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Search resuls for: "Nilesh Tripuraneni"


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The race to build AI as smart as humans, or AGI, looks like it suffered a major blow. Google researchers found the transformer technology behind AI isn't very good at generalizing. AdvertisementAdvertisementGoogle researchers may have just given a major reality check to the ambitions of CEOs in chase of AI's holy grail. As it stands, AI is pretty good at specific tasks but less great at transferring skills across domains like humans do. AdvertisementAdvertisementTransformers' opacity and the scale of the data they're pretrained on gave some the illusion that they generalize beyond it.
Persons: , Steve Yadlowsky, Nilesh Tripuraneni, they've, Pedro Domingos, AGI, Satya Nadella, Sam Altman, Arvind Narayanan, Jin Fan, G5mBuX6O36, Jim Fan, Domingos, it's, — Pedro Domingos, @pmddomingos, Sharon Zhou Organizations: Service, University of Washington, Microsoft, Nvidia, Google Locations: LLMs, Princeton, AGI
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