OpenAI's new biology model answers dual-use lab questions with fewer refusals
GPT-Rosalind-6 System Card Addendum
GPT-Rosalind-6 is a frontier biology and drug-discovery reasoning model built on the same weights as GPT-6 Astra, with no extra training. OpenAI rates it High capability in Biological and Chemical, below Critical, and Critical in Cybersecurity. It scores 49.6% on MedChemBench v7 and 37.7% on GeneBench Pro v13, well above GPT-Rosalind-5.5, and is released only through vetted trusted access.
Rosalind has fewer refusals on dual-use biological queries but is only made available via trusted access.
- deadnomore
The phrase system card is so frustrating because it’s using the word card like it’s a metaphor for something but then abuses it. A card is supposed to be small and concise. This has many, many pages and is an “addendum”.
- fakwandi_priv
Slightly off-topic to this model card but has anyone noticed changes to GPT6 Astra about a week after 6.1 came out?
I feel like 6 Astra just turned a lot lazier during planning and strangely enough claude has become a lot more assertive with Opus 5.5 while it used to be very lazy.
It’s really obvious during planning, it used to be that claude would just give a best effort guess and handwave things but now it will actually write small tests, launch playwright to test a hypothetical and even look things up in github during a question. This was something codex’s models were really good at.
I’ve read so many stories about people claiming models getting nerfed after a new release and now it seems I can finally join them.
- Alifatisk
> GPT-Rosalind-6 uses the same weights as GPT-6 Astra, our flagship reasoning model.
Didn’t Sol-6.1 top Astra? Or is it maybe that Astra is still a larger model and therefore can comprehend deeper complexity better in the long run?
- ludvigk
So how is this different from Astra, if it's the same weights and zero other training has been done?
Did they essentially package a system prompt?
- kingjimmy
OpenAI naming scheme makes no sense. I get naming is hard but atleast keep it consistent.