Bix Bench seems like a really interesting/useful idea but most of the value for a layperson (like me) is comparing the results of different models on the benchmark. From what I can find there is no centralised & updated model results set. Shame.

What of it?

For me too, it was around that time last year, with GPT-5, Claude Sonnet 4.5 and then Gemini 3 that I started feeling that these models are clearly becoming great at reasoning. I'm not at all opposed to saying that they are around PhD-level on at least some domains.

> GPT‑Rosalind is now available … for qualified customers …

It’s kind of gross to make money off her name (if that’s what’s happening) posthumously. It’s a complicated story anyway. IIRC her sister referred to it as “the Cult of Rosalind” when people were cashing in on books about her.

What would be a good use of AI? Writing code to do the modeling?

I would argue that while you still have failed trials, then we have room to improve trial vetting.

> We want to make these capabilities available to the scientists and research organizations best positioned to advance human health, while maintaining strong safeguards against biological misuse. The Life Sciences model is launching through a trusted-access deployment structure for qualified Enterprise customers in the U.S. to start, with controls around eligibility, access management, and organizational governance.

I'm absolutely ok with a legitimate lab scientist conducting biochemical research getting suggestions about substances that are generally considered dangerous but might be appropriate for their study, and it'll be up to the scientist to discern whether it is indeed appropriate to use.

Is society's behavior determined by the administration? Odd way to live your life. This model is a tool, not a servant, but in any case I think paying homage to someone who made incredible contributions is a positive. Eye of the beholder, I suppose.