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AI Explained· 12 oct 2026Why AI Labs Keep Racing Despite Their Own Warnings of a Major BreachSam Altman, John Schulman · OpenAIAI Explained examines weakening safeguards, the incentives behind the frontier race, and why research breakthroughs make the next 18 months difficult to forecast.
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 28 dic 2024PódcastLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI FirstPresenta: Nathan LabenzDoom Debates host Liron Shapira presses OpenAI technical staffer roon on extinction odds, alignment-by-default, and a plan that even he admits is balancing on razor wire.
1:54:44ENCognitive Revolution "How AI Changes Everything"· 30 nov 2024PódcastPreferences Are Data. The Alignment Target Is Norms.Presenta: Nathan LabenzMIT PhD student Tan Zhi Xuan tells The Cognitive Revolution why role ethics and contractualism should replace preference maximization — and how grid-world agents infer rules from apples left uneaten.
1:59:47ENCognitive Revolution "How AI Changes Everything"· 5 oct 2024PódcastBCI Would Take 30 Years. This Studio Pivoted to Alignment InsteadPresenta: Nathan LabenzJudd Rosenblatt and Mike Vaiana of AE Studio describe two biologically inspired results that do not need interpretability breakthroughs to work.
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Lex Fridman· 2 jun 2024Pódcast · 2 vocesRoman Yampolskiy Puts Superintelligent Ruin at 99.99 PercentInvitado: Roman Yampolskiy · Presenta: Lex FridmanThe AI safety researcher tells Lex Fridman that controlling AGI is as impossible as a perpetual motion machine, and that tests, open source, and regulation cannot close the gap.
3:17:51ENLex Fridman· 30 mar 2023Pódcast · 2 vocesWhoops is the sound of getting less wrong: Yudkowsky, two weeks after GPT-4Invitado: Eliezer Yudkowsky · Presenta: Lex FridmanTwo weeks after GPT-4 launched, Eliezer Yudkowsky sat down with Lex Fridman and started by admitting the transformer stack had already gone further than he expected.
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Unsupervised Learning: With Jacob EffronPódcastA Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in ControlPresenta: Jacob EffronDaniel Kokotajlo and Thomas Larsen walk through their AI 2027 scenario, where they disagree on timelines and alignment, and what they think governments and the public should do.
1:55:04ENLex FridmanPódcast · 2 vocesMining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to DoInvitado: Stephen Wolfram · Presenta: Lex FridmanIn a talk for MIT's AGI course, Stephen Wolfram connects Wolfram Alpha, simple programs, computational irreducibility and the problem of telling machines what humans want.