A major announcement has shaken the tech world, potentially reshaping the landscape of fundamental research. Google has officially ceased the operations of the specialized team behind the revolutionary AlphaFold system. This AI, capable of predicting protein structures, was recently awarded the Nobel Prize in Chemistry, yet its creators are shifting their focus.

From Fundamental Science to Universal Agents

The corporation's decision came as a shock to the scientific community, yet it represents a logical step in the strategy of the tech giant. As confirmed by Google DeepMind's Vice President of Research, Pushmeet Kohli, the company is changing its approach. While the strategy for the past nine years focused on tackling individual grand scientific challenges, it has now evolved.

Instead of maintaining isolated teams working on narrow tasks, Google is consolidating computing resources and scientific talent. The new goal is the development of universal systems based on the Gemini model. The tech giant aims to create autonomous AI agents capable of assisting scientists across various fields and automating research processes as a whole.

The History of the AlphaFold Phenomenon

To understand the scale of these changes, one must recall the team's achievements. The development of AlphaFold began in 2018. By 2020, the system had solved the fundamental scientific problem of "protein folding," which biologists had struggled with for over half a century.

The program learned to calculate the three-dimensional structures of proteins from amino acid sequences in minutes. For comparison: previously, this required years of expensive laboratory experiments. Over 50 years of traditional research, scientists managed to reveal the structures of only about 170,000 proteins. In 2021, DeepMind released the AlphaFold Protein Structure Database to the public, providing free access to more than 200 million predicted structures.

In 2024, DeepMind CEO Demis Hassabis and lead scientist John Jumper were awarded the Nobel Prize in Chemistry for this development. Today, researchers worldwide use the AlphaFold database to create new drugs, develop vaccines, and study pathologies such as Alzheimer's and Parkinson's diseases.

Personnel and the Flow of Intelligence

Despite its worldwide success, Google decided to reassess its priorities. The leading specialists behind the project will now work on Gemini and projects in the field of biomedicine. Some of the authors of the original scientific papers have shifted their focus, concentrating on multimodal models.

Other employees were transferred to Isomorphic Labs, which focuses on the commercialization of AI developments for the pharmaceutical industry. However, the division also suffered significant personnel losses. Nobel laureate John Jumper announced in June that he was moving to the company Anthropic. Several other key engineers and authors of AlphaFold moved there with him.

Thus, the era of the narrowly specialized AlphaFold as a separate project is coming to an end, making way for ambitious plans to create universal intelligent agents of a new generation.