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AI's bottleneck was never its algorithms but how little data they were fed, which is why the field needed ImageNet rather than another model.

Drawn from what Fei-Fei Li said

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What Fei-Fei Li actually said

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  1. Fei-Fei Li

    Sequoia Professor of Computer Science at Stanford

    So we conjectured that the lack of data was a huge part of the reason that's the lack of progress in AI. So we took a departure from everybody else who are really focusing only on algorithm and said that we need data. we need data to drive these algorithms.

    Where this was said

    Watch from 0:10:51 plays here

    ↗Using AI to Increase Your Intelligence & Enrich Humanity | Dr. Fei-Fei Liyoutube.com

    video · 2h 08m · spoken · machine transcript

    All 21 korrents from this recordingthis one is 2nd

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