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3 Folien27:32EN
MBMatthew Berman· 12. März 2025OpenAI’s Responses API and Agents SDK: A Launch WalkthroughMatthew Berman · Forward FutureMatthew Berman reacts to a launch demonstration of web and file search, computer use, agent handoffs and tracing.Agent EngineeringAgentenMCP & Tools+1
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Sequoia Capital· 11. März 2025PodcastHarvey Built Legal AI for the Work the Next Model Still Cannot DoCEO Winston Weinberg on citations, process data, and the unscalable tactics that won over century-old law firms.Unternehmen & StrategieEnterprise-KIProduct Strategy+3
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Sequoia Capital· 25. Feb. 2025PodcastDon't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.AgentenAgent EngineeringReinforcement Learning+3
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Unsupervised Learning: With Jacob Effron· 19. Feb. 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyModeration: Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.AgentenAgent EngineeringReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 12. Feb. 2025PodcastA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative SocietyModeration: Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.AgentenMulti-agent systemsSicherheit & Governance+3
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Unsupervised Learning: With Jacob Effron· 30. Jan. 2025PodcastA Million Tokens Cannot Write a Good JokeModeration: Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.Evals & ObservabilityEvalsBenchmarks+3
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Sequoia Capital· 28. Jan. 2025PodcastMove 37 looked like a bug. LLMs still need their AlphaZero momentIoannis Antonoglou, from AlphaGo to Reflection AI, on self-play, reliability, and why compute can still buy intelligence.AgentenReinforcement LearningAgent Engineering+3
5 Folien19:06EN
MBMatthew Berman· 28. Dez. 2024Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.Agent EngineeringAgentenEvals+1
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No Priors: AI, Machine Learning, Tech, & Startups· 26. Dez. 2024Podcast · 2 StimmenAfter adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerModeration: 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.Unternehmen & StrategieAI StrategyInfrastruktur & Deployment+3
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Cognitive Revolution "How AI Changes Everything"· 21. Dez. 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DModeration: Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.Evals & ObservabilityEvalsBenchmarks+3
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Unsupervised Learning: With Jacob Effron· 18. Dez. 2024Podcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringModeration: Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.Modelle & TrainingReasoning & test-time computeAgent Engineering+3
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Unsupervised Learning: With Jacob Effron· 6. Dez. 2024PodcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomModeration: Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.Modelle & TrainingReasoning & test-time computeAGI+3
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Cognitive Revolution "How AI Changes Everything"· 5. Dez. 2024PodcastAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.Moderation: Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.AgentenAI for scienceRetrieval-Augmented Generation+3
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Cognitive Revolution "How AI Changes Everything"· 3. Dez. 2024PodcastA 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a DayModeration: Nathan LabenzMultiOn CEO Div Garg returns to The Cognitive Revolution to recap 18 months of agent hype, the AgentQ stack, and why 2025 might still be the year of vertical agents.AgentenAgent EngineeringComputer use+3
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Sequoia Capital· 26. Nov. 2024PodcastReasoning Hasn't Budged in Two Years. Dust Still Saved a Customer 8,000 HoursDust co-founders Gabriel Hubert and Stanislas Polu on multi-model agents, refusing to buy GPUs before product-market fit, and the jump from calculator tools to stochastic ones.AgentenAgent EngineeringEnterprise-KI+3
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No Priors: AI, Machine Learning, Tech, & Startups· 8. Okt. 2024Podcast · 2 StimmenHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Moderation: Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.Evals & ObservabilityEvalsRetrieval-Augmented Generation+3
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Cognitive Revolution "How AI Changes Everything"· 2. Okt. 2024Podcast30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkModeration: Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.Coding-AgentenAgent EngineeringFine-Tuning+3
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No Priors: AI, Machine Learning, Tech, & Startups· 19. Sept. 2024Podcast · 2 StimmenA Call Center Contact Costs $13. A Company Agent Can Do It for Under a DollarModeration: Sarah Guo, Elad GilSierra cofounder and OpenAI chairman Bret Taylor tells No Priors why branded customer agents are shovel-ready, why RAG demos are not products, and how AI software should charge for the job done.AgentenAgent EngineeringCustomer support automation+3
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Cognitive Revolution "How AI Changes Everything"· 18. Sept. 2024PodcastThe More You Constrain an Agent, the More You Can Trust ItModeration: Nathan LabenzAgent.ai engineering lead Andrei Oprisan tells Nathan Labenz why narrow, highly prescribed workflows beat open-ended autonomy — and how a 12-person team shipped a free agent network past 40,000 users in a few months.AgentenAgent EngineeringWorkflow automation+3
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Sequoia Capital· 27. Aug. 2024PodcastA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.AgentenAgent EngineeringEvals+3
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Sequoia Capital· 16. Juli 2024PodcastAlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.AgentenAgent EngineeringReinforcement Learning+3
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Cognitive Revolution "How AI Changes Everything"· 9. Juli 2024PodcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayModeration: Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimizationAgent Engineering+3
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Sequoia Capital· 25. Juni 2024PodcastDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.Coding-AgentenAgent EngineeringEvals+3
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Cognitive Revolution "How AI Changes Everything"· 22. Juni 2024PