How engineers use AI, how to do it well, and what it means for your job. Written for people who ship and run the software, not people who build models.
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.
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 to start a one-person AI services business with Claude Code: what to build, real project earnings, the sales funnel and the offer formula.
DeepSeek-V4.1-Flash-1017 ships MIT-licensed with no Jinja template. See sampling settings, 1M context, the encoding folder and deepseek-recipe.
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.
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.
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.
Hands-on results for NVIDIA's open Nemotron 3.5 Super VL (120B, 12B active): bug fixing, vision, translation, circuits, and benchmarks.
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.
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.
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.
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.
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.
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.
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.
Compare Ling-3.0-flash-VL with Gemini for internal vision tools: benchmark scores, per-seat vs inference cost, data residency, and governance risks.
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.
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.
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.
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.
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.
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.
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.
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.