🚨The White House just launched the Genesis Mission — a Manhattan Project for AI The Department of Energy will build a national AI platform on top of U.S. supercomputers and federal science data, train scientific foundation models, and run AI agents + robotic labs to automate experiments in biotech, critical materials, nuclear fission/fusion, space, quantum, and semiconductors. Let’s unpack what this order actually builds, and how it could rewire the AI, energy, and science landscape over the next decade:
1/ At the core is a new American Science and Security Platform. DOE is ordered to turn the national lab system into an integrated stack that provides: • HPC for large-scale model training, simulation, inference • Domain foundation models across physics, materials, bio, energy • AI agents to explore design spaces, evaluate experiments, automate workflows • Robotic/automated labs + production tools for AI-directed experiments and manufacturing National-scale AI scientist + AI lab tech as infrastructure.
2/ The targets are very explicit and very strategic. Within 60 days, DOE has to propose at least 20 “national challenges” in: • advanced manufacturing • biotechnology • critical materials • nuclear fission & fusion • quantum information science • semiconductors & microelectronics This is about energy dominance, supply chains, and defense.
3/ The timelines are aggressive enough to matter: • 60 days → list of challenges • 90 days → full inventory of federal compute/network/storage for Genesis • 120 days → initial model + data assets, plus a plan to ingest more datasets (other agencies, academia, private sector) • 240 days → map all robotic labs and automated facilities across national labs • 270 days → demonstrate initial operating capability on at least one challenge Goal: A Functioning AI-for-science loop online in <9 months.
4/ This also formalizes a federal AI stack parallel to the commercial one. The order tells DOE and the White House science office to: • align agency AI programs and datasets onto this platform • run joint funding calls and prize programs • build partnership frameworks with external players (co-dev agreements, user facilities, data/model sharing, IP rules) Nvidia, OpenAI, Anthropic, xAI, Google, the clouds, biotech & chip companies are now potential suppliers and co-developers for a DOE AI system
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