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delusionaltoday at 7:37 AM4 repliesview on HN

> NASA spending has created a huge pile of technologies that we use day to day

We're a little too early to know if that's the case here too. I do foresee a chance at a reality where AI is a dead end, but after it we have a ton of cheap GPU compute lying about, which we all rush to somehow convert into useful compute (by emulating CPU's or translating traditional algorithms into GPU oriented ones or whatever).


Replies

TeMPOraLtoday at 9:31 AM

AI progress may fizzle out, but everything it produced so far would still be there. Models are just big bags of floats - once trained, they're around forever (well, at least until someone deletes them), same is true about harnesses they run in (it's just programs).

But AI proliferation is not stopping soon, because we've not picked up even the low hanging fruits just yet. Again, even if no new SOTA models were to be trained after today, there's years if not decades of R&D work into how to best use the ones we have - how to harness the big ones, where to embed the small ones, and of course, more fundamental exploration of the latent spaces and how they formed, to inform information sciences, cognitive sciences, and perhaps even philosophy.

And if that runs out or there is an Anti AI Revolution, we can still run those weather models and route planners on the chips once occupied by LLMs - just don't tell the proles that those too are AI, or it's guillotine o'clock again.

lukewarm707today at 10:52 AM

when ai is dead we can use all those gpus for zucc's metaverse xD s

PunchyHamstertoday at 8:48 AM

I think there is little chance it is a "dead end", it's here to stay but at least LLMs seem to have hit the diminishing returns curve already, despise what investors might think, and so far none of the big providers actually makes money for all that investment

m_muellertoday at 8:52 AM

e.g. the climate models that could be run on some of these systems would dwarve anything we’ve been able to do so far.