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Consistently Candid
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#18 Nathan Labenz on reinforcement learning, reasoning models, emergent misalignment & more

1 tim 46 min•2 mars 2025

A lot has happened in AI since the last time I spoke to Nathan Labenz of The Cognitive Revolution, so I invited him back on for a whistlestop tour of the most important developments we've seen over the last year!

We covered reasoning models, DeepSeek, the many spooky alignment failures we've observed in the last few months & much more!

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#20 Frances Lorenz on the emotional side of AI x-risk, being a woman in a male-dominated online space & more
•52 min
#19 Gabe Alfour on why AI alignment is hard, what it would mean to solve it & what ordinary people can do about existential risk
•1 tim 37 min
#17 Fun Theory with Noah Topper
•1 tim 26 min
#16 John Sherman on the psychological experience of learning about x-risk and AI safety messaging strategies
•53 min
#14 Buck Shlegeris on AI control
•49 min
#13 Aaron Bergman and Max Alexander debate the Very Repugnant Conclusion
•1 tim 54 min
#12 Deger Turan on all things forecasting
•54 min
#11 Katja Grace on the AI Impacts survey, the case for slowing down AI & arguments for and against x-risk
•1 tim 17 min
#10 Nathan Labenz on the current AI state-of-the-art, the Red Team in Public project, reasons for hope on AI x-risk & more
•1 tim 54 min
#9 Sneha Revanur on founding Encode Justice, California's SB-1047, and youth advocacy for safe AI development
•50 min

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