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Joined 2 years ago
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Cake day: October 23rd, 2024

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  • There’s this, lusting over Republican candidate asses, and bragging about finding a giraffe in a kid’s drawing.

    1. No one around him is able to give him a filter to not say dumb shit that makes him look bad.
    2. Like 2020 election, he can’t lie his way about corruption/destruction of America (Covid management was bad) promising to undo it. So he has to talk about “nothing”.

    Flexing on the world, for no gain, does show how cowardly and sycophantic that world is and continues to be. It’s still late stage empire behaviour and collapse acceleration.



  • There is a genuine “training corpus” that is an accumulated asset and grows and feeds new models. The vast majority of training cost, that should be expensed, is the training time compute. Neither of these are expensed. There was about 13 major US model releases in September. At least 7 of these replaced a 1 month old previous model family. Open AI gpt sol went from 5.6 to 6 to 6.1 in about 2 months.

    Fast model releases not only lock in structural losses, they juice revenue growth illusions. Model use rate generally drops by 66% 4 weeks after release, because of competition, and a surge of use on release for evaluation.















  • Their definition of a heat storm is 90th percentile temperature over an area half the size of Canada. I could not find the baseline 90th percentile mark, but it could be 1960 or 1980.

    This is a made up definition. It mostly tracks overall extreme global warming since 1980. Warming oceans means automatic amplification of surface air temperatures over those oceans, and so under their definition, massive air heat storms are occurring just in every day conditions, under global warming.

    A far more interesting study question is whether very strong long lasting high pressures are more common. Hurricanes (strong low pressures) have extremely amplified since 2016 in both numbers and strength events.