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You don't need to be dismissive - demonstrating what can be achieved with a lot of data/compute and additional human-supervised learning is progress.


> You don't need to be dismissive

Read it again, but this time turn off your preconception. I asked a question I wanted to hear a legitimate answer for. I am very interested to hear where this is headed (to the best of our ability to predict). The results we can get with sufficient computing power is quite interesting, but is it reaching the point of rapidly diminishing returns? What's the next step in this evolution, beyond making the training faster or adding more parameters to the model?




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