최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

필터 결과

397개
정렬
1:23:09EN
Cognitive Revolution "How AI Changes Everything"· 2024년 4월 3일팟캐스트The Right Size of an AI Task Is Whatever You Can Check진행자 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.RAG와 지식검색 증강 생성(RAG)Search & retrieval+3
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 30일팟캐스트Seeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 Days진행자 Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.모델과 학습AI researchTransformers & attention+3
1:29:21EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 21일팟캐스트2,700 AI Authors, No Consensus: Even Odds of HLMI in 2047, 5% Extinction진행자 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.보안과 안전AI researchAGI Timelines+3
슬라이드 5장22:17EN
Matthew Berman· 2024년 3월 21일Q* 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 compute모델과 학습AI research+2
슬라이드 7장18:42EN
Matthew Berman· 2024년 3월 20일Robot 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· 2024년 3월 16일Yann 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
슬라이드 7장12:34EN
Matthew Berman· 2024년 3월 14일Figure 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
슬라이드 2장21:16EN
Matthew Berman· 2024년 3월 9일ArtPrompt: 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 Safety보안과 안전평가(Evals)+1
2:47:17EN
Lex Fridman· 2024년 3월 7일팟캐스트 · 2명If You Want Human-Level AI, Abandon Generative Models게스트 Yann Lecun · 진행자 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.모델과 학습World modelsAGI(범용 인공지능)+3
1:06:54EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 5일팟캐스트Google Gives You 33 Million Results. Exa Wants 54.진행자 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.RAG와 지식Search & retrieval검색 증강 생성(RAG)+3
슬라이드 7장21:41EN
Matthew Berman· 2024년 2월 28일Google 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
슬라이드 10장30:39EN
Matthew Berman· 2024년 2월 25일NVIDIA’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
슬라이드 7장15:56EN
Matthew Berman· 2024년 2월 21일Sora, 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"· 2024년 2월 9일팟캐스트Two-Headed Worms, Regenerated Legs, and a Sort That Learned to Wait진행자 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.에이전트Neuroscience & AIPhilosophy of Mind+3
슬라이드 4장21:00EN
Matthew Berman· 2024년 1월 23일Jim 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.Robotics에이전트Reinforcement Learning+2
슬라이드 2장35:22EN
Matthew Berman· 2024년 1월 3일Matthew 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"· 2023년 12월 27일팟캐스트He Red-Teamed GPT-4 and Got Cut Off. The Control Gap Is Still Opening진행자 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.보안과 안전안전과 거버넌스AI security+3
2:30:06EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 22일팟캐스트Trained on a Thirtieth of GPT-4's Tokens, Mamba Beat Transformers on Home Turf진행자 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.모델과 학습Transformers & attentionAI research+3
슬라이드 5장19:37EN
Matthew Berman· 2023년 12월 13일How 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.Benchmarks평가(Evals)Data quality & curation+2
1:28:07EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 7일팟캐스트The AIs We're Most Afraid Of Don't Exist Yet — So She's Studying Amoebas and Firm Boundaries진행자 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.보안과 안전안전과 거버넌스Multi-agent systems+3
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 2일팟캐스트If Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%진행자 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.에이전트에이전트 엔지니어링Reasoning & test-time compute+3
슬라이드 3장35:16EN
Matthew Berman· 2023년 11월 28일What 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"· 2023년 11월 17일팟캐스트A Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.진행자 Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.모델과 학습AI research머신러닝 기초+3
41:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 11월 2일팟캐스트 · 2명Reliability is the bottleneck. Autonomy is what would make AI feel alive.진행자 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.모델과 학습AGI(범용 인공지능)Scaling Laws+3
더 보기397개 중 24개 표시