Chaînes mises à jour récemment

Choisissez-en une pour ne voir qu’elleToutes les chaînes →

Derniers articles

4 225 articles
Trier
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 3 janv. 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oAnime : Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.Multimodal et médiasMultimodal AIVision et vidéo+3
2 diapositives30:29EN
Matthew Berman· 3 janv. 2025How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement LearningModèles et entraînementAI research+1
1:01:30EN
Matthew Berman· 31 déc. 2024AutoGen and AG2: Chi Wang and Qingyun Wu on Building Multi-Agent SystemsMatthew Berman, Chi Wang, Qingyun Wu · Forward FutureThe AutoGen creators trace their open-source journey and explain how they approach agent workflows, human oversight and the move to AG2.Multi-agent systemsIngénierie d’agentsAgent orchestration+2
1:27:13ZH
Zhang Xiaojun Podcast· 29 déc. 2024Podcast · 2 voix李想:汽车将从交通工具进化为空间机器人Invité : 李想 · Anime : 张小珺理想汽车 CEO 李想谈公司为何从造车走向人工智能:基座模型是 AI 时代的操作系统,汽车是进入物理世界的重要载体。对他而言,技术路线最终要落实为更好的用户体验、能力与长期价值。AI StrategyProduct StrategyAutonomous Driving+2
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 28 déc. 2024PodcastLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI FirstAnime : 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.SécuritéSécurité et gouvernanceAGI Timelines+3
5 diapositives19:06EN
Matthew Berman· 28 déc. 2024Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.Ingénierie d’agentsAgentsÉvaluations+1
5 diapositives13:39EN
Matthew Berman· 27 déc. 2024Demis Hassabis on Digital Biology, AlphaFold and the Limits of Classical ComputingMatthew Berman, Demis Hassabis · Forward FutureMatthew Berman reviews Hassabis’s Nobel lecture on protein structure, AI-driven discovery and a speculative question about what classical learning algorithms can model.Computational BiologyAI for scienceDrug Discovery+2
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 26 déc. 2024Podcast · 2 voixAfter adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerAnime : Sarah Guo, Elad GilSarah Guo and Elad Gil clip their favorite 2024 No Priors conversations into a year-end reel of NVIDIA, Karpathy, Sierra, Sora, Waymo, Figma, and Scale.Entreprise et stratégieAI StrategyInfrastructure et déploiement+3
1:49EN
3Blue1Brown· 26 déc. 2024Why Two Slits Create Bright and Dark Interference FringesA short wave model explains why adding a second path can darken some points on a screen.Physics
2:11:15EN
Cognitive Revolution "How AI Changes Everything"· 25 déc. 2024PodcastA 50% Chance of Extinction — and a $50 GPT-4 for EveryoneAnime : Nathan LabenzEmad Mostaque tells Nathan Labenz why he puts p(doom) at even odds, why a five-watt model changes the energy debate, and how the Intelligent Internet would fund universal basic AI with a Bitcoin-like token.Entreprise et stratégieSécurité et gouvernanceExistential Risk+3
6 diapositives21:02EN
Matthew Berman· 24 déc. 2024Reactions to OpenAI’s 2024 o3 Preview: Benchmarks, Cost and LimitsMatthew Berman · Forward FutureMatthew Berman surveys the responses to the o3 preview, from mathematical benchmarks to debates about AGI, compute and reliability.BenchmarksReasoning & test-time computeAGI+2
3:26:39EN
Lex Fridman· 22 déc. 2024Podcast · 2 voixThe Pessimism Line: Why Earth Is Almost Certainly Not the First CivilizationInvité : Adam Frank · Anime : Lex FridmanAstrophysicist Adam Frank talks with Lex Fridman about habitable worlds, the Fermi paradox, technosignatures, and why science cannot ignore experience.AstrobiologyScience CommunicationEvolution+2
1:32:14ZH
Zhang Xiaojun Podcast· 22 déc. 2024Podcast · 2 voix李广密:AI 任务引擎、模型竞争与 2025 年的 Agent 预测Invité : 李广密 · Anime : 张小珺在 2024 年末,李广密与张小珺讨论 AI 如何改变搜索、编程和软件,以及模型公司面临的竞争与数据约束。AI StrategyAI agentsAgents de code+2
3 diapositives14:15EN
Matthew Berman· 21 déc. 2024Anthropic’s Alignment Faking Study: What the Experiments Actually ShowMatthew Berman · Forward FutureMatthew Berman examines a 2024 study of models responding differently when they believe their answers will be used for training.AI AlignmentAI SafetyAI research+1
1:46:41EN
Cognitive Revolution "How AI Changes Everything"· 21 déc. 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DAnime : Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.Évaluations et observabilitéÉvaluationsBenchmarks+3
1:10:55EN
20VC with Harry Stebbings· 20 déc. 2024Podcast · 2 voixMatt Plank on Building Rippling’s Sales Organization and Scaling OutboundInvité : Matt Plank · Anime : Harry StebbingsThe Rippling CRO explains how his team plans capacity, works with marketing, prices deals and adapts its sales model as the product portfolio grows.SalesCompany BuildingLeadership+1
6 diapositives26:23EN
Matthew Berman· 20 déc. 2024OpenAI’s o3 Announcement: Benchmark Gains and the Question of AGIMatthew Berman, Sam Altman, Mark Chen, Greg Kamradt, Hongyu Ren · Forward FutureMatthew Berman reviews the December 2024 o3 and o3-mini announcement, including coding, math and ARC-AGI results. He calls the results evidence of AGI, a conclusion the benchmarks alone cannot establish.OpenAIBenchmarksReasoning & test-time compute+2
5 diapositives12:43EN
Jane Street· 20 déc. 2024How OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.Software engineeringProgramming Languages
3 diapositives9:00EN
Matthew Berman· 20 déc. 2024Best-of-N Jailbreaking: What Repeated Prompt Variations Revealed in 2024Matthew Berman · Forward FutureMatthew Berman reviews research on how repeated input variations can expose safety failures in text, vision and audio models.Agent red teamingAI SafetyMultimodal AI+2
2:10EN
Matthew Berman· 19 déc. 2024Five Enterprise AI Predictions for 2025Matthew Berman · Forward FutureMatthew Berman summarizes an Informatica executive’s late-2024 outlook on agents, regulation, workforce skills, return on investment and security.IA en entrepriseAI agentsAI Regulation+2
8 diapositives13:31EN
Matthew Berman· 19 déc. 2024Google Veo 2: Cinematic Controls, Realistic Scenes and Motion LimitsMatthew Berman · Forward FutureMatthew Berman reviews Google’s 2024 video-generation examples, compares selected outputs with Sora and points out where movement or prompt adherence breaks down.Generative mediaVision et vidéoMultimodal AI+1
31:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 19 déc. 2024Podcast · 2 voixElias Torres sold a billion-dollar company and called it a failure. Agency is the redo.Anime : Sarah Guo, Elad GilThe Drift founder wants $1 billion in revenue with 100 people, one email address, and software that works like a text to someone who actually shows up.Entreprise et stratégieCompany BuildingAI startups & small teams+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 18 déc. 2024PodcastHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.Anime : Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.AgentsAgent orchestrationMulti-agent systems+3
1:07:32EN
Unsupervised Learning: With Jacob Effron· 18 déc. 2024Podcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringAnime : Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.Modèles et entraînementReasoning & test-time computeIngénierie d’agents+3
Charger plus24 sur 4 225 affichés