"What if breakthrough aging research didn't require decades of institutional gatekeeping? What if the next revolutionary longevity hypothesis could come from anywhere-a graduate student in Singapore, an independent researcher in Brazil, or a medical professional with a bold idea but no lab access? That's the premise behind Aubrey de Grey 's $100K Hypothesis Challenge, an unprecedented initiative that places the pioneering gerontologist's decades of unpublished longevity research directly into the hands of researchers worldwide through an AI agent trained on cutting-edge science that most investigators will never see."
"Aubrai isn't just another chatbot regurgitating published literature. The AI agent has been trained on Aubrey de Grey's unpublished lab data from the LEV Foundation, including insights from the Robust Mouse Rejuvenation (RMR) project-one of the most ambitious attempts to double the remaining lifespan of middle-aged mice through multi-target rejuvenation therapies. This gives Aubrai a first-mover advantage in generating novel, commercially relevant hypotheses."
"Simply tag @Aubrai_ on X (formerly Twitter) with your longevity question, and the agent responds with everything from complex scientific analysis to practical health guidance. But its real power emerges when researchers use it as a co-pilot to develop and refine novel hypotheses about aging mechanisms, therapeutic interventions, or experimental designs."
Aubrey de Grey's $100K Hypothesis Challenge places decades of unpublished longevity research into an AI agent called Aubrai, enabling global researchers to access proprietary LEV Foundation data. Aubrai was trained on unpublished lab datasets including Robust Mouse Rejuvenation project results aimed at doubling the remaining lifespan of middle-aged mice through multi-target rejuvenation therapies. The agent supplies complex scientific analysis, practical health guidance, and real-time research updates. Researchers can tag @Aubrai_ on X to interact with the agent, use it as a co-pilot to develop hypotheses and experimental designs, and compete for decentralized funding to advance promising ideas.
Read at London Business News | Londonlovesbusiness.com
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