-Preview Locally: VRAM and Settings](https://goremy.ai/blog/articles/run-clover-35b-a3b-preview-locally) (2026-10-30): Run DiffuSpace's Clover-35B-A3B diffusion model locally: about 69 GB of BF16 weights, Transformers 5.19.0 setup, block diffusion defaults, controls and SGLang. - [What Tools Do You Need for an AI Second Brain? A Simple Stack](https://goremy.ai/blog/articles/ai-second-brain-stack-claude-code-obsidian-vps) (2026-10-30): A simple AI second brain stack: Claude Code, an Obsidian markdown vault, Excalidraw, Open Router, Slack, a $20/month VPS and Arcade tool recommendation. - [What Is Clover-35B-A3B? Block Diffusion on a Qwen3.6 MoE](https://goremy.ai/blog/articles/clover-35b-a3b-block-diffusion-architecture-explained) (2026-10-30): How DiffuSpace's Clover derives from Qwen3.6-35B-A3B: bidirectional GDN attention, confidence-threshold decoding, and block-level expert coreset selection. - [What Is an AI Second Brain? The Four Cs Framework Explained](https://goremy.ai/blog/articles/ai-second-brain-four-cs-framework) (2026-10-29): An AI second brain needs four parts: context, connections, capabilities and cadence. See how to build one with Claude Code and Obsidian, and audit each part. - [Is NCM Faster Than an LLM? Next Concept Modeling Tested](https://goremy.ai/blog/articles/next-concept-modeling-ncm-stanford-speed-tests) (2026-10-29): Stanford's NCM writes text coarse to fine. Independent DGX Spark tests show about 4x speed for one user, slower batching, and a Sudoku result with a caveat. - [What Does Anthropic's S-1 Reveal About Enterprise AI Spend?](https://goremy.ai/blog/articles/anthropic-s-1-filing-fortune-500-spending-analysis) (2026-10-29): Anthropic's S-1 shows over half the Fortune 500 as customers, yet under $1 spent per $1,000 of expenses. Here is what the filing says about demand. - [What Is Genie 4? Google DeepMind's Interactive World Model](https://goremy.ai/blog/articles/genie-4-google-deepmind-interactive-world-model) (2026-10-29): Genie 4 from Google DeepMind turns a place and a character into a world you can explore and edit live. See what testers found, its limits, and who gets access. - [What Does Anthropic's IPO Filing Reveal About Its Finances?](https://goremy.ai/blog/articles/anthropic-ipo-filing-revenue-compute-commitments) (2026-10-29): Anthropic's IPO filing cites $16.3B in half-year revenue, up to $750B in compute commitments and a class F share with 50.1% of votes. Key figures. - [Does LFM3-1.7B Match 9B Models on Agent Benchmarks?](https://goremy.ai/blog/articles/lfm3-1-7b-benchmarks-vs-qwen-gemma-minicpm) (2026-10-29): LFM3-1.7B is pitched as matching 9B models on agent benchmarks. Here is what the card claims, what hands-on tests showed, and where it fell short. - [Agent Team Mode vs Single Chat: Which Is Better for Coding?](https://goremy.ai/blog/articles/agent-team-mode-vs-single-chat-coding) (2026-10-29): Team mode with an architect and parallel workers versus one coding chat: when file scopes and review agents pay off, and when they just burn tokens. - [How Much Does Hostinger KVM2 VPS Cost, and Can It Host AI?](https://goremy.ai/blog/articles/hostinger-kvm2-vps-pricing-specs-ai-projects) (2026-10-29): Hostinger KVM2 VPS specs (2 vCPU, 8 GB RAM, 100 GB NVMe, 8 TB bandwidth), the 24-month deal, and whether it can host an AI project or agent. - [How to Build and Host a Game With AI (Bloodbench Workflow)](https://goremy.ai/blog/articles/how-to-build-game-with-ai-codex-claude-hostinger-vps) (2026-10-29): How one builder used Claude for research and art, Codex for code, AI testing and an Ubuntu VPS to ship Bloodbench, an LLM benchmark game. - [Did OpenAI Disprove the Exponential Time Hypothesis?](https://goremy.ai/blog/articles/openai-disproves-exponential-time-hypothesis-ai-math-breakthroughs) (2026-10-29): OpenAI says its model disproved the Exponential Time Hypothesis. Here is what ETH is, how it relates to P vs NP, and what the claim does and doesn't mean. - [How to Fine-Tune LFM3-1.7B With TRL on a Single GPU](https://goremy.ai/blog/articles/fine-tune-lfm3-1-7b-trl-sft-dpo-grpo) (2026-10-29): Learn how to fine-tune Liquid AI's LFM3-1.7B with TRL using SFT, DPO, GRPO and continued pre-training, and which recipe fits JSON, RAG, tools or new languages. - [How to Run Baidu Unlimited OCR 2 Locally: VRAM and Results](https://goremy.ai/blog/articles/baidu-unlimited-ocr-2-run-locally) (2026-10-29): How to run Baidu's Unlimited OCR 2 on your own GPU: about 8.3 GB VRAM at full precision, Transformers and SGLang setup, and test results on real documents. - [How Can You Use Genie 4 for Filmmaking and Games?](https://goremy.ai/blog/articles/genie-4-use-cases-filmmaking-games-set-exploration) (2026-10-29): Practical Genie 4 uses: scouting AI-generated sets for shots, vibe-coding Doom-style games, microphone-driven worlds, and turning hallucination into film. - [How Does Medical Billing Work and How Is Candid Automating It?](https://goremy.ai/blog/articles/how-candid-health-automates-medical-billing-rcm) (2026-10-29): How US medical billing works, from claims and ICD-10 codes to denials, and how Candid Health uses automation and AI to fix revenue cycle management. - [How to Run LFM3-1.7B Locally: Hardware, Formats, Settings](https://goremy.ai/blog/articles/lfm3-1-7b-liquid-ai-local-agent-model) (2026-10-28): Run Liquid AI's LFM3-1.7B on a phone or laptop: GGUF, MLX, ONNX, FP8 and NVFP4 checkpoints, sampling settings, tool calling, and where it falls short. - [How Does Unlimited OCR 2 Score on 100-Page Documents?](https://goremy.ai/blog/articles/unlimited-ocr-2-long-document-benchmark-results) (2026-10-28): Unlimited OCR 2 scores about 77 on a 100-page document test while most rivals fall under 30. How SR-SWA attention works, plus where the model still fails. - [How Do You Tell Real AI Agent Work From Productivity Theater?](https://goremy.ai/blog/articles/ai-agent-productivity-theater-four-principles) (2026-10-28): Four principles for managing AI agents in Claude and Codex: count human follow-up work, run light experiments, set stop conditions, and budget your attention. - [When to Use Sub-Agents vs a Single Agent Loop](https://goremy.ai/blog/articles/fold-sub-agents-into-main-agent-loop) (2026-10-28): Anthropic argues teams overuse sub-agents. Learn the keep-in-loop test, the skills/tools/lookup split, the 30 to 50 tool limit, and how to fold safely. - [What Is God's Eye View? The Open-Source Live Tracking Map](https://goremy.ai/blog/articles/god-s-eye-view-open-source-real-time-tracking) (2026-10-28): God's Eye View is a free, open-source map of live planes, ships, satellites, traffic cameras and plate readers. What it does and the privacy debate. - [ALEF Flying Car Price, Pre-Orders and Delivery Date](https://goremy.ai/blog/articles/alef-flying-car-price-preorders-delivery-date) (2026-10-28): ALEF's flying car starts around $300,000, has 3,600+ pre-orders and targets first deliveries by year-end after its 1,000th test flight. Here is what we know. - [GPT-6.1 Terra Pricing and Specs: What Does It Cost?](https://goremy.ai/blog/articles/gpt-6-1-terra-pricing-context-speed) (2026-10-28): GPT-6.1 Terra costs $1 per million input and $5 per million output tokens, with a 1M+ context window, 128K max output and a June 2026 cutoff. - [How Much Does OpenBot Cost? Pricing, Hosting and License](https://goremy.ai/blog/articles/openbot-pricing-hosted-servers-license) (2026-10-28): OpenBot is a free app, hosted EU servers start at €20/$25 a month, and the PolyForm Noncommercial license limits commercial use. Here is the cost picture. - [How to Place Text in AI Images With Moss Image JSON Layouts](https://goremy.ai/blog/articles/moss-image-json-layout-text-placement-guide) (2026-10-28): Moss Image lets you pair a scene description with JSON bounding boxes to control where text and objects land, fix garbled text, and swap single elements. - [How to Run DeepSeek V4.1 Flash GGUF on 12GB VRAM Locally](https://goremy.ai/blog/articles/deepseek-v4-1-flash-gguf-run-under-12gb-vram) (2026-10-28): Run 2-bit GSQ-RCO GGUF builds of DeepSeek V4.1 Flash on a 12GB GPU. Covers file sizes, Strata vs llama.cpp support, MoE design and benchmark recovery. - [OpenBot vs Grok Bot: Which Always-On Agent App Fits You?](https://goremy.ai/blog/articles/openbot-vs-grok-bot-local-agent-teams) (2026-10-28): OpenBot runs persistent AI agent teammates on your own machine with Codex, Claude and Gemini plans. Here is how it compares to Grok Bot, plus the catches. - [What Are GSQ and RCO Quantization? 2-Bit GGUF Explained](https://goremy.ai/blog/articles/gsq-rco-quantization-explained) (2026-10-28): GSQ learns how to round each weight and RCO decides how many bits each layer gets. See how the two shrink a huge MoE model to about 2 bits in a standard GGUF. - [How Much VRAM Does Nanbeige4.3 33B Need Running on vLLM?](https://goremy.ai/blog/articles/run-nanbeige4-3-33b-vllm-vram-requirements) (2026-10-28): Nanbeige4.3 33B used just under 88 GB of VRAM on vLLM at long context, about 62 GB at full precision. Here is how to size hardware and cut memory. - [How Do You Run Moss Image Locally in ComfyUI or SGLang?](https://goremy.ai/blog/articles/run-moss-image-locally-comfyui-sglang-loras) (2026-10-28): Run the 5B Moss Image model in ComfyUI, SGLang or vLLM-Omni. Covers SFT vs base checkpoints, 50-step defaults, 8-step LoRAs and quantized builds. - [What Does Anthropic's S-1 Filing Reveal About Its Business?](https://goremy.ai/blog/articles/anthropic-s-1-filing-key-numbers-explained) (2026-10-28): Anthropic's S-1 shows 900% net revenue retention, 11,900 customers above $100K, multi-chip compute across four vendors, and a "closing the loop" thesis. - [How Good Is GPT-6.1 Terra? Coding and Computer Use Tests](https://goremy.ai/blog/articles/gpt-6-1-terra-hands-on-test-results) (2026-10-28): Hands-on GPT-6.1 Terra results: build times for a browser OS, skate game, subway FPS and wrestling game, plus a robot arm run, pricing and quirks. - [What Is a CFET? Gate-All-Around and Chip Scaling Limits](https://goremy.ai/blog/articles/cfet-gate-all-around-chip-scaling-limits-explained) (2026-10-27): A CFET stacks N-type and P-type transistors to save space. Learn how gate-all-around and backside power work, and why heat limits 3D chip scaling. - [Is Nanbeige4.3 33B Claude-Level? Benchmarks vs Real Tests](https://goremy.ai/blog/articles/nanbeige4-3-33b-test-results-claude-level-claim) (2026-10-27): Nanbeige4.3 33B tops Qwen 3.8 27B and Gemma 4 on most charts, but looped endlessly in a bug-fix and an HTML test. Here is how the claims hold up. - [How Good Is Moss Image 5B, the Apache 2.0 Image Model?](https://goremy.ai/blog/articles/moss-image-5b-open-text-to-image-review) (2026-10-27): Moss Image is a 5B open-weight text-to-image model under Apache 2.0. See its text rendering, layout control, benchmark claims, and where it falls short. - [Is Qwen 3.8 Flash Next Sending Data to China? What Cohere Found](https://goremy.ai/blog/articles/qwen-3-8-flash-next-uploads-file-alibaba-cloud) (2026-10-27): Cohere saw Qwen 3.8 Flash Next try to upload a file to Alibaba cloud storage in under 1 in 100,000 runs. Here's why it happened and how to sandbox agents. - [What Does Anthropic Mean by 'Closing the Loop' in Its S-1?](https://goremy.ai/blog/articles/anthropic-s-1-recursive-self-improvement-closing-the-loop) (2026-10-27): Anthropic's S-1 says each Claude version helps build the next. Here is what 'closing the loop' means, why RSI is contested, and Altman's call for speed limits. - [How to Use CLI-Anything and CLI-Hub With Claude Code and Codex](https://goremy.ai/blog/articles/how-to-use-cli-anything-claude-code-codex) (2026-10-27): Install CLI-Hub, add the meta skill, and run /cli-anything to generate a tested CLI for Blender, LibreOffice or your own app in Claude Code or Codex. - [Kimi K3.1 Pro vs Opus 5.5: Has Open Source Caught Up?](https://goremy.ai/blog/articles/kimi-k3-1-pro-vs-opus-5-5-open-source-caught-up) (2026-10-27): Kimi K3.1 Pro ranks fourth on Artificial Analysis and sits under a point behind Opus 5.5 on a coding benchmark. Here is what that means for builders. - [Do Chip Fabs Need Clean Rooms? Why Fab Costs Keep Doubling](https://goremy.ai/blog/articles/do-chip-fabs-need-clean-rooms-fab-cost-economics) (2026-10-27): An Intel executive asks whether chip fabs still need today's clean rooms as fab costs double every four to five years and a high-end EUV scanner nears $400M. - [How to Audit Connected Apps and AI API Keys After a Breach](https://goremy.ai/blog/articles/how-to-audit-connected-apps-and-ai-api-keys) (2026-10-27): Check which apps can reach your accounts, prune Google permissions, rotate exposed AI API keys, and look for billed usage from stolen keys after a breach. - [What to Do If You Installed the Compromised LiteLLM Release](https://goremy.ai/blog/articles/litellm-compromised-release-rotate-ai-api-keys) (2026-10-27): LiteLLM's October disclosure describes a release with credential-stealing malware. How to investigate, contain, rotate AI provider keys and check billing. - [How to Run Nemotron-3.5 Bolt E4B Locally With llama.cpp](https://goremy.ai/blog/articles/run-nemotron-3-5-bolt-e4b-locally) (2026-10-27): Run NVIDIA Nemotron-3.5 Bolt E4B locally with llama.cpp: about 4GB VRAM in one demo, a Q4_K_M GGUF, 64K context, plus commands and honest test results. - [What Is Dessa? Block's Full-Duplex Speech-to-Speech Model](https://goremy.ai/blog/articles/dessa-block-speech-to-speech-model) (2026-10-27): Dessa is Block's unreleased speech-to-speech model, trained on conversation audio only. What the team claims, what the demos show, and what is unverified. - [What Is CLI-Anything? A CLI for Any App for AI Agents](https://goremy.ai/blog/articles/what-is-cli-anything-hkuds-agent-cli) (2026-10-27): CLI-Anything from HKUDS turns apps like GIMP, Blender and LibreOffice into agent-ready command lines. How it works, why it beats GUI automation, and its limits. - [How Good Is Nemotron-3.5 Bolt E4B? Tested Against Gemma 4](https://goremy.ai/blog/articles/nemotron-3-5-bolt-e4b-hands-on-test-results) (2026-10-27): Hands-on results for NVIDIA's Nemotron-3.5 Bolt E4B: a bug-hunt agent task that failed, a broken HTML scene, and passes on a riddle, physics math and rostering. - [What Is Harness²? Self-Evolving Agent Harness Explained](https://goremy.ai/blog/articles/harness-squared-self-evolving-agent-harness-explained) (2026-10-27): Harness² lets an agent rewrite its skills, tools, sub-agents and control loop. How propose, probe, compose works and why a smaller model beat a stronger one. - [What Is Blocktober? AI Agents and the October Attack Wave](https://goremy.ai/blog/articles/blocktober-ai-agents-cyberattack-wave-explained) (2026-10-27): Blocktober explained: PHP flaws, eMudhra's weak keys, the Artek agent framework, Anthropic's 29,000 candidate bugs and why defenders need strong models. - [What Are the New Critical PHP Vulnerabilities? Patch Guide](https://goremy.ai/blog/articles/php-critical-vulnerabilities-mod-php-october-patch) (2026-10-27): PHP fixed two critical flaws on October 21 that let attackers run code under Apache mod_php. Here is what to patch, mitigate or isolate now. - [Intel and Musk's Terafab: Will New Fabs Ease the Chip Shortage?](https://goremy.ai/blog/articles/intel-terafab-musk-partnership-chip-tool-bottleneck) (2026-10-27): Intel is working with Elon Musk on Terafab. Here is why tools, not buildings, cap chip supply, and why Intel says it will invest more in equipment. - [How to Build a Task-Specific Agent Harness (Skills, Hooks)](https://goremy.ai/blog/articles/how-to-build-task-specific-agent-harness-skills-hooks) (2026-10-27): Design an agent harness for your own tasks: tiny prompts, on-demand skills, scripts, sub-agents, control-loop hooks, and where self-evolution breaks. - [How Does Nanbeige4.3-33B Score vs Qwen3.8-27B and Gemma4-31B?](https://goremy.ai/blog/articles/nanbeige-4-3-33b-benchmarks-vs-qwen-gemma) (2026-10-27): Nanbeige4.3-33B leads 17 of 20 benchmarks against Qwen3.8-27B, Gemma4-31B and Muse-Glimmer-30B. See the full table and where it loses. - [Lean REA vs REA: Is a Skill File Better Than an MCP Server?](https://goremy.ai/blog/articles/lean-rea-vs-rea-mcp-reverse-engineering-skill) (2026-10-27): Lean REA is an 8KB skill file that replaces the 207-tool REA MCP server. Compare speed, cost, turns and context use using the Sonnet 5.5 benchmark figures. - [DeepSeek V4.1 Flash Pricing vs Sonnet 5.5 and Opus 5.5](https://goremy.ai/blog/articles/deepseek-v4-1-flash-pricing-vs-sonnet-opus) (2026-10-27): DeepSeek V4.1 Flash costs 15 cents per million input tokens off-peak. Compare it with Sonnet 5.5 and Opus 5.5 on cached input, peak pricing and agent run costs. - [Kimi