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152 件
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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
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月19日ポッドキャストGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4ホスト Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.エージェント検索拡張生成(RAG)Prompting & in-context learning+3
59:41EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月13日ポッドキャストHumans Are Single-Threaded. MULTI·ON Wants 100 Agents Running Anywayホスト Nathan LabenzStanford PhD dropout Div Garg put a personal agent in Chrome so it can reuse your logins, ask for help when it stalls, and stop before it hits Buy.エージェントPersonal agentsComputer use+3
1:40:07EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月4日ポッドキャストThirty thousand voltage updates a second: inside Skydio’s autonomy stackホスト Nathan LabenzHayk Martiros walks Nathan Labenz through a two-pound drone that sees in every direction, runs more than ten neural nets on board, and will not be weaponized.エージェントRoboticsAutonomous Systems+3
1:30:29EN
Cognitive Revolution "How AI Changes Everything"· 2023年6月9日ポッドキャストGPT-4 Wins Ten Times More Bill Fights: DoNotPay's Robot-Lawyer Warホスト Nathan LabenzGPT-3 thanked Comcast for twenty dollars off. GPT-4 said that was not enough — and the robot lawyer called it an arms race.エージェントProduct StrategyAI startups & small teams+3
51:55EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年5月11日ポッドキャスト · 2 人Nine orders of magnitude later, he shipped a companion, not an oracleホスト Sarah Guo, Elad GilDeepMind co-founder Mustafa Suleyman tells No Priors why Inflection’s first product is a personal AI that sits in your corner, and why the missing piece is a router, not a bigger model.エージェントPersonal agentsAI interface design+3
58:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月25日ポッドキャストSeventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agentsホスト Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.エージェントエージェント工学Agent memory+3
1:29:31EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月30日ポッドキャスト130,000 Teleop Demos: Google's GPT Playbook for Robotsホスト Nathan LabenzKeerthana Gopalakrishnan of Google Robotics tells Nathan Labenz how RT-1, SayCan, and PaLM-E turn language-model scaling into kitchen-ready mobile manipulators.エージェントRoboticsMultimodal AI+3
1:25:46EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月22日ポッドキャストDon't Make the Tools Agentic: Flo Crivello on What Production Agents Actually Needホスト Nathan LabenzThe Lindy CEO tells Nathan Labenz that most working agents are intelligent workflows with human-designed control flow — and that scaffolding may still matter even if AGI arrives.エージェントエージェント工学Personal agents+3
スライド 3 枚4:57EN
Matthew Berman· 2023年3月2日How Microsoft Research Used ChatGPT to Guide Robots and DronesMatthew Berman · Forward FutureA 2023 research demonstration combines natural-language instructions, robot APIs and human review to generate code for physical and simulated tasks.RoboticsHuman-AI Collaborationエージェント+1
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月2日ポッドキャスト · 2 人Forty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lessonホスト Sarah Guo, Elad GilMeta’s Noam Brown tells Sarah Guo and Elad Gil how Cicero negotiated in English for 40 games on a tiny web community — and why thinking at decision time beat three years of scaling.エージェントAI researchReasoning & test-time compute+3
2:29:21EN
Lex Fridman· 2022年12月6日ポッドキャスト · 2 人The Poker Bot That Never Tried to Read a Soulゲスト Noam Brown · ホスト Lex FridmanNoam Brown tells Lex Fridman how a Nash-equilibrium bot crushed heads-up no-limit Hold'em, how Pluribus did it six-handed, and why Diplomacy required an AI that could earn human trust.エージェントReinforcement LearningMulti-agent systems+1
3:12:55EN
Lex Fridman· 2020年10月21日ポッドキャスト · 2 人The IQ required to destroy the world drops by one point every yearゲスト George Hotz · ホスト Lex FridmanGeorge Hotz on Fermi's paradox, hacking the simulation, and teaching cars to drive with neural nets.エージェントAutonomous DrivingSimulation Hypothesis+3
4:08:58EN
Lex Fridman· 2020年6月22日ポッドキャスト · 2 人The Man Who Named AGI Wants Superintelligence Raised on Compassionゲスト Ben Goertzel · ホスト Lex FridmanLex Fridman talks with Ben Goertzel for four hours about OpenCog, Sophia, SingularityNET, and why a bigger neural net is not a mind.エージェントAGI(汎用人工知能)AI research+3
1:12:36EN
Lex Fridman· 2020年6月5日ポッドキャスト · 2 人Kate Darling on Why We Name the Roomba and Mourn the Bomb Robotゲスト Kate Darling · ホスト Lex FridmanAn MIT Media Lab researcher argues that our feelings about machines track the history of animal domestication — and that design can steer that instinct for better or worse.エージェント安全性とガバナンスRobotics+3
1:38:33EN
Lex Fridman· 2020年3月19日ポッドキャスト · 2 人Maybe people are rational under different assumptionsゲスト Anca Dragan · ホスト Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.エージェントRoboticsReinforcement Learning+3
1:39:56EN
Lex Fridman· 2020年2月26日ポッドキャスト · 2 人Why Marcus Hutter Treats Compression as Intelligence Itselfゲスト Marcus Hutter · ホスト Lex FridmanThe DeepMind researcher behind AIXI tells Lex Fridman why a Wikipedia compression contest, Solomonoff induction, and an incomputable formula belong in the same conversation.エージェントAGI(汎用人工知能)AI research+3
1:45:58EN
Lex Fridman· 2019年12月14日ポッドキャスト · 2 人Nine of ten colleagues said far-field speech was impossibleゲスト Rohit Prasad · ホスト Lex FridmanRohit Prasad, Amazon’s vice president and head scientist for Alexa, talks with Lex Fridman about conversational AI, the Alexa Prize, trust, and why a 20-minute chat is still years away.エージェント音声 AIAI interface design+3
1:23:01EN
Lex Fridman· 2019年12月11日ポッドキャスト · 2 人You Cannot Ask a Question You Have No Words Forゲスト Judea Pearl · ホスト Lex FridmanA teenager spent three days in bed with a fever after learning that geometry could be done in algebra — then spent a career giving cause and effect a mathematics.エージェントAGI(汎用人工知能)AI research+3
44:48EN
Lex Fridman· 2019年7月22日ポッドキャスト · 2 人Chris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Napゲスト Chris Urmson · ホスト Lex FridmanLex Fridman talks with Aurora CEO Chris Urmson about the DARPA races, why lidar is a tool rather than a crutch, and why Level 2 economics will not grow into true autonomy.エージェントAutonomous Driving安全性とガバナンス+3
1:46:01EN
Lex Fridman· 2019年4月29日ポッドキャスト · 2 人The Night AlphaStar Beat TLO, the Team Went to a Barゲスト Oriol Vinyals · ホスト Lex FridmanOriol Vinyals on how DeepMind turned StarCraft II into a sequence problem, built a league of agents, and still refuses to call the game solved.エージェントReinforcement LearningMulti-agent systems+3
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