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I guess you mean non-textual data then because the amount of text data they are being trained on ought to be enough for agi by now?

Some kind of diminishing returns asymptote from text volume alone must have been hit a long time ago.




It's not the amount that is wrong, it's how the model is trained. The model is trained for zero and few shot tasks. It is not surprising that it is performing well when you ask for that.




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