Exhaustion of High-Quality Data Could Slow Down AI Progress in Coming Decades
The Data Exchange with Ben Lorica
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The Key Findings for NLP
If current trends continue as in the past, we will probably run out of data between 2030 and 2050 with a median data around 2040. If you include other languages, it should be more or less similar. To measure the amount of data for NLP, at that point you're just literally measuring volume. So there's no notion of quality.
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