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슬라이드 7장19:43EN
AI Engineer· 2026년 10월 26일Jack Wotherspoon on Building a Team of Managed AgentsJack Wotherspoon · Google DeepMindGoogle DeepMind’s Jack Wotherspoon introduces Gemini Managed Agents: cloud sandboxes that let teams run coding and research agents with a single API call. He explains how persistent environments, reusable skills, proxy-injected credentials, schedules, and specialized agents fit together.에이전트 엔지니어링Agent orchestrationSandboxes & isolation+2
슬라이드 5장20:55EN
AI Engineer· 2026년 10월 26일Jesse Hall:语音智能体要为对话而优化,而非只看排行榜Jesse Hall · LiveKitLiveKit 的 Jesse Hall 解释了为什么语音智能体必须像实时系统一样接受评测:听清用户、允许打断、在工具调用期间继续对话,并在用户真正听到声音之前控制延迟。음성 AI에이전트 엔지니어링평가(Evals)+2
슬라이드 12장17:56EN
AI Engineer· 2026년 10월 25일How Bridgewater Keeps Its AI Analyst Inside Permission BoundariesNikhil Benesch, Aaron Linsky · turbopufferAaron Linsky and Nikhil Benesch explain why search over an enterprise vault must honor document permissions without sacrificing recall or speed. Their solution combines vector indexing with native filtering to search hundreds of millions of vectors in roughly 120 milliseconds.엔터프라이즈 AIPrivacy & data governanceSearch & retrieval+2
슬라이드 9장20:58EN
AI Engineer· 2026년 10월 25일Vinoo Ganesh on Making Financial AI Cite Every NumberVinoo Ganesh · KeplerKepler CEO Vinoo Ganesh explains why financial AI should retrieve and cite figures while deterministic software handles the math. His design makes traceability, retrieval quality, and tenant security part of the answer itself.금융 AI엔터프라이즈 AI검색 증강 생성(RAG)+2
슬라이드 10장18:31EN
AI Engineer· 2026년 10월 25일Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.금융 AIBenchmarks평가(Evals)+2
슬라이드 8장15:27EN
AI Engineer· 2026년 10월 25일What AI Engineers Do Now: Build the Loop Around AgentsAparna Dhinakaran · Arize AIAparna Dhinakaran argues that AI engineers are moving from shipping individual features to building systems that let agent teams improve them. At Arize, that means tracing agent behavior, evaluating its work against human judgment, and feeding those signals back into an always-on agent.에이전트 엔지니어링평가(Evals)관측 가능성과 안정성+2
슬라이드 7장19:37EN
AI Engineer· 2026년 10월 25일Jay Sahnan and Arik Bird on Building Financial Agents for the Whole WebJay Sahnan, Arik Bird · BrowserbaseBrowserbase’s Jay Sahnan and Arik Bird show how browser agents reach financial data hidden behind logins and bot defenses. Their Ramp, Bill, and Stripe examples connect reliable cloud browsers with Stagehand’s more adaptive controls.에이전트 엔지니어링Computer useWorkflow automation+2
21:52EN
PragerU· 2026년 10월 24일Josef Witt-Doerring on Gen Z Mental Health, Isolation, and Psychiatric PrescribingShabbos Kestenbaum, Josef Witt-Doerring, Scott Galloway · PragerUOn The Brief, Shabbos Kestenbaum and psychiatrist Josef Witt-Doerring discuss why young adults are struggling, how prescribing incentives shape care, and the place of relationships and daily habits in treatment.Mental HealthSocial MediaRelationships+2
26:41EN
Latent Space· 2026년 10월 22일팟캐스트 · 2명Anekha Sokhal on Moshi, a Recommendation Engine for Commodity Traders게스트 Anekha Sokhal · 진행자 swyxThe Moshi founder tells swyx how she would rebuild a trader’s workflow: connect market data, private files and conflicting sources, then push the second-order effects people would otherwise miss. The hard part is not the dashboard. It is getting someone to actually use it.금융 AIRecommendation systemsData quality & curation+2
슬라이드 2장17:42EN
AI Engineer· 2026년 10월 21일Is a Faster Model Actually Faster? Measure the Finished Job, Not the TokensMorgan Suo · MiniMaxMiniMax's Morgan Suo takes the engineering changes inside M3.1 Flash one by one and asks the question that matters to users: does the job an analyst needs actually get done sooner, cheaper and correctly?AI cost & performanceInferenceQuantization+2
슬라이드 13장16:22EN
How I AI· 2026년 10월 21일팟캐스트Claire Vo: Claude Duet Is Beautiful, but It Is Not My Number One Agent진행자 Claire VoAnthropic’s phone-based personal agent has the most polished launch Claire Vo has seen: thoughtful onboarding, task lists, first-class artifacts, and Slack-style channels. Polish is not enough when every other agent is competing for the same attention.Personal agentsAnthropicAI interface design+2
