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

Consistently Candid
02/03/2025 1h 46min
#18 Nathan Labenz on reinforcement learning, reasoning models, emergent misalignment & more

Listen "#18 Nathan Labenz on reinforcement learning, reasoning models, emergent misalignment & more"

Descargar episodio

Episode Synopsis

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!Follow Nathan on TwitterListen to The Cognitive Revolution My Twitter & Substack 

More episodes of the podcast Consistently Candid

#20 Frances Lorenz on the emotional side of AI x-risk, being a woman in a male-dominated online space & more 14/05/2025
#19 Gabe Alfour on why AI alignment is hard, what it would mean to solve it & what ordinary people can do about existential risk 13/04/2025
#17 Fun Theory with Noah Topper 08/11/2024
#16 John Sherman on the psychological experience of learning about x-risk and AI safety messaging strategies 30/10/2024
#14 Buck Shlegeris on AI control 16/10/2024
#13 Aaron Bergman and Max Alexander debate the Very Repugnant Conclusion 08/09/2024
#12 Deger Turan on all things forecasting 21/08/2024
#11 Katja Grace on the AI Impacts survey, the case for slowing down AI & arguments for and against x-risk 20/06/2024
#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 09/06/2024
#9 Sneha Revanur on founding Encode Justice, California's SB-1047, and youth advocacy for safe AI development 15/05/2024
© 2003-2026 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA