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1:23:09EN
Cognitive Revolution "How AI Changes Everything"· 3 abr 2024PódcastThe Right Size of an AI Task Is Whatever You Can CheckPresenta: Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.RAG y conocimientoGeneración aumentada por recuperaciónSearch & retrieval+3
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 30 mar 2024PódcastSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysPresenta: Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.Modelos y entrenamientoAI researchTransformers & attention+3
1:29:21EN
Cognitive Revolution "How AI Changes Everything"· 21 mar 2024Pódcast2,700 AI Authors, No Consensus: Even Odds of HLMI in 2047, 5% ExtinctionPresenta: Nathan LabenzKatja Grace of AI Impacts walks Nathan Labenz through a survey of researchers who published in top venues in 2022—and why the field’s only real consensus is uncertainty plus more safety work.SeguridadAI researchAGI Timelines+3
5 diapositivas22:17EN
Matthew Berman· 21 mar 2024Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time computeModelos y entrenamientoAI research+2
7 diapositivas18:42EN
Matthew Berman· 20 mar 2024Robot Demonstrations in 2024: 1X, NVIDIA, Spot and BeyondMatthew Berman · Forward FutureMatthew Berman surveys humanoid, quadruped, drone and defense robotics, distinguishing company demonstrations from general-purpose autonomy.RoboticsReinforcement LearningAI research
52:06EN
Matthew Berman· 16 mar 2024Yann LeCun on World Models, Open AI and the Path to Advanced IntelligenceMatthew Berman, Yann Lecun, Lex Fridman · Forward FutureMatthew Berman reacts to excerpts from LeCun’s 2024 conversation with Lex Fridman, covering language models, JEPA, robotics, AI safety and economic incentives.World modelsAI researchOpen-weight models+2
7 diapositivas12:34EN
Matthew Berman· 14 mar 2024Figure 01 and the Path Toward More Capable RobotsMatthew Berman, Lex Fridman, Yann Lecun · Forward FutureMatthew Berman surveys humanoid and other robotics demonstrations, then shares Yann LeCun’s view on the work still needed for general-purpose robots.RoboticsWorld modelsHuman-AI Collaboration+2
2 diapositivas21:16EN
Matthew Berman· 9 mar 2024ArtPrompt: What a 2024 Study Found About Visual Text and Model SafetyMatthew Berman · Forward FutureMatthew Berman reviews an ASCII-art recognition benchmark and reports mixed results from his own informal tests.AI SafetySeguridadEvaluaciones+1
2:47:17EN
Lex Fridman· 7 mar 2024Pódcast · 2 vocesIf You Want Human-Level AI, Abandon Generative ModelsInvitado: Yann Lecun · Presenta: Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.Modelos y entrenamientoWorld modelsAGI+3
1:06:54EN
Cognitive Revolution "How AI Changes Everything"· 5 mar 2024PódcastGoogle Gives You 33 Million Results. Exa Wants 54.Presenta: Nathan LabenzWill Bryk, CEO of Exa, tells Nathan Labenz why search and research are different jobs, and why an AI librarian for the web has to be neural from the first filter.RAG y conocimientoSearch & retrievalGeneración aumentada por recuperación+3
7 diapositivas21:41EN
Matthew Berman· 28 feb 2024Google Genie and the Idea of Generated Interactive WorldsMatthew Berman · Forward FutureMatthew Berman explores early world-model research, generated media and simulated agents while imagining a future of personalized games.World modelsGenerative mediaRobotics+2
10 diapositivas30:39EN
Matthew Berman· 25 feb 2024NVIDIA’s GEAR Research, Gemini 1.5 and Fast AI InferenceMatthew Berman · Forward FutureMatthew Berman reviews embodied-agent research and a February 2024 set of AI releases and demonstrations.RoboticsAI researchBenchmarks+2
7 diapositivas15:56EN
Matthew Berman· 21 feb 2024Sora, World Models, and the Speculation Around Simulated RealityMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s early Sora videos and researchers’ ideas about learned physics, future games, and simulation theory.World modelsGenerative mediaSimulation Hypothesis+2
1:25:09EN
Cognitive Revolution "How AI Changes Everything"· 9 feb 2024PódcastTwo-Headed Worms, Regenerated Legs, and a Sort That Learned to WaitPresenta: Nathan LabenzTufts biologist Michael Levin tells Cognitive Revolution why anatomy is rewritable software, and why he stopped a paper that might have made AI more alive.AgentesNeuroscience & AIPhilosophy of Mind+3
4 diapositivas21:00EN
Matthew Berman· 23 ene 2024Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.RoboticsAgentesReinforcement Learning+2
2 diapositivas35:22EN
Matthew Berman· 3 ene 2024Matthew Berman’s Ten AI Predictions for 2024Matthew Berman, Mark Zuckerberg, Lex Fridman, Jaron Lanier, Joon Park, Elon Musk · Forward FutureAn early-2024 forecast covers model releases, robotics, agents, synthetic data and the risks of increasingly convincing bots.AI researchOpen-weight modelsRobotics+2
3:53:04EN
Cognitive Revolution "How AI Changes Everything"· 27 dic 2023PódcastHe Red-Teamed GPT-4 and Got Cut Off. The Control Gap Is Still OpeningPresenta: Nathan LabenzNathan Labenz tells Rob Wiblin how an early look at GPT-4, a thin red-team program, and a year of OpenAI's public safety moves reshaped his view of the AGI race.SeguridadSeguridad y gobernanzaAI security+3
2:30:06EN
Cognitive Revolution "How AI Changes Everything"· 22 dic 2023PódcastTrained on a Thirtieth of GPT-4's Tokens, Mamba Beat Transformers on Home TurfPresenta: Nathan LabenzIn a solo emergency episode, Nathan Labenz argues that Albert Gu and Tri Dao's selective state space model is the first architecture since 2017 that deserves to share the Transformer’s throne.Modelos y entrenamientoTransformers & attentionAI research+3
5 diapositivas19:37EN
Matthew Berman· 13 dic 2023How Rephrased Test Data Inflated a 13B Model’s Benchmark ScoresMatthew Berman · Forward FutureMatthew Berman examines a 2023 experiment showing how reworded benchmark questions can evade simple contamination checks and inflate model scores.BenchmarksEvaluacionesData quality & curation+2
1:28:07EN
Cognitive Revolution "How AI Changes Everything"· 7 dic 2023PódcastThe AIs We're Most Afraid Of Don't Exist Yet — So She's Studying Amoebas and Firm BoundariesPresenta: Nathan LabenzNora Ammann of PIBBSS argues that intelligent behavior may share principles across brains, cells, markets, and future AI — and that we need those other systems because we cannot trial-and-error the ones that would be too powerful to get wrong.SeguridadSeguridad y gobernanzaMulti-agent systems+3
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2 dic 2023PódcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Presenta: Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentesIngeniería de agentesReasoning & test-time compute+3
3 diapositivas35:16EN
Matthew Berman· 28 nov 2023What Was Known About Q* in 2023—and What Was SpeculationMatthew Berman, Sam Altman, Andrej Karpathy · Forward FutureMatthew Berman surveys rumors, reasoning papers and self-play analogies after OpenAI’s leadership crisis, with important limits on what was verified.AI researchReasoning & test-time computeOpenAI+2
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 17 nov 2023PódcastA Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.Presenta: Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.Modelos y entrenamientoAI researchFundamentos de ML+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2 nov 2023Pódcast · 2 vocesReliability is the bottleneck. Autonomy is what would make AI feel alive.Presenta: Sarah Guo, Elad GilIlya Sutskever talks with Sarah Guo and Elad Gil about AlexNet, OpenAI’s capped-profit bet, why smaller models mainly lose reliability, and the line he draws for digital life.Modelos y entrenamientoAGIScaling Laws+3
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