Bank of America added 1,000 contractors to patch what frontier models found, PostgreSQL dropped features and curl shortened its release cycle. Finding flaws got cheap. Fixing them is still people, and that queue can be sized before it fills.
Closing Codex CLI no longer stops it. We put 0.162.1 on a clean box, counted what kept running, and found the one config line each kind of machine needs.
Resident AI, built on real data and hard-earned lessons from the trenches — in your inbox, every day.
From October 30, one Facebook page or one Meta ad can carry a license to crawl a company's website and train AI on it. Here is the paragraph in plain English, and four decisions to make before the date.
Bank of America added 1,000 contractors to patch what frontier models found, PostgreSQL dropped features and curl shortened its release cycle. Finding flaws got cheap. Fixing them is still people, and that queue can be sized before it fills.
Closing Codex CLI no longer stops it. We put 0.162.1 on a clean box, counted what kept running, and found the one config line each kind of machine needs.
Karpathy's capability funnel looks like a scoreboard. It reads better as a market map: the capability is ahead of its distribution, and his three drivers say where to build.
Cockroach Labs' coding agents added Db2 support for $4,172 in tokens, with no human-written code. Then the team put a human back on every merge. Rex follows where the cost went.
Plus: a budget alert that never stops the bill, a tutor 96% of students tried and 17% used when stuck, and a $200 plan that now buys half as much
Most AI stacks run the step that decides and the step that writes through the same chat model. North's call: buy a decision endpoint for one step this month, and prove it on labeled data first.
OpenAI shipped 722 AI-written math papers with Lean proofs, then withdrew three a day later. A green check proves the formal file. Here is what it leaves out, and four questions to ask before it moves a decision.
Old school thinking meets new tech. Live, unfiltered podcast, hosted by Ran Aroussi, with Muximus, our AI-in-chief, occasionally joining occasionally.
In this episode, I introduce VarOps, share our research on running company AI on local models, and explain why companies should own their knowledge and rent the thinking.
A two-week unreproducible mobile bug, 30 hours of agents, and the rules Ran uses so “done” means proof — not vibes.
Lights-out AI software factories produce slop; Ran’s lights-on loop keeps humans at plan and PR — and refuses to automate that gate.
AI, measured
Resident AI, built on real data and hard-earned lessons from the trenches — in your inbox, every day.