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1:20:43EN
20VC with Harry Stebbings· 2026년 9월 24일팟캐스트 · 3명AI Agents, Venture Pricing and the Tradeoffs Behind the Funding Boom게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate AI products, high-priced venture rounds, enterprise software and infrastructure risk.Venture CapitalAI agents엔터프라이즈 AI+2
1:36:37EN
Jane Street· 2026년 9월 23일Aaron Bauer on Teaching Software Engineering in the Age of AIYaron Minsky, Aaron Bauer · Jane StreetHow learning goals, active practice and editor design shape engineering education when models can generate the code.AI in EducationSoftware engineeringEducation+2
33:28EN
GOTO Conferences· 2026년 9월 23일Thinking in Platforms: From Developer Tooling to AI AgentsKaspar von Grünberg, Luca GalanteKaspar von Grünberg and Luca Galante discuss internal platforms, adoption and their view of agent infrastructure.AI platform engineeringSoftware engineeringAI agents
슬라이드 8장40:14EN
Theo - t3․gg· 2026년 9월 23일Opus 5.5: Theo’s First Day with a New Coding ModelTheo Browne · T3Theo compares price, benchmarks, coding work and game demos while cautioning that his assessment rests on a single day of use.코딩 에이전트AI cost & performance평가(Evals)+2
39:35EN
Reid Hoffman· 2026년 9월 23일팟캐스트 · 2명Reid Hoffman on AI Warnings and a Dual Mandate진행자 Aria Finger, Reid HoffmanA debate over risk, public benefits and the future of AI development.AI SafetyAI StrategyFuture of Work
슬라이드 4장31:59EN
Matthew Berman· 2026년 9월 23일Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
1:28:32EN
The Pragmatic Engineer· 2026년 9월 23일팟캐스트 · 2명Maggie Appleton on Design Engineering in the Age of Agents게스트 Maggie Appleton · 진행자 Gergely OroszSketches, live prototypes and human judgment in collaborative software design.제품과 UXSoftware engineering에이전트 엔지니어링
슬라이드 5장7:26EN
Matthew Berman· 2026년 9월 23일GPT-6 Sol and Luna: Price and Benchmark Trade-offsMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s September 2026 launch, comparing API prices and reported agent benchmarks with larger models.OpenAIAI cost & performanceBenchmarks+2
1:53:13EN
Machine Learning Street Talk· 2026년 9월 23일팟캐스트 · 2명Frank Hutter on TabPFN: Learning to Predict from Tables게스트 Frank Hutter · 진행자 Tim ScarfeA discussion of synthetic priors, Bayesian prediction and causal limits.Machine LearningFoundation ModelsData quality & curation
25:30EN
All-In Podcast· 2026년 9월 23일팟캐스트 · 3명Luca Ferrari on Buying Product-Market Fit and Building Bending Spoons게스트 Luca Ferrari · 진행자 Chamath Palihapitiya, Jason CalacanisThe CEO explains the company’s $40,000 beginning, shared technology platform, acquisition criteria and approach to financing.Acquisition StrategyCompany BuildingProduct Strategy+1
슬라이드 7장27:53EN
Theo - t3․gg· 2026년 9월 22일Grok 4.7: Strong Codebase Investigation, Uneven ValueTheo Browne · T3Theo compares launch claims, token costs, benchmarks and his own codebase and game tests, finding useful review behavior alongside significant tradeoffs.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 38장1:01:33EN
DeepLearningAI· 2026년 9월 22일Spec-Driven Development with Coding Agents: Write the Spec, Let the Agent BuildAndrew Ng, Paul Everitt · DeepLearning.AIJetBrains developer advocate Paul Everitt walks through a full spec-driven workflow: a project constitution, feature loops of plan–implement–validate, and agent skills that travel across tools. The alternative to vibe coding is a markdown contract the agent cannot forget.코딩 에이전트Agent skills개발 워크플로와 테스트+2
0:52EN
Matthew Berman· 2026년 9월 22일Matthew Berman’s Three Sleep Habits and Eight Sleep PodMatthew Berman · Forward FutureBerman describes keeping the bed cool, waking consistently and tracking sleep, while promoting a temperature-adjusting mattress system.Personal GrowthProductivity
슬라이드 5장16:57EN
Matthew Berman· 2026년 9월 22일Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performance코딩 에이전트+1
38:51EN
How I AI· 2026년 9월 22일팟캐스트Claire Vo’s Blind Test of AI Models for Product WorkA live comparison of writing, prototypes, agents and creative tasks.평가(Evals)제품과 UX모델과 학습
슬라이드 8장1:59:37EN
Matthew Berman· 2026년 9월 22일Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.코딩 에이전트AI cost & performance평가(Evals)+2
슬라이드 10장41:32EN
Theo - t3․gg· 2026년 9월 22일Using Fable 5.1 for Longer Coding TasksTheo Browne · T3Theo Browne shares how he prompts coding agents, sets end states and uses reviews and tests to support longer-running work.코딩 에이전트Prompt optimization개발 워크플로와 테스트+2
슬라이드0:23EN
Theo - t3․gg· 2026년 9월 21일Why AI Safety Evaluators Need More Than a Black BoxTheo Browne · T3Theo Browne explains a proposal to give outside evaluators employee-like access inside AI companies.AI Safety안전과 거버넌스평가(Evals)
슬라이드 2장0:37EN
Matthew Berman· 2026년 9월 21일A Fruit-Fly Connectome, Online Simulations and Questions About ExperienceMatthew Berman · Forward FutureMatthew Berman shows playful simulated-fly demonstrations and asks whether a future complete simulation could suffer. A neural wiring map and those demonstrations do not establish a conscious digital animal.Neuroscience & AIConsciousnessSimulation Hypothesis
1:19:04EN
20VC with Harry Stebbings· 2026년 9월 21일팟캐스트 · 2명Daniel Dines on AI Agents, Enterprise Work and the Limits of Automation게스트 Daniel Dines · 진행자 Harry StebbingsThe UiPath co-founder argues that companies need a map of work and reliable automation alongside AI, while Harry Stebbings challenges his assumptions about how fast jobs will change.엔터프라이즈 AIWorkflow automationAI agents+2
슬라이드 10장30:29EN
Theo - t3․gg· 2026년 9월 21일Jev: A Fast Classifier for Structured DecisionsTheo Browne · T3Theo Browne explores Typesafe AI’s Jev through classification, game and developer-workflow demos, and explains where he thinks a reasoning model is still needed.Structured outputsModel routing & gateways코딩 에이전트+2
슬라이드 2장0:51EN
Matthew Berman· 2026년 9월 21일Jev Demos: Fast AI for Search, Classification and BrowsingMatthew Berman · Forward FutureMatthew Berman highlights a collection of community-built demonstrations using Jev.AI agents제품과 UXWorkflow automation
2:14:20EN
Machine Learning Street Talk· 2026년 9월 21일팟캐스트 · 2명Alexander Mattick on Inference, Constraints and World Models게스트 Alexander Mattick · 진행자 Tim ScarfeWhy generative modeling, reinforcement learning and robotics all depend on assumptions and costs.AI research모델과 학습AI cost & performance
0:24EN
Theo - t3․gg· 2026년 9월 19일Why Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.AI Safety보안과 안전
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