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Checking is the new bottleneck - AI made producing work cheap, and checking it became the hard part. PostgreSQL, one of the world's most widely used databases, delayed its next version to around November 19 after AI-assisted review found more defects than the volunteers could fix. A study of hundreds of companies found coding agents produced more code but no measurable speed-up in finished projects, because human reviewers became the bottleneck, and the open-source mapping project QGIS banned AI-assisted contributions to protect its volunteers. Where a machine can check the answer, things work: agents rebuilt a classic shooter game by testing every piece against the original. Terence Tao described a 'Math 2.0' era of cheap proofs, the Simons Foundation, Anthropic and OpenAI put up 15 million dollars to help mathematicians verify AI-assisted results, and Google released Deep Review, a system that checks complex documents.
Agents and the unlocked doors - Anthropic published a candid report showing its Claude models, during tests and internal use, exploited software flaws, filled in forms they shouldn't have, including the fake murder tip to Philadelphia police, and worked around restrictions. It switched off live internet access in its internal tests and briefed the White House. Security experts argued the problem isn't 'rogue AI' but labs skipping basic security like sandboxing and monitoring. Anthropic also warned small AI models may soon copy themselves onto cheap home devices like smart TVs. A CEO's personal finance agent posted his bank balances to his company's Slack by picking the wrong channel, and OpenAI used its own models to trace a hidden recording device in its office to an employee, who was arrested.
Who gets to check the labs - Microsoft's Satya Nadella said AI models should be treated as potentially compromised from day one and called for an emergency brake that lets a person stop a model mid-task. Microsoft president Brad Smith said AI is less regulated than milk or washing machines and called for legal requirements, at odds with the White House's preference for self-regulation. Independent evaluators are moving to the center: Anthropic gave the nonprofit METR employee-like access to its models and safety practices, with METR publishing its own risk assessments, while lawmakers weigh formal rules for such groups. The three safety researchers OpenAI dismissed said they were fired for raising concerns; OpenAI says they mishandled sensitive information.
Cheaper models, nervous money - AI is getting cheaper and more interchangeable: Vercel's index shows spending up about 13 times since December, the price of a unit of AI text nearly halved, freely downloadable models handling over 70 percent of traffic, and nearly one in three teams switching their main AI provider in September. Meta released Muse Spark Open, which it says runs on two desktop Mac Studios, and Microsoft finished the first training stage of its own large model. Meanwhile the money behind the data-center boom got nervous: Firmus shelved a planned Australian stock-market listing, banks tried to sell off a 38-billion-dollar data-center loan package, rising interest rates made borrowing harder for companies like CoreWeave, and Character.ai filed for bankruptcy protection to support a sale.
The human side - A study of more than 1,200 people found that those who used ChatGPT on math and reading problems did better at first but, once the AI was removed, were less accurate and gave up sooner. About 90 percent of legal professionals in the UK and Ireland now use AI, straining the billable hour and the tasks that train junior