Loading...

Work Smarter with AI

Real workflows. Real results.Join 420 readers

Latest

T3 Code screen showing three council members (Opus, Muse, Sol) reviewing PR #31
2026.10.26

Open a PR, say 'council,' and your agent keeps fixing it until three AIs from different companies are happy

Open a PR in Claude Code or Codex, then call 'council.' Three AIs from different companies read the code without changing it and score it out of 10. Your own agent fixes what they flag and goes back for another review, and each round's scores end up as a table in the PR description. council is part of tstack, a set of PR skills Theo released. We collected PRs that other developers ran through it in their own repos and merged within two days of its release. The PRs don't mention tstack by name, but you can spot it by the format of the score table they leave behind.

tstack (Theo) · 3 cases

Insights2026.10.26

AI turned out 722 math manuscripts at once. Now the scarce resource is mathematicians to read them

OpenAI released 722 AI-generated math manuscripts at once. Of the 719 left after withdrawals, only 42% have proofs confirmed by the Lean program. This piece follows the record of 3 withdrawals over a calculation error the next day, 14 separate proof revisions, and how mathematicians reacted. Together they show math's bottleneck moving from producing proofs to finding people who can read and check them.

Insights2026.10.26

Handing classification to AI now costs almost nothing. Almost no one checked whether it got the answers right

TypeSafe's decision model Jev matched Claude Sonnet 5's score of 67.8% at $0.0004 per decision, but the answers it was graded against came from two AI models that aren't on the leaderboard. When Red Hat retested it on public data with labels already attached, Jev ranked first or fourth depending on the task, and the results did not show it was faster or cheaper. Now that decisions are nearly free, the first thing to check isn't the model's price. It's whether you have an answer key that can show the decisions were right for your work.

Insights2026.10.26

AI agent hacks hit several Korean financial firms, but the breached systems were loan-broker and staff tools, not banking apps

US security firm CrowdStrike analyzed AI work logs left on an attacker's server. The attacker ran a free open-source tool on other companies' commercial AI models and tried to break into many financial firms at once. What got breached were not banking apps but work systems for loan brokers and staff with weak identity checks. Korea's Financial Services Commission told firms to review systems by whether they are open to the outside, not by whether customers use them.

Load more
Weekly · Free

Hi, I'm Rush from Working Reference.

The week in AI: the BEST
just 3, straight to your inbox

Work Smarter with AI

420 readers get it every week

You're in See you in your inbox with the next issue.