A developer created a low-tech pattern for providing repository context to AI coding agents using Markdown files and text search. The approach uses short index.md files in each directory for navigatio…
Wired reporter Steven Levy built a self-improving AI using tools like AutoResearch and Prime Intellect, training small language models to automate newsletter tasks. The experiment shows that recursive…
A developer traces the evolution of AI interaction design from prompt engineering (2022-2024) through context engineering (mid-2025) to loop engineering (June 2026), arguing each rename reflects a gen…
Anthropic's Claude Fable 5, its most intelligent model, is free for paid plan users until July 12, 2026. The model scores 80.3% on SWE-bench Pro and features 1M-token context with no long-context surc…
A developer argues that whether large language models reach the level of 'Fable 5' is not meaningful for most practical work, as usefulness depends on how one codes. The developer categorizes AI-assis…
Ilya Sutskever's curated list of 30 foundational machine learning papers, originally shared with game developer John Carmack in 2019, has been organized into a structured roadmap at 30papers.com. The …
Andrej Karpathy released an open-source project called LLM Council that enables multiple large language models to work together as a 'council' to answer questions. The system sends queries to several …
UN Secretary-General António Guterres opened the first Global Dialogue on AI Governance in Geneva, warning that AI deployment is outpacing governance and that humanity cannot 'vibe code' its future. H…
Marie Haynes has built a personal knowledge base using Google's Open Knowledge Format (OKF), creating a structured system of markdown files with YAML frontmatter that AI agents can read universally. H…
A comprehensive resource hub for LLM frameworks has been published, featuring 107 tools including Cognee, LangChain, CrewAI, and AutoGen, with comparisons, benchmarks, and weekly trending GitHub repos…
AI coding agents fail not because of code generation but because of incomplete specifications, as organizational knowledge is scattered across disconnected systems. The real bottleneck is the lack of …
ByteDance's Seed AI team discovered a new scaling law showing AI agents can double learning speed every three months through real-world interaction, potentially sustaining the AI boom as traditional t…
Andrej Karpathy's 'autoresearch' technique lets AI agents optimize any metric overnight by running hundreds of experiments autonomously. One engineer applied the method to file compression, beating of…
Agent loops fail in production due to state management issues in the database, not model quality, according to a CockroachDB analysis. Common failures include inconsistent state, interrupted writes, a…
AI chip startup Etched announced it has booked $1 billion in contract orders and raised $800 million to date, including a $500 million round at a $5 billion valuation, as it emerges from stealth with …
A reporter visited OpenAI, Anthropic, and Cursor in San Francisco, observing that cloud-based AI agents are becoming a major trend, with companies like Anthropic focusing on hosted services like Claud…
Engram Lab, a 13-employee AI startup, posted a satirical Initial Public Offering announcement on X, prompting a congratulatory response from the New York Stock Exchange despite no actual listing. The …
Andrej Karpathy declared prompt engineering dead in a June 25, 2025 tweet, introducing context engineering as its replacement. The shift redefines how developers interact with AI models, emphasizing s…
Andrej Karpathy's AI coding rules, The Batch's 'loop engineering' issue, and Claude Code lead Boris Cherny's flat org structure signal that the unit of AI work has shifted from prompts to self-correct…
A developer merged Andrej Karpathy's CLAUDE.md and LOOPS.md with a battle-tested system prompt used in over 100 full-stack apps, creating a 35-rule, 6-tier framework for reliable AI agent behavior. Th…