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A cloud lab for biology allows running experiments via API in minutes, eliminating the need for expensive automation engineers and long setup times, enabling solo founders to conduct thousands of drug screens quickly.
Nicole Fitzgerald announces Tacit Labs, a new applied research lab at the intersection of AI and biology, with investment from Every.
The article highlights research from the Weissman lab at MIT, praising their recent contributions.
Three major AI labs — Anthropic, OpenAI, and Amazon — have made significant moves into biology this month, signaling a major industry shift toward AI-driven life sciences as the next frontier of value creation.
GPT-5 demonstrated a 40% reduction in cell-free protein synthesis (CFPS) costs through closed-loop experimentation with Ginkgo Bioworks' cloud laboratory, testing over 36,000 unique reaction compositions and achieving novel, robust formulations in just three rounds of optimization.
OpenAI demonstrates GPT-5's capability to accelerate biological research by autonomously optimizing a molecular cloning protocol in collaboration with Red Queen Bio, achieving a 79-fold improvement in cloning efficiency through novel enzymatic mechanisms. The work showcases AI's potential to support experimental iteration and empirical validation in wet lab settings while highlighting biosecurity considerations.
OpenAI collaborated with Retro Biosciences to develop GPT-4b micro, a specialized version of GPT-4o for protein engineering, achieving 50-fold higher expression of stem cell reprogramming markers with enhanced DNA damage repair capabilities. The findings have been validated across multiple donors and cell types, demonstrating AI's potential to accelerate life sciences research.