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Consistently Candid
Consistently Candid

#8 Nathan Young on forecasting, AI risk & regulation, and how not to lose your mind on Twitter

1 tim 28 min•21 april 2024

Om avsnittet

Nathan Young is a forecaster, software developer and tentative AI optimist. In this episode, we discussed how Nathan approaches forecasting, why his p(doom) is 2-9%, whether we should pause AGI research, and more!

Follow Nathan on Twitter: Nathan 🔍 (@NathanpmYoung) / X (twitter.com)

Nathan's substack: Predictive Text | Nathan Young | Substack

My Twitter: sarah ⏸️ (@littIeramblings) / X (twitter.com) 

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#21 Steven Adler on scruntising AI company safety practices & pacing the frontier

1 tim 5 min

#20 Frances Lorenz on the emotional side of AI x-risk, being a woman in a male-dominated online space & more

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#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

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

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#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

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#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

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