OpenAI is so cooked and I'm all here for it
https://lemmy.dbzer0.com/post/34984867
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CEO personally chose a price too low for company to be profitable.
What a clown.
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well, yes. But also this is an extremely difficult to price product. 200$/m is already insane, but now you’re suggesting they should’ve gone even more aggressive. It could turn out almost nobody would use it. An optimal price here is a tricky guess.
Although they probably should’ve sold a “limited subscription”. That does give you max break-even amount of queries per month, or 2x of that, but not 100x, or unlimited. Otherwise exactly what happened can happen.
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“Our product that costs metric kilotons of money to produce but provides little-to-no value is extremely difficult to price” oh no, damn, ye, that’s a tricky one
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The real problem is believing that you can run a profitable LLM company.
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What the LLMs do, at the end of the day, is statistics. If you want a more precise model, you need to make it larger. Basically, exponentially scaling marginal costs meet exponentially decaying marginal utility.
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Some LLM bros must have seen this comment and become offended.
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guess again
what the locals are probably taking issue with is:
If you want a more precise model, you need to make it larger.
this shit doesn’t get more precise for its advertised purpose when you scale it up. LLMs are garbage technology that plateaued a long time ago and are extremely ill-suited for anything but generating spam; any claims of increased precision (like those that openai makes every time they need more money or attention) are marketing that falls apart the moment you dig deeper — unless you’re the kind of promptfondler who needs LLMs to be good and workable just because it’s technology and because you’re all-in on the grift
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look bro just 10 more reps gpt3s bro itl’ll get you there bro I swear bro
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Well, then let me clear it up. The statistics becomes more precise. As in, for a given prefix A, and token x, the difference between the calculated probability of x following A (P(x|A)) to the actual probability of P(x|A) becomes smaller. Obviously, if you are dealing with a novel problem, then the LLM can’t produce a meaningful answer. And if you’re working on a halfway ambitious project, then you’re virtually guaranteed to encounter a novel problem.
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Obviously, if you are dealing with a novel problem, then the LLM can’t produce a meaningful answer.
it doesn’t produce any meaningful answers for non-novel problems either
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I signed up for API access. I run all my queries through that. I pay per query. I’ve spent about $8.70 since 2021.
This seems like a win-win model. I save hundreds of dollars and they make money on every query I run. I’m confused why there are subscriptions at all.
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text/gemini