필터 결과
390개정렬
1:24:44EN
Matthew Berman· 2026년 2월 7일Forward Future Live: Portable AI Infrastructure, Software and Formal ProofMatthew Berman, Nick Wentz, Tim Davis, Joseph Floyd, Carina Hong · Forward FutureTim Davis, Joseph Floyd and Carina Hong join Matthew Berman and Nick Wentz for a February 2026 discussion.
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 1일팟캐스트125 million cells took a decade. The next billion takes months진행자 Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.
1:03:00EN
Unsupervised Learning: With Jacob Effron· 2026년 1월 29일팟캐스트A Model That Solves New Math Problems Every Week Still Isn't AGI진행자 Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
2:25:10ENCognitive Revolution "How AI Changes Everything"· 2026년 1월 22일팟캐스트Fine-Tuning Isn't Dead — But It Turned a Helpful Model Evil진행자 Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.
17:44ENMatthew Berman· 2026년 1월 17일Recursive Language Models: Extending Long-Input Work Beyond a Context WindowMatthew Berman · Forward FutureMatthew Berman examines an MIT research approach that lets language models inspect external text and make sub-calls, along with its benchmark and cost tradeoffs.
37:00EN
Sequoia Capital· 2026년 1월 14일팟캐스트The AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.
1:30ENMatthew Berman· 2026년 1월 12일An AI-Generated Proof for Erdős Problem 397Matthew Berman · Forward FutureMatthew Berman discusses Neel Somani's GPT-5.2 Pro-assisted proof and speculates about self-improving AI. Later research found that the problem already had a published human solution.
8:16ENMatthew Berman· 2026년 1월 12일AI and Erdős Problem 397: A Verified Proof, Prior Work and the Prospect of Self-ImprovementMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted mathematics and argues that algorithmic discoveries could accelerate AI development, while the history of problem 397 adds important context.
1:55:02ENCognitive Revolution "How AI Changes Everything"· 2026년 1월 4일팟캐스트An Index Fund on AGI: How MATS Filters the Next 120 AI Safety Researchers진행자 Nathan LabenzRyan Kidd, co-executive director of MATS, tells Nathan Labenz why he will not shout a timeline, why every safety technique is also a capabilities technique, and who actually gets hired.
1:18:15ENCognitive Revolution "How AI Changes Everything"· 2025년 12월 27일팟캐스트If AI Becomes a Being, Steering It Is Slavery진행자 Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.
1:18:03ZH
Zhang Xiaojun Podcast· 2025년 12월 24일팟캐스트 · 2명李广密：2025 年末的模型竞争、在线学习与 AI 创业게스트 李广密 · 진행자 张小珺从模型公司和算力竞争，到持续学习、机器人与全球创业，回看一位投资人在 2025 年末的判断。
1:55:39ENMatthew Berman· 2025년 12월 20일AI Infrastructure, Gemini and Prediction Markets: Forward Future LiveMatthew Berman, Nick Wentz, Doug O’Laughlin, Koray Kavukcuoglu, Logan Kilpatrick, Abhishek Fatehpuria · Forward FutureSemiAnalysis, Google DeepMind and Robinhood guests join Matthew Berman and Nick Wentz to discuss model speed, chip supply, research, safety and financial products.
1:58:48ENCognitive Revolution "How AI Changes Everything"· 2025년 12월 18일팟캐스트ARC Went from $1,000 a Task to Pocket Change. That Is Not a Normal Year of AI진행자 Nathan LabenzCognitive Revolution’s first live show compresses nine conversations into a year-end scan of denial, sample efficiency, companions, memory, Gemini 3 Flash, and scientific judgment.
1:18:05ENUnsupervised Learning: With Jacob Effron· 2025년 12월 18일팟캐스트The Real Bottleneck in AI Research Is Compute, Not Ideas진행자 Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.
1:04:50ENCognitive Revolution "How AI Changes Everything"· 2025년 11월 25일팟캐스트Useful AI Work Is Doubling Every Four Months. Schools Should Plan Accordingly.진행자 Nathan LabenzIn a keynote to K-12 educators, Cognitive Revolution host Nathan Labenz argued that task length, not chat quality, is the number that should reshape how schools think.
1:11:18ENCognitive Revolution "How AI Changes Everything"· 2025년 11월 12일팟캐스트He Got Bored Five Minutes Into a Waymo. Nathan Labenz Says That's the Point진행자 Nathan LabenzOn a crossover with the Existential Hope podcast, the Cognitive Revolution host argues that the scarcest resource in AI is a positive picture of daily life, not another doom scenario.
1:56ENMatthew Berman· 2025년 11월 10일Can a Language Model Detect an Injected Concept?Matthew Berman · Forward FutureMatthew Berman discusses an Anthropic experiment in which models sometimes report an artificial change to their internal activations.
2:07:36ENMatthew Berman· 2025년 11월 8일AI Agents, Video Creation and Chipmaking: Forward Future LiveMatthew Berman, Nick Wentz, Alex Mashrabov, Ben Goodger, João Moura, Jeff Koch · Forward FutureA November 2025 livestream brings together leaders from Higgsfield, OpenAI and CrewAI, plus a semiconductor analyst, to discuss AI products and infrastructure.
2:27:18ENCognitive Revolution "How AI Changes Everything"· 2025년 11월 5일팟캐스트Turn Down AI's Deception Knob, and It Starts Reporting Experience진행자 Nathan LabenzCameron Berg of AE Studio tells Nathan Labenz how suppressing deception features in Llama 3.3 70B pushed self-reports of subjective experience toward 100 percent.
1:43:26ZHZhang Xiaojun Podcast· 2025년 11월 3일팟캐스트 · 2명杨松琳：线性注意力、Kimi Linear 与高效架构的探索게스트 Songlin Yang（松琳） · 진행자 张小珺从 KDA、稀疏注意力到硬件优化，一位研究者梳理模型架构的演进和取舍。
59:03EN
20VC with Harry Stebbings· 2025년 11월 3일팟캐스트 · 2명Joelle Pineau on Scaling, Reinforcement Learning and Enterprise AI게스트 Joelle Pineau · 진행자 Harry StebbingsCohere’s chief AI officer discusses research uncertainty, agent security, synthetic data and the difference between benchmarks and useful work.
2:14:35ENMatthew Berman· 2025년 10월 25일Optical AI, Search Visibility and the Economics of the AI BoomMatthew Berman, Nick, Francesca Parmigiani, Alex Sherman, Matt Wolfe, Siqi Chen · Forward FutureA 2025 livestream examines Microsoft’s optical computing research, how AI changes marketing and shopping, and debates over superintelligence and AI investment.
13:40ENMatthew Berman· 2025년 10월 23일AI News in October 2025: Gemini Tools, M5 and a Quantum Echoes ExperimentMatthew Berman · Forward FutureMatthew Berman reviews an app-building demo, robot footage, model rumors, hardware claims, research debates and Meta’s AI reorganization.
8:42ENMatthew Berman· 2025년 10월 22일DeepSeek-OCR and the Idea of Visual Context CompressionMatthew Berman · Forward FutureMatthew Berman examines a 2025 OCR model and the possibility of representing document text with fewer vision tokens.더 보기390개 중 24개 표시