https://preview.redd.it/digbhy9f483h1.png?width=1150&format=png&auto=webp&s=2e395097f1bcadd307f7ab733842fab6ae43dcb2 Google DeepMind CEO Demis Hassabis announced a pretty big strategic shift for scientific AI at Google I/O. Turns out the tech giant is moving away from building super narrow, specialized tools and is instead pivoting toward LLM-based agentic systems that can actually run independent scientific research on their own. Up until now, their specialized models were the go-to in academic circles. Their biology model AlphaFold, for instance, has helped over 3 million researchers so far. But with this new approach, Google is rolling out a “Gemini for Science” platform to bring agents like AI Co-Scientist and AlphaEvolve under one roof. To give you an idea of how big this shift is, John Jumper, the Nobel laureate who actually created AlphaFold, just moved over to lead AI coding at the company. Meanwhile, OpenAI just showed that its general-purpose model could disprove a math hypothesis without even having any specialized scientific training. This matters because scientific AI is changing from a basic helper tool into an autonomous infrastructure. These general agents can make independent contributions to discoveries, which means they won’t have to keep retraining models from scratch for every single domain. Google is calling them human collaborators for now, but the clear direction here is fully autonomous digital science. Source: https://www.technologyreview.com/2026/05/22/1137813/google-i-o-showed-how-the-path-for-ai-science-is-shifting/ submitted by /u/andrewaltair
Originally posted by u/andrewaltair on r/ArtificialInteligence