Wow. I can’t believe Glacier is on that list.

Does not be accessible to new customers mean a new test account that rolls into the same parent org would no longer have access either?

I'm stuck on an nVidia Jetson system (which is Ubuntu based) and using Nix with the vendor supplied CUDA etc. is a disaster. Sadly, it is not possible to install other distributions either.

So while I'm happy for those who can run Nix, keep in mind that it is not a universally available path to nirvana (liberation from suffering).

It is frequently suggested that once one of the AI companies reaches an AGI threshold, they will take off ahead of the rest. It's interesting to note that at least so far, the trend has been the opposite: as time goes on and the models get better, the performance of the different company's gets clustered closer together. Right now GPT-5, Claude Opus, Grok 4, Gemini 2.5 Pro all seem quite good across the board (ie they can all basically solve moderately challenging math and coding problems).

As a user, it feels like the race has never been as close as it is now. Perhaps dumb to extrapolate, but it makes me lean more skeptical about the hard take-off / winner-take-all mental model that has been pushed.

Would be curious to hear the take of a researcher at one of these firms - do you expect the AI offerings across competitors to become more competitive and clustered over the next few years, or less so?

Has a critical service that you used meaningfully changed to seemingly integrate non-deterministic "intelligence" in the past 3 years in one of its critical paths? I'd bet good money that the answer to literally everyone is no.

My company uses GenAI a lot in a lot of projects. Would it have some impact if all models suddenly stopped working? Sure. But the oncalls wouldn't even get paged.