How IT teams use AI, how to do it well, and what it means for your job. Written for people who keep the systems and laptops working, not people who build models.
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 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.
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.
Railway reported unauthorized access to encrypted environment variables. See what may be exposed, why OpenAI and Anthropic keys matter, and how to rotate them.
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.
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 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.
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 tiers compared: RTX 4090, RTX 5090, RTX Pro 6000 Blackwell and Mac Studio, with prices, tokens per second, and multi-agent limits.
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.
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.
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.
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.
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.
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.
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.
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.
Sam Altman says coders are busier than ever, and wants a renaissance over an industrial revolution. What it means for work, compute and inequality.
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.
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.
Steps for consumers and site owners after the PHP flaws: hardware keys, fewer accounts, patch and confirm, OAuth, and family verification phrases.
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.
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.
Parallel coding agents raise output but fragment attention. Here is why context switching drains you and how a more autonomous harness cuts the babysitting.