Ex-DeepMind Researcher Seeks Funding for Agents That Continuously Generate Their Own Training Worlds
jparkerholder · x · 2026-08-14
Former Google DeepMind researcher Jack Parker-Holder has launched an open call for a new experiment. He proposes that instead of training on a fixed set of environments, AI agents should continuously create new ones for each other to drive capability improvements.
He aims to run this experiment publicly at a much larger scale and is currently looking for compute funding or contributors. This idea builds upon his paper Open-Endedness is Essential for Artificial Superhuman Intelligence, which argues that open-ended, ever-self-improving systems are a crucial ingredient for achieving ASI.
Related event: Ex-DeepMind Researcher Calls for Funding Open Agent Experiments(2 posts)→
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