Google DeepMind disbanded the team that developed AlphaFold, the protein-structure-prediction AI model that produced a Nobel Prize winner, according to a Financial Times report on the 29th. The research organization and strategy were reorganized around Gemini due to the rise of large language models (LLMs) and AI agents. Most co-authors of the AlphaFold paper were reassigned over the past year to areas including Gemini-based projects, enzyme design, nuclear fusion, and genomics. Some researchers moved to Isomorphic Labs, Alphabet's drug discovery subsidiary, and one-quarter of DeepMind's full-time authors who worked on the AlphaFold paper have left the company. The reorganization marks a shift from concentrating staff on single scientific challenges like protein folding to developing general-purpose AI systems applicable across multiple fields. Pushmeet Kohli, vice president of research leading the "AI for Science" team, stated the strategy has evolved from focusing on grand challenges. DeepMind now plans to build Gemini-based systems to support scientific research and, long-term, automate parts of the scientific process, while continuing to compete in developing cutting-edge AI agents alongside OpenAI and Anthropic.