
Trust Us. We’re Very Worried.
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?

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?

Recurrent Looped Transformers could help AI track evolving tasks, but early results leave major questions about reliability, scalability and computational cost.

Nationalising AI won’t make it safe. A sharp look at Germany’s regulatory reflex, Europe’s red tape, and the freedom offered by models you can host yourself.

Anthropic says AI safety requires winning the race. But who defines victory, draws the finish line, and decides when responsibility means surrendering the lead?