
“We need a better theory of polarization, because it’s failing to predict the AI debate” by less_raichu
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The punchline first: the AI issue is really not playing out the way you would expect if you know about polarization.
- In public sentiment: data centers have been a very bipartisan issue for about a year (Gallup, in May: 75% opposed by D, 63% opposed by R). x-risk is thus far bipartisan. These are very salient issues, and salient issues are usually fast to polarize.
- Legislatively, both the both-party sponsored AI Kill Switch Act and Bernie Sanders' Stop Superintelligence Act give Trump enormous new powers. The latter act gives Trump a new cabinet post. This would be unheard of before this year and it's fully incompatible with the "Resistance Democrats" bloc's priorities.
- Flock camera backlash has also become bipartisan (politico, August), which also is surprising given prior knowledge of polarization. I bring this up, because to me, they "feel" related as new technology being imposed on people, and it suggests broader issues than just AI may be defying polarization.
And now I break down why this is a big deal.
Definitionally, polarization is subtyped as:
- Affective polarization: the left and right generally, emotionally, dislike each other. Words like enmity, suspicion, contempt, immoral, or simply hate, are used.
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Outline:
(03:19) The hypothesis AI just hasn't polarized yet is wrong and dangerous
(04:58) Why AI is different
(05:19) Object-level convergence on AI fear, from all sides
(06:21) If Trump loses the middle, a lot of fundamental assumptions about Trump-era politics change
(08:16) Bonus: Angry Birds Congress
(08:45) Aside on efficacy of ultra-partisan tactics
(09:35) Elites are anti-polarizing
(10:00) Polarization might start with cross-partisan industry skepticism
(12:14) Honorable mention: "What about China?"
The original text contained 4 footnotes which were omitted from this narration.
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First published:
September 25th, 2026---
Narrated by TYPE III AUDIO.
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