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Joined 12 days ago
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Cake day: June 11th, 2026

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  • I think you just answered your own question. In the scenario of ASI, who is training an AI smarter than an AI that’s already smarter than us? Also I don’t suspect AI will continue to be as inefficient as it is today in training or inference. A good example are voice clones that went from needing hours of audio to just 30 seconds of training data. On top of that synthetic data has been more than useful, aka data created by an AI to train another. One of my earliest projects was for a client who couldn’t give us any data to work on but gave us a breakdown of what the data was like so we just lorem ipsumed our way there to a model that could actually find their false negatives and false positives in their testing.












  • You were ahead of me, I still thought it was far fetched until I played with chatGPT 3 at the end of 2020. NN were still mostly shit and training them was shit but the transformer was the big breakthrough. There was gold in them there hills and I knew it was only a matter of time until everyone and their grandma was in the gold rush.