Claude optimizes 30+ open-source biomolecular models, ~4x faster in under four weeks
aigclink · x · 2026-09-18
Anthropic's blog details how Claude Science optimized 30+ open-source biomolecular prediction/design models in under four weeks, 4x speedup on average, plus a low-memory mode enabling accurate prediction of >10,000-token biomolecular systems on a single NVIDIA GPU node.
- Prior work: Claude designed de novo protein binders, spending up to $10,000 per target (2,500 H100 hours) on Modal.
- All optimized code is open-sourced; a protein design competition with Adaptyv Bio offers up to $1M in Claude credits and wet-lab validation for 5,000+ designs.
More from Research
- WASABI: Blei lab trains diffusion models to sample Boltzmann distributions with 3.3x fewer energy evaluations — skoularidou · 2026-11-02
- A complete math roadmap for machine learning: linear algebra, calculus, probability — TivadarDanka · 2026-11-02
- A base LLM plus 11 lines of code is all you need for a decision model — helloiamleonie · 2026-11-02
- Editor fully resigns from JMLR, arguing AI reviews beat rushed humans and journals need a rethink — roydanroy · 2026-11-02
- flowl: a probabilistic programming language built on optimal transport, not distributions — burny_tech · 2026-11-02
- Asynchronous Flow Map Language Models Generate All Tokens in a Single Forward Pass — kalyan_kpl · 2026-11-02