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슬라이드 4장15:11EN
Matthew Berman· 2024년 1월 25일Building 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.에이전트에이전트 엔지니어링
슬라이드 4장21:00EN
Matthew Berman· 2024년 1월 23일Jim 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.Robotics에이전트Reinforcement Learning+2
1:43:07EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 20일팟캐스트An Agent Posted Five Tweets — and 5,000 People Didn't Notice진행자 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.에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
1:50:57EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 12일팟캐스트Twenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experiment진행자 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.에이전트AI for science에이전트 엔지니어링+3
슬라이드 5장29:58EN
Matthew Berman· 2024년 1월 10일Rabbit 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.에이전트제품과 UXHuman-AI Collaboration+1
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 2일팟캐스트If Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%진행자 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.에이전트에이전트 엔지니어링Reasoning & test-time compute+3
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 11월 16일팟캐스트 · 2명Fourteen People, $200 Million of Compute, and the Reliability Bottleneck for Agents진행자 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.에이전트코딩 에이전트에이전트 엔지니어링+3
1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 9일팟캐스트OpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Sense진행자 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.에이전트Autonomous DrivingMultimodal AI+3
1:03:46EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 3일팟캐스트When Code Costs a Dime, You Throw the App Away진행자 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.에이전트안전과 거버넌스AGI(범용 인공지능)+3
1:25:11EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 26일팟캐스트105 lines of code, a million impressions, and a VC who refused to found the company진행자 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.에이전트에이전트 엔지니어링Agent orchestration+3
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
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
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