#14 Buck Shlegeris on AI control

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Buck Shlegeris is the CEO of Redwood Research, a non-profit working to reduce risks from powerful AI. We discussed Redwood's research into AI control, why we shouldn't feel confident that witnessing an AI escape attempt would persuade labs to undeploy dangerous models, lessons from the vetoing of SB1047, the importance of lab security and more.

Posts discussed:

The case for ensuring that powerful AIs are controlled
Would catching your AIs trying to escape convince AI developers to slow down or undeploy?
You can, in fact, bamboozle an unaligned AI into sparing your life

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

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

#19 Gabe Alfour on why AI alignment is hard, what it would mean to solve it & what ordinary people can do about existential risk

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

#17 Fun Theory with Noah Topper

#16 John Sherman on the psychological experience of learning about x-risk and AI safety messaging strategies

#13 Aaron Bergman and Max Alexander debate the Very Repugnant Conclusion

#12 Deger Turan on all things forecasting

#11 Katja Grace on the AI Impacts survey, the case for slowing down AI & arguments for and against x-risk

#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