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슬라이드 3장4:42EN
Matthew Berman· 2023년 10월 17일Connecting 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.에이전트Open-weight models인프라와 배포
42:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 15일팟캐스트 · 2명The Transformer Co-Author Who Wants to Give AI a Wallet진행자 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.에이전트Agentic commerce에이전트 인증+3
55:13EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 7일팟캐스트Two Days to a Prototype: How a16z Turned a Stanford Paper Into AI Town진행자 Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.에이전트에이전트 엔지니어링Agent memory+3
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 19일팟캐스트Give the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4진행자 Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.에이전트검색 증강 생성(RAG)Prompting & in-context learning+3
59:41EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 13일팟캐스트Humans Are Single-Threaded. MULTI·ON Wants 100 Agents Running Anyway진행자 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.에이전트Personal agentsComputer use+3
1:40:07EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 4일팟캐스트Thirty thousand voltage updates a second: inside Skydio’s autonomy stack진행자 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.에이전트RoboticsAutonomous Systems+3
1:30:29EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 9일팟캐스트GPT-4 Wins Ten Times More Bill Fights: DoNotPay's Robot-Lawyer War진행자 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.에이전트Product StrategyAI startups & small teams+3
51:55EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 5월 11일팟캐스트 · 2명Nine orders of magnitude later, he shipped a companion, not an oracle진행자 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.에이전트Personal agentsAI interface design+3
58:26EN
Cognitive Revolution "How AI Changes Everything"· 2023년 4월 25일팟캐스트Seventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agents진행자 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.에이전트에이전트 엔지니어링Agent memory+3
1:29:31EN
Cognitive Revolution "How AI Changes Everything"· 2023년 3월 30일팟캐스트130,000 Teleop Demos: Google's GPT Playbook for Robots진행자 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.에이전트RoboticsMultimodal AI+3
1:25:46EN
Cognitive Revolution "How AI Changes Everything"· 2023년 3월 22일팟캐스트Don't Make the Tools Agentic: Flo Crivello on What Production Agents Actually Need진행자 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.에이전트에이전트 엔지니어링Personal agents+3
슬라이드 3장4:57EN
Matthew Berman· 2023년 3월 2일How 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 Collaboration에이전트+1
1:00:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 2월 2일팟캐스트 · 2명Forty games of Diplomacy, and nobody spotted the bot: Noam Brown’s 100,000x lesson진행자 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.에이전트AI researchReasoning & test-time compute+3
2:29:21EN
Lex Fridman· 2022년 12월 6일팟캐스트 · 2명The Poker Bot That Never Tried to Read a Soul게스트 Noam Brown · 진행자 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.에이전트Reinforcement LearningMulti-agent systems+1
3:12:55EN
Lex Fridman· 2020년 10월 21일팟캐스트 · 2명The IQ required to destroy the world drops by one point every year게스트 George Hotz · 진행자 Lex FridmanGeorge Hotz on Fermi's paradox, hacking the simulation, and teaching cars to drive with neural nets.에이전트Autonomous DrivingSimulation Hypothesis+3
4:08:58EN
Lex Fridman· 2020년 6월 22일팟캐스트 · 2명The Man Who Named AGI Wants Superintelligence Raised on Compassion게스트 Ben Goertzel · 진행자 Lex FridmanLex Fridman talks with Ben Goertzel for four hours about OpenCog, Sophia, SingularityNET, and why a bigger neural net is not a mind.에이전트AGI(범용 인공지능)AI research+3
1:12:36EN
Lex Fridman· 2020년 6월 5일팟캐스트 · 2명Kate Darling on Why We Name the Roomba and Mourn the Bomb Robot게스트 Kate Darling · 진행자 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.에이전트안전과 거버넌스Robotics+3
1:38:33EN
Lex Fridman· 2020년 3월 19일팟캐스트 · 2명Maybe people are rational under different assumptions게스트 Anca Dragan · 진행자 Lex FridmanAnca Dragan talks with Lex Fridman about inverse reinforcement learning, autonomous driving, and why a written reward is evidence rather than law.에이전트RoboticsReinforcement Learning+3
1:39:56EN
Lex Fridman· 2020년 2월 26일팟캐스트 · 2명Why Marcus Hutter Treats Compression as Intelligence Itself게스트 Marcus Hutter · 진행자 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.에이전트AGI(범용 인공지능)AI research+3
1:45:58EN
Lex Fridman· 2019년 12월 14일팟캐스트 · 2명Nine of ten colleagues said far-field speech was impossible게스트 Rohit Prasad · 진행자 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.에이전트음성 AIAI interface design+3
1:23:01EN
Lex Fridman· 2019년 12월 11일팟캐스트 · 2명You Cannot Ask a Question You Have No Words For게스트 Judea Pearl · 진행자 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.에이전트AGI(범용 인공지능)AI research+3
44:48EN
Lex Fridman· 2019년 7월 22일팟캐스트 · 2명Chris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You Nap게스트 Chris Urmson · 진행자 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.에이전트Autonomous Driving안전과 거버넌스+3
1:46:01EN
Lex Fridman· 2019년 4월 29일팟캐스트 · 2명The Night AlphaStar Beat TLO, the Team Went to a Bar게스트 Oriol Vinyals · 진행자 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.에이전트Reinforcement LearningMulti-agent systems+3
1:01:24EN
Lex Fridman· 2019년 3월 12일팟캐스트 · 2명Leslie Kaelbling: You Buy the Ticket Before You Can Plan the Airport게스트 Leslie Kaelbling · 진행자 Lex FridmanThe MIT roboticist tells Lex Fridman why abstractions, belief-space control, and built-in bias matter more than picking a tribe of symbols or neural nets.에이전트Reinforcement LearningRobotics+3
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