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OpenAI trained a new LLM, GPT-Rosalind, on 50 common biological workflows and major public databases to help researchers navigate massive genomic and protein datasets. The model links genotype to phenotype, suggests biological pathways, and prioritizes potential drug targets by leveraging mechanistic understanding.
AWS introduced Amazon Bio Discovery, an AI-driven platform that lets researchers run complex drug-design workflows without coding. It provides a library of biological foundation models, an AI agent for workflow setup and analysis, and links to lab partners for synthesis and testing, cutting months of work down to weeks.
AI model costs and rapid obsolescence are eating into margins—each new generation demands more compute, serves less time, and recoups less revenue. The only way to capture lasting value is by using closed-door models to drive high-value discoveries (like drug design) and own the instruments that generate proprietary data.