22:01EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 5월 11일팟캐스트 · 2명The first AI take-private is a $6.3 billion bet that services can grow like software진행자 Sarah Guo, Elad GilLong Lake CEO Alexander Taubman tells Elad Gil why his firm is taking American Express Global Business Travel private after 30 AI-driven acquisitions — and why they buy the company instead of selling it a tool.기업과 전략Acquisition StrategyCompany Building+3
29:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 4월 3일팟캐스트 · 2명ChatGPT Almost Became a Meeting Bot. Its Co-Creator Is Now Rearranging Atoms진행자 Sarah Guo, Elad GilLiam Fedus tells No Priors how Periodic Labs is connecting language models to experiments so materials science can run in a closed loop.기업과 전략AI for scienceCompany Building+3
18:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 10월 31일팟캐스트 · 2명86 Out of 100: The Clips No Priors Could Not Leave on the Cutting-Room Floor진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil stitch nine 2025 conversations into one short tour of legal AI, spatial intelligence, jobs, deterrence, and a doctor who made it home for dinner.기업과 전략AI StrategyCompany Building+3
27:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 10월 23일팟캐스트 · 2명The Turing Test Passed. Warp's CEO Says Nobody Seemed to Care진행자 Sarah Guo, Elad GilZach Lloyd on distilling intelligence without consciousness, why a 40-year-old terminal is the front door for coding agents, and why senior engineers just got more expensive.코딩 에이전트개발 워크플로와 테스트에이전트 엔지니어링+3
25:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 5월 29일팟캐스트 · 2명The AI Table Is Being Cleared: Two or Three Coding Winners, and Forty Years Without a Biotech Giant진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through which AI markets have already consolidated, why rival startups still refuse to merge, and the biotech science sitting unused.기업과 전략AI StrategyCompany Building+3
27:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 4월 3일팟캐스트 · 2명Nasdaq Down 8% and Ghibli Everywhere: AI Is Already in Inning Three진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil on the latest image-gen wow cycle, why public-market panic is mostly noise for software startups, and where specialized models still have room.기업과 전략AI StrategyGenerative media+3
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 2월 7일팟캐스트 · 2명The $5.5 Million Was Only the Last Mile진행자 Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.모델과 학습AI StrategyAI cost & performance+3
27:12EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 1월 30일팟캐스트 · 2명Why Rick Caruso's Palisades Village Stood While Two Manhattans Burned진행자 Sarah Guo, Elad GilThe Los Angeles developer and former mayoral candidate on empty hydrants, 40 years of uncut brush, and rebuilding in a year instead of a decade.LeadershipDecision MakingPublic Health
23:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 1월 9일팟캐스트 · 2명A Hundred GPUs in Seconds: Why Modal Threw Out Docker and Kubernetes진행자 Sarah Guo, Elad GilErik Bernhardsson tells Elad Gil that AI inference is too bursty for year-long GPU contracts, and that the cloud should feel as fast as a laptop.인프라와 배포InferenceAI cost & performance+3
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 12월 26일팟캐스트 · 2명After adding $100 billion a month, Jensen Huang says NVIDIA is selling the data center진행자 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.기업과 전략AI Strategy인프라와 배포+3
29:29EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 10월 17일팟캐스트 · 2명The Week AI Won Its First Nobels, Two Investors Listed Who Is Most at Risk진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil talk NotebookLM, intelligent NPCs, artificial wombs, OpenAI’s o1, and which businesses look AI-durable.기업과 전략AI StrategyProduct Strategy+3
26:08EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 10월 3일팟캐스트 · 2명Fewer Than 3% of Deals Get Investigated. Selling to the Monopolist Is What Triggers the FTC.진행자 Sarah Guo, Elad GilChair Lina Khan tells No Priors how merger review actually works in AI markets, why open-weight models matter, and why the agency banned most non-competes.기업과 전략AI RegulationOpen-weight models+3
26:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 9월 12일팟캐스트 · 2명API prices fell 200x. The LLM table still is not set.진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil, with no guest this week, argue over whether the language-model market has already consolidated — and why falling prices, five-person labs, and AMD’s shopping spree all cut against a simple ending.기업과 전략AI StrategyPricing Strategy+3
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