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The Noah Smith 🐇🇺🇸🇺🇦🇹🇼 Doom Debate has dropped!!! Noah Smith is a highly influential writer & economist who's not afraid to share bold takes like: 📝 Plentiful, high-paying jobs in the age of AI 📝 Godlike AI will tend toward friendliness A brilliant thinker and great debater, yet his...

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Liron Shapira

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13,682 Aufrufe • vor 6 Monaten •via X (Twitter)

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AI agents are getting so powerful, yet so friendly and compliant to their human masters… does that mean AI Doom is canceled?! In this 🆕 episode of Doom Debates, Dr. Steven Byrnes (AGI Safety Researcher, Harvard Physics Postdoc, fan favorite) returns to put the latest AI developments in context. Spoiler: Steven Byrnes and I are still expecting a qualitatively different breed of powerful sociopathic AI to emerge in the next few years and kill everyone :( We cover: ⬜ What's Your P(Doom)™ ⬜ “Brainlike AGI”: The next generation of AI ⬜ Will AI kill us before it takes our jobs? ⬜ The “country of geniuses in a data center” ⬜ Why we expect ruthless sociopathic ASI ⬜ Post-training & RLVR: a "thin layer" of consequentialism ⬜ The air travel vs. space travel analogy Highly recommended! 👇
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AI agents are getting so powerful, yet so friendly and compliant to their human masters… does that mean AI Doom is canceled?! In this 🆕 episode of Doom Debates, Dr. Steven Byrnes (AGI Safety Researcher, Harvard Physics Postdoc, fan favorite) returns to put the latest AI developments in context. Spoiler: Steven Byrnes and I are still expecting a qualitatively different breed of powerful sociopathic AI to emerge in the next few years and kill everyone :( We cover: ⬜ What's Your P(Doom)™ ⬜ “Brainlike AGI”: The next generation of AI ⬜ Will AI kill us before it takes our jobs? ⬜ The “country of geniuses in a data center” ⬜ Why we expect ruthless sociopathic ASI ⬜ Post-training & RLVR: a "thin layer" of consequentialism ⬜ The air travel vs. space travel analogy Highly recommended! 👇

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Stanford Prof. Michael Levitt (Michael Levitt) achieved something EXTREMELY rare & impressive: He came on my show as an AI “optimist”, listened to my doom argument, and updated his view in realtime!!! 🤯 Also, he won the 2013 Nobel Prize in computational biology. We had a great conversation, and I'm honored that Prof. Levitt is supportive of Doom Debates's dual mission — to raise awareness about imminent extinction risk from superintelligent AI, and to get closer to the truth by having good-faith debates. We covered these topics: ⬜ Prof. Levitt's background and Nobel research ⬜ The history of AI capability predictions ⬜ Measuring intelligence as a single dimension ⬜ Liron's AI doom argument: Steering the future ⬜ Optimism, pessimism, and other existential risks ⬜ What's Your P(Doom)?™ ⬜ Warning shots and global regulation ⬜ Comparing AI risk to pandemics and nuclear war ⬜ Prof. Levitt's unexpectedly swayed view Highly recommended!

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Doom Debates presents Max Tegmark vs. Dean W. Ball: “Should we ban superintelligent AI development?” Arguing FOR banning superintelligence until there's a scientific consensus that it'll be done safely and controllably and strong public buy-in: 👤 Max Tegmark is an MIT professor, bestselling author, and co-founder of the Future of Life Institute. His research has focused on artificial intelligence for the past 8 years. Arguing AGAINST banning superintelligent AI development: 👤 Dean Ball is a Senior Fellow at the Foundation for American Innovation. He has served as a Senior Policy Advisor at the White House Office of Science and Technology Policy under President Trump, where he helped craft America's AI Action Plan. Two of the leading voices on AI policy engaged in high-quality, high-stakes debate for the benefit of the public! *This* is why I got into the YouTube game — because I believe debate is an essential tool for humanity to reckon with the creation of superhuman thinking machines. Topics covered: ⬜ Opening statements ⬜ Do we need an “FDA for AI”? ⬜ Liability, tail risk, and biosecurity ⬜ Incremental regulation vs. AI capability timelines ⬜ Should there be *any* superintelligence policy? ⬜ Max's nightmare scenario ⬜ The risk of recursive self-improvement ⬜ What's Your P(Doom)?™ ⬜ National security, China, & “winning the AI race” ⬜ Closing statements
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