EPISODE · Feb 16, 2026 · 1H 11M
Ep66 Apocalyptic Eschatology
from NET Society · host NET Society
This week on Net Society, we’re joined by special guest Jeremy Nixon to dig into what today’s AI boom actually is and what it is not. The conversation opens with Jeremy’s path through early autonomy and self-driving, and why that era made it impossible to dismiss machine intelligence as hype. From there, the group zooms out into bigger questions about intelligence itself, contrasting “alien” intelligence with collective intelligence, and treating LLMs less like minds and more like powerful simulators. The episode then moves into creativity, measurement, and the real constraint on progress, which is not generating ideas but selecting and validating them. In the second half, the discussion turns to how LLMs were built, why major labs and incumbents made different bets, and what that says about institutional risk and ambition. The episode closes with a sharp look at AI apocalypse culture, the moral frameworks that grew around it, and how open models, game theory, and product reality collide with the temptation to turn AI into a new kind of religion.Mentioned in the episodeSpecial Guest Jeremy Nixon https://x.com/JvNixonAGI House https://x.com/agihousesfThiel on Progress and Stagnation https://www.lesswrong.com/posts/Xqcorq5EyJBpZcCrN/thiel-on-progress-and-stagnationShow & HostsNet Society: https://x.com/net__societyAaron Wright: https://x.com/awrigh01Chris F: https://x.com/ChrisF_0xDerek Edwards: https://x.com/derekedwsPriyanka Desai: https://x.com/pridesaiProduction & MarketingEditor: https://x.com/0xFnklSocial: https://x.com/v_kirra
What this episode covers
This week on Net Society, we’re joined by special guest Jeremy Nixon to dig into what today’s AI boom actually is and what it is not. The conversation opens with Jeremy’s path through early autonomy and self-driving, and why that era made it impossible to dismiss machine intelligence as hype. From there, the group zooms out into bigger questions about intelligence itself, contrasting “alien” intelligence with collective intelligence, and treating LLMs less like minds and more like powerful simulators. The episode then moves into creativity, measurement, and the real constraint on progress, which is not generating ideas but selecting and validating them. In the second half, the discussion turns to how LLMs were built, why major labs and incumbents made different bets, and what that says about institutional risk and ambition. The episode closes with a sharp look at AI apocalypse culture, the moral frameworks that grew around it, and how open models, game theory, and product reality collide with the temptation to turn AI into a new kind of religion.Mentioned in the episodeSpecial Guest Jeremy Nixon https://x.com/JvNixonAGI House https://x.com/agihousesfThiel on Progress and Stagnation https://www.lesswrong.com/posts/Xqcorq5EyJBpZcCrN/thiel-on-progress-and-stagnationShow & HostsNet Society: https://x.com/net__societyAaron Wright: https://x.com/awrigh01Chris F: https://x.com/ChrisF_0xDerek Edwards: https://x.com/derekedwsPriyanka Desai: https://x.com/pridesaiProduction & MarketingEditor: https://x.com/0xFnklSocial: https://x.com/v_kirra
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Ep66 Apocalyptic Eschatology
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