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Joined 10 months ago
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Cake day: December 29th, 2023

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  • Generative AI doesn’t get any training in use. The explosion in public AI offerings falls into three categories:

    1. Saves the company labor by replacing support staff
    2. Used to entice users by offering features competitors lack (or as catch-up after competitors have added it for this reason)
    3. Because AI is the current hot thing that gets investors excited

    To make a good model you need two things:

    1. Clean data that is tagged in a way that allows you to grade model performance
    2. Lots of it

    User data might meet need 2, but it fails at need 1. Running random data through neural networks to make it more exploitable (more accurate interest extraction, etc) makes sense, but training on that data doesn’t.

    This is clearly demonstrated by Google’s search AI, which learned lots of useful info from Reddit but also learned absurd lies with the same weight. Not just overtuned-for-confidence lies, straight up glue-the-cheese-on lies.


  • My understanding is that amortization is the confusing part of the situation OP is asking about. When you have an asset, the cost of it is deducted from income over the useful life. By declaring that it will never be released, the useful life is reduced to zero, allowing them to take the whole tax deduction at once.

    They still would have been better off never spending the money. Since they already have, if they have so little cash that they can’t afford their tax bill, it might make sense to throw away future income to stay afloat now.