Bio AI

FineDNA released 514B mid-training tokens, 200,000 SFT conversations and 100,000 RL tasks. Its authors report about 67% variant-classification accuracy with code-grounded explanations, versus below 60% for self-distillation.

Google DeepMind released AlphaGenome Atlas, a searchable dataset of predicted molecular effects for possible single-letter human DNA variants. The company says the dataset contains 9 billion predictions.

Anthropic says Claude ran computational protein-design campaigns from expert-written protocols, producing binders tested by independent labs. Across 1,320 designs, reported hit rates ranged from 22% to 35%.