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The Argument for Letting AI Burn It All Down

Artificial IntelligenceMay 12, 2026
The Argument for Letting AI Burn It All Down
Suddenly, and not long ago, our dearest tech industry leaders began to suggest caution. Sam Altman said that AI is in a bubble “for sure,” albeit one formed around “a kernel of truth.” Mark Zuckerberg said an AI bubble “is quite possible,” though “if the models keep on growing in capability year over year and demand keeps growing, then maybe there is no collapse, or something.” Even Eric Schmidt is saying to calm down about artificial general intelligence and focus on competing with China.

I love normal technologies. They come with manuals. They change periodically, but you can build craft and professional skills around them. Bubble technologies change constantly, and there is always a threat that they will either destroy society (bad) or make everyone besides you wealthy (worse). There are many ways to forecast when a technology is becoming normal—price-to-earnings ratios and other boring stuff. The metric I use is the C/B ratio: conferences to blogging. If people are steadily attending conferences about a subject, it is not normal yet. If they’re mostly blogging about it, it is. I made this up, but I assure you it’s predictive.

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