Microsoft is offering buyouts to 60,000 people as Anthropic's S-1 shows revenue up fourteenfold. What the two filings say together about payroll, vendors and who owns the customer.
A ten-year-old neural network beat GPT-6 and Claude at spotting skin cancer. What the result says about where a general-purpose model belongs on your AI roadmap.
Hidden text on 80 WhatsApp help pages steered AI answers away from data regulators. The bigger issue is that your prompts are policy documents with no policy owner.
Chrome removes XSLT on November 17 because almost nobody uses it. The decision rule behind that is worth borrowing, because it applies to every vendor you depend on.
Public AI benchmarks cover the work that is cheap to grade, not the work that pays your bills. Why the unmeasured majority is where private evidence becomes an advantage.
Merges grew tenfold in five months and source control became the bottleneck. The lesson for other companies is to find which of your tools still assume a person is the user.
A developer says a near-free model changed what he bothers to attempt. For leaders, the useful question is which work never got funded, and who checks the results.
Meta and Microsoft are reportedly cutting internal Claude use. The cut is a symptom: AI budgets run on usage counts until finance steps in, and a cap is a blunt tool.
Developers have always picked libraries by taste and familiarity. Now an agent makes those calls at machine speed, and most companies have never written down what it should prefer.
A harness around a model is where a company's judgment will live. Most firms can buy the loop and should keep the two parts that compound: corrections and review rules.
