Trail of Bits counted 21 regressions in its own merged, agent-assisted patches. Then it split "the bug is fixed" and "nothing else broke" into two separate checks, and gave both away.
Mistral's Timestral ran on four CPU cores with no GPU and beat the spreadsheet baselines on 22 of 23 series. It lost on GB grid demand, which is why a company's own data, not the leaderboard, decides whether it earns a pilot.
Resident AI, built on real data and hard-earned lessons from the trenches — in your inbox, every day.
Attackers tried PHP2Shell four days before the fix shipped. The answer is not patching everything faster: a short list of internet-facing systems, a deadline in hours, an owner, and the old cycle for the rest.
Trail of Bits counted 21 regressions in its own merged, agent-assisted patches. Then it split "the bug is fixed" and "nothing else broke" into two separate checks, and gave both away.
Mistral's Timestral ran on four CPU cores with no GPU and beat the spreadsheet baselines on 22 of 23 series. It lost on GB grid demand, which is why a company's own data, not the leaderboard, decides whether it earns a pilot.
Two launches this week sold coding models on DeepSWE, where every run starts from an untouched repo. Hand the same agents work that only looked finished and they lost 20.6 to 53.5 points – and the top two from a clean start fell to third and fourth.
Two layers Git doesn't have are checkpoints below the commit and provenance above it. ghf captures every agent edit as restorable worktree state, and GitStory binds cited rationale to the commit that landed. Neither writes anything into Git.
Writing code got cheap; reading it did not. The Claude Code team decides change by change how much human review each one gets. Here is the three-tier method, what it does not prove, and a four-week trial.
Plus: Db2 code that cost $4,172 to write and a human on every merge to trust, a CLI daemon that outlives the session, and Meta’s terms for crawling your site
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.
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.