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moezd a day ago

When manufacturing turned into electrified factories and conveyor belts, there wasn't waves of massive layoffs. And AI these days come nowhere near close to conveyor belts or electrification at scale at all. Debt cycles could fund it to a certain scale, but we don't know our priorities either: Do you fund hyperscalers? Do you fund ex-crypto miner co-location data centers? Do you fund centralized frontier model labs? Do you let everyone be able to deploy these models on any throwaway hardware? What is the best standard for model distribution?

We are so far off from these discussions that AI hype these days really sounds like a couple of frat bros BSing and not knowing what to do with their Ivy League credentials and inheritance money.

delichon a day ago | parent [-]

> When manufacturing turned into electrified factories and conveyor belts, there wasn't waves of massive layoffs. And AI these days come nowhere near close to conveyor belts or electrification at scale at all.

Nowhere near close, but on the high side. AI has propagated far faster, and is being adopted by a far greater proportion of businesses and individuals than electricity or conveyor belts at a similar age. AI is scaling faster than any tech in history. Exploding may be a better word choice.

slopinthebag a day ago | parent [-]

Is this not because of the internet and existing infrastructure which didn’t exist during that time?

a day ago | parent | next [-]
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danaris 21 hours ago | parent | prev | next [-]

It's because the people making it are marketing it aggressively to other CEOs as the way they can eliminate their salary budgets and pocket them as profit, and drumming up FOMO among them so each feels that if they don't hop on the bandwagon they're going to be left in the dust by all the others.

SpicyLemonZest a day ago | parent | prev [-]

Sure, but that doesn’t by itself mean it can’t be a problem. Maybe the macro scale effects were mitigated by a slow rollout and electrification would have caused an unemployment wave if everyone had done it at once.