"If tried-and-tested AI-model training methods are providing diminishing returns, it could undermine the core reason for an unprecedented investment cycle that's funding new startups, products, and data centers - and even rekindling idled nuclear power plants."
"Together, they said that tapping into new types of data, building reasoning into systems, and creating smaller but more specialized models were some of the ways to keep the wheels of AI progress turning."
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