AI for dummies
Claude Code now reads AGENTS.md: a beginner's guide
AGENTS.md is a shared instruction file for AI coding agents. Claude Code 2.1.277 now reads it as a fallback, so one file works across every major coding tool.
#tools
10 stories tagged tools.
AI for dummies
Claude merges Cowork and chat: one interface for everything
Claude Cowork and chat merge into one interface. You no longer pick a mode first: Claude routes tasks, runs them in the background, and ships Docs and Slides.
AI for dummies
Inside OpenAI, coding agents now outwork humans 3 to 1
OpenAI now logs 3.1 agent-workdays per human workday, up from below 1.0 before June 2026, as coding agents write and run code on their own.
AI for dummies
Qwen3.8-27B on one RTX 3090 hits 2,000 tok/s prefill
Community builders pushed Qwen3.8-27B to 2,000 tok/s prefill and 132 tok/s decode on a single RTX 3090. Here is what that speed means for local AI.
AI for dummies
Mojo goes open source: what every beginner should know
Mojo open source under Apache 2.0: the AI hardware programming language from Modular is now free to use and modify. Here is what changed.
AI for dummies
Claude Code auto mode becomes default on August 14
Claude Code auto mode runs commands without per-step permission. It becomes the default August 14, 2026 for Pro, Max, and Team plans.
AI for dummies
Your AI agent guide: which AI to use for tasks in 2026
This AI agent guide maps the shift from chat to agents. ChatGPT Work and Claude Cowork now lead for real work, while Gemini has dropped off the list.
AI for dummies
How MTPLX v2 makes local AI on Mac twice as fast
MTPLX v2 uses multi-token prediction to run local AI on Apple Silicon Macs up to 2.24x faster. Here is what beginners need to know.
AI for dummies
GenieX: Qualcomm's local LLM runtime for Snapdragon laptops
Early users report 20 tokens per second on a 26B model with GenieX, Qualcomm's runtime for running LLMs locally on Snapdragon laptops.
AI
How to make an LLM escape its own prior with geometry
Novel Search Space breaks an LLM out of its prior by ranking 80,000 dictionary words by embedding distance, banning the obvious neighbours, and forcing the model to brainstorm only from a surprising-but-related band.