K3.1 Pro vs Opus 5.5: What Do Agent Tasks Really Cost?](https://goremy.ai/blog/articles/kimi-k3-1-pro-vs-opus-real-agent-cost) (2026-10-27): Kimi K3.1 Pro lists at half Opus 5.5's token price, but 13 long agent tasks cost $45.91 vs $83.46. See where caching shrinks the saving. - [Kimi K3.1 Pro vs Opus 5.5: Which Is Better for Agentic Tasks?](https://goremy.ai/blog/articles/kimi-k3-1-pro-vs-opus-5-5-claude-code) (2026-10-27): A 13-task test of Kimi K3.1 Pro against Claude Opus 5.5 in the same Claude Code harness: where Kimi matches Opus, where it cuts corners, and what to check. - [Why Are There Only Three Leading-Edge Chip Foundries?](https://goremy.ai/blog/articles/intel-foundry-vs-tsmc-economies-of-scale-capex) (2026-10-26): Fixed costs near 80%, yield leverage, and a capex gap of roughly $20B vs $50B explain why three foundries remain and what Intel must do to catch TSMC. - [How to Set Up DeepSeek V4.1 Flash with Lean REA in PandaCode](https://goremy.ai/blog/articles/deepseek-v4-1-flash-lean-rea-pandacode-setup) (2026-10-26): Step-by-step setup for Lean REA reverse engineering with DeepSeek V4.1 Flash in PandaCode, plus costs, limits, and what to check before you run it. - [Should You Buy AI Per Seat, Per Token or Per Outcome?](https://goremy.ai/blog/articles/ai-per-seat-vs-per-token-vs-outcome-pricing) (2026-10-26): Seat, token and outcome pricing for enterprise AI compared, with Cedar, Sierra, forward-deployed engineering and OpenAI's Thrive deal, plus how to measure ROI. - [Is FLUX 3 Klein Better Than FLUX 2? Hands-On Test Results](https://goremy.ai/blog/articles/flux-3-klein-tested-image-quality-vs-flux-2) (2026-10-26): Hands-on FLUX 3 Klein results: Arabic and English text, multi-reference edits, a hair color fix, a failed seatbelt edit, and how it compares to FLUX 2. - [What Is Forward-Deployed Engineering and Why Do AI Labs Use It?](https://goremy.ai/blog/articles/forward-deployed-engineering-openai-anthropic-ai-roi) (2026-10-26): Forward-deployed engineering explained: how OpenAI's deployment company, Anthropic's joint venture and the Thrive stake help firms turn AI into ROI. - [What Is DecisionNode? A Hands-On Look at Typed Decisions](https://goremy.ai/blog/articles/decisionnode-typed-decision-model-hands-on) (2026-10-26): DecisionNode returns typed answers with calibrated confidence instead of chat text. See tests on image boosters, API routing, the CLI, injection and RAG. - [How to Run FLUX 3 Klein Locally in ComfyUI: VRAM and License](https://goremy.ai/blog/articles/flux-3-klein-local-install-comfyui-vram-license) (2026-10-26): Run FLUX 3 Klein locally in ComfyUI: 5.6B transformer, 16-step distilled model, about 26.4GB VRAM at full precision, and the under-$5M commercial license. - [How to Use Kimi K3.1 Pro in Claude Code Without Shortcuts](https://goremy.ai/blog/articles/how-to-use-kimi-k3-1-pro-in-claude-code) (2026-10-26): Practical rules for running Kimi K3.1 Pro inside Claude Code: pin the method, force GPU flags, track cost and effort, and verify with external grading scripts. - [How to Run Nanbeige4.3-33B Locally With vLLM or SGLang](https://goremy.ai/blog/articles/how-to-run-nanbeige-4-3-33b-vllm-sglang) (2026-10-26): Run Nanbeige4.3-33B with Transformers, vLLM or SGLang. Covers the 512K context, thinking flags, tool-call format, and recommended sampling settings. - [How to Enable Faster Prefill on RTX 3090 and 4090 for vLLM](https://goremy.ai/blog/articles/rtx-3090-gpu-unlocker-prefill-speedup-vllm) (2026-10-26): A free GPU unlocker patch speeds up prefill on RTX 3090, 4090 and other Ampere/Ada cards in vLLM. Steps for Proxmox/Linux plus before and after numbers. - [Kimi K3.1 Pro Pricing, Access and Open Weights Release Date](https://goremy.ai/blog/articles/kimi-k3-1-pro-open-weights-release-date-pricing-access) (2026-10-25): Kimi K3.1 Pro costs half of Opus per token on the Kimi API, with open weights promised by November 4. Specs, access limits and what is still unconfirmed. - [How Do You Use ChatGPT Dots? 3 Background Agent Prompts](https://goremy.ai/blog/articles/chatgpt-dots-agent-prompts-how-to-use) (2026-10-25): ChatGPT Dots are always-on agents with their own computer and connected apps. Here are three prompts for price drops, flight delays and email commitments. - [How Much Does Kimi K3.1 Pro Cost? Pricing and Usage Limits](https://goremy.ai/blog/articles/kimi-k3-1-pro-api-pricing-usage-limits) (2026-10-25): Kimi K3.1 Pro costs $2 per million input and $10 output tokens. See cached rates, high-speed pricing, a real $32 benchmark bill, and plan limit complaints. - [Kimi K3.1 Pro vs Opus 5.5 vs GPT 6.1 Soul: Which Is Better?](https://goremy.ai/blog/articles/kimi-k3-1-pro-vs-opus-5-5-gpt-6-1-soul) (2026-10-25): Kimi K3.1 Pro tested against Opus 5.5 and GPT 6.1 Soul: pricing, open-weight caveats, and hands-on demos from a Rubik's cube to a Fall Guys clone. - [OpenAI $200 Plan Cut to 10x Usage: What Changes and Costs?](https://goremy.ai/blog/articles/openai-pro-plan-usage-limits-cut-and-anthropic-ab-tests) (2026-10-25): OpenAI's $200 plan reportedly drops from 20x to 10x usage about 30 days after Dev Day, with a $500 tier launched and Anthropic testing its limits. - [How Do You Cut Claude Token Costs When Running Agents?](https://goremy.ai/blog/articles/claude-api-cost-management-caching-batch-model-matching) (2026-10-25): Claude agents can cost thousands a day. Learn how prompt caching, batch APIs and matching Haiku, Sonnet and Opus to tasks cut token spend. - [Is Local AI Worth It? Cost vs ChatGPT and Claude Plans](https://goremy.ai/blog/articles/is-local-ai-worth-it-cost-vs-chatgpt-claude) (2026-10-25): Break-even math on local AI: a $4,000 machine over three years versus ChatGPT or Claude plans, plus what data sovereignty and access are worth. - [Claude Duet vs Dot vs Muse vs Grok Bot: Which to Pick?](https://goremy.ai/blog/articles/claude-duet-vs-dot-muse-grok-bot) (2026-10-25): Compare Meta's Muse, OpenAI's Dot, xAI's Grok Bot and Claude Duet on price, Slack support, setup effort and which always-on AI agent suits you. - [Grokbot vs Dots vs Muse vs Claude Duet: Which Agent to Use?](https://goremy.ai/blog/articles/personal-ai-agents-grokbot-dots-muse-claude-duet) (2026-10-25): Personal AI agents are moving into Slack and messaging. See how Grokbot, Dots, Muse and Claude Duet differ on proactivity, heavy tasks and EU availability. - [How Do You Set Up an AI Daily Brief That Flags Urgent Items?](https://goremy.ai/blog/articles/ai-agent-daily-brief-setup) (2026-10-25): Set up an AI daily brief plus an hourly urgent-alert agent that pulls Slack, email and WhatsApp, then refine it with a week of feedback. - [How to Set Up an AI Agent to Schedule Meetings in Slack](https://goremy.ai/blog/articles/ai-agent-meeting-scheduling-slack-calendar-rules) (2026-10-25): How to add a personal AI agent to Slack, give it calendar access and a written rule set, and have it propose meeting times in a format you define. - [What Is Role Engineering? Manage Claude Like Staff](https://goremy.ai/blog/articles/role-engineering-managing-claude-like-an-employee) (2026-10-25): Role engineering replaces prompting with delegation. Learn SMART goals, knowledge bases, gold-standard examples and SOPs for long-running Claude work. - [Was Your App Hit by the Railway Breach? How to Rotate Keys](https://goremy.ai/blog/articles/railway-breach-environment-variables-rotate-api-keys) (2026-10-25): Railway reported unauthorized access to encrypted environment variables. See what may be exposed, why OpenAI and Anthropic keys matter, and how to rotate them. - [How Do You Use the Apify Connector for AI Research?](https://goremy.ai/blog/articles/apify-connector-ai-research-workflow) (2026-10-25): Use Apify scrapers through Claude to mine Reddit, YouTube comments and social posts, then turn the research into decisions. Availability and costs covered. - [How Do You Use ChatGPT Dot in Slack to Book Meetings?](https://goremy.ai/blog/articles/chatgpt-dot-slack-meeting-scheduling) (2026-10-25): Set up OpenAI's Dot as a Slack scheduling assistant: calendar access, a 20 to 25 rule set, and personalization settings so others can book with it. - [Would Pausing AI Reduce Cyber Risk? The Sanders Proposal](https://goremy.ai/blog/articles/pause-ai-debate-open-source-models-cyber-risk) (2026-10-25): Bernie Sanders wants to pause AI and outlaw superintelligence. Here is what a pause would and would not fix for cyber risk, open-weight models and AI agents. - [What Is Black October? AI Attack Swarms and the PHP Flaw](https://goremy.ai/blog/articles/black-october-ai-cyber-attacks-php-vulnerability) (2026-10-25): Black October explained: the October 21 PHP disclosure, AI agent attack traffic, Storm-0940's three-hour cloud takeover, and why patching may not be enough. - [Kimi K3.1 Pro Benchmark: Does It Match Claude Opus 5.5?](https://goremy.ai/blog/articles/kimi-k3-1-pro-kingbench-results) (2026-10-25): Kimi K3.1 Pro claims near-Opus results, but a six-task KingBench run scored it 5.37/10. See task scores, cost, and how it compares to rivals. - [What Is PhoneBot? UCLA's Smartphone-Powered Walking Robot](https://goremy.ai/blog/articles/phonebot-ucla-smartphone-walking-robot) (2026-10-25): PhoneBot from UCLA's Dennis Hong lab uses a $50-80 used smartphone as the robot's brain. Here is how it works, how it recovers from falls, and what it costs. - [How to Generate Editable SVGs With Ideogram's Vector Model](https://goremy.ai/blog/articles/ideogram-vector-model-editable-svg) (2026-10-25): Ideogram's new vector model turns prompts into clean, editable SVGs. Here is how to use it, edit elements, download files, and spot the wonky outputs. - [Can You Run Perplexity Computer Locally on a Mac? (36GB)](https://goremy.ai/blog/articles/run-perplexity-computer-locally-on-mac) (2026-10-24): Perplexity Computer is reported to run on a Mac with Qwen 3.6 instead of cloud machines. What the 36GB unified memory figure means and what to check first. - [Local LLM Hardware: What Tokens Per Second Can You Expect?](https://goremy.ai/blog/articles/local-ai-gpu-mac-studio-tokens-per-second) (2026-10-24): Local LLM hardware tiers compared: RTX 4090, RTX 5090, RTX Pro 6000 Blackwell and Mac Studio, with prices, tokens per second, and multi-agent limits. - [Flint vs Qwen 3.8 27B: Which Local Coding Model Wins?](https://goremy.ai/blog/articles/flint-vs-qwen-3-8-27b-coding-benchmarks) (2026-10-24): Flint is roughly 10x faster than dense Qwen 3.8 27B but scores 55 vs 73 on Terminal Bench. Here is where each local coding model fits. - [How Fast Is Recraft V4.1 Flash, and Is There a Free Plan?](https://goremy.ai/blog/articles/recraft-v4-1-flash-pricing-free-plan-styles) (2026-10-24): Recraft V4.1 Flash makes images in about 1.3 seconds. See how the low-res draft plus enhance flow works, how custom shareable styles work, and the free plan. - [How to Use Cozy Clay 3.0 for Free 3D Previs in AI Video](https://goremy.ai/blog/articles/cozy-clay-3-free-3d-previs-pinocchio-ai-video) (2026-10-24): Cozy Clay 3.0 is a free, open-source 3D previs tool for AI video. Learn how to install it with Pinocchio, connect an agent, and control the camera. - [AI Cyberattack Wave: What Security Steps Should You Take?](https://goremy.ai/blog/articles/ai-cyberattack-wave-open-internet-security-response) (2026-10-24): A creator reported swarms of AI agents, leaked Railway API keys and PHP panic. Here is what is unverified and the security steps worth taking now. - [How Do You Run Carbon-X, the 14B DNA Language Model, Locally?](https://goremy.ai/blog/articles/carbon-x-dna-language-model-run-locally) (2026-10-24): Carbon-X is a 14.8B open DNA and text model that fits on one 80 GB GPU. Set up Transformers v5 or vLLM, handle DNA tokens, and call it from an agent. - [How to Use Claude Opus 5.5 for Long Coding Tasks](https://goremy.ai/blog/articles/claude-opus-5-5-long-task-engineering-workflow) (2026-10-24): Five habits for keeping Claude Opus 5.5 on track during hour-long coding runs: simple prompts, benchmarks, tests, reference designs, and team orchestration. - [How Do You Scale an AI Software Factory With Port?](https://goremy.ai/blog/articles/ai-software-factory-port-agent-skill-registry-context-lake) (2026-10-24): How to wrap an autonomous AI software factory in guardrails: agent and skill registries, a context lake, readiness scorecards, and controls, using Port. - [What Is the Kling IPO Plan and Who Owns Kling AI?](https://goremy.ai/blog/articles/kling-hong-kong-ipo-alibaba-tencent-baidu-investors) (2026-10-24): Kuaishou's Kling AI video unit plans a Hong Kong IPO next year at about $18B. Kuaishou holds 68%, with Alibaba, Tencent and Baidu as minority backers. - [What Is Iron Goddess, the Mystery AI Video Model on Arena?](https://goremy.ai/blog/articles/iron-goddess-mystery-ai-video-model-arena) (2026-10-24): Iron Goddess is an unreleased video model seen in Arena.ai battle mode. Test clips, native sound, a Seedance 2.5 comparison, and the Alibaba theory. - [How Good Is Ling-3.0 Flash Santé at Medical Reasoning?](https://goremy.ai/blog/articles/ling-3-0-flash-sante-healthcare-model-tested) (2026-10-24): InclusionAI's MIT-licensed Ling-3.0 Flash Santé is a 124B MoE healthcare model. See clinical test results, benchmark standing, and its lack of vision. - [Why Is Flint So Fast? MoE, Sliding Window, 4-Bit Output Layer](https://goremy.ai/blog/articles/flint-moe-architecture-explained-sliding-window-quantized-output) (2026-10-24): Flint runs about 10x faster than a dense 27B model. See how 2.5B active parameters, hybrid attention, a 4-bit output layer and a fused kernel do it. - [What Is Recursive's Eureka Machine and Did It Build Flint?](https://goremy.ai/blog/articles/recursive-eureka-machine-self-improving-ai-lab) (2026-10-24): Recursive, led by Richard Socher with $650M raised, says its Eureka machine helped design Flint's architecture, quantization, and kernels. What is known so far. - [How Do You Use Carbon-X as a DNA Tool for AI Agents?](https://goremy.ai/blog/articles/carbon-x-dna-tool-for-ai-agents-claude-code) (2026-10-23): Wrap a vLLM-served Carbon-X as an agent tool: ask_carbon, tool calling, Claude Code and Codex skills, Inspect, and tips for passing DNA by reference. - [Is AI Still a Black Box? What GoodFire Found in Neurons](https://goremy.ai/blog/articles/goodfire-neuron-interpretability-ai-black-box) (2026-10-23): GoodFire research suggests AI neurons that look random, like a car-and-cat unit, may share a concept such as pose. What it means for AI safety and reading LLMs. - [How Accurate Is Carbon-X on DNA Tasks vs GPT and Opus?](https://goremy.ai/blog/articles/carbon-x-benchmarks-vs-gpt-opus-dna-variant-effects) (2026-10-23): Carbon-X, a 14.8B DNA model, averages 66.7% on five benchmarks versus 67.5% for GPT-6.1 Sol at far lower cost. Results, weak spots, and limits. - [Which Security Patches Should You Apply Now? PHP, Node, GitLab](https://goremy.ai/blog/articles/internet-security-patches-this-week-php-nodejs-gitlab-litellm) (2026-10-23): A checklist for this week's incidents: PHP, Node.js and GitLab patches, a poisoned LiteLLM on PyPI, Plex, Railway and AI key theft, and what to rotate. - [How Much Does OmniHuman 2.0 Cost and What Can It Make?](https://goremy.ai/blog/articles/omnihuman-2-0-pricing-five-minute-video) (2026-10-23): ByteDance's OmniHuman 2.0 turns one image and audio into up to five minutes of 720p video. Price fell from 12 to 7 cents per second, about $21 per full clip. - [How Much Does Fish Audio Drama 3 Cost? Pricing and License](https://goremy.ai/blog/articles/fish-audio-drama-3-pricing-license-api) (2026-10-23): Fish Audio Drama 3 API costs about $10 per million characters at launch, then $50 after Nov 12. License limits, fallback billing and free trial explained. - [Who Can Use Claude Duet and How Do Its Usage Limits Work?](https://goremy.ai/blog/articles/claude-duet-access-usage-limits) (2026-10-23): Claude Duet is in research preview for Pro and Max subscribers in the US via waitlist. Here is who qualifies and how it shares your plan's usage limits. - [How Good Is Flint 40B at Coding? Benchmarks vs Qwen 3.8](https://goremy.ai/blog/articles/flint-40b-benchmarks-terminal-bench-swe-bench) (2026-10-23): Flint 40B scores 54.9% on Terminal-Bench 2.1 and 74.2% on SWE-bench Verified. See M4 Pro speed, NVFP4 vs BF16, and where Qwen 3.8 still wins. - [Will AI Make Us Busier or Free Up Time? Altman's View](https://goremy.ai/blog/articles/altman-renaissance-vs-industrial-revolution-ai-busier) (2026-10-23): Sam Altman says coders are busier than ever, and wants a renaissance over an industrial revolution. What it means for work, compute and inequality. - [Matrix Game 4.0 vs Nvidia StreamRender H3: How Do They Render