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149 件
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1:12:31EN
Sequoia Capital· 2024年8月27日ポッドキャストA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.エージェントエージェント工学評価(Evals)+3
スライド 5 枚18:43EN
Matthew Berman· 2024年8月22日Sakana AI's AI Scientist and the Prospect of Automated ResearchMatthew Berman · Forward FutureMatthew Berman explores a 2024 system for generating and evaluating machine-learning research, and argues that automation could eventually accelerate AI progress.AI for scienceAI researchエージェント+2
0:54EN
Matthew Berman· 2024年8月20日Eric Schmidt on AI Agents and Google's Competitive PositionMatthew Berman, Eric Schmidt · Forward FutureA short 2024 Stanford interview excerpt pairs a forecast about AI agents with a disputed explanation for Google's AI position.AI StrategyエージェントFuture of Work+1
1:03:26EN
20VC with Harry Stebbings· 2024年8月19日ポッドキャスト · 2 人Aidan Gomez on Model Scaling, Data and Enterprise AIゲスト Aidan Gomez · ホスト Harry StebbingsThe Cohere CEO discusses the economics of foundation models, enterprise adoption, AI agents and the future he hopes the technology will enable.Foundation Modelsモデルと学習エンタープライズ AI+2
1:50:08EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月7日ポッドキャストWaymo's Injury Rate Is Five Times Lower. It Still Loses to a Lyft.ホスト Nathan LabenzHuman drivers average one fatal crash per 100 million miles — and that bar still defines the self-driving debate.エージェントAutonomous Driving安全性とガバナンス+3
1:07:05EN
Sequoia Capital· 2024年7月16日ポッドキャストAlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.エージェントエージェント工学Reinforcement Learning+3
49:50EN
Sequoia Capital· 2024年6月18日ポッドキャストUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.エージェントエージェント工学Agent orchestration+3
1:05:52EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月3日ポッドキャストInfinite AI Interns Are Already on the Jobホスト Nathan LabenzNathan Labenz tells computer-science students how to stand out when models are beating doctors on routine work and firms are hiring fewer juniors.エージェントAI StrategyHuman-AI Collaboration+3
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月28日ポッドキャスト · 2 人From a side project to 700 integrations: Harrison Chase on what still blocks agentsホスト Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.エージェントエージェント工学Agent memory+3
1:25:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月9日ポッドキャストTwo-Headed Worms, Regenerated Legs, and a Sort That Learned to Waitホスト 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.エージェントNeuroscience & AIPhilosophy of Mind+3
4:56EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月1日ポッドキャストIf the Mind Is a Tool, AI Looks Less Like a Threatホスト Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.エージェントエージェント工学Knowledge graphs+3
スライド 4 枚15:11EN
Matthew Berman· 2024年1月25日Building a Transcript-to-Article Team in AutoGen StudioMatthew Berman · Forward FutureMatthew Berman configures a retrieval skill, two agents and a group workflow, then troubleshoots missing credentials and output.エージェントエージェント工学
スライド 4 枚21:00EN
Matthew Berman· 2024年1月23日Jim 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.RoboticsエージェントReinforcement Learning+2
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月20日ポッドキャストAn Agent Posted Five Tweets — and 5,000 People Didn't Noticeホスト Nathan LabenzMultiOn founder Div Garg walks Cognitive Revolution through what web agents can actually do in early 2024, what they cost, and why guardrails have to sit outside the model.エージェントエージェント工学コンテキストエンジニアリング+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月12日ポッドキャストTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experimentホスト Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.エージェントAI for scienceエージェント工学+3
スライド 5 枚29:58EN
Matthew Berman· 2024年1月10日Rabbit R1’s 2024 Launch Demo: An AI Assistant Built Around ActionsMatthew Berman, Jesse Lyu · Forward FutureMatthew Berman reviews Rabbit’s launch presentation, from voice-controlled services and experimental teach mode to its proposed $199 device.エージェントプロダクトと UXHuman-AI Collaboration+1
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月2日ポッドキャストIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%ホスト 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.エージェントエージェント工学Reasoning & test-time compute+3
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月16日ポッドキャスト · 2 人Fourteen People, $200 Million of Compute, and the Reliability Bottleneck for Agentsホスト Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.エージェントコーディングエージェントエージェント工学+3
1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月9日ポッドキャストOpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Senseホスト Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.エージェントAutonomous DrivingMultimodal AI+3
1:03:46EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月3日ポッドキャストWhen Code Costs a Dime, You Throw the App Awayホスト Nathan LabenzLindy founder Flo Crivello tells Nathan Labenz how an AI employee learns APIs from documentation, why GPT-4 made quality the only metric that matters, and why even he wants aviation-style rules for AI.エージェント安全性とガバナンスAGI(汎用人工知能)+3
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月26日ポッドキャスト105 lines of code, a million impressions, and a VC who refused to found the companyホスト Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.エージェントエージェント工学Agent orchestration+3
スライド 3 枚4:42EN
Matthew Berman· 2023年10月17日Connecting AutoGen to a Local Model With LM StudioMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup and explains where agent behavior still needs work.エージェントOpen-weight modelsインフラとデプロイ
42:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月15日ポッドキャスト · 2 人The Transformer Co-Author Who Wants to Give AI a Walletホスト Sarah Guo, Elad GilIllia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR, argues that a blockchain account turns a language-model agent into an economic actor that can hire people and other AIs.エージェントAgentic commerceエージェント認証+3
55:13EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月7日ポッドキャストTwo Days to a Prototype: How a16z Turned a Stanford Paper Into AI Townホスト Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.エージェントエージェント工学Agent memory+3
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