筛选结果
9 篇排序
31:00EN → 简体中文
AI Explained· 2026年10月12日为什么 AI 实验室自己警告会出重大事故，却还在继续竞赛Sam Altman, John Schulman · OpenAIAI Explained 梳理正在变弱的安全防护、前沿竞赛背后的激励，以及研究突破为何让未来 18 个月更难预测。
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月28日播客Less Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI First主持 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.
1:54:44EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2024年11月30日播客偏好只是数据，对齐的目标是规范主持 Nathan LabenzMIT 博士生 Tan Zhi Xuan 在 The Cognitive Revolution 节目中谈到，角色伦理与契约主义为什么应当取代偏好最大化，并讲到网格世界里的智能体（Agent）如何从没吃完的苹果中推断出规则。
1:59:47ENCognitive Revolution "How AI Changes Everything"· 2024年10月5日播客BCI Would Take 30 Years. This Studio Pivoted to Alignment Instead主持 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 → 简体中文
Lex Fridman· 2024年6月2日播客 · 2 人对谈Roman Yampolskiy 认为超级智能导致毁灭的概率是 99.99%嘉宾 Roman Yampolskiy · 主持 Lex Fridman这位 AI 安全研究者告诉 Lex Fridman，控制通用人工智能（AGI）和制造永动机一样不可能；测试、开源（open source）与监管，都填补不了这道鸿沟。
3:17:51ENLex Fridman· 2023年3月30日播客 · 2 人对谈Whoops is the sound of getting less wrong: Yudkowsky, two weeks after GPT-4嘉宾 Eliezer Yudkowsky · 主持 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播客A Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in Control主持 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播客 · 2 人对谈Teaching Machines Humility: Stuart Russell on Escaping the King Midas Problem嘉宾 Stuart Russell · 主持 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播客 · 2 人对谈Mining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Do嘉宾 Stephen Wolfram · 主持 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.