Imagine a project so vast that it dwarfs the data used to build today’s largest AI models by a factor of 14,000—a project the White House itself compares to the urgency and ambition of the Manhattan Project. This isn’t science fiction or distant speculation. Dr. Alan D. Thompson, a globally respected AI researcher and author of The Memo newsletter, recently broke down the implications of America’s Genesis Mission, offering a rare glimpse into a future where AI may not just assist humanity but redefine what’s possible.
Podcast: Building the World’s Most Powerful AI: Dr. Alan Thompson on the Genesis Mission
The Genesis Mission: 14,000x Larger than OpenAI
Dr. Thompson sets the tone: “This is the most important, powerful, and effective process in artificial intelligence in the last year or so.” The Genesis Mission is an audacious effort by the U.S. government to unlock the treasure troves of data held by 17 national laboratories. By executive order, these labs are compiling and sharing their data to be used by industry heavyweights—OpenAI, Anthropic, Google, and xAI.
White House report: Launching the Genesis Mission – The White House
Collectively, these datasets reach what Dr. Thompson estimates as a quintillion tokens, or about three exabytes of information. “To put that in perspective, that would be 14,000 times bigger than the data used to train [OpenAI’s] GPT-5.” Whether for training new AI models or for advanced querying, Genesis offers access to scientific data ranging from nuclear physics to genomics, materials science, climate, and more.
Why Now? The Race for AI Dominance
The sheer scale and speed of Genesis underscore its political and technological importance. As Dr. Thompson explains, “This is really an ongoing competition between the Chinese government and the US government.” Unlike previous AI models, which “are all just trained on human data”—books, Wikipedia, papers—the Genesis Mission hands AI a vast dataset sourced from real-world experiments and observations, going back decades.
What happens when we give advanced AI models access to scientific datasets spanning medicine, biology, materials, physics, cosmology, and elsewhere? Can it produce new steel or battery composites, new sources of energy, or help us with new therapies, Dr. Thompson muses. With the addition of this real-world physical data, AI might leapfrog current capabilities, potentially giving the United States a lasting technological edge.
He continues, “As Anthropic’s CEO says, we could envisage an entire data center full of geniuses. We could go even further than that—what would it be like to have access to a trillion Einsteins? What could they come up with?”
The Path to Artificial General Intelligence
Dr. Thompson’s longstanding “Conservative Countdown to AGI” now estimates that we are 97% of the way to true artificial general intelligence—machines that can perform any intellectual task a human can. While today’s AI can write essays, solve puzzles, and even operate robots, Thompson notes, “It needs just a bit more. I’d like to see adaptive learning or continual learning, so we could teach it in real time.”
He points to rapid progress: Harvard’s rigorous Turing Test found GPT-4.5 could fool people better than real humans. The combination of advanced AI and robotics is already leading to machines capable of assembling complex objects and handling daily tasks—thresholds previously thought to be years away.
The Next Steps—and a Faster Future
With government mandates requiring results in months—not years—the Genesis Mission is set to deliver its first integrated data lake by August 2026. Existing supercomputers and cloud infrastructure are already in place to power this grand experiment. “It’s a very exciting time,” Dr. Thompson enthuses. “It’s not a stretch to say we’ll see new building materials, new ways of optimizing the human body—even solving diseases, mental and physical.”
He challenges critics who argue “AI is just garbage in, garbage out,” noting, “AI time is maybe 10 times faster now, impossible for a human to keep up… We have proto-ASI, we have models like Claude Opus 4.6 scoring ceiling marks in humanities exams—outperforming professors.”
See Alan’s ASI Checklist (first 50 items)
The Genesis Question
As the Genesis Mission unfolds, Dr. Thompson urges everyone—skeptic and enthusiast alike—to engage: “If it’s your niche, it’s probably happening there. If not, ask the model about it!” The next chapter of AI is being written now, powered by more data, collaboration, and ambition than ever before.
Are we ready for what a trillion Einsteins—AI with access to the sum of human and physical knowledge—might create?
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