[TeMPOraL]

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.

[delusional]

> 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.

I think my sense of "dead end" would entail none of those directions panning out into anything interesting. You would "explore the latent spaces" only to find nothing of value. Embedding the LLM models wouldn't end up doing anything useful for whatever reason, and philosophy would continue on without any change.