Remember the early days of Uber and Lyft, when rides were dirt cheap because the companies were operating at a loss in order to capture the minds/wallets of the masses?
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Remember the early days of Uber and Lyft, when rides were dirt cheap because the companies were operating at a loss in order to capture the minds/wallets of the masses?
The rug pull in the AI/LLM world when the companies adjust pricing to actually make a profit is going to be spectacular. Especially when you consider the numbers of people / orgs that are addicted to or dependent on such technology.
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R relay@relay.infosec.exchange shared this topic
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Remember the early days of Uber and Lyft, when rides were dirt cheap because the companies were operating at a loss in order to capture the minds/wallets of the masses?
The rug pull in the AI/LLM world when the companies adjust pricing to actually make a profit is going to be spectacular. Especially when you consider the numbers of people / orgs that are addicted to or dependent on such technology.
@wdormann I have no mercy, but I will be forgiving.
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Remember the early days of Uber and Lyft, when rides were dirt cheap because the companies were operating at a loss in order to capture the minds/wallets of the masses?
The rug pull in the AI/LLM world when the companies adjust pricing to actually make a profit is going to be spectacular. Especially when you consider the numbers of people / orgs that are addicted to or dependent on such technology.
@wdormann I think we're at the point where it's an opiate of the masses.
I gotta say I'm looking forward to seeing people go cold turkey, especially those who have the habit of taking LLM output and pretending it to be their own acumen at work. Or those who use ChatGPT to craft forum rebuttals and such - when this tide goes out, we'll truly see who brought their swim trunks and who never had them
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@crispius @wdormann @witchescauldron And they scream at you for lying when you try to warn them. And again when they get screwed for not warning them.
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Remember the early days of Uber and Lyft, when rides were dirt cheap because the companies were operating at a loss in order to capture the minds/wallets of the masses?
The rug pull in the AI/LLM world when the companies adjust pricing to actually make a profit is going to be spectacular. Especially when you consider the numbers of people / orgs that are addicted to or dependent on such technology.
@wdormann same for cloud computing
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Remember the early days of Uber and Lyft, when rides were dirt cheap because the companies were operating at a loss in order to capture the minds/wallets of the masses?
The rug pull in the AI/LLM world when the companies adjust pricing to actually make a profit is going to be spectacular. Especially when you consider the numbers of people / orgs that are addicted to or dependent on such technology.
@wdormann what if it took 5 or 10 years maybe until there were cost-reflective pricing for llms?
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Companies and people don't care. They're looking at replacing people, especially at the junior level, but the junior simpler jobs are how people train up to be architects or experts. We're no longer giving them that chance.
The cost doesn't matter, as long as it's cheaper than a full time junior person being replaced.
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Remember the early days of Uber and Lyft, when rides were dirt cheap because the companies were operating at a loss in order to capture the minds/wallets of the masses?
The rug pull in the AI/LLM world when the companies adjust pricing to actually make a profit is going to be spectacular. Especially when you consider the numbers of people / orgs that are addicted to or dependent on such technology.
Is uber still operating at a loss?
Last I heard they have yet to turn a profit because they're trying to undercut all the competition
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E em0nm4stodon@infosec.exchange shared this topic
