
Please Describe the Problem
AI is turning us from problem solvers into problem describers. Whether this sharpens our thinking or simply outsources it remains an entertaining open question.

Six tech leaders pledge safer AI, but voluntary oversight leaves hard questions unanswered. A typo beneath Trump’s signature supplies the accidental punchline.

AI is turning us from problem solvers into problem describers. Whether this sharpens our thinking or simply outsources it remains an entertaining open question.

Long-running AI agents need more than memory: they must assess information, revise assumptions, and prevent outdated conclusions from shaping future decisions.

Next Concept Prediction could help language models learn more efficiently and specialize more cheaply, but better benchmarks do not yet guarantee better chatbots.

AI leaders sell progress and preach caution, while warnings gain publicists. Who gets to define safety, shape the rules, and decide when the brakes really bite?

Kevin Bass raises serious questions about AI safety funding, but his own evidence falls short of proving Anthropic controls a self-serving regulatory machine.

As AI gets smarter, mistakes get pricier. Who defines a wrong answer, who bears the blame, and why does the meter keep running through yet another apology?