The intelligence of AI agents comes from the feedback loop of generate, evaluate, update, and repeat, not from a single model generation, according to an essay by Yoko Li. The loop has always existed,…
Autonomous agentic engineering tools have matured into a distinct category, with the Yegge ecosystem becoming its center of gravity: Gastown reached v1.0 with 15.9K stars and a Kilo-hosted cloud versi…
A developer known as Nokka (นก-กา) describes a 'Knowledge Stack' system that combines Obsidian, Hermes Agent, and MiniMax M3 to create a self-improving 'second brain.' The stack addresses common PKM p…
A new AI Scientist research loop, built on Karpathy's autoresearch paradigm, prevents drift in quadruped robot navigation experiments by using an immutable experiment card, specialized subagents, and …
A new reusable template, llm-wiki-memory-template, enables LLM agents to maintain persistent, interlinked wikis that preserve dead ends and walked-back claims, addressing the negative-result loss prob…
A developer's personal LLM knowledge base, mnzrBrain, gained autonomous maintenance and safety features in June 2026, adding a nervous system for automatic recall and an immune system to prevent data …
DeepSeek's Liang Wenfeng told investors that continuous learning is the missing piece on the road to AGI, arguing that today's frozen models cannot learn over time. Tolaria, an open-source knowledge b…
A new 2.07-megabyte single-file German drama corpus, tiny_schiller, provides a drop-in counterpart to Karpathy's tiny_shakespeare for small language model prototyping, fine-tuning, and education. The …
METR researchers, including Parker and Tom, coauthored a paper titled 'The Economics of Recursive Self-Improvement' with seven other economists, finding that the effect of AI on AI R&D could cause a s…
A developer has created WiFi-LLM, a system that runs a Llama-2-architecture model on an ESP32 microcontroller by streaming weights from a PC over WiFi, keeping the ESP32's RAM usage flat at around 110…
A developer introduced graphwiki, a variant of Karpathy's LLM Wiki pattern that stores the maintained knowledge layer as a property graph in Neo4j instead of markdown pages. The design uses typed rela…
A developer trained a 10.77M-parameter GPT on 4.45M characters of personal Google data from 15 years, achieving a loss of 1.60 after pretraining and supervised fine-tuning on 8,520 email reply pairs, …
Yes-Brainer, an open-source browser-based tool that orchestrates a council of multiple large language models to debate and synthesize answers to complex questions, launched at yesbrainer.ai. The zero-…
A developer ported Karpathy's nanochat to run on a TPU v6e-8 using JAX, achieving a CORE score that reproduces the original quality but with a model FLOPs utilization (MFU) of about 24%, roughly half …
A compact Karpathy-style decoder experiment comparing real, complex, and quaternion Transformer projections found that quaternion projections achieve lower validation loss through 2 million training t…
An AI developer tested Graphify, an open-source tool with 86k+ GitHub stars that converts codebases into knowledge graphs. On a 4-file project, it extracted 15 nodes, 3 communities, and 17 relationshi…
The Mechanistic Interpretability Workshop's program chairs found that AI-generated content is flooding submissions, with submissions more than doubling between each iteration from 143 in 2024 to 320 i…
For the first time in history, humans are cheaper than software, and AI is creating more jobs than it eliminates, according to a16z. The firm argues that managing AI is harder than managing people bec…
A developer outlines a learning path for moving from using AI tools to building AI-powered products, emphasizing understanding tokens, context windows, and hallucinations before coding. The path prior…
A developer building a personal knowledge base using Karpathy's LLM Wiki framework discovered that storing only declarative knowledge (facts and definitions) is insufficient for expert-level reasoning…