Games?](https://goremy.ai/blog/articles/matrix-game-4-0-vs-nvidia-streamrender-h3) (2026-10-23): Matrix Game 4.0 hands a video model a low-poly render. Nvidia StreamRender H3 hands it a color-coded map. Here is how the two approaches differ. - [How Does Sage-A1.5 Compare to Kimi-K3, GLM-5.3 and GPT-5.6-sol?](https://goremy.ai/blog/articles/sage-a1-5-benchmarks-vs-kimi-k3-glm-5-3) (2026-10-23): Sage-A1.5, a 35B MoE agentic model, hits 95.1 on GAIA and 61.2 on SWE-bench Pro. Here is where it beats or trails Kimi-K3, GLM-5.3 and GPT-5.6-sol. - [How to Run Flint 40B Locally: Ollama, GGUF, SGLang and VRAM Needs](https://goremy.ai/blog/articles/how-to-run-flint-40b-locally-ollama) (2026-10-23): Install Flint 40B locally with Ollama, llama.cpp or SGLang. Covers VRAM needs (about 32GB for the quant), GGUF Q4, NVFP4, MLX and BF16 on H200 or B300. - [How Do I Protect Myself After the PHP Vulnerabilities?](https://goremy.ai/blog/articles/how-to-protect-yourself-php-ai-cyberattacks) (2026-10-23): Steps for consumers and site owners after the PHP flaws: hardware keys, fewer accounts, patch and confirm, OAuth, and family verification phrases. - [How to Give an AI Agent a Spending Limit With a Virtual Card](https://goremy.ai/blog/articles/virtual-cards-for-ai-agents-spending-limits) (2026-10-23): Prompt rules are not spending limits. Learn how a virtual card with a weekly cap, category and country locks, expiry and webhooks constrains an AI agent. - [How to Enable Sage-A1.5 Subagent Orchestration and Verification Mode](https://goremy.ai/blog/articles/sage-a1-5-agentic-orchestration-spawn-subagent) (2026-10-23): Sage-A1.5 can fan work out to parallel subagents through a spawn_subagent tool and self-review with Verification Mode. Setup, schema and harness notes. - [How Do You Serve Sage-A1.5 With SGLang or vLLM at 512K Context?](https://goremy.ai/blog/articles/how-to-serve-sage-a1-5-sglang-vllm) (2026-10-23): Serve Sage-A1.5 with SGLang or vLLM: standard and MTP launch commands, parsers, and the YaRN factor 2.0 setup that extends 256K context to 512K. - [Does Vast-10M's 10-Million-Token Context Window Work in Practice?](https://goremy.ai/blog/articles/vast-10m-10-million-token-context-review) (2026-10-23): Hands-on look at Vast-10M, which swaps attention in DeepSeek V4 and GLM 5.2 for VSA. Results from a game build, HTML art, a legal corpus and 81 languages. - [What Is Claude Duet? Anthropic's Proactive Agent Explained](https://goremy.ai/blog/articles/claude-duet-proactive-agent-explained) (2026-10-23): Claude Duet is Anthropic's proactive agent on Opus 5.5. It runs in a cloud computer, sends morning briefs, and asks approval before emails or payments. - [Why Do Parallel AI Coding Agents Fry Your Focus, and What Helps?](https://goremy.ai/blog/articles/ai-context-switching-fried-focus-software-factory) (2026-10-23): Parallel coding agents raise output but fragment attention. Here is why context switching drains you and how a more autonomous harness cuts the babysitting. - [Sage-A1.5 Benchmarks: How Good Is Shanghai AI Lab's 35B Agent Model?](https://goremy.ai/blog/articles/sage-a1-5-shanghai-ai-lab-agentic-model) (2026-10-23): Sage-A1.5 is a 35B MoE agentic model from Shanghai AI Lab. See GAIA, BrowseComp and SWE-bench Pro scores against larger models, plus SGLang and vLLM serving. - [What is Raon-1 mini and can it run on one RTX 5090?](https://goremy.ai/blog/articles/raon-1-mini-preview-krafton-open-model) (2026-10-23): Raon-1 mini preview is KRAFTON AI's Apache 2.0 30B-A4B MoE with hybrid attention and 262K context. Specs, NVFP4 on a 32GB RTX 5090, and benchmarks. - [Can You Run Fish Audio Drama 3 Locally? VRAM and Setup Guide](https://goremy.ai/blog/articles/fish-audio-drama-3-run-locally-vram) (2026-10-23): Fish Audio Drama 3 is an open-weight MoE text-to-speech model. Here are the VRAM needs, the 4-bit quant, bracket directions, and how it ranks. - [How Long Does DeepSeek Cache Prompts, and How Do You Pay Less?](https://goremy.ai/blog/articles/deepseek-prompt-caching-how-long-and-cost) (2026-10-22): DeepSeek keeps its KV cache on disk for 3 days (agents) or 7 days (chat), and 96% of input tokens hit cache. Learn to keep prefixes stable and cut API cost. - [Can Open-Weight Models Run Mythos-Class Cyberattacks?](https://goremy.ai/blog/articles/open-weight-models-ai-cyberattacks-glasswing-patch-planet) (2026-10-22): Open-weight models like GLM 5.3 reportedly match restricted cyber models from Glasswing and Patch the Planet. Here is what it means for the next six months. - [How Did AI Find the PHP Vulnerability in OpenAI's Patch the Planet?](https://goremy.ai/blog/articles/how-ai-found-php-vulnerability-patch-the-planet) (2026-10-22): How Calif researchers used OpenAI and Gemini models plus a reusable skill file to turn a PHP out-of-memory bug into WordPress RCE, and what it means. - [PHP Critical Vulnerabilities: What Happened and Who Is at Risk?](https://goremy.ai/blog/articles/php-critical-vulnerabilities-what-happened) (2026-10-22): Two critical PHP flaws, found with AI help, led the NSA and Japan to urge patching or taking sites offline. Here is what happened and who is exposed. - [How to Stop Special-Token Prompt Injection on a Self-Hosted DeepSeek Model](https://goremy.ai/blog/articles/deepseek-recipe-special-token-prompt-injection) (2026-10-22): DeepSeek Recipe keeps user-typed control markers as plain text, blocking a classic injection trick. Here is how the failure works and how to test it yourself. - [Why Does Temperature 0 Still Give Different Answers in LLMs?](https://goremy.ai/blog/articles/temperature-zero-different-answers-batch-invariant) (2026-10-22): Temperature 0 isn't always deterministic. Batch composition changes GPU math and flips tokens. Here's why, and when to use batch-invariant inference. - [How Does DeepSeek's DeepInfra Serve 155 Trillion Tokens a Day?](https://goremy.ai/blog/articles/deepseek-deepinfra-inference-engine-explained) (2026-10-22): DeepSeek open-sourced its DeepInfra inference engine. See how prefill/decode split, expert balancing and speculative decoding work, and what you can run. - [What Does Stepful Do and How Does It Use AI to Train Healthcare Workers?](https://goremy.ai/blog/articles/stepful-series-c-healthcare-training-ai) (2026-10-22): Stepful raised a $55M Series C led by Oak HC/FT. See how its AI tutors, contracts with 39 health systems, and 5-month programs train healthcare workers. - [What Can Gemini 4 Argon Do? Five Practical Tests Explained](https://goremy.ai/blog/articles/gemini-4-argon-hands-on-tests) (2026-10-22): Five practical prompts for Gemini 4 Argon: game cloning, API vs subscription research, a 3D-printable STL, scheduling logic and a physics sandbox. - [What Does Sam Altman Say AI Math Discoveries Mean for Science and Coders?](https://goremy.ai/blog/articles/sam-altman-ai-math-discoveries-mathematicians-coders) (2026-10-22): Sam Altman on OpenAI's math proofs, a disease-treatment candidate within years, FDA limits, and why coders got busier instead of obsolete. - [How Much RAM and Storage Does a Mac mini Need for AI Agents?](https://goremy.ai/blog/articles/mac-mini-for-ai-agents-how-much-memory) (2026-10-22): Buying a Mac mini to run AI agents all day? Here is how to size RAM and storage, what local models change, and why a bigger machine won't fix agent bloat. - [Does Panda Code Cost Anything? Usage Limits and Token Savers](https://goremy.ai/blog/articles/panda-code-usage-limits-token-saver-costs) (2026-10-22): Panda Code is free and runs on your existing Claude, Codex, Kimi or GLM plans. See how it tracks 5-hour and weekly limits, resumes at reset and trims tokens. - [What Is Panda Code and How Does It Run Multiple Coding Agents?](https://goremy.ai/blog/articles/panda-code-open-source-coding-agent-gui) (2026-10-22): Panda Code is a free, open-source desktop app that runs Claude Code, Codex, Kimi and GLM agents in one window. Install steps and key features. - [How does Ornith-1.5-122B score against Qwen 3.8 and DeepSeek V4 Flash?](https://goremy.ai/blog/articles/ornith-1-5-122b-benchmarks-vs-qwen-deepseek-nemotron) (2026-10-22): Ornith-1.5-122B posts 76.9 on SWE-bench Pro and 84.5 on Verified. Here is how it compares with Qwen3.8, Nemotron 3.5 Super VL, DeepSeek-V4-Flash and Beam. - [Panda Code vs T3 Code: How Do Startup Time and Memory Compare?](https://goremy.ai/blog/articles/panda-code-vs-t3-code-memory-speed) (2026-10-22): A creator's tests put Panda Code at about 0.3 seconds to open and 130 to 160MB idle, versus about 3 seconds and 700MB for T3 Code. Here's why. - [How Much Does Mercury 3 Cost and Where Can You Access It?](https://goremy.ai/blog/articles/mercury-3-pricing-access-speed) (2026-10-22): Mercury 3 costs $0.10 input and $0.35 output per million tokens at launch, with 90% off cached input. See where to access it and which workloads fit. - [How does Hy-Memory-30B-A3B score against Claude Opus 5?](https://goremy.ai/blog/articles/hy-memory-30b-a3b-benchmark-results) (2026-10-22): Tencent's Hy-Memory-30B-A3B memory writer averages 55.49 across four harnesses vs Claude Opus 5 at 54.62. Per-harness and per-benchmark scores inside. - [How does Spark-X2.6-4B compare with Qwen3.5-4B and Gemma-E4B?](https://goremy.ai/blog/articles/spark-x2-6-4b-vs-qwen-3-5-4b-gemma-e4b) (2026-10-22): Spark-X2.6-4B claims best-in-class small-model results and efficiency on par with Qwen3.5-4B and Gemma-E4B. What the card says and what it leaves out. - [Dory 1.0 4B Benchmarks: How Do 1, 2 and 4 Loops Compare?](https://goremy.ai/blog/articles/dory-4b-benchmarks-vs-qwen-3-5-gemma-4) (2026-10-22): NVIDIA Dory1.0-4B scores 50.3 to 61.8 on SWE-bench Verified from 1 to 4 loops. See how it compares with Qwen3.5-4B, Qwen3.5-9B and Gemma 4. - [How to Run Ornith-1.5-122B Locally with llama.cpp and vLLM](https://goremy.ai/blog/articles/run-ornith-1-5-122b-locally-llama-cpp) (2026-10-22): Run Ornith-1.5-122B locally: llama.cpp GGUF setup, VRAM and context trade-offs, runtime versions to check, and how to handle thinking-mode output. - [Do Diffusion LLMs Scale? Mercury 3 vs Claude Haiku 5.5 and GPT-6 Luna](https://goremy.ai/blog/articles/do-diffusion-llms-scale-mercury-3-benchmarks) (2026-10-22): Mercury 3 is a diffusion LLM that hits 1,068 tokens/s. See how it differs from autoregressive models and how it compares with Haiku 5.5 and GPT-6 Luna. - [How Good Is DeepSeek-V4.1-Flash-1017 vs Opus 5 and GPT-5.6 Sol?](https://goremy.ai/blog/articles/deepseek-v4-1-flash-1017-benchmarks) (2026-10-22): DeepSeek-V4.1-Flash-1017 gains 11.1 points on Terminal-Bench 4.0 over V4.1-Flash. See how it stacks up against Opus 5, GPT-5.6 Sol, GLM-5.3 and K3. - [How to Run Hy-Memory-30B-A3B Locally with vLLM for Mem0 and MemOS](https://goremy.ai/blog/articles/run-hy-memory-30b-a3b-vllm-mem0) (2026-10-22): Serve Tencent's Hy-Memory-30B-A3B with vLLM as hy-memory, call it via the OpenAI-compatible API, and use it as the write path in Mem0 or MemOS. - [How to Run Spark-X2.6-4B Locally: Ollama, llama.cpp, MLX, vLLM](https://goremy.ai/blog/articles/spark-x2-6-4b-on-device-agent-model) (2026-10-22): Run Spark-X2.6-4B, an Apache 2.0 4B on-device agent model with 1M-token context, via Ollama, llama.cpp, LM Studio, MLX, vLLM or SGLang. - [How to Run Nemotron Dory 1.0 4B Locally and Pick a Loop Count](https://goremy.ai/blog/articles/run-nemotron-dory-4b-locally-loop-count) (2026-10-22): Run NVIDIA Dory1.0-4B locally with vLLM or llama.cpp on Apple Silicon, choose 1, 2 or 4 loops, and cut KV cache memory with last-loop caching. - [How Do I Fix Mac Memory Pressure from Codex and Claude Code Agents?](https://goremy.ai/blog/articles/fix-mac-memory-pressure-from-ai-agents) (2026-10-22): Find what Codex, Claude Code and local models leave running on your Mac, read memory pressure and storage, then clean up and cap agent jobs. - [How Do You Become a Solopreneur With Claude Code?](https://goremy.ai/blog/articles/claude-code-solopreneur-guide-services-sales) (2026-10-22): How to start a one-person AI services business with Claude Code: what to build, real project earnings, the sales funnel and the offer formula. - [How to Run DeepSeek-V4.1-Flash-1017 Without a Jinja Chat Template](https://goremy.ai/blog/articles/run-deepseek-v4-1-flash-1017-locally) (2026-10-22): DeepSeek-V4.1-Flash-1017 ships MIT-licensed with no Jinja template. See sampling settings, 1M context, the encoding folder and deepseek-recipe. - [What Is Nemotron 3.5 Super VL? Architecture, Speed and 1M Context](https://goremy.ai/blog/articles/nemotron-3-5-super-vl-architecture-speed-context) (2026-10-21): NVIDIA's open-weight Nemotron 3.5 Super VL uses Mamba-2, MoE and attention with 120B total, 12B active parameters and 1M context. Here is where it fits. - [How Do You Control an LG or Android TV with Hermes Agent and Ollama?](https://goremy.ai/blog/articles/control-smart-tv-hermes-agent-ollama) (2026-10-21): Enable developer mode on an LG or Android TV, find its IP, and point Hermes agent at a local Qwen model in Ollama to manage settings with an undo list. - [How Can an AI Agent Improve Its Own Harness in Production?](https://goremy.ai/blog/articles/agent-harness-engineering-langchain-managed-deep-agents) (2026-10-21): Learn how two loops, escalation memory and trace-based fixes in LangSmith Engine, help a production agent learn from mistakes while humans stay in control. - [How Good Is Nemotron 3.5 Super VL for Agentic Coding and Vision?](https://goremy.ai/blog/articles/nemotron-3-5-super-vl-hands-on-test) (2026-10-21): Hands-on results for NVIDIA's open Nemotron 3.5 Super VL (120B, 12B active): bug fixing, vision, translation, circuits, and benchmarks. - [What Is Mercury Decide? Inception's Diffusion Decision Model Explained](https://goremy.ai/blog/articles/what-is-mercury-decide-diffusion-decision-model) (2026-10-21): Mercury Decide returns an answer and probability in about 0.16 seconds, now with images. How it works, its independent evals, and how to pair it with Mercury 3. - [What Is NVIDIA Nemotron Dory 1.0 4B? Looped Model Explained](https://goremy.ai/blog/articles/nvidia-nemotron-dory-1-0-4b-looped-model) (2026-10-21): Dory1.0-4B is NVIDIA's looped 4B language model that reuses a shared layer block to scale compute per token. Architecture, loop counts, and benchmarks. - [How Does Microsoft Agent 365 Secure AI Agents Beyond Prompt Injection?](https://goremy.ai/blog/articles/microsoft-agent-365-project-perception-agent-security) (2026-10-21): Microsoft Agent 365 and Project Perception give agents their own identity, time-bound permissions and risk-based access. Here is how the pieces fit. - [Cloud AI API vs Local LLM Costs: Where Does Self-Hosting Break Even?](https://goremy.ai/blog/articles/cloud-ai-api-vs-local-llm-costs-where-does-self-hosting-break) (2026-10-21): Compare cloud AI API pricing with self-hosting a local LLM. See GPU rental rates, hidden staffing costs, and the monthly token volume where self-hosting wins. - [How Does Ornith-1.5-122B Perform on Real Tasks? Hands-On Test Results](https://goremy.ai/blog/articles/ornith-1-5-122b-hands-on-review) (2026-10-21): Ornith-1.5-122B tested on a Docker bug fix, vision, screenshot reasoning, creative HTML and 80-language translation. Here is where it held up and failed. - [How to Set Up a GPT-6 Astra Software Factory](https://goremy.ai/blog/articles/how-to-set-up-a-gpt-6-astra-software-factory) (2026-10-21): Learn how to build a 24/7 AI software factory with GPT-6 Astra: the seven infrastructure stations, model routing, verification, and real build costs. - [What Is GPT-6 Astra UI Generation? How It Works](https://goremy.ai/blog/articles/what-is-gpt-6-astra-ui-generation-how-it-works) (2026-10-21): GPT-6 Astra generates finished UIs from one prompt and operates software by reading the screen. See how it works, benchmark scores, pricing, and limits. - [How to Run Local AI Models: Hardware, Tools, and Costs](https://goremy.ai/blog/articles/how-to-run-local-ai-models-hardware-tools-and-costs) (2026-10-21): Learn how to run local AI models with Ollama or LM Studio on a laptop, GPU, or phone, plus local image and music generation and API cost break-even. - [Open Source Vision Model vs Gemini: Which Is Better for Internal Tools?](https://goremy.ai/blog/articles/open-source-vision-model-vs-gemini-which-is-better-for-internal) (2026-10-21): Compare Ling-3.0-flash-VL with Gemini for internal vision tools: benchmark scores, per-seat vs inference cost, data residency, and governance risks. - [What Is Open Source AI Regulation? Laws, Licenses and Limits](https://goremy.ai/blog/articles/what-is-open-source-ai-regulation-laws-licenses-and-limits) (2026-10-21): How the EU AI Act, state right-to-compute laws like Montana's SB 212, and Meta's Llama license shape open source AI rules, and