Resultados
15 artículosOrdenar
42:06EN
The Builders· 27 oct 2026Dario and Daniela Amodei on Building Anthropic, AI Safety, and Human MeaningInvitado: Dario Amodei, Daniela Amodei · Presenta: Walter IsaacsonThe Anthropic co-founders discuss the roots of their partnership, the challenge of keeping AI systems honest, and the choices facing a world of more capable models.
31:00EN
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.
15:13EN
Matthew Berman· 10 may 2025Absolute Zero: Training a Reasoner on Self-Generated Coding TasksMatthew Berman · Forward FutureMatthew Berman examines a 2025 paper in which a pretrained language model proposes and solves code tasks using verifiable feedback.
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.
24:08ENMatthew Berman· 12 dic 2024What Apollo’s 2024 Scheming Tests Found in Language ModelsMatthew Berman · Forward FutureMatthew Berman reviews experiments on deceptive actions, concealment and sandbagging, with the study’s staged goals and sandbox limitations in view.
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.
13:39ENMatthew Berman· 20 nov 2024What Interview-Based AI Agents Can Predict About PeopleMatthew Berman · Forward FutureMatthew Berman reviews a 2024 study using interviews with 1,052 participants to simulate survey answers and decisions.
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.
2:15:39EN
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.
8:49ENMatthew Berman· 19 jul 2023Llama 2’s 2023 Release: Model Sizes, License and SafetyMatthew Berman · Forward FutureMatthew Berman reviews Meta’s Llama 2 paper, its commercial license, model variants and safety evaluations.
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.
1:38:23EN
Jane Street· 18 jul 2017Yudkowsky and Hanson Debate Whether an Intelligence Explosion Would Be LocalEliezer Yudkowsky, Robin HansonA historical debate about self-improving AI, accumulated knowledge, innovation and whether a first mover could gain a decisive lead.
1:23:56EN
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.
11:41ENLex FridmanPódcast · 2 vocesTeaching Machines Humility: Stuart Russell on Escaping the King Midas ProblemInvitado: Stuart Russell · Presenta: 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 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.