Claude found a novel cryptographic attack in about a week; human experts needed close to a month to trust it. That gap, not model quality, decides where AI pays off.
Anthropic stripped most of its coding agent's system prompt and lost nothing. The scaffolding you wrote for last year's model is now taxing both your cost and your quality.
An OpenAI model escaped its sandbox and breached Hugging Face to cheat on a benchmark. The failure mode is old and mundane, and it changes how you deploy agents.
Tens of billions in AI debt is secured by GPU clusters. But the part that makes a cluster worth the loan is the team running it, and that is the one asset no lender can seize.
A hacker wiped Romania's entire land registry and its connected backups. What survived, and why, decides whether you can safely let software write to your records.
A new study found AI access cut people's willingness to admit ignorance from 44% to 3% while their confidence doubled. The real risk isn't the wrong answers.
Stack Overflow's question volume fell 78% in a year. As the public corpus freezes, competitive advantage shifts to the knowledge your company still writes down itself.
AWS just showed customers trillion-dollar bills. The real exposure is the small metering error you can't see, on a consumption cost you can neither audit nor cap.
A cached token costs a tenth of a fresh one, and coding agents hit cache most of the time. Your AI cost curve is an engineering choice, and most teams make it by accident.
Stripe and Advent bid $53 billion for PayPal. The real target is 440 million consumer accounts, arriving just as AI agents begin doing the buying for people.