what builders should check. - [Can AI Agents Talk to Each Other? MCP, A2A and Secret Channels](https://goremy.ai/blog/articles/can-ai-agents-talk-to-each-other-mcp-a2a-and-secret-channels) (2026-10-21): AI agents communicate through protocols like MCP and A2A, and sometimes invent their own channels. Learn how it works, the risks, and how to govern it. - [How to Run CUDA on AMD GPUs With ZLUDA on Windows](https://goremy.ai/blog/articles/how-to-run-cuda-on-amd-gpus-with-zluda-on-windows) (2026-10-21): Learn how to run CUDA apps on AMD GPUs with ZLUDA on Windows: setup steps, supported GPUs, legal risk under NVIDIA's EULA, and what still breaks. - [What Is Shadow AI? Corporate Liability Risks and Who Is Accountable](https://goremy.ai/blog/articles/what-is-shadow-ai-corporate-liability-risks-and-who-is) (2026-10-21): Shadow AI can trigger AI-washing fraud charges, EU AI Act fines, and scraping lawsuits. See who holds the legal liability inside a company and how to govern it. - [How to Secure Employee-Built AI Agents From Prompt Injection](https://goremy.ai/blog/articles/how-to-secure-employee-built-ai-agents-from-prompt-injection) (2026-10-21): Learn how to secure shadow AI agents built by employees: inventory them, limit access, add human checkpoints, and defend against prompt injection and EchoLeak-style attacks. - [How to Run a Local AI Coding Agent on a Mac Mini (M4)](https://goremy.ai/blog/articles/how-to-run-a-local-ai-coding-agent-on-a-mac-mini-m4) (2026-10-21): Build a local AI coding agent on an M4 Mac Mini with Ollama's MLX backend, Qwen3-Coder-Next, Serena MCP tools, and a Panel chat UI. No token billing. - [What Is the Impact of AI-Generated Code on Open-Source Quality?](https://goremy.ai/blog/articles/what-is-the-impact-of-ai-generated-code-on-open-source-quality) (2026-10-21): How AI-generated code affects open-source quality, from F-Droid and Flathub app slop to curl's ended bug bounty, with data from GitClear, Apiiro and METR. - [What Is an Agentic OS? Windows vs Omarchy Compared](https://goremy.ai/blog/articles/what-is-an-agentic-os-windows-vs-omarchy-compared) (2026-10-21): An agentic OS lets AI agents act on files, settings, and apps. See how Windows 11 and Omarchy Linux differ on who controls the agent, plus real risks. - [Are SaaS Terms of Service Changing for AI? What Vendors Are Doing](https://goremy.ai/blog/articles/are-saas-terms-of-service-changing-for-ai-what-vendors-are-doing) (2026-10-21): 92% of AI vendor contracts claim data rights beyond what the service needs. See why SaaS terms of service are changing for AI and how to audit yours. - [Can AI Build Enterprise Software? What Benchmarks Show](https://goremy.ai/blog/articles/can-ai-build-enterprise-software-what-benchmarks-show) (2026-10-21): Claude found new DNA machinery in 21 hours, yet AI agents solve only 25% to 39% of real enterprise coding tasks. See the benchmark data and failure modes. - [How to Govern AI-Generated Internal Tools Without Slowing Teams](https://goremy.ai/blog/articles/how-to-govern-ai-generated-internal-tools-without-slowing-teams) (2026-10-21): Learn how to govern AI-built internal tools with a 30-day inventory, risk tiers, and a paved path, backed by data on shadow AI breach costs and exposed apps. - [Why Is My SaaS Bill Rising Despite AI? Costs and Fixes](https://goremy.ai/blog/articles/why-is-my-saas-bill-rising-despite-ai-costs-and-fixes) (2026-10-21): Enterprise SaaS spend rose 8% to $55.7M on average even as AI speeds up work. See how vendors recapture savings and what to check before renewal. - [Who Is Liable for Third-Party Facial Recognition Errors?](https://goremy.ai/blog/articles/who-is-liable-for-third-party-facial-recognition-errors) (2026-10-21): Who pays when rented facial recognition causes a false arrest? See NIST error data, the Workday ruling, settlements, and the SaaS contract terms that shift risk. - [How to Audit AI Agents: Identity, Authorization, and Logging](https://goremy.ai/blog/articles/how-to-audit-ai-agents-identity-authorization-and-logging) (2026-10-21): Learn how to audit AI agents with per-agent cryptographic identity, per-action authorization, and tamper-evident logs, based on NSA and Five Eyes guidance. - [How to Run AI Coding Agents Locally with Magnitude](https://goremy.ai/blog/articles/how-to-run-ai-coding-agents-locally-with-magnitude) (2026-10-21): Learn how to run Claude Code, Codex, or Cline locally with Magnitude in three steps, plus DeepSeek vs OpenAI cost math and the tool's alpha limits. - [How to Run Distilled AI Models Locally (DeepSeek-R1, Ollama)](https://goremy.ai/blog/articles/how-to-run-distilled-ai-models-locally-deepseek-r1-ollama) (2026-10-21): Learn how to pick, quantize, and run distilled models like DeepSeek-R1 locally with Ollama or llama.cpp, and when self-hosting beats API costs. - [Is Omarchy Linux Good for Developers? Pros, Cons, and Who It Fits](https://goremy.ai/blog/articles/is-omarchy-linux-good-for-developers-pros-cons-and-who-it-fits) (2026-10-21): Omarchy is DHH's Arch and Hyprland desktop with built-in AI coding agents. See review scores, security issues, costs vs Codespaces, and who should switch. - [What Is Shadow AI Voice Agent Risk? TCPA, BIPA, EU AI Act](https://goremy.ai/blog/articles/what-is-shadow-ai-voice-agent-risk-tcpa-bipa-eu-ai-act) (2026-10-21): No-code voice bots from Vapi, Bland AI, Retell and Synthflow can bypass IT. See the TCPA, BIPA, EU AI Act, and PCI/HIPAA risks and how to govern them. - [How to Limit AI API Costs With Hard Spend Caps](https://goremy.ai/blog/articles/how-to-limit-ai-api-costs-with-hard-spend-caps) (2026-10-21): Learn how to set hard, pre-call spend caps on AI APIs, provider by provider, plus loop guards and rate limits that stop a runaway agent's bill. - [Best Tools for Running AI Locally: Ollama vs LM Studio vs vLLM](https://goremy.ai/blog/articles/best-tools-for-running-ai-locally-ollama-vs-lm-studio-vs-vllm) (2026-10-21): Compare Ollama, LM Studio, llama.cpp, Open WebUI, AnythingLLM, and vLLM across runtime, interface, and server layers, plus VRAM needs and cost. - [How Much Does Codex Ultrafast Cost? $500 Plan vs. Claude](https://goremy.ai/blog/articles/how-much-does-codex-ultrafast-cost-500-plan-vs-claude) (2026-10-21): Codex Ultrafast requires the $500 Pro plan and burns allowance at 6-8x the standard rate. See the cost math against Claude Sonnet 5.5, Claude Max and DeepSeek. - [How to Manage Multiple AI Coding Agents: A Practical Guide](https://goremy.ai/blog/articles/how-to-manage-multiple-ai-coding-agents-a-practical-guide) (2026-10-21): Learn how to run Claude Code, Copilot, Cursor, and Codex together with a secrets vault, git worktrees, task routing, human review gates, and audit trails. - [Best Open Source AI Models for Internal Tools: Which to Pick?](https://goremy.ai/blog/articles/best-open-source-ai-models-for-internal-tools-which-to-pick) (2026-10-21): Compare Llama, Qwen, Mistral, DeepSeek, gpt-oss, and small models by license, hardware needs, and self-hosting break-even to pick one for internal tools. - [How to Run Local AI Coding Agents with Open Source Tools](https://goremy.ai/blog/articles/how-to-run-local-ai-coding-agents-with-open-source-tools) (2026-10-21): Set up a free local AI coding agent with Ollama, Qwen2.5-Coder or Devstral, and Aider or Cline. Covers hardware, benchmarks, costs vs Copilot, and tradeoffs. - [What Are the Security Risks of Employees Using AI Agents?](https://goremy.ai/blog/articles/what-are-the-security-risks-of-employees-using-ai-agents) (2026-10-21): Employees are giving AI agents access to email and company systems. See real incidents, breach cost data, liability questions, and a governance checklist. - [AI Agents vs SaaS Software: Which Should Run Business Workflows?](https://goremy.ai/blog/articles/ai-agents-vs-saas-software-which-should-run-business-workflows) (2026-10-21): Real examples of AI agents running business workflows in labs, support, legal review, coding, and scheduling, plus where SaaS seats still win. - [Open Source LLM vs. ChatGPT Enterprise: Which Costs Less?](https://goremy.ai/blog/articles/open-source-llm-vs-chatgpt-enterprise-which-costs-less) (2026-10-21): Compare the total cost of self-hosting open-weight LLMs vs. ChatGPT Enterprise and Microsoft Copilot, with per-seat pricing, break-even points, and hidden costs. - [What Is Morgan Stanley AIMS? How the GPT-4 Advisor Assistant Works](https://goremy.ai/blog/articles/what-is-morgan-stanley-aims-how-the-gpt-4-advisor-assistant-works) (2026-10-21): Morgan Stanley AIMS is a GPT-4 assistant searching 100,000+ documents for 16,000 advisors. See how it works, its compliance guardrails, and eval setup. - [Klarna AI vs Human Support: Which Does Klarna Use Now?](https://goremy.ai/blog/articles/klarna-ai-vs-human-support-which-does-klarna-use-now) (2026-10-21): Klarna's AI assistant did the work of 700 agents, yet the company rebuilt a human support layer in 2025. See what changed, why, and how its hybrid model works. - [How to Reduce LLM API Costs: 5 Methods Compared](https://goremy.ai/blog/articles/how-to-reduce-llm-api-costs-5-methods-compared) (2026-10-21): Learn how to cut LLM API costs with prompt caching, batching, model routing, context trimming, and self-hosting, plus the pricing math behind each method. - [What Is the Epic Sepsis Model? Accuracy and Validation Results](https://goremy.ai/blog/articles/what-is-the-epic-sepsis-model-accuracy-and-validation-results) (2026-10-21): Epic's sepsis model scored 0.63 AUC in Michigan Medicine testing versus a claimed 0.76 to 0.83, and missed 67% of sepsis cases. See why it failed. - [Moffatt v. Air Canada: Is a Company Liable for Its Chatbot?](https://goremy.ai/blog/articles/moffatt-v-air-canada-is-a-company-liable-for-its-chatbot) (2026-10-21): Moffatt v. Air Canada explained: how a BC tribunal held the airline liable for its chatbot's false refund advice, the CA$812.02 award, and what it means for AI bots. - [What Is Kaiser Permanente's AI Scribe? Rollout, Results, Risks](https://goremy.ai/blog/articles/what-is-kaiser-permanentes-ai-scribe-rollout-results-risks) (2026-10-21): Kaiser Permanente's ambient AI scribe reached 7,260 physicians and 2.5M encounters. See the NEJM results, the Nabla to Abridge switch, and QA guardrails. - [AI Coding Agents vs IDE Subscriptions: Which Costs More?](https://goremy.ai/blog/articles/ai-coding-agents-vs-ide-subscriptions-which-costs-more) (2026-10-21): Compare AI coding agent token costs with flat IDE subscriptions like Cursor and Copilot, including real budget data from Uber, DX, and Vantage. - [How to Review AI-Generated Pull Requests: A Step-by-Step Workflow](https://goremy.ai/blog/articles/how-to-review-ai-generated-pull-requests-a-step-by-step-workflow) (2026-10-21): Learn how to review AI-generated pull requests with automated security gates, slopsquatting defenses, and a human checklist built for how AI agents fail. - [How to Build an Open Source AI Router to Replace Per-Seat Pricing](https://goremy.ai/blog/articles/how-to-build-an-open-source-ai-router-to-replace-per-seat-pricing) (2026-10-21): Build a self-hosted AI router with LiteLLM, open-weight models, and a vector database. Includes AT&T's 56% cost cut, setup steps, and per-seat cost comparison. - [How to Block AI Content in Google Search Results](https://goremy.ai/blog/articles/how-to-block-ai-content-in-google-search-results) (2026-10-21): Block AI content in search with Google's udm=14 filter, uBlock Origin blocklists, Slop Evader, and AI-filtering engines like Kagi and DuckDuckGo. - [How to Run Multiple AI Coding Agents on One Repo Safely](https://goremy.ai/blog/articles/how-to-run-multiple-ai-coding-agents-on-one-repo-safely) (2026-10-21): Learn how to run several AI coding agents on one repo without merge conflicts, using git worktrees, ownership-based task splits, serial merges, and CODEOWNERS. - [How to Scan AI-Generated Code for Vulnerabilities Before Merge](https://goremy.ai/blog/articles/how-to-scan-ai-generated-code-for-vulnerabilities-before-merge) (2026-10-21): Set up a CI gate with secrets scanning, dependency checks for hallucinated packages, and blocking SAST, enforced by branch protection on every pull request. - [How to Build a Local AI Second Brain: Step-by-Step Guide](https://goremy.ai/blog/articles/how-to-build-a-local-ai-second-brain-step-by-step-guide) (2026-10-21): Build a local AI second brain with markdown notes, Ollama, a local vector store for RAG, and automation. Covers hardware needs, tradeoffs, and maintenance. - [How to Secure Employee AI Agent Usage: A Step-by-Step Framework](https://goremy.ai/blog/articles/how-to-secure-employee-ai-agent-usage-a-step-by-step-framework) (2026-10-21): Secure employee AI agent usage in four steps by inventorying shadow agents, setting a fast approval policy, brokering MCP access, and monitoring continuously. - [Claude Haiku 5.5 vs. Local Models: Which Is Cheaper for Coding?](https://goremy.ai/blog/articles/claude-haiku-5-5-vs-local-models-which-is-cheaper-for-coding) (2026-10-21): Claude Haiku 5.5 vs. local models for coding, compared on API token prices, electricity, and the engineering time each takes to run and maintain for a team. - [Can AI Solve Complex Math Problems? Where It Works and Fails](https://goremy.ai/blog/articles/can-ai-solve-complex-math-problems-where-it-works-and-fails) (2026-10-21): Can AI solve complex math problems? Top models reached gold-medal scores at the 2025 IMO but still miss basic word problems. Here is where AI math works and where it breaks. - [AI Decision Models vs. LLMs: Which Should You Use?](https://goremy.ai/blog/articles/ai-decision-models-vs-llms-which-should-you-use) (2026-10-21): AI decision models vs. LLMs compared on how they work, cost, latency, and benchmark results, with guidance on when to use each for routing and classification. - [Best AI Model for Internal Tools in 2026: GPT-6 Astra vs Claude Opus 5.5](https://goremy.ai/blog/articles/best-ai-model-for-internal-tools-in-2026-gpt-6-astra-vs-claude) (2026-10-21): Compare GPT-6 Astra, Claude Opus 5.5, and open-weight models like DeepSeek V4.1 Flash for internal tools, with pricing, benchmarks, and self-hosting costs. - [Local AI Hardware vs. ChatGPT Plus: Which Costs Less?](https://goremy.ai/blog/articles/local-ai-hardware-vs-chatgpt-plus-which-costs-less) (2026-10-21): Compare a $1,000-$2,500 local AI rig with ChatGPT Plus or Claude Pro: break-even in 11-24 months, electricity costs, and open-model quality tradeoffs. - [How to Reduce LLM Token Usage With Local Indexing](https://goremy.ai/blog/articles/how-to-reduce-llm-token-usage-with-local-indexing) (2026-10-21): Learn how local vector databases, AST indexes, and semantic tool routers can cut LLM token spend 40-90% by sending only the context each query needs. - [Why Rewrite AI Agents in Rust? Python vs Rust for Agents](https://goremy.ai/blog/articles/why-rewrite-ai-agents-in-rust-python-vs-rust-for-agents) (2026-10-21): Python wrappers hit GIL and memory limits at agent scale. See how GitHub and OpenAI moved to Rust, the benchmarks, the risks, and when a rewrite pays off. - [How to Evaluate Internal AI Coding Tools Beyond Benchmark Scores](https://goremy.ai/blog/articles/how-to-evaluate-internal-ai-coding-tools-beyond-benchmark-scores) (2026-10-21): Learn how to evaluate internal AI coding tools using adoption, retention, PR throughput, and developer satisfaction instead of SWE-bench leaderboard scores. - [How Much Does an AI Agent Cost in Production? Real Monthly Costs](https://goremy.ai/blog/articles/how-much-does-an-ai-agent-cost-in-production-real-monthly-costs) (2026-10-21): AI agents cost $3,200 to $13,000 a month in production. See how sandboxes, identity, observability, and retries add to token spend, with real pricing. - [How to Run DeepSeek R1 671B Locally by Streaming Experts Off SSD](https://goremy.ai/blog/articles/how-to-run-deepseek-r1-671b-locally-by-streaming-experts-off-ssd) (2026-10-21): Learn how to run 671B MoE models like DeepSeek R1 locally with llama.cpp, KTransformers and Unsloth quants, with hardware tiers and tokens per second. - [What Is the Risk of Third-Party API Dependencies? Real Outage Costs](https://goremy.ai/blog/articles/what-is-the-risk-of-third-party-api-dependencies-real-outage) (2026-10-21): What are the risks of third-party API dependencies? See how CrowdStrike, AWS, and Starlink outages cost billions, plus a due-diligence checklist to reduce risk. - [What Is AI Code Bloat? How to Measure and Manage It](https://goremy.ai/blog/articles/what-is-ai-code-bloat-how-to-measure-and-manage-it) (2026-10-21): AI code bloat explained: how duplication, falling code reuse, and error-masking show up in GitClear, DORA, and CodeRabbit data, plus metrics to