I’m just some guy, you know.

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Joined 5 months ago
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Cake day: May 7th, 2024

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  • I love this kind of delusional statement.

    “Researchers spent tens of billions of dollars, and put decades into research, and now that there is breakthrough progress in applied machine learning, but we should bury all knowledge of it and abandon the entire sector because of vibes.”

    Scepticism of AI businesses and hype is perfectly understandable, but you’re not putting this cat back in the bag…








  • Between AI and shitcoin mining, these two “technology branches” already consume more power than all the green power added to the grid combined.

    I think you would be shocked if you learned what some other things in our world cost in CO2.

    The energy costs of cryptocurrency mining are easy to calculate because the system is extremely transparent. AI is a little muddier, but we know how much big tech is expanding data centers, and we know how many enterprise GPUs Nvidia sells, so we get a decent estimate.

    But these things don’t actually do as much damage as compared to other things. Imagine how much energy is used for Gaming PCs and consoles. It’s probably up there with Crypto and AI if you consider all running consoles and PCs, plus all the multiplayer infrastructure. But we don’t have numbers because this is hard to calculate.

    And then there’s stuff like personal automobiles, that completely blow these other things out-of-the-water.



  • Is it though? We can show an AI thousands of hours of something and it can simulate it almost perfectly. All the game mechanics work! It even makes you collect keys and stock up on ammo. For a stable diffusion model that’s pretty profound emergent behavior.

    I feel like you’re kidding yourself if you don’t think this has real world applications. This is the kind breakthrough we need for self-driving: the ability to simulate what would happen in real life given a precise current state and a set of fictional inputs.

    Doom is a low-graphics game, so it’s definitely easier to simulate, but this method could make the next generation of niche “VidGen” models extremely accurate.