• Alaknár@sopuli.xyz
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    1 hour ago

    But that’s completely not true! Like, not a single thing you said is even slightly correct!

    LLMs are relatively cheap to run - at small scales. You can run an LLM on your own computer right now. It won’t be super fast, it won’t have super skills, but you can run it, and you can train it yourself.

    Massive LLMs like ChatGPT require tremendous resources precisely because they are not just tools available only to big players. Everybody on the planet has access to them - for free. The only actual difference there is between running an LLM locally and through a provider is that you get better speed and (sometimes, depending on context) better training through a provider.

    As for “there’s a lot to milk from its growing adoption” - maybe? Probably? Who knows? That’s the “magic” of the AI bubble we’re experiencing right now - the big players keep saying that it will “make work and money obsolete”, that “anyone will be able to do anything”, that “a time of post-scarcity approaches”, and a billion other bullshit marketing slogans like that. But the reality is that nobody has yet figured out how to make money on that thing.

    Right now, the only reason it’s “growing”, is because of the weird and probably illegal circular financing that’s going on at the very top - Nvidia invests in OpenAI, which invests in Oracle, which invests in Nvidia - and so on. No money is actually being made or (often) even changing hands, but everyone can now show they’ve received a lot of investment which pumps up their stock prices. The only reason this hasn’t popped yet is probably because the main investing parties are using tonnes of cash they had stored.

    Growing adoption means nothing. It’s a marketing tool for them to keep shareholders happy while they keep a literal investing circlejerk going, every now and again inviting another player into the fold.