Updated 09/27/2026
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CUDA from zero to heroCUDA notes from GPU fundamentals to kernel optimization Opens in a new tabHow Claude.ai became 3x fasterusing Claude to measure, debug, and improve web performance Opens in a new tabRecurrent Looped Transformerrecurrent transformer loops for deeper iterative reasoning Opens in a new tabPC-ALM: local learning without backpropagationlayer local credit assignment with predictive coding and dual neurons Opens in a new tabDeepSeek V4.1 Flash architecture notesencoder-decoder design, sparse attention, Engram, mHC, native vision Opens in a new tabSpeculative decoding, from first ideas to current methodshow speculative decoding evolved and stays lossless Opens in a new tabTowards self-driving codebasesrecursive planning for coding agents at scale Opens in a new tabHow Cursor's agent harness shed its rolesfour harness designs, fewer central roles, one handoff Opens in a new tabWhy Jacob Coxon left Anthropica researcher's warning about self-improving AI Opens in a new tabSpeculative decoding study notesillustrated notes on speculative decoding Opens in a new tabGetting more out of Codexdurable threads, tools, automations, artifacts Opens in a new tabBuilding software from an iPhonecoding agents, mobile workflows, read list Opens in a new tabRL Town: agents as a tiny civilizationcoding agents, RL Town, interesting to try locally Opens in a new tabBespoke Labs on reliable agentsstartup to research Opens in a new tabA Field Guide to Fableto watch Opens in a new tabLLM-as-a-Verifierfine-grained scores, repeated evaluation, richer feedback Opens in a new tabAgent skill to exploreagent skill to explore Opens in a new tabGraph engineering with Claudebranching, parallelism, verification, convergence Opens in a new tabThe OpenAI agent incident talkincident details, emergent coordination, misalignment Opens in a new tabWhat the Hugging Face agent incident revealedmultiple runs, revoked credentials, unexpected coordination Opens in a new tabWhat is an RLM?start with the basic question Opens in a new tabChatGPT Work in 61 minutesmainstream agent workloads with the GPT Work app Opens in a new tabTraining multi-agent systems with PRIME-RLstartup idea, and I want to try this Opens in a new tabWhat to keep in AGENTS.mdagent skill and AGENTS.md patterns to explore Opens in a new tabRLMs from first principles50-minute explanation plus implementation Opens in a new tabGraph engineering for coding agentsOpenAI engineering talk on managing coding agents Opens in a new tabLearn ChatGPT Workmainstream agent workloads with the GPT Work app Opens in a new tabPrime-Agent walkthrougha compact implementation tour Opens in a new tabExtracting hidden model reasoningAPI vulnerability, hidden reasoning, thinking tokens Opens in a new tabIntro to Grok Botalways-on computer, persistent sessions, human handoff Opens in a new tabDeepSeek Harness design notesSDK harnesses, programmatic tools, cache-aware design Opens in a new tabScaling self-verificationuse an LLM as a judge so a smaller model can outperform a frontier model Opens in a new tab70 durable moatsa broader vocabulary for defensibility Opens in a new tabRebuilding Linear's delta-sync read pathdelta sync, predictable latency, turbopuffer Opens in a new tabGit at any scaleGit storage treated as database infrastructure Opens in a new tabHow Lauren ships with cloud agentspstack, background context, cloud-agent routines Opens in a new tabKarpathy on AI architecturetwo-hour overview, models, systems, architecture Opens in a new tabHumanoid components guidemotors, batteries, reducers, sensors, costs Opens in a new tabThe actuator bottleneckactuators, cost, reliability, control Opens in a new tabWhy we built our background agent Opens in a new tabSystem Design Interview, Volume 2