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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
Mental modelBottlenecks
What Fei-Fei Li actually said
- 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.
Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us
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