SkillOpt: Training AI Agent Skills Like Neural Networks
AI agents have a skill problem. You give a language model a system prompt — or “skill” — and it
Continue readingSkillOpt: Training AI Agent Skills Like Neural Networks
AI agents have a skill problem. You give a language model a system prompt — or “skill” — and it
Continue readingSkillOpt: Training AI Agent Skills Like Neural Networks
Editor’s note (September 12, 2026): Four months on, this piece holds up well — both studies remain the reference points
Continue readingConstraint Decay: Why Your AI Agent Forgets the Rules (and What to Do About It)
Editor’s note (September 12, 2026): This is a May 2026 snapshot of a fast-moving ecosystem, and the trajectory since only
Editor’s note, September 2026: Written at launch in May 2026, when pricing hadn’t been published — that has since changed:
Continue readingQwen3.7-Max: Built for the Agent Era, Not the Chat Era
The first version of any RAG pipeline usually looks the same: embed a query, search a vector store, stuff the
Continue readingBeyond Naive RAG: 4 Advanced Patterns That Actually Work in Production
The open-source AI landscape just had one of its most significant weeks in recent memory. DeepSeek dropped DeepSeek-V4 with a
Continue readingThis Week in AI: DeepSeek-V4, Mistral Medium 3.5, NVIDIA Nemotron, and Qwen3.6
If you want to know what the developer community is excited about right now, GitHub’s weekly trending page is always
Entering the AI space feels like learning a new language. Everyone throws around RAG, RLHF, GGUF, MoE, MCP like you’re
Continue readingThe AI Glossary: Every Term You Need to Know in 2026
Editor’s note (September 11, 2026): This post was fact-checked in September 2026: every architecture and benchmark figure below was verified
Continue readingThe Open-Weight AI Race Heats Up: DeepSeek V4, Kimi K2.6, and Qwen 3.6