OpenAI benchmarks GPT-Rosalind-6 against predecessor model
1 Nov 2 9:44 AM · 5d ago · 1 article · 2 posts · 8 comments · 3 sources · development 1 of 1
OpenAI evaluated GPT-Rosalind-6 on three life sciences research benchmarks and compared results with GPT-Rosalind-5.5. On MedChemBench v7, GPT-Rosalind-6 scored 49.6% versus 28.9% for the previous version. The model is rated High in biological and chemical capabilities, Critical in cybersecurity, and below High in AI self-improvement.
“GPT-Rosalind-6 is a frontier reasoning model for biology, drug discovery, and translational medicine.”
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1 outlet GPT-Rosalind-6 System Card Addendum
first by HN Frontpage, 5d ago
What people said 8 voices · best of 9 · verbatim
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Last I checked machine learning wasnt the bottleneck for drug discovery and where it fits in the research process was largely solved 5+ years ago.. Weren't there already a ton of ML based drug discovery startups that went out of business, or got aquired, not because they werent useful but because they produced more candidates than the industry…
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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…
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Great military terms: "dual use", "Preparedness Framework", etc.You just want to make all mathematicians and white collar employees unemployed and want to distract the press and the public with your extinction nonsense.Though you may care about bioweapons because they could affect you and your trafficked children.
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> 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?
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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”.
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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?
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It’s clear to me that open source will rule at the end of the day as everyone wants AI and nobody can rely on U.S crop/gov anymore.
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OpenAI naming scheme makes no sense. I get naming is hard but atleast keep it consistent.
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