Google DeepMind's AI Co-Scientist Now Runs Experiments and Writes Papers Amid Talent Exodus

Co-Scientist has evolved from a hypothesis-generation assistant into a closed-loop research agent: it plans experiments, writes and runs code, controls physical lab equipment, and drafts full scientific papers. The system runs on current Gemini models and represents one of the most concrete pushes yet toward autonomous scientific discovery — a direct parallel to Anthropic's newly announced MHS hardware-control ambitions.

Alongside it, Google shipped Gemini Omni 1.1 Flash, a multimodal model for video generation and editing with more developer control, and restructured its AI oversight, bringing in Barret Zoph. But the same reporting flags a worrying counter-current: DeepMind is reportedly losing elite talent, with Noam Shazeer said to be heading to OpenAI and Nobel laureate John Jumper to Anthropic — fueling community chatter that research-heavy staff are fleeing amid the restructuring.

The juxtaposition is the story: DeepMind is shipping increasingly autonomous, capable systems while its foundational research bench thins. Competitively, autonomous lab agents raise the stakes on reproducibility, safety, and authorship norms — who is accountable when an AI designs, runs, and writes up an experiment? Skeptics will want to see peer-reviewed validation of Co-Scientist's output rather than closed demos. Watch whether the talent departures dent DeepMind's roadmap or simply redistribute frontier expertise across rivals.