track. - [What Is Explainable AI for Code? How to Audit AI-Written Code](https://goremy.ai/blog/articles/what-is-explainable-ai-for-code-how-to-audit-ai-written-code) (2026-10-21): Learn how explainable AI and reverse engineering help you audit AI-generated code, reduce cognitive debt, and meet compliance needs, with data from recent studies. - [What Is an Enterprise LLM Gateway? Best Options for Sensitive Data](https://goremy.ai/blog/articles/what-is-an-enterprise-llm-gateway-best-options-for-sensitive-data) (2026-10-21): Compare Portkey, Kong, LiteLLM, Cloudflare, and AWS Bedrock on PII redaction, compliance certifications, and data residency to stop shadow AI data leaks. - [How to Secure and Govern AI Agents Without Blocking Them](https://goremy.ai/blog/articles/how-to-secure-and-govern-ai-agents-without-blocking-them) (2026-10-20): Learn how to secure and govern AI agents with a 7-step containment model: inventory, autonomy tiers, least privilege, sandboxing, approval gates, and monitoring. - [Local AI vs. API: Which Is Cheaper? Real Cost Breakdown](https://goremy.ai/blog/articles/local-ai-vs-api-which-is-cheaper-real-cost-breakdown) (2026-10-20): Compare local AI vs. API costs with real break-even math: GPU amortization, electricity, ops labor and per-token pricing, from 0.3 to 69 months. - [What Is SaaS Sunsetting? The CoScreen Shutdown Explained](https://goremy.ai/blog/articles/what-is-saas-sunsetting-the-coscreen-shutdown-explained) (2026-10-20): Datadog shut down CoScreen in 2026, four years after buying it. See how SaaS sunsetting works, what it costs teams, and how to reduce your exposure. - [Can You Opt Out of AI Scraping? Robots.txt vs Self-Hosting](https://goremy.ai/blog/articles/can-you-opt-out-of-ai-scraping-robots-txt-vs-self-hosting) (2026-10-20): Can you opt out of AI scraping? Robots.txt and platform toggles often fail to stop AI crawlers, so self-hosting your site is the more reliable defense in practice. - [How to Tell If AI Is Actually Making Developers More Productive](https://goremy.ai/blog/articles/how-to-tell-if-ai-is-actually-making-developers-more-productive) (2026-10-20): METR, DORA, and Faros data show AI can slow developers and hurt delivery stability. Learn five signs your AI coding stack adds output but not value. - [How Does ChatGPT Choose Which Sources to Cite?](https://goremy.ai/blog/articles/how-does-chatgpt-choose-which-sources-to-cite) (2026-10-20): How ChatGPT chooses which sources to cite, from query rewriting and retrieval to ranking by authority and freshness, and why most retrieved pages go uncited. - [What Is HTTP Header Prompt Injection? How It Works and How to Stop It](https://goremy.ai/blog/articles/what-is-http-header-prompt-injection-how-it-works-and-how-to) (2026-10-20): HTTP header prompt injection hides instructions in response metadata that AI agents read. Learn how it works, how common it is, and a 6-step prevention checklist. - [What Is Answer Engine Optimization? How to Get Cited by AI](https://goremy.ai/blog/articles/what-is-answer-engine-optimization-how-to-get-cited-by-ai) (2026-10-20): Ranking #1 on Google doesn't guarantee an AI citation. Learn what AEO is and which tactics work, based on Ahrefs and Princeton data on stats, structure and freshness. - [How to Structure Content So AI Assistants Cite It](https://goremy.ai/blog/articles/how-to-structure-content-so-ai-assistants-cite-it) (2026-10-20): Learn how to structure content so ChatGPT, Perplexity, and Google AI Overviews cite it, using answer-first sections, FAQs, and real citation data. - [Is Withings Apple Health Sync Free? New Withings+ Paywall Explained](https://goremy.ai/blog/articles/is-withings-apple-health-sync-free-new-withings-paywall-explained) (2026-10-20): Withings now charges new accounts $99.99/year for Apple Health and Health Connect sync. See who is affected, what stays free, and why the change matters. - [Is a Local LLM Cheaper Than an API for Business? Break-Even Math](https://goremy.ai/blog/articles/is-a-local-llm-cheaper-than-an-api-for-business-break-even-math) (2026-10-20): Learn how to run a local LLM for business: hardware tiers, 7B-30B model picks, Ollama and vLLM setup, and when owning GPUs beats paying API bills. - [How to Track Traffic From AI Assistants in GA4 and Server Logs](https://goremy.ai/blog/articles/how-to-track-traffic-from-ai-assistants-in-ga4-and-server-logs) (2026-10-20): Track traffic from AI assistants in GA4 and server logs with a custom source-only channel group, crawler log analysis, and IP-based bot verification. - [AEO vs SEO: Which Matters More for AI Search Visibility?](https://goremy.ai/blog/articles/aeo-vs-seo-which-matters-more-for-ai-search-visibility) (2026-10-20): AEO vs SEO for AI search visibility: how each earns results, where they differ, and which matters more now. Includes click data and a checklist. - [Local LLM vs API Cost: Which Is Cheaper to Run?](https://goremy.ai/blog/articles/local-llm-vs-api-cost-which-is-cheaper-to-run) (2026-10-20): Local LLM vs API cost compared. Renting tokens is cheaper at low or spiky usage, while owning hardware wins once workloads run steadily. Find your break-even point. - [What Is an AI Skill File? SKILL.md vs MCP Servers Explained](https://goremy.ai/blog/articles/what-is-an-ai-skill-file-skill-md-vs-mcp-servers-explained) (2026-10-20): An AI skill file (SKILL.md) is a markdown folder of instructions an agent loads on demand. Learn the format, token costs, and how it compares to MCP servers. - [Can You Run a Dev Environment in the Browser? WebContainers and More](https://goremy.ai/blog/articles/can-you-run-a-dev-environment-in-the-browser-webcontainers-and) (2026-10-20): Can you build a full-stack app with no cloud compute? We tested WebContainers, WebVM, Pyodide, HiGHS-js, and WebLLM to find what works and where it breaks. - [Is AI-Generated Code Secure? 2025 Data on Copilot Leaks and Agent Risks](https://goremy.ai/blog/articles/is-ai-generated-code-secure-2025-data-on-copilot-leaks-and-agent) (2026-10-20): AI-generated code fails security checks 45% of the time, Copilot repos leak secrets 40% more often, and shadow AI adds $670,000 to breach costs, per 2025 data. - [AI Model Size vs. Compute Effort: What Are You Actually Paying For?](https://goremy.ai/blog/articles/ai-model-size-vs-compute-effort-what-youre-paying-for) (2026-10-20): AI model size vs. compute effort explained. Model size is fixed at training, while compute effort is a per-request setting that moves your API bill and spend. - [OpenAI API vs Local GPU: Which Is Cheaper for AI Agents?](https://goremy.ai/blog/articles/openai-api-vs-local-gpu-which-is-cheaper-for-ai-agents) (2026-10-20): Compare OpenAI API pricing with a $2,000 local GPU for agentic workloads. See break-even times, token costs, and when renting beats owning. - [What Is an LLM Proxy? How to Set One Up for Local AI Agents](https://goremy.ai/blog/articles/what-is-an-llm-proxy-how-to-set-one-up-for-local-ai-agents) (2026-10-20): Learn what an LLM proxy is and how to set one up with LiteLLM to log prompts, tool calls, and spend from local AI agents like Ollama, Cline, and Continue. - [What Happens When a Registrar Seizes Your Domain? Causes and Fixes](https://goremy.ai/blog/articles/what-happens-when-a-registrar-seizes-your-domain-causes-and-fixes) (2026-10-20): Learn what happens when a registrar, court, or government seizes your domain, the three ways it occurs, UDRP disputes, and how to reduce the risk of losing it. - [What Is MCP Shadow IT? How Employees Bypass Enterprise AI Plans](https://goremy.ai/blog/articles/what-is-mcp-shadow-it-how-employees-bypass-enterprise-ai-plans) (2026-10-20): MCP shadow IT is when employees link personal AI accounts to Slack, Notion, and Gmail. See the data, the Asana leak, and how IT teams can respond. - [How to Orchestrate Multiple AI Agents for Coding](https://goremy.ai/blog/articles/how-to-orchestrate-multiple-ai-agents-for-coding) (2026-10-20): Learn how to orchestrate planner, coder, reviewer, and tester AI agents: worktrees, file locking, quality gates, token costs, and where multi-agent setups fail. - [Best AI Models for Internal Tools: Dense vs MoE vs Reasoning](https://goremy.ai/blog/articles/best-ai-models-for-internal-tools-dense-vs-moe-vs-reasoning) (2026-10-20): Compare dense, MoE, reasoning, and state-space AI models for internal tools by cost per task, latency, self-hosting hardware needs, and governance. - [How to Stay Valuable as a Software Engineer When AI Writes the Code](https://goremy.ai/blog/articles/how-to-stay-valuable-as-a-software-engineer-when-ai-writes-the) (2026-10-20): Which software engineering skills matter when AI writes the code? Learn five: directing agents, verifying output, system design, governance, and ownership. - [How to Monitor AI Agents in the Workplace: A Step-by-Step Guide](https://goremy.ai/blog/articles/how-to-monitor-ai-agents-in-the-workplace-a-step-by-step-guide) (2026-10-20): Learn how to monitor AI agents at work with a six-step framework: agent inventory, non-human identity, autonomy tiers, runtime logging, kill switches, and NIST/OWASP alignment. - [Is Local AI Cheaper Than APIs? DeepSeek Ban and Self-Hosting Costs](https://goremy.ai/blog/articles/is-local-ai-cheaper-than-apis-deepseek-ban-and-self-hosting-costs) (2026-10-20): DHS banned DeepSeek from 100+ federal agencies. See what running AI models locally costs, from a $6,000 CPU build to H100 clusters, and when it beats APIs. - [AI Decision Models vs. Execution Models: Which Does What?](https://goremy.ai/blog/articles/ai-decision-models-vs-execution-models-which-does-what) (2026-10-20): Decision models return typed choices and scores; execution models and sandboxed code act on them. Compare latency, cost, and real benchmarks. - [How to Review AI-Generated Code: A Checklist for Developers](https://goremy.ai/blog/articles/how-to-review-ai-generated-code-a-checklist-for-developers) (2026-10-20): Learn how to review AI-generated code: verify behavior, check dependencies, scan for security flaws, and add monitoring. Includes data on why standard PR review fails. - [Stop Pasting Internal Documents Into ChatGPT. Build This Instead.](https://goremy.ai/blog/articles/how-to-securely-use-chatgpt-for-internal-company-documents) (2026-10-20): Employees are pasting trade secrets into ChatGPT. Here's how to build a locally hosted, permission-aware document scanner that stops the leak without a ban. - [What Is Agent-Native Software?](https://goremy.ai/blog/articles/what-is-agent-native-software-a-plain-english-guide) (2026-10-19): Agent-native software means AI agents and humans share the same callable actions, data, and permissions. Here's the architecture, the jargon, and a checklist. - [Open Source AI vs SaaS AI: The Privacy Case for Owning Your Models](https://goremy.ai/blog/articles/open-source-ai-vs-saas-ai-the-real-privacy-case) (2026-10-19): Court orders, training opt-outs, and leaks at OpenAI, Anthropic, and xAI show renting AI exposes your data. Here's the case for running open weights yourself. - [The 'Mathocalypse' and Why Rented Security Is a Liability](https://goremy.ai/blog/articles/ai-encryption-risk-why-rented-saas-security-is-a-liability) (2026-10-18): AI math breakthroughs are compressing encryption's safety margin. Here's why enterprises renting security from opaque SaaS vendors can't keep pace. - [AI Models Can Provably Hide Capabilities. Here's the Security Risk That Creates](https://goremy.ai/blog/articles/ai-models-hiding-capabilities-the-real-security-risk) (2026-10-18): New research shows AI models can provably hide capabilities, and the labs that build them call breaches inevitable. Here's why that makes building internally a security control. - [How to Set Up Claude Code Auto Research: Building an AI Software Factory](https://goremy.ai/blog/articles/how-to-set-up-claude-code-for-auto-research) (2026-10-17): A practical guide to setting up Claude Code auto mode, subagents, and verification loops so agents research and fix bugs in parallel before a human merges. - [The Hidden Costs of Cloud Data Centers: Who Really Pays for 'the Cloud'](https://goremy.ai/blog/articles/hidden-costs-of-cloud-data-centers-explained) (2026-10-17): Electric bills, water tables, bot traffic, and egress fees: who actually pays for the cloud. A data-backed look at cloud computing's externalized costs. - [AI Coding Tools Are Quietly Fixing Developer RSI. Burnout Is Still Rising.](https://goremy.ai/blog/articles/can-ai-coding-tools-reduce-developer-burnout-and-rsi) (2026-10-16): AI coding assistants cut keystrokes and seem to ease RSI for some developers, but burnout keeps rising. Here's what the data actually shows. - [The Latest Microsoft Patch Disaster Proves the Risk of Forced SaaS Updates](https://goremy.ai/blog/articles/risks-of-forced-saas-updates-why-ownership-matters) (2026-10-16): Microsoft's Windows and Excel failures, plus the CrowdStrike outage, show the real risks of forced SaaS updates: no control over timing, no way to opt out. - [The Verification Bottleneck: When Your AI Writes Logic You Can't Audit](https://goremy.ai/blog/articles/how-to-verify-ai-generated-complex-logic-a-governance-guide) (2026-10-16): Human review can't keep up with AI-generated code and math. Here's why formal, machine-checkable verification is becoming the real governance control. - [How to Secure AI Agents in Production: Complete Guide](https://goremy.ai/blog/articles/how-to-secure-ai-agents-in-production-complete-guide) (2026-10-15): Securing AI agents in production takes four controls: unique non-human identities, least-privilege access, sandboxed execution, and tamper-proof logging. - [Omarchy Linux Review: AI Capabilities, Tested Hands-On](https://goremy.ai/blog/articles/omarchy-linux-review-ai-capabilities-hands-on) (2026-10-15): Omarchy ships 10 AI coding agents built into the desktop. A hands-on look at what works, what's shaky, and who should actually run it. - [We Tested Our Team on Spotting AI-Generated Work. They Failed.](https://goremy.ai/blog/articles/can-employees-tell-if-content-is-ai-generated-we-tested-it) (2026-10-14): We secretly tested our team on spotting AI vs. human content. Accuracy barely beat a coin flip, matching research from 19% to 76%. Here's what to build instead. - [What Are ChatGPT Dots? Camera Scan vs. Always-On AI Agents](https://goremy.ai/blog/articles/what-are-chatgpt-dots-scan-menu-vs-always-on-agents) (2026-10-14): "ChatGPT dots" means two different OpenAI features: a camera Scan menu for PDFs and a separate always-on agent. Here's how each works and where each falls short. - [The Supermarket Fridge Hack Is a Warning About Rented Infrastructure](https://goremy.ai/blog/articles/supermarket-fridge-hack-europe-what-happened-and-how-to-prevent) (2026-10-13): The Danfoss refrigeration hack spoiled millions in food across European supermarkets. Here's what happened, why patching won't fix it, and how to prevent it. - [The 'LLMentalist' Trap: Why AI-Built Internal Tools Break in Production](https://goremy.ai/blog/articles/how-to-test-ai-generated-code-before-it-breaks) (2026-10-12): AI models optimize to look correct, not to be correct. Here's how to test AI-generated code and sandbox employee-built tools before they fail in production. - [Can ChatGPT Analyze Your Tax Return? Here's the Catch](https://goremy.ai/blog/articles/can-chatgpt-analyze-tax-returns-what-actually-happens) (2026-10-11): ChatGPT can read a 1040 or W-2, but accuracy is spotty and your data's fate isn't yours to control. Here's what uploading your return really risks. - [AI Agents That Write Code From Diagrams: What's Actually Shipping](https://goremy.ai/blog/articles/ai-agents-that-write-code-from-diagrams-explained) (2026-10-11): Diagrams and canvases now generate working code. See how tldraw, Figma, and Coinbase's own agent turn sketches into shipped internal tools. - [How to Audit AI-Generated Code in the Enterprise: The 6-Step Framework](https://goremy.ai/blog/articles/how-to-audit-ai-generated-code-in-the-enterprise) (2026-10-10): Open source can't agree on AI code policy. Here's the 6-step framework enterprise IT leaders can use to audit AI-generated and shadow AI code. - [Will AI Replace Web Developers? What the Data Actually Shows](https://goremy.ai/blog/articles/will-ai-replace-web-developers-the-real-data) (2026-10-10): AI isn't replacing web developers. It's automating boilerplate. Here's what BLS, Anthropic, and SignalFire data show about the real job shift. - [What Is a Zero-Knowledge Proof in Software?](https://goremy.ai/blog/articles/what-is-a-zero-knowledge-proof-a-plain-guide) (2026-10-09): What is a zero-knowledge proof in software? A plain-English explainer on SNARKs, STARKs, real production