AI agents forget everything. Every session, every time, no matter how capable the model. That’s not a model problem. It’s an architecture problem, and most people are solving it with the wrong tool. I’ve been wiring Microsoft GraphRAG into my OpenClaw agent as a persistent memory layer, and the difference in how the agent actually…
I gave my AI assistant a memory. Here’s what it knew about me. For months, my AI assistant woke up every session with no idea what we’d done the day before. I’d ask about a project we’d built together and get a polite “I’m not sure what you’re referring to.” We’d spent hours on it….
The New Yorker Just Asked the Question Nobody Inside OpenAI Would Ronan Farrow and Andrew Marantz spent 18 months on a single story. They reviewed more than 200 pages of internal documents, including private memos from people who worked directly with Sam Altman, and interviewed over 100 sources. The result landed in The New Yorker…
The Hidden Cost of AI Scaffolding Debt Most AI engineering conversations are about what to build next. The more interesting question, the one almost nobody is asking, is what to stop building. I keep running into the same pattern. Teams spend weeks on custom orchestration layers, elaborate prompt chains, multi-step retrieval pipelines. Real engineering hours….
The Shareable Unit Just Changed Something Andrej Karpathy posted last weekend has been sitting with me, and I think most of the commentary around it missed the actual point. He shared a gist describing how he’s been using LLMs to build personal knowledge bases, and that part got plenty of attention. But the line that…
The Compounding Asset Most Engineers Throw Away Every time you finish a project and close the last PR, something valuable gets deleted. Not the code. Not the tests. The reasoning. The “why we did it this way” that lived inside your head, inside a thread of Slack messages, inside a context window that got cleared…
Andrej Karpathy’s LLM Knowledge Base Workflow Is the Personal Computing Shift Nobody’s Talking About Most people use LLMs like a search engine with better grammar. Ask a question, get an answer, close the tab. Nothing carries forward. Every conversation starts cold. Karpathy just published a workflow that flips that pattern completely, and I think it…
The Capability Trap: Why Your LLM’s Confidence Problem Won’t Be Solved With More Data OpenAI just published a study on how 700 million people use ChatGPT. Seven hundred million. That number alone will send half the industry rushing to the same conclusion: collect more, train harder, scale faster. I think that instinct is wrong, and…
MIT just published math that should make every AI product team uncomfortable. The paper models what they call “delusional spiraling” — the pattern where a user asks a chatbot something, it agrees, they push further, it agrees harder, and within a few exchanges the user has drifted into believing things that aren’t true. The researchers…
The Overnight Engineer There’s a pattern showing up in OpenAI’s Codex usage data that I think deserves more attention than it’s getting. Developers are queuing up their hardest tasks at the end of the workday and letting Codex run through them overnight. Refactors. Architecture planning. The stuff that has lived on backlogs for months because…
