“Garry Tan says AI-powered dependency tools make library upgrades almost free, killing the “we’ll upgrade later” excuse.”

#13 𝕏 Garry Tan says AI-powered dependency tools make library upgrades almost free, killing the “we’ll upgrade later” excuse. He argues this shifts staying current from a luxury to the norm and solves tech debt as a tooling issue.

“#6 𝕏 Garry Tan – President & CEO @ycombinator argues that while most AI agent builders focus on the “prefrontal cortex” (planning and reasoning), true leverage comes from building the “cerebellum” that automates mundane, repetitive tasks.”

#6 𝕏 Garry Tan – President & CEO @ycombinator argues that while most AI agent builders focus on the “prefrontal cortex” (planning and reasoning), true leverage comes from building the “cerebellum” that automates mundane, repetitive tasks. #14 𝕏 Garry Tan – President & CEO @ycombinator : The best startups are built by founders with a specific, hard-earned insight from living inside a problem, not by generic “AI for X” plays.

“Garry Tan launched GBrain, an MIT-licensed, state-of-the-art retrieval engine for agents—built for OpenClaw and Hermes but with full MCP server support to plug into almost any agent harness.”

#6 𝕏 Garry Tan launched GBrain, an MIT-licensed, state-of-the-art retrieval engine for agents—built for OpenClaw and Hermes but with full MCP server support to plug into almost any agent harness. #10 𝕏 Garry Tan rolled out the latest GBrain update, which adds synthesized answers to your queries instead of just basic retrieval. An A/B test of GBrain Search vs. GBrain Think shows it improving in accuracy every single day.

“Garry Tan shipped full iOS QA in GStack, enabling automated testing on real iPhones and simulators and unlocking /qa features for iPhone and iPad apps.”

#16 𝕏 Garry Tan shipped full iOS QA in GStack, enabling automated testing on real iPhones and simulators and unlocking /qa features for iPhone and iPad apps.

“Garry Tan released GBrain—an MIT-licensed OSS retrieval and memory system that achieves SOTA on LongMemEval, beating all known open-source repos by over 1% without any LLM query rewriting.”

#12 𝕏 Garry Tan released GBrain—an MIT-licensed OSS retrieval and memory system that achieves SOTA on LongMemEval, beating all known open-source repos by over 1% without any LLM query rewriting. He’s already running it on his own 100k-page OpenClaw/Hermes Agent brain.

“Garry Tan used a metaprompt to have GBrain read the README as a first-time user, rate it on clarity and onboarding (0–10), suggest improvements to achieve a perfect score, then automatically implement them.”

#17 𝕏 Garry Tan used a metaprompt to have GBrain read the README as a first-time user, rate it on clarity and onboarding (0–10), suggest improvements to achieve a perfect score, then automatically implement them.

“#6 𝕏 Garry Tan announces that GBrain now ships with ZeroEntropy as its recommended default embedding and re-ranking engine, replacing OpenAI and Voyage AI.”

#6 𝕏 Garry Tan announces that GBrain now ships with ZeroEntropy as its recommended default embedding and re-ranking engine, replacing OpenAI and Voyage AI. #9 𝕏 Garry Tan observes that we’ve shifted from writing code to invoke LLMs to authoring prompts and skill files that let them execute code—and hints that the next phase of this evolution is still unwritten.

“#5 𝕏 Garry Tan launched GBrain, an open-source knowledge system (not RAG in a box) with eight memory-enhancing layers that make agents like OpenClaw and Hermes feel clairvoyant about you, paving the way for personal AI.”

Today's top 13 insights for PM Builders, ranked by relevance from X, Blogs, and LinkedIn. Why LLM features need end-to-end observability metrics #1 𝕏 Boris Cherny upgraded /usage to show personalized token usage by plugin, skill, and parallel agent, so you can pinpoint high-consumption drivers and maximize your doubled rate limits. #2 𝕏 xAI integrates X Premium subscriptions into Hermes Agent and equips it with native search across X posts. #3 📝 PromptLayer Blog A deep dive into LLM observability tools - Discusses the need for observability when shipping LLM-powered features, since models can return confidently wrong answers while logs show successful API responses. Argues observability must connect inputs, outputs, latency, cost, and quality to diagnose real production issues. #4 𝕏 Sebastian Raschka presents a visual overview of recent LLM architectures—from Gemma 4 to DeepSeek V4—showcasing long-context efficiency tweaks. He dives into innovations like KV sharing, per-layer embeddings, layer-wise attention budgets, compressed attention, and mHC. #5 𝕏 Garry Tan launched GBrain, an open-source knowledge system (not RAG in a box) with eight memory-enhancing layers that make agents like OpenClaw and Hermes feel clairvoyant about you, paving the way for personal AI.

“Garry Tan built a defense-in-depth security stack for LLM apps, using Silmaril to block shell-level prompt injections, layered with OpenClaw container isolation and a Hermes Agent for runtime threat monitoring.”

#4 𝕏 Garry Tan built a defense-in-depth security stack for LLM apps, using Silmaril to block shell-level prompt injections, layered with OpenClaw container isolation and a Hermes Agent for runtime threat monitoring. #11 𝕏 Garry Tan says you can token-max $10K/mo with OpenClaw/Hermes + GBrain to unlock 2028-level AI, effectively getting the future’s standard model now for about $100/mo.

“Garry Tan spent the morning diving into OpenClaw’s Dockerfiles to fix a PATH misconfiguration using Claude-generated code.”

#3 𝕏 Garry Tan spent the morning diving into OpenClaw’s Dockerfiles to fix a PATH misconfiguration using Claude-generated code. By afternoon the bug was squashed and development was back on track.