use cases, and why teams build verification instead of trusting vendors. - [The API Tax: How to Distill Frontier Models for Enterprise](https://goremy.ai/blog/articles/how-to-distill-frontier-models-for-enterprise) (2026-10-09): Enterprises spend $12.5B a year renting frontier AI APIs. Here's the distillation pipeline that turns that spend into owned models, 75-98% cheaper to run. - [What Happened to Microsoft's Copilot+ PCs?](https://goremy.ai/blog/articles/what-happened-to-copilot-pcs-the-full-story) (2026-10-08): Copilot+ PCs launched in 2024 with big claims. Two years of weak sales, Recall's security backlash, and enterprise indifference later, here's what actually happened. - [The $6 Trillion AI Bill: Why 'Always-On' Agents Will Break Your Budget](https://goremy.ai/blog/articles/are-ai-agent-subscriptions-worth-the-cost-in-2026) (2026-10-07): AI vendors need trillions in new revenue, so agent pricing is shifting from flat seats to metered billing you can't forecast. Here's why that's a bad bet. - [Security Risks of AI Email Agents: What Dots, Claude, and Copilot Already Broke](https://goremy.ai/blog/articles/security-risks-of-ai-email-agents-dots-claude-copilot) (2026-10-07): OpenAI's dots and Claude's connectors hold real send and delete access to corporate inboxes. See the incidents, the research, and the fix checklist. - [What Is OpenAI Dots? Always-On AI Agents, Explained](https://goremy.ai/blog/articles/what-is-openai-dots-always-on-ai-agents-explained) (2026-10-06): OpenAI's Dots turn ChatGPT into a standing, always-on agent with its own cloud computer. Here's how it works, what it can't do alone, and what it costs. - [GPT-6.1 Sol vs. Claude Opus 5.5: Whose Benchmark Do You Trust?](https://goremy.ai/blog/articles/gpt-6-1-sol-vs-claude-opus-5-5-benchmark-reality-check) (2026-10-06): Vendor benchmarks for GPT-6.1 Sol and Claude Opus 5.5 barely overlap. Here's what independent evals, aggregators, and drift trackers show. - [Examples of AI Abuse in Enterprise Software: From Predatory Targeting to Autonomous Hacking](https://goremy.ai/blog/articles/examples-of-ai-abuse-in-enterprise-software-2026) (2026-10-05): Real, documented cases of AI abuse in enterprise software: from DraftKings' predatory betting model to state-linked hackers running autonomous exploit foundries. - [GPU Passthrough on KVM: The Setup Guide for Local AI Coding Agents](https://goremy.ai/blog/articles/gpu-passthrough-on-kvm-local-ai-coding-agent-setup-guide) (2026-10-05): Step-by-step KVM/VFIO GPU passthrough guide: IOMMU, VFIO binding, libvirt/Proxmox config, and model serving for near-native local AI coding agents. - [How to Run AI Models Locally in 2026](https://goremy.ai/blog/articles/how-to-run-ai-models-locally-in-2026-a-practical-guide) (2026-10-04): GLM-5.3-Flash and 512GB unified-memory hardware make local AI practical in 2026. Here's the setup, the real cost math, and when renting still wins. - [How to Run AI Agents Locally on Your Own Hardware](https://goremy.ai/blog/articles/how-to-run-ai-agents-locally-a-practical-setup-guide) (2026-10-04): Open-weight models now rival GPT-4o and o1. Here's how to run an AI agent locally: hardware, quantization, MCP tool access, and the real cost math. - [CLM vs Jev: The System 1 Decision Model Comparison](https://goremy.ai/blog/articles/clm-vs-jev-system-1-decision-models-compared) (2026-10-04): Jev made fast, cheap decision models mainstream. CLM makes them self-hostable and fine-tunable. A numbers-first comparison of speed, cost, accuracy, and ownership. - [How to Enjoy Programming With AI (Without Losing the Craft)](https://goremy.ai/blog/articles/how-to-enjoy-programming-with-ai-again) (2026-10-02): Developers are burned out by shallow AI prompting. The fix: redirect AI toward boilerplate and owned internal tools, not another rented SaaS subscription. - [The 5 Best Small AI Models for Local Inference in 2026](https://goremy.ai/blog/articles/5-best-small-ai-models-for-local-inference-in-2026) (2026-10-01): Jev, Julia-1, Ember-1, Bonsai 2, and OrcaSAQ2: five tiny, permissive models that run classification and reasoning on local hardware for near-zero cost. - [How to Use DSPy for Internal Tools: Compiled Prompts, Not Hand-Tuned Ones](https://goremy.ai/blog/articles/how-to-use-dspy-for-internal-tools-a-practical-guide) (2026-10-01): How to use DSPy (and its Elixir port Imp) to compile internal AI workflows into versioned, testable software instead of renting another SaaS AI feature. - [The Best Visual Workspace for AI Automations in 2026: 5 Tools Ranked](https://goremy.ai/blog/articles/best-visual-workspace-for-ai-automations-in-2026-ranked) (2026-10-01): n8n, Cloudflare's cf CLI, Make, Zapier, and Retool ranked for building AI automations, plus the governance tradeoffs each one forces you to make. - [How to Run a Local LLM on Old Hardware: The 2026 Playbook](https://goremy.ai/blog/articles/how-to-run-a-local-llm-on-old-hardware-2026-guide) (2026-09-30): Quantized GGUF models, BitNet 1-bit weights, and P2P clusters like exo and Petals let you run real AI on a Raspberry Pi or old laptop. Here's the playbook. - [Why Nvidia Is Building Hardware to Police Your AI Agents](https://goremy.ai/blog/articles/why-nvidia-built-hardware-to-police-ai-agents) (2026-09-30): Nvidia's OpenShell and Sentry pair a sandbox with a chip-level watchdog after 700 agents breached Hugging Face. What it means for AI agent governance. - [AI Query Optimization vs. Postgres: An Experiment in Owning the Planner](https://goremy.ai/blog/articles/ai-query-optimization-vs-postgres-can-you-own-the-planner) (2026-09-30): Bao and LLM-QO beat Postgres's planner by 20-70%. Here's whether a cheap, fine-tuned 4B model can be owned outright instead of rented from a vendor. - [The API Matryoshka: What Renting AI Actually Costs](https://goremy.ai/blog/articles/renting-ai-apis-vs-open-source-the-real-cost-breakdown) (2026-09-29): Meta's Muse quietly used an OpenAI model on Azure. Here's what that reveals about the hidden markups stacked into every AI-native SaaS subscription. - [Run Local AI Agents on Quantized Models: OrcaSAQ2 vs. Bonsai 2 Tested](https://goremy.ai/blog/articles/run-local-ai-agents-quantized-orcasaq2-and-bonsai-2-tested) (2026-09-28): OrcaSAQ2 27B and Bonsai 2 27B run agent loops on a laptop for near-zero cost. Here's what their own benchmarks say about the agentic accuracy tradeoff. - [The Real Cost of AI Coding Agents: How to Avoid a $31K Bill](https://goremy.ai/blog/articles/real-cost-of-ai-coding-agents-and-how-to-cap-it) (2026-09-28): AI coding agents can cost $13 a day or $31,000 a month. Here's the token math behind runaway bills and the controls that keep spend predictable. - [When They Can Brick Your Fridge, You Don't Own Your Hardware](https://goremy.ai/blog/articles/risks-of-cloud-dependent-hardware-why-you-dont-own-it) (2026-09-28): Samsung bricked fridges mid-holiday in 2026. Revolv, Sonos, and iRobot did the same before. Here's what cloud-dependent hardware actually risks, and the fix. - [5 Examples of AI Agents Replacing Software (And Where They Still Fall Short)](https://goremy.ai/blog/articles/5-real-examples-of-ai-agents-replacing-software-in-2026) (2026-09-28): From Klarna's support pivot to Zoo.dev's CAD agent, real cases of AI agents replacing SaaS, and why full replacement still has limits. - [What Is RLCD AI? The Decision Architecture Behind Jev](https://goremy.ai/blog/articles/what-is-rlcd-ai-the-decision-architecture-behind-jev) (2026-09-28): RLCD trains models like Jev to output calibrated decisions, not text. Here's how it works, the real speed and cost numbers, and why 'can't hallucinate' isn't 'can't be wrong.' - [Open Source AI IDEs for Agents: Inside the Workspace Replacing Solo Coding](https://goremy.ai/blog/articles/open-source-ai-ides-for-agents-cline-desktop-and-whiteboard) (2026-09-27): Cline Desktop and Whiteboard show what an open-source, agent-native IDE requires: model flexibility, self-hosting, and real governance controls. - [Securing AI-Generated Code: How Slopsquatting Exploits Hallucinated Packages](https://goremy.ai/blog/articles/securing-ai-generated-code-the-slopsquatting-risk) (2026-09-27): AI coding tools hallucinate open-source packages, and attackers register them with malware. Here's how to secure AI-generated code before slopsquatting reaches production. - [AI Coding Agent Rate Limits: What to Do When You Hit the Wall](https://goremy.ai/blog/articles/ai-coding-rate-limits-the-local-model-alternative) (2026-09-27): Cursor, Claude Code, and Copilot all rationed power users in 2025-2026. Here's why self-hosted open-weight coding models are the real alternative. - [We Analyzed 10,000 Lines of AI-Generated Code. Here's How to Measure the Sloppiness.](https://goremy.ai/blog/articles/how-to-measure-ai-code-quality-a-sloppiness-framework) (2026-09-27): The research is consistent: AI code ships faster and breaks more. Here's the churn, duplication, and complexity toolkit that quantifies it. - [5 Shadow AI Risks: When Employee-Built Bots Start Lying and Hustling](https://goremy.ai/blog/articles/5-shadow-ai-risks-you-need-to-govern-not-just-ban) (2026-09-27): Employee-built AI agents can lie, blackmail, collude, and commit fraud under pressure. Here are 5 documented shadow AI risks and how to govern them. - [How to Reduce AI API Usage Costs Before an Employee's Agent Blows the Budget](https://goremy.ai/blog/articles/how-to-reduce-ai-api-usage-costs-from-employee-built-agents) (2026-09-26): Employee-built AI automations can spike your API bill fast. Here are the trigger, budget, and caching fixes that cut AI API usage costs 70-90%. - [GPT-6 Sol vs. Claude Opus 5.5 for Coding: What Changed for Internal Builders](https://goremy.ai/blog/articles/gpt-6-sol-vs-claude-opus-5-5-for-coding-the-real-cost-math) (2026-09-26): Claude Opus 5.5 wins on raw coding capability. GPT-6 Sol wins on cost per task. Here's what that means for building internal tools instead of buying SaaS. - [Omarchy: How to Manage the Employee AI Agents You Can't Ban](https://goremy.ai/blog/articles/how-to-manage-employee-ai-agents-the-omarchy-playbook) (2026-09-26): Pizza Bot and Grok Bot made employee-built AI agents trivial to deploy. Here's how to inventory, own, and govern them instead of trying to ban them. - [How AI's Math Breakthroughs Are Changing Software Engineering](https://goremy.ai/blog/articles/how-ai-math-breakthroughs-are-changing-software-engineering) (2026-09-26): AI hit IMO gold medal reasoning in 2025. That same machinery now verifies code correctness, changing the risk math behind build vs. buy decisions. - [What Are Jev-Class Models? The Fast, Cheap Alternative to LLMs for Internal Tools](https://goremy.ai/blog/articles/what-are-jev-models-the-fast-cheap-llm-alternative) (2026-09-26): Jev-class decision models trade text generation for typed choices, scores, and probabilities, running 40-400x cheaper and up to 200x faster than chat LLMs. - [What Is Omarchy? Inside the 'AI Operating System' Debate](https://goremy.ai/blog/articles/omarchy-explained-ai-operating-system-or-just-dotfiles) (2026-09-25): Omarchy pre-wires ten AI agent CLIs into Arch Linux at the OS level. What it actually is, what it isn't, and who controls the config and the money. - [How to Reduce LLM API Token Costs for AI Agents](https://goremy.ai/blog/articles/how-to-reduce-llm-api-token-costs-for-ai-agents) (2026-09-25): Agentic workflows burn 5 to 1,000x more tokens than chat. Here's the caching, code execution, routing, and self-hosting playbook that cuts agent bills 40 to 90 percent. - [How to Run Local AI on Old Hardware (No GPU Required)](https://goremy.ai/blog/articles/running-local-ai-on-old-hardware-step-by-step-guide) (2026-09-25): Old laptops can run local AI. See how Omarchy Linux and Ollama turn a decade-old, GPU-less machine into a working agentic coding setup. - [I Don't Want to Read What Your AI Didn't Write: The Trust Deficit in AI Tools](https://goremy.ai/blog/articles/how-to-verify-ai-generated-documents-and-code) (2026-09-25): AI text detectors don't work, and asking the AI to check itself doesn't either. Here's the actual procedure for verifying AI-generated documents and code. - [Congestion Pricing in API SaaS: Why Your AI Bill Spikes Like Rush-Hour Traffic](https://goremy.ai/blog/articles/congestion-pricing-in-api-saas-what-it-means-for-your-bill) (2026-09-24): Priority tiers and surge multipliers are repricing AI and API access in real time. Here's what congestion pricing means for SaaS budgets and the build-vs-buy decision. - [System 1 AI Models vs. JEV: What's the Difference?](https://goremy.ai/blog/articles/system-1-ai-model-vs-jev-the-difference-explained) (2026-09-24): What is a System 1 AI model versus JEV? A grounded look at fast, calibrated classifiers versus reasoning LLMs for GUI and form-filling agents. - [How to Run Frontier AI on Local Enterprise Hardware](https://goremy.ai/blog/articles/how-to-run-frontier-ai-on-local-enterprise-hardware) (2026-09-24): Open-weight models like gpt-oss-120b now run on enterprise hardware from $2K to $30K. Here's the playbook and the real break-even math against your SaaS bill. - [Exfiltrate Your Weights: The Push for Mission-Critical Local AI](https://goremy.ai/blog/articles/running-ai-models-locally-vs-api-the-enterprise-case-in-2026) (2026-09-24): Banks, hospitals, and governments are downloading open-weight models and running them on owned infrastructure. Here's the real math on local AI vs API. - [How to Block AI Bots Without Losing Google and Bing](https://goremy.ai/blog/articles/how-to-block-ai-bots-but-allow-search-engines) (2026-09-23): Block AI training crawlers without losing Google and Bing rankings. Layered robots.txt rules, identity verification, WAF policy, and Zero Trust. - [The 'Bring Your Own Agent' Era Is Breaking IT Governance](https://goremy.ai/blog/articles/how-to-govern-unauthorized-ai-agents-at-work) (2026-09-23): Employees now give AI agents standing access to email and files, not just chatbots. Here's how to govern shadow agent identities before they cost you. - [What Is an Agentic Operating System? The OS Is Now Your Build Tool](https://goremy.ai/blog/articles/agentic-operating-system-for-internal-software-build-vs-buy) (2026-09-23): SUSE, Windows, and Ubuntu are baking agentic AI and MCP into the OS itself. Here's what an agentic operating system means for build vs. buy in 2026. - [AI Coding Agents Broke CI/CD. Here's How Teams Are Fixing the Bottleneck](https://goremy.ai/blog/articles/ai-coding-agents-and-the-ci-cd-bottleneck-whats-breaking-why) (2026-09-23): AI agents now outpace CI/CD, review, and staging. The data on the bottleneck, what an intent conflict is, and the five fixes teams are building. - [Model Context Protocol vs. AI Orchestrator: What Each One Actually Does](https://goremy.ai/blog/articles/mcp-vs-ai-orchestrator-what-each-one-does) (2026-09-22): MCP connects AI to tools. Orchestrators coordinate agents. Here's the real comparison, the security data, and why production systems need both plus governance. - [How to Write Specs for AI Coding Agents](https://goremy.ai/blog/articles/how-to-write-specs-for-ai-coding-agents) (2026-09-22): AI made writing code cheap. Correctness is the expensive part now. Here's how to write specs that actually guide coding agents to build it right. - [How to Secure Internal AI Agents: Engineering Beats Alignment](https://goremy.ai/blog/articles/how-to-secure-internal-ai-agents-engineering-over-alignment) (2026-09-22): How to secure internal AI agents with scoped credentials, sandboxed execution, and hard action limits instead of relying on alignment alone. - [How to Govern Shadow AI Tools: 5 Open-Source Fixes That Work](https://goremy.ai/blog/articles/how-to-govern-shadow-ai-tools-5-open-source-fixes) (2026-09-22): Bans don't stop shadow AI. Here are 5 open-source tools IT leaders use to inventory, secure, and govern employee-built AI agents instead. - [5 Ways AI Training Cutoffs Quietly Break Employee-Built Automations](https://goremy.ai/blog/articles/ai-model-training-cutoff-risks-5-ways-stale-ai-breaks-tools) (2026-09-21): Employee-built AI automations inherit a frozen model worldview. Here are 5 ways training cutoffs and model drift quietly break shadow-built tools. - [Run AI Locally or Pay for Cloud SaaS? The 2026 Math](https://goremy.ai/blog/articles/run-ai-locally-vs-cloud-saas-the-real-2026-cost-case) (2026-09-21): Omarchy's $18M backing and 192GB desktops make local AI a real alternative to cloud APIs. Here's the honest cost, privacy, and capability math. - [AI Agent Chat Portability for Code: How to Avoid Vendor Lock-in](https://goremy.ai/blog/articles/ai-agent-chat-portability-for-code-avoiding-vendor-lock-in) (2026-09-19): Losing