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Joined 9 months ago
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Cake day: December 23rd, 2025

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  • Two problems:

    1. The technology cannot actually improve. Increasing model scale increases power costs and compute time in return for higher accuracy. The returns from increasing model scale at optimal compute times diminish at a rate which will stop producing better results when about 94% accuracy is reached with literally infinite training data and compute time. There is no evidence that this approach will ever be improved upon in a way that approximates human output such as an AGI.

    2. Even if it were free it creates liability and it’s still also free to simply just not to use it and since it isn’t necessary for literally any task: the costs will never be justified under any circumstance.