絞り込み結果
9 件並び順
31:00EN
AI Explained· 2026年10月12日Why 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"· 2024年12月28日ポッドキャストLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI Firstホスト 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"· 2024年11月30日ポッドキャストPreferences Are Data. The Alignment Target Is Norms.ホスト 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"· 2024年10月5日ポッドキャストBCI Would Take 30 Years. This Studio Pivoted to Alignment Insteadホスト Nathan LabenzJudd Rosenblatt and Mike Vaiana of AE Studio describe two biologically inspired results that do not need interpretability breakthroughs to work.
2:15:39EN
Lex Fridman· 2024年6月2日ポッドキャスト · 2 人Roman Yampolskiy Puts Superintelligent Ruin at 99.99 Percentゲスト Roman Yampolskiy · ホスト 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· 2023年3月30日ポッドキャスト · 2 人Whoops is the sound of getting less wrong: Yudkowsky, two weeks after GPT-4ゲスト Eliezer Yudkowsky · ホスト 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.
1:23:56EN
Unsupervised Learning: With Jacob EffronポッドキャストA Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in Controlホスト 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.
11:41ENLex Fridmanポッドキャスト · 2 人Teaching Machines Humility: Stuart Russell on Escaping the King Midas Problemゲスト Stuart Russell · ホスト Lex FridmanIn a short clip from a 2018 conversation, Berkeley's Stuart Russell explains why fixed objectives make superintelligent AI dangerous and why uncertainty about our goals is the fix.
1:55:04ENLex Fridmanポッドキャスト · 2 人Mining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Doゲスト Stephen Wolfram · ホスト 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.