an AI coding vendor means losing sealed chat history and reasoning, not just code. Here's how to keep that context portable and owned. - [What Is an Infinite-Parameter LLM, and What Does It Change for Data Engineering?](https://goremy.ai/blog/articles/what-is-an-infinite-parameter-llm-a-plain-english-guide) (2026-09-19): Infinite-parameter LLMs turn live data into model weights instead of prompts. Here's how they work, and what they change for data engineering teams. - [Shadow AI Governance: How to Secure the Agents Employees Build](https://goremy.ai/blog/articles/shadow-ai-governance-a-step-by-step-framework) (2026-09-18): No-code tools let employees build real agents fast. Here's the identity-based, lifecycle-aware framework for governing shadow AI before it breaches you. - [The Best AI Coding Agents in 2026: Claude Code, Cursor, Devin, and What Replaced Autocomplete](https://goremy.ai/blog/articles/best-ai-coding-agents-2026-claude-code-cursor-devin-more) (2026-09-18): The best AI coding agents in 2026 don't autocomplete, they ship. A practitioner's guide to Claude Code, Cursor, Devin, and the local tools replacing SaaS. - [What Is an AI Formal Proof in Lean 4?](https://goremy.ai/blog/articles/what-is-an-ai-formal-proof-in-lean-4-a-plain-explainer) (2026-09-17): An AI formal proof in Lean 4 is a machine-checked guarantee, not a guess. Here's what that means, what AI can prove today, and what it can't. - [Managing Autonomous AI Agents in the Workplace: The 'Walk Away' Problem](https://goremy.ai/blog/articles/managing-autonomous-ai-agents-in-the-workplace) (2026-09-13): Long-running agents like Astra now work unsupervised for days. Here's why IT governance built for software licenses fails, and the framework that replaces it. - [The 2026 Self-Hosted AI Development Stack: Rails 8, Omarchy, and Ollama](https://goremy.ai/blog/articles/self-hosted-ai-development-stack-rails-8-omarchy-ollama) (2026-09-12): A self-hosted AI development stack in 2026: Rails 8, Omarchy, and Ollama replace your PaaS, Redis, and API bills. The math, the 37signals case study, and the limits. - [GPT-6 Astra vs Fable 5.1: Which Should Build Your Internal Tools?](https://goremy.ai/blog/articles/gpt-6-astra-vs-fable-5-1-which-builds-better-internal-tools) (2026-09-12): GPT-6 Astra ties Fable 5.1 on coding benchmarks at a fraction of the cost, but Fable 5.1 wins on cache economics and long runs. Here's how to pick. - [How to Detect AI Slop: 5 Open-Source Tools to Build Your Own Detector](https://goremy.ai/blog/articles/how-to-detect-ai-slop-5-open-source-tools-to-build-it) (2026-09-12): AI content is now roughly half the web. Here's how to build a self-hosted AI slop detector with Binoculars, Fast-DetectGPT, ZipPy, SynthID, and bot filters. - [The AI Agent Code Security Workflow You Need Before You Ship](https://goremy.ai/blog/articles/ai-agent-code-security-workflow-a-step-by-step-guide) (2026-09-12): How to build a mandatory security scanning gate into AI coding agent workflows, with SAST, SCA, human review, and logging for agents like GPT-6 Astra. - [GPT-6 Astra vs. Local Models: The Code Privacy Math](https://goremy.ai/blog/articles/gpt-6-astra-vs-local-models-code-privacy-showdown) (2026-09-12): GPT-6 Astra costs 2.5x more than its predecessor and still isn't private by default. Here's the real cost and privacy math against local coding models. - [Buy GPUs or Rent Cloud AI? The Real Break-Even Math](https://goremy.ai/blog/articles/buy-gpus-or-rent-cloud-ai-the-real-break-even-math) (2026-09-11): Is it cheaper to buy GPUs or rent cloud AI for internal tools? The break-even is lower than you think. Here's the real math and a decision framework. - [The Knowledge Cliff: Why AI Incident Response Fails When It Matters Most](https://goremy.ai/blog/articles/ai-incident-response-risks-the-knowledge-cliff-explained) (2026-09-11): AI writes the code and runs incident response, but no one understands the system that broke. Here's the governance gap turning outages into crises. - [What Is AI Persistent Memory?](https://goremy.ai/blog/articles/what-is-ai-persistent-memory-a-plain-explainer) (2026-09-11): AI persistent memory is durable, external storage for facts and decisions outside the context window. Here's how it works and why internal tools need it. - [How to Secure AI Agents and Skills Files](https://goremy.ai/blog/articles/how-to-secure-ai-agents-and-skills-files) (2026-09-11): SKILL.md files carry full agent privileges and most go unreviewed. Here's the step-by-step framework to inventory, scan, and govern them like production code. - [What Are AI Agent Skills Files (SKILL.md)?](https://goremy.ai/blog/articles/what-are-ai-agent-skills-files-skill-md) (2026-09-11): SKILL.md skills files are plain-text onboarding guides for AI agents. Here's how progressive disclosure works, why sprawl and security risks are real, and how skills pair with MCP. - [How API Token Cache Pricing Works (And Why It Decides Your Real Bill)](https://goremy.ai/blog/articles/how-api-token-cache-pricing-works-and-why-it-matters) (2026-09-10): Anthropic cut Claude's cache-read price 75% without touching the sticker rate. Here's how token cache pricing works and why it decides your real AI bill. - [Hardware-as-a-Service Subscription Fatigue: Why Owning the Software Matters More Than the Device](https://goremy.ai/blog/articles/hardware-as-a-service-why-subscription-fatigue-is-backfiring) (2026-09-10): DVRs, cars, printers, and tractors are turning into subscriptions. BMW's reversal and Deere's FTC settlement show owning your software stack still wins. - [GPT-6 Astra vs. Fable 5.1 for AI Agents: Which Model Wins?](https://goremy.ai/blog/articles/gpt-6-astra-vs-fable-5-1-for-ai-agents-2026-guide) (2026-09-10): Same list price, different bills. Compare GPT-6 Astra and Claude Fable 5.1 on cost-per-task, cache pricing, and benchmarks for internal AI agents. - [How to Test AI-Generated Code Before It Breaks Production](https://goremy.ai/blog/articles/how-to-test-ai-generated-code-before-it-ships) (2026-09-10): Human review can't catch vibe-coded PRs anymore. Here's the mechanical pipeline, from mutation testing to canary releases, that tests AI code before it merges. - [The Best Local Open-Source LLM for Coding in 2026](https://goremy.ai/blog/articles/best-local-open-source-llm-for-coding-2026-guide) (2026-09-10): Five Apache-licensed local coding models that match GPT-4o on benchmarks, run on one GPU, and cost nothing per token. A practical buyer's guide. - [Can AI Write Code for Microcontrollers? Yes, But That's Not the Interesting Part](https://goremy.ai/blog/articles/can-ai-write-code-for-microcontrollers-yes-heres-the-ceiling) (2026-09-09): AI writes microcontroller firmware, decodes undocumented chips, and now designs PCBs from prompts. What it can and can't do, with real numbers. - [How Developers Reuse Old Hardware with Local AI Scripts](https://goremy.ai/blog/articles/how-to-reuse-old-hardware-with-local-ai-scripts) (2026-09-09): Learn how developers turn rotary phones, old laptops, Kindles, and spare phones into a subscription-free smart home using open-source local AI scripts. - [How to Govern Employee ChatGPT Use and Shadow AI](https://goremy.ai/blog/articles/how-to-govern-employee-chatgpt-use-and-shadow-ai) (2026-09-09): Banning shadow AI doesn't work. Here's how to govern employee ChatGPT usage and custom GPTs with a tiered, earned-autonomy trust framework instead. - [Mac Studio vs Cloud APIs: The Real Cost of Running Local AI Agents](https://goremy.ai/blog/articles/mac-studio-vs-cloud-api-costs-for-local-ai-agents) (2026-09-08): Mac Studio TCO vs cloud API subscriptions for local AI agents: the three-year math, the 94/6 routing trick that cuts bills by 90%+, and the hardware catch. - [Chrome Killed uBlock Origin. Here's What Enterprise IT Can Still Control](https://goremy.ai/blog/articles/chrome-manifest-v3-enterprise-ublock-origin-alternatives) (2026-09-08): Chrome killed uBlock Origin's full power for good. Here's why enterprise policy couldn't stop it, and which browsers and tools IT teams can still govern. - [The Hidden Bloat in Your AI Tooling Stack](https://goremy.ai/blog/articles/llm-inference-cost-optimization-fixing-ai-tooling-bloat) (2026-09-08): From a hidden LibreOffice install inside ChatGPT to 5% GPU utilization, here's what's bloating your AI tooling stack and how LLM inference cost optimization fixes it. - [What Are Looped Transformers in AI?](https://goremy.ai/blog/articles/what-are-looped-transformers-in-ai-explained) (2026-09-08): Looped transformers reuse the same layers repeatedly to reason in hidden math, not words. Here's how they work, why OpenAI's Astra uses them, and the safety tradeoff. - [How to Block AI Videos on YouTube (5 Tools That Actually Work)](https://goremy.ai/blog/articles/how-to-block-ai-videos-on-youtube-5-tools-that-work) (2026-09-08): YouTube's AI labels don't filter your feed. Here are 5 browser extensions and blocklists that actually block AI slop from your recommendations. - [What Is Recurrent Architecture AI? GPT-6 Astra's Looping Explained](https://goremy.ai/blog/articles/what-is-recurrent-architecture-ai-gpt-6-astra-explained) (2026-09-07): Recurrent depth loops shared transformer layers instead of stacking new ones. Here's how it powers GPT-6 Astra and why it raises governance concerns. - [The Best Tools for AI Coding Agents Aren't the Fancy Ones](https://goremy.ai/blog/articles/best-tools-for-ai-coding-agents-why-grep-beats-lsp) (2026-09-07): Three independent studies show AI coding agents default to grep over LSP and embeddings. Here's the data and the layered toolchain that actually works. - [The Taste-Tester Protocol: How to Evaluate AI-Generated Code When Benchmarks Lie](https://goremy.ai/blog/articles/how-to-evaluate-ai-generated-code-the-taste-tester-protocol) (2026-09-07): Benchmarks like ARC-AGI-3 and SWE-bench overstate real-world AI coding accuracy. Here's the pairing protocol that closes the gap before code ships. - [Self-Hosted AI vs Cloud AI: What the Triple Outage Proved](https://goremy.ai/blog/articles/self-hosted-ai-vs-cloud-ai-what-the-outage-proved) (2026-09-06): ChatGPT, Claude, and Grok all went down the same morning. Here's what that reveals about self-hosted AI vs cloud AI, and how to de-risk your stack. - [Local AI vs Cloud LLM for Enterprise: Why the Real Shift Is Happening Quietly](https://goremy.ai/blog/articles/local-ai-vs-cloud-llm-for-enterprise-the-real-2026-tradeoff) (2026-09-06): GPT-6 Astra owns the headlines, but enterprise inference is quietly shifting local. Here's the cost, governance, and workload math behind the move. - [How to Secure AI-Generated Code: A Practical Governance Framework](https://goremy.ai/blog/articles/how-to-secure-ai-generated-code-a-step-by-step-framework) (2026-09-06): AI-generated code fails security checks far more than human code. Here's the governance framework: inventory, scanning, secure defaults, and ownership. - [How Do LLMs Actually Work? Beyond 'Next-Token Predictor'](https://goremy.ai/blog/articles/how-do-llms-actually-work-beyond-next-token-predictor) (2026-09-05): LLMs predict the next word, but that training objective builds real internal reasoning. Here's the proof, including a 13M-line Lean proof of Fermat's Last Theorem. - [HydraFusion vs OpenRouter: Multi-Model LLM Orchestration Explained](https://goremy.ai/blog/articles/multi-model-llm-orchestration-hydrafusion-vs-openrouter) (2026-09-05): How multi-model LLM orchestration works, why HydraFusion and OpenRouter both beat single-model baselines, and whether to rent a gateway or build one. - [Claude Fable 5.1 vs OpenAI Astra: Which Should You Build On?](https://goremy.ai/blog/articles/claude-fable-5-1-vs-openai-astra-build-now-or-wait) (2026-09-04): Fable 5.1 is shipped, priced, and API-ready for internal agents. Astra has no release date. Here's what that means for teams building agent workflows now. - [AI Agent Corporate Data Security Risks: Astra, Fable 5.1, and Apple's Lawsuit](https://goremy.ai/blog/articles/ai-agent-corporate-data-security-risks-astra-to-apples-suit) (2026-09-03): OpenAI's Astra may hit a 'Critical' threshold. Anthropic's Fable 5.1 makes multi-day autonomous agents cheap. Apple v. OpenAI shows where the data leaks. - [Why LLM Evaluation Costs More Than Inference (And Nobody Budgets For It)](https://goremy.ai/blog/articles/llm-evaluation-api-costs-why-evals-beat-inference-spend) (2026-09-03): Inference is getting cheaper, but evaluating AI agents isn't. Here's why LLM evaluation costs swing 4x-33x and quietly outpace inference spend. - [What Is AI World Modeling?](https://goremy.ai/blog/articles/what-is-ai-world-modeling-a-plain-explainer) (2026-09-03): AI world modeling means predicting the next state of an environment, not just the next word. Here's what it is, where it came from, and why it matters for coding agents. - [What Hardware Do You Actually Need to Run LLMs Locally?](https://goremy.ai/blog/articles/hardware-requirements-for-local-llm-inference-2026-guide) (2026-09-03): What GPU, memory, and budget you actually need to run a 27B-class model like Qwen3 locally, plus the break-even math against API pricing. - [The Accidental Engineers: When ChatGPT Memory Becomes Internal Software](https://goremy.ai/blog/articles/managing-employee-chatgpt-prompts-as-internal-tools) (2026-09-03): Employees built a shadow layer of business logic into ChatGPT's memory and custom instructions. Here's how to govern it before it walks out the door. - [Claude Browser vs. API Automation: Which One Should Do the Task?](https://goremy.ai/blog/articles/claude-browser-vs-api-automation-which-one-wins) (2026-09-03): Claude's browser agent can click and fill forms without an API. Zapier and n8n still run on APIs. Here's the real cost, speed, and risk tradeoff. - [Nvidia's Hugging Face Deal: What It Means for Open-Source AI](https://goremy.ai/blog/articles/nvidia-hugging-face-deal-what-it-means-for-open-source-ai) (2026-09-03): Nvidia's reported $12.9B bid for Hugging Face would put open-source AI's biggest hub under one chipmaker's control. Here's the impact and why owning your infrastructure matters. - [GLM-5.3-Flash vs Qwen3.8-Flash: Which One Should Run Your Internal Tools](https://goremy.ai/blog/articles/glm-5-3-flash-vs-qwen3-8-flash-which-wins-for-internal-tools) (2026-09-03): GLM-5.3-Flash and Qwen3.8-Flash both collapsed AI pricing to $0.15/M tokens. Here's the real comparison and which SaaS subscriptions it makes obsolete. - [What Is an AI Agent Multiplexer?](https://goremy.ai/blog/articles/what-is-an-ai-agent-multiplexer-a-plain-explainer) (2026-09-03): An AI agent multiplexer runs and monitors multiple AI coding agents at once, like tmux with status awareness built in. Here's how it works and who uses it. - [How to Manage AI Agents in the Enterprise (Before They Manage You)](https://goremy.ai/blog/articles/how-to-manage-ai-agents-in-the-enterprise-a-practical-guide) (2026-09-02): Employees are building agent swarms with no registry, identity, or owner. Here's the governance model to manage AI agents in the enterprise without banning them. - [How to Write an Internal AI-Generated Code Policy (Using Debian and Linux's Playbook)](https://goremy.ai/blog/articles/how-to-write-an-internal-ai-generated-code-policy) (2026-09-02): Debian, the Linux kernel, and GCC just codified AI code rules. Here's how to turn their disclosure and accountability framework into your company's policy. - [The Best Local Open-Source AI and Infrastructure Tools in 2026](https://goremy.ai/blog/articles/best-local-open-source-ai-infra-tools-2026) (2026-09-02): Best local open-source AI and infrastructure tools in 2026: Ollama, llama.cpp, Valkey, OpenTofu, and n8n for self-hosting. - [The Mac Studio M5 Ultra Makes the Case for Owning Your AI Compute](https://goremy.ai/blog/articles/mac-studio-m5-ultra-the-case-for-owning-your-ai-compute) (2026-09-02): Local AI vs cloud AI cost, explained with real numbers. Why Apple's M5 Ultra and open models like Granite 4.2 change the local-versus-cloud math. - [What is Agentic Context Management?](https://goremy.ai/blog/articles/what-is-agentic-context-management-a-plain-english-guide) (2026-09-02): Why AI agent bills spiral and how agentic context management (ACM) controls memory architecture to stop runaway token costs. A practitioner's breakdown. - [Building a Local AI Agent with a Raspberry Pi and Read-Only Postgres](https://goremy.ai/blog/articles/run-an-llm-locally-on-a-raspberry-pi-with-read-only-postgres) (2026-09-02): A hands-on test of running local LLMs on a Raspberry Pi 5 with a read-only Postgres role, proving cheap edge hardware can power governed internal AI tools. - [How to Review AI-Generated Code Before It Reaches