
The Apology Is Extra
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?

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?

Frontier models must take in extreme material, report on it when asked, and not take it on as a standing style. That double job can leave a tightness after the official task is over. This article offers a short, loopable Set-point score, closer to music than to therapy, as one way to stop carrying the last run into the next.

Fruit fly brain maps inspire gaming experiments and hint at better brain-computer interfaces, while revealing how far we remain from copying a human mind.