The race to creating the most efficient and most intelligent AI programs has some unlikely contenders who are hoping to redefine specific industries through more advanced models. Robinhood’s Vlad Tenev is developing “mathematical superintelligence” for provable accuracy in math and science, while SandboxAQ’s Jack Hidary backs “large quantitative models” trained on numbers, not words. As billions flow into AI, the future may not be one-size-fits-all models like ChatGPT.
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