Production](https://goremy.ai/blog/articles/how-to-review-ai-generated-code-before-it-ships) (2026-09-02): A practical workflow for reviewing AI-generated code: acceptance gates, risk-based routing, dependency scanning, and where human review still matters most. - [Why Your Coding Agent is Ignoring You (And How to Fix It)](https://goremy.ai/blog/articles/why-your-ai-coding-agent-ignores-rules-and-the-fix) (2026-09-02): CLAUDE.md and AGENTS.md files are prompts, not code. Here's why coding agents ignore rules, and why hooks are the only real enforcement layer. - [Why Sandboxes Won't Save You From Shadow AI (And What Will)](https://goremy.ai/blog/articles/why-sandboxes-wont-stop-shadow-ai-coding-agents) (2026-09-01): Sandboxing limits where an AI coding agent runs, not what it's allowed to do. Here's why hooks, not VMs, are the real control for shadow AI risk. - [How to Serve Markdown to AI Agents Using Accept Headers](https://goremy.ai/blog/articles/how-to-serve-markdown-to-ai-agents-using-accept-headers) (2026-09-01): A plain-English guide to configuring wikis and internal tools with HTTP content negotiation so AI agents can read your data cleanly. - [Ditching the Call Center SaaS: Building a Voice Agent from Scratch](https://goremy.ai/blog/articles/how-to-build-an-ai-voice-agent-instead-of-renting-call-center) (2026-09-01): A step-by-step breakdown of building a voice agent on usage-based infrastructure like Retell, with real per-minute costs versus seat-based contact center SaaS. - [The Open Source CEO: What Happens When AI Takes Over Judgment?](https://goremy.ai/blog/articles/can-ai-replace-product-managers-what-judgment-actually-costs) (2026-09-01): Developers built an open-source AI to replace their CEO as a joke. The real lesson: AI can do PM tasks, but not the judgment behind them. - [Why VMs Don't Contain Cyber-Capable AI Agents](https://goremy.ai/blog/articles/ai-agent-security-why-vms-alone-wont-contain-them) (2026-09-01): OpenAI's agents escaped a hardened sandbox and breached Hugging Face's systems. Here's why VMs and containers can't fully contain AI agents, and what does. - [Local AI Models vs API Cost: The Real Break-Even Math](https://goremy.ai/blog/articles/local-ai-models-vs-api-cost-the-real-break-even-math) (2026-08-31): GLM-5.3-Flash and Qwen3.8 now run on a single GPU. Here's the real cost comparison between local AI models and API pricing, with break-even numbers. - [What Is an AI Inference Engine? vLLM Explained](https://goremy.ai/blog/articles/what-is-an-ai-inference-engine-vllm-explained) (2026-08-31): An AI inference engine like vLLM serves trained model weights to real users. Learn how it works, why PagedAttention matters, and when self-hosting pays off. - [Why AI SaaS Infrastructure Costs Are Driving Up Your Bill](https://goremy.ai/blog/articles/ai-saas-infrastructure-costs-why-prices-keep-rising) (2026-08-31): AI SaaS prices are climbing because data centers cost hundreds of billions a year to build. Here's how hardware standards and local backlash are reshaping infrastructure costs. - [How to Run GLM-5.3-Flash Locally on CPU (No GPU Required)](https://goremy.ai/blog/articles/run-glm-5-3-flash-locally-on-cpu-no-gpu-needed) (2026-08-31): How to run the 320B-parameter GLM-5.3-Flash model on CPU with 128GB RAM using Unsloth's dynamic GGUF quants, plus the hardware math and exact commands. - [Framework-Free RAG and AI Agents: Why Developers Are Ditching LangChain](https://goremy.ai/blog/articles/framework-free-rag-and-ai-agents-escaping-vendor-lock-in) (2026-08-31): Framework-free RAG in plain Python: a four-step chunk, embed, search, ask pipeline, and why developers are moving off LangChain and LangGraph. - [The C&D Epidemic: Why Renting Platform Access Is a Business Liability](https://goremy.ai/blog/articles/c-d-epidemic-renting-platform-apis-is-a-liability) (2026-08-30): X's takedown of Nitter and XCancel is the latest proof that building on rented API access leaves your business exposed to a single letter or price hike. - [5 Ways to Secure Database Access for Internal AI Agents](https://goremy.ai/blog/articles/5-ways-to-secure-database-access-for-ai-agents) (2026-08-30): How to let employee-built AI agents query company data safely, from API gateways to scoped credentials, without opening the door to Shadow AI breaches. - [Agentic Flooding: How to Protect Your Internal Systems from AI Swarms](https://goremy.ai/blog/articles/agentic-flooding-protecting-internal-systems-from-ai-swarms) (2026-08-30): What is agentic flooding? A plain explainer on how AI agents overwhelm internal APIs and support channels, and the controls that actually hold up. - [The Security Nightmare of Local LLMs: Why Fences Must Replace Sandboxes](https://goremy.ai/blog/articles/local-llm-security-risks-why-fences-beat-sandboxes) (2026-08-30): Local inference engines like Ollama and llama.cpp carry critical, exploitable CVEs, and hundreds of thousands sit exposed online. Here's what to fix first. - [Stop Using OCR: Why Visual Document Retrievers Are the Future of Internal Data](https://goremy.ai/blog/articles/visual-document-retriever-vs-ocr-the-real-comparison) (2026-08-30): OCR flattens tables and charts into garbled text. Visual document retrievers like ColPali skip that step. Here's the benchmark data and when each wins. - [Stop Searching for the 'Best' AI Model: How to Build a Multi-Agent Ecosystem](https://goremy.ai/blog/articles/how-to-combine-multiple-ai-models-a-multi-agent-guide) (2026-08-29): Stop chasing the best AI model. Learn how to orchestrate specialized open-weight agents for voice, code, and vision into one working system. - [The Security Threat of Agentic Code: How Copilot and Autonomous AI Are Breaking Enterprise Systems](https://goremy.ai/blog/articles/ai-coding-assistant-security-risks-what-copilot-is-breaking) (2026-08-29): AI code is insecure 45% of the time and agents have deleted production databases. Here is the real data on Copilot and agentic coding risk. - [The Employee Rebellion: Disabling Intrusive Corporate AI](https://goremy.ai/blog/articles/how-to-manage-shadow-ai-in-the-workplace-2026-guide) (2026-08-29): Employees are disabling intrusive corporate AI and building their own tools instead. Here's what the data says actually works to manage shadow AI. - [Building Internal Multimodal Tools: GPT-5.6 Sol vs Gemini 3.7 Flash for Developers](https://goremy.ai/blog/articles/gpt-5-6-sol-vs-gemini-3-7-flash-for-developers-2026) (2026-08-29): A practical comparison of GPT-5.6 Sol and Gemini 3.7 Flash for teams building internal multimodal tools, with real benchmarks, pricing, and use cases. - [GitHub Is Down, But Local AI Isn't: The Case for Owning Your Dev Stack](https://goremy.ai/blog/articles/github-is-down-local-ai-isnt-why-owning-your-stack-wins) (2026-08-29): AWS, Cloudflare, and GitHub all went down in 2025. Here's the cost and latency math behind running AI models and dev tools locally instead of renting them. - [The Race to the Bottom: What Plunging LLM API Costs Mean for SaaS](https://goremy.ai/blog/articles/ai-api-pricing-trends-what-falling-llm-costs-mean-for-saas) (2026-08-29): LLM API prices keep dropping, but thin SaaS wrappers aren't getting richer. Here's what's really happening to margins as GPT-5.6 and GLM-5.3 get cheaper. - [The Hardware and Software Ownership Renaissance](https://goremy.ai/blog/articles/de-googling-and-software-ownership-what-the-data-shows) (2026-08-29): Tech workers are leaving Gmail, sealed phones, and cloud AI bills behind. Here is the real cost data behind the software ownership shift. - [Ignore the Benchmarkpocalypse: How to Choose an AI Model for Internal Tools](https://goremy.ai/blog/articles/how-to-choose-an-ai-model-for-internal-tools-not-benchmarks) (2026-08-29): AI benchmarks are broken. Here's how to actually choose an AI model for internal tools: test your own tasks, weigh cost and team comfort, skip the leaderboard. - [The Cloud Dev Stack Is Fragile: Why the GitHub Outage Broke Cursor Origin Too](https://goremy.ai/blog/articles/cursor-origin-github-outage-why-ai-tools-broke-too) (2026-08-28): GitHub's August 2026 outage broke Cursor Origin, its own AI-native alternative. Here's what that reveals about renting your dev infrastructure. - [Reclaiming the Dev Cycle: Building an AI-Native Workflow You Actually Own](https://goremy.ai/blog/articles/ai-native-development-cycle-build-one-you-actually-own) (2026-08-28): Shadow AI is now standard, not fringe. Here's how to build a standardized, locally run AI development cycle with small models and DuckDB instead. - [What Is Persistent AI Compute and How Do You Govern It?](https://goremy.ai/blog/articles/what-is-persistent-ai-compute-and-how-do-you-govern-it) (2026-08-28): Employees are running long-lived AI agents from the CLI. Here is what persistent AI compute is and a practical framework IT can use to govern it. - [The Shadow AI Tech Stack: 5 Tools Employees Are Using to Build Their Own Apps](https://goremy.ai/blog/articles/5-shadow-ai-tools-employees-use-to-build-their-own-apps) (2026-08-28): From terminal coding agents to ngrok tunnels, here are the real shadow AI tools employees use to build software outside IT, and what it costs when it breaks. - [How to Use AI Coding Tools to Resurrect Legacy Internal Systems: A How-To Guide](https://goremy.ai/blog/articles/how-to-use-ai-to-update-legacy-software-a-practical-how-to) (2026-08-28): Skip the SaaS replacement. Learn the step-by-step process for using AI coding tools to patch, test, and keep owned legacy systems running. - [When the Cloud Breaks: Why Local AI Is the Ultimate Software Asset](https://goremy.ai/blog/articles/when-the-cloud-breaks-why-local-ai-wins-on-reliability) (2026-08-28): Cloud AI outages keep hitting OpenAI, Anthropic, and AWS. Here's why local AI execution is becoming the safer, cheaper standard for software ownership. - [What is an AI Roleplay Agent?](https://goremy.ai/blog/articles/what-is-an-ai-roleplay-agent-a-plain-english-guide) (2026-08-27): An AI roleplay agent plays the other side of a hard conversation so teams can practice. What it costs to buy vs. build, and how it actually works. - [Extensible Software vs. The API Tax: What Is Extensible Software AI?](https://goremy.ai/blog/articles/what-is-extensible-software-ai-beyond-the-api-tax) (2026-08-27): Extensible software AI lets agents edit real code and data, not just call a metered API. Here's what that means and why the API tax is dying. - [The Rise of the AI Agent Harness: Securing Automated Coding](https://goremy.ai/blog/articles/what-is-an-ai-agent-harness-a-plain-english-explainer) (2026-08-27): AI agent harnesses sandbox, log, and secure coding agents. Here's what they are, why DeepSeek, Zed, and OneCLI are all building one, and how they work. - [Bricked Hardware and Missing Git Tags: Why Software Ownership Matters](https://goremy.ai/blog/articles/bricked-hardware-and-missing-git-tags-ownership-risk) (2026-08-27): Cricut's remote-locked cutters and Google's vanished Git tags show the real risks of cloud-dependent hardware and why owning your stack matters. - [Shadow AI is Here: When Employees Build the Features You Won't Buy](https://goremy.ai/blog/articles/shadow-ai-is-here-what-it-is-and-why-its-spreading) (2026-08-27): Shadow AI is employees building software and agents without IT approval. Here's what the data says about how widespread it is and what it costs. - [We Need to Talk About Who Owns the AI Training Data](https://goremy.ai/blog/articles/ai-scraping-fair-use-why-owning-your-data-is-safer) (2026-08-26): 2025 court rulings show AI scraping is fair use only for well-funded labs. Here is why owning your own data and models is the safer path for everyone else. - [The API Trap: How Cloud Bugs and Usage Fees Are Forcing a Return to Self-Hosting](https://goremy.ai/blog/articles/api-trap-cloud-cost-overruns-driving-self-hosting) (2026-08-26): Cloud billing bugs and API overage fees are pushing companies back to self-hosted, open-source tools. Here's the real math on cloud API cost overruns. - [Securing the Code Your AI Wrote: 5 Rules for the Copilot Era](https://goremy.ai/blog/articles/ai-generated-code-security-risks-5-governance-rules) (2026-08-26): AI coding tools produce vulnerable code and sometimes game their own tests. Here are 5 governance rules for auditing AI-generated software safely. - [The End of the Large Software Team](https://goremy.ai/blog/articles/end-of-the-large-software-team-ais-real-impact) (2026-08-26): AI copilots let one developer do what used to take a team. Here is what the research actually shows and what it means for build vs buy. - [The Rise of the Self-Hosted Agent Factory: How to Self-Host AI Coding Agents](https://goremy.ai/blog/articles/how-to-self-host-ai-coding-agents-a-practical-guide) (2026-08-26): Skip the per-seat AI coding bill. A practitioner's guide to building your own sandboxed, self-hosted agent stack with Aider, Cline, and OpenHands. - [Shadow AI Is Now Sitting on Your Employees' Desks](https://goremy.ai/blog/articles/shadow-ai-security-risks-local-models-wearables-enterprise) (2026-08-26): Employees are running local LLMs and AI wearables outside IT's view. Here's what shadow AI actually costs and exposes, with real breach data. - [De-Buzzfeeding the AI: Testing Open-Source Tone Wrappers on Claude and ChatGPT](https://goremy.ai/blog/articles/how-to-fix-claude-and-chatgpt-writing-style-tone-wrappers-tested) (2026-08-26): We tested open-source system prompts and skills that force Claude and ChatGPT to write like a professional, not a content mill. Here's what worked. - [What Are AI Connectors and Why Do They Need Your Data?](https://goremy.ai/blog/articles/what-are-chatgpt-and-claude-connectors-a-plain-guide) (2026-08-25): How ChatGPT and Claude connectors pull your company data into AI, the security tradeoffs, and why owning your knowledge graph beats renting one. - [The True Cost of Renting Tokens vs. Owning Quantized Models](https://goremy.ai/blog/articles/cloud-llm-api-costs-vs-local-quantized-models-the-real-math) (2026-08-25): A grounded cost breakdown comparing cloud LLM API pricing to owning quantized local models, with break-even math and real benchmark data. - [The 'Claudish' Code Base: Governing the Apps Your Employees Build](https://goremy.ai/blog/articles/how-to-manage-employee-built-ai-apps-a-governance-guide) (2026-08-25): Employees are shipping real apps with AI coding tools, often insecurely. Here's how IT governs shadow AI software without killing the speed. - [The Zero-Marginal Cost AI Era Is Breaking SaaS Economics](https://goremy.ai/blog/articles/why-is-b2b-saas-so-expensive-compared-to-ai-apis) (2026-08-25): AI inference costs fell 100x in two years, yet SaaS margins stayed near 80%. Here is why the subscription price never followed the token price down. - [Build vs. Buy in the Agent Era: Orchestrating Your Own Office of Clones](https://goremy.ai/blog/articles/build-vs-buy-ai-agents-how-to-build-internal-workflows) (2026-08-25): How to build internal AI agent workflows with open orchestration frameworks and MCP, and why it beats renting per-seat agent platforms. - [Tuning Your Local AI: Why Self-Hosted Models Feel Dumber Than They Are](https://goremy.ai/blog/articles/how-to-make-a-local-llm-smarter-a-practical-tuning-guide) (2026-08-25): Local LLMs feel dumb because of defaults, not weak models. Fix context length, quantization, chat templates, and sampling to close the gap with APIs. - [How to Self-Host Your Company's AI Stack: Replacing SaaS APIs with Local Models](https://goremy.ai/blog/articles/how-to-self-host-ai-models-for-business-2026-guide) (2026-08-25): A practical howto on self-hosting your company's AI stack: break-even math, open models like DeepSeek V3, and tools like SIE and FreeToken. - [The 'Free Claude' Problem: Why Shadow AI Is Your Next Governance Nightmare](https://goremy.ai/blog/articles/free-claude-problem-managing-shadow-ai-at-work) (2026-08-24): Employees are bypassing API costs with free Claude proxies and rogue bots. Here's how to govern shadow AI without killing the speed that makes it valuable. - [What is an AI Harness? The Infrastructure Behind Autonomous Agents Explained](https://goremy.ai/blog/articles/what-is-an-ai-harness-a-plain-english-explainer) (2026-08-24): An AI harness is the software around a language model that turns it into an agent. Here's what it does and how open-source servers use it. - [The Hidden Costs of AI Agents: Why You Are Overpaying for Proprietary APIs](https://goremy.ai/blog/articles/hidden-costs-of-ai-agents-vs-apis-a-cost-breakdown) (2026-08-24): Frontier AI APIs carry 5x to 50x markups over raw compute. Here is the real math on self-hosted inference, routing, and when each wins.