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Yohan Lee's avatar

One thing I keep turning over: you say the barriers are political, not technical. But the political barrier is that AI is people's prestige and livelihood—researchers, companies, whole national strategies are built on it. Where I'm studying, this is especially stark: the research culture rewards competing for position far more than asking whether the work should be done at all, and qualification often matters less than the race. So asking the field to set this down voluntarily seems to run into the very incentives that make the risk dangerous in the first place.

That's why I'm genuinely unsure which path is faster. Is organizing the public to reject AI more tractable than it looks, because those incentives only bind the insiders and not the public? Or does that same incentive problem make technical work—on regulation, verification, control—the more realistic near-term lever, even if you think "steering and hoping" is ultimately a losing bet?

And it's exactly that competition-over-qualification culture I'm trying to step outside of—which is why what I want from you is your insight, not just a place in the race. I'd really like to hear how you weigh the two paths.

rif a saurous's avatar

I appreciated hearing more from you! Thank you for all your posts.

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