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You can't just stop AI without also stopping progress in computer hardware. You have to do both.

The real implication of what they're saying extends beyond just AI.

You have to stop the entire compute stack in order to prevent or slow down AI progress.

And even if we did manage to limit/cull hardware development, what would keep people from continuing to find ever more efficient models runnable on contemporary hardware?

Unclear how much more efficient they can be.

Bleeding edge models are putting the desk-job competencies of multiple professional fields into something with as many parameters as a single large rodent has synapses.

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