Ergebnisse
226 ArtikelSortieren
1:08:02EN
Sequoia Capital· 13. Okt. 2026PodcastAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.
31:00EN
AI Explained· 12. Okt. 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.
2:00:51EN
Cognitive Revolution "How AI Changes Everything"· 10. Okt. 2026PodcastResample Every Token and You Can Watch the Model DecideModeration: Nathan LabenzGoodfire's Eric Bigelow on forking paths, in-context learning, and why chain-of-thought monitoring is getting harder to trust.
1:30:54ENCognitive Revolution "How AI Changes Everything"· 3. Okt. 2026PodcastHumanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2Moderation: Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.
2:13:27ENCognitive Revolution "How AI Changes Everything"· 29. Sept. 2026PodcastHe Wrote a Book to Stop the AI Race — Then Almost Got Addicted to ClaudeModeration: Nathan LabenzJournalist Garrison Lovely takes the AGI labs at their word, rejects the bubble story, and argues for freezing the frontier until the public actually consents.
51:55EN
3Blue1Brown· 18. Sept. 2026The last IMO problem AI could not solveGrant Sanderson · 3Blue1BrownGrant Sanderson walks through IMO 2025 Problem 6 — a tiling puzzle that frontier models missed — and the visual patience it takes to prove a construction is optimal.
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 18. Sept. 2026Podcast · 2 StimmenDiffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom SiliconModeration: Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.
2:10:42ENCognitive Revolution "How AI Changes Everything"· 28. Aug. 2026PodcastThe Exam Papers Nobody AuditsModeration: Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.
2:13:09ENCognitive Revolution "How AI Changes Everything"· 26. Aug. 2026PodcastOne Chain of Thought, 100 Million Tokens: RL Is a Hell of a DrugModeration: Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
53:44ENSequoia Capital· 18. Aug. 2026PodcastThe Biggest Bug in Today’s Models Is That the Weights Never ChangeTuring Award winner Rich Sutton and Khurram Javed founded Oak Lab to build agents that keep learning after they ship — and they call synthetic data a big mistake.
3:36:13EN
Zhang Xiaojun Podcast· 13. Aug. 2026Podcast · 2 StimmenNVIDIA’s Ming-Yu Liu on Cosmos, Physical AI, and Creating New MarketsGast: Ming-Yu Liu · Moderation: 张小珺NVIDIA research VP Ming-Yu Liu explains how a decade of generative-model research led to Cosmos 3, a world foundation model for Physical AI. He also shares what he learned from Jensen Huang about long-term bets, teamwork, and building markets instead of fighting over existing ones.
2:16:29ENCognitive Revolution "How AI Changes Everything"· 2. Aug. 2026PodcastFrom Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI SafetyModeration: Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.
49:12ENSequoia Capital· 29. Juli 2026PodcastThe People Writing the Transformer’s Eulogy Want a Lab That Can Take Vacation Without Themo1’s reasoning lead and a Gemini pre-training lead argue the architecture, not more scale, is now the bottleneck — and that replacing it starts with automating kernel generation.
2:59:03ENZhang Xiaojun Podcast· 28. Juli 2026Podcast · 2 StimmenYou Kaichao on How vLLM Grew from Open-Source Project to AI Infrastructure CompanyGast: You Kaichao · Moderation: 张小珺Inferact co-founder You Kaichao traces vLLM’s path from Berkeley research to a company, then explains why model, inference, hardware and agent design increasingly have to move together.
3:46:12ENZhang Xiaojun Podcast· 16. Juli 2026Podcast · 2 StimmenKay Ke on Physical Intelligence, Robot Learning, and the Future of RoboticsGast: Kay Ke · Moderation: 张小珺Physical Intelligence researcher Kay Ke traces the field's research lineages and explains Pi's progression from π₀ to π*₀.₆. She also reflects on education, fiction, ambition, and what it means to build robots that work beyond a demo.
50:57EN
Unsupervised Learning: With Jacob Effron· 9. Juli 2026PodcastA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberModeration: Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.
1:57:46ENCognitive Revolution "How AI Changes Everything"· 27. Juni 2026Podcast30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is BecomingModeration: Nathan LabenzA Cognitive Revolution weekly cut that starts inside the model with Cameron Berg, then zooms out through gradual disempowerment, Europe’s bind, and the companies rebuilding around agents.
36:19ENNo Priors: AI, Machine Learning, Tech, & Startups· 26. Juni 2026Podcast · 2 StimmenThe Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score ModelsModeration: Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.
1:44:28ENCognitive Revolution "How AI Changes Everything"· 13. Juni 2026PodcastFable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed overModeration: Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.
1:22:36ENCognitive Revolution "How AI Changes Everything"· 6. Juni 2026PodcastA Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the BrakesModeration: Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.
1:13:33ENUnsupervised Learning: With Jacob Effron· 3. Juni 2026PodcastA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissModeration: Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.
1:41:58ENCognitive Revolution "How AI Changes Everything"· 26. Mai 2026PodcastA thousand people on guard, a million in the sprintModeration: Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.
1:21:56ENUnsupervised Learning: With Jacob Effron· 15. Mai 2026PodcastYann LeCun Left Meta Because LLMs Will Not Get You to IntelligenceModeration: Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.
3:36:29ENCognitive Revolution "How AI Changes Everything"· 23. Apr. 2026PodcastClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed NeutralModeration: Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.Mehr laden24 von 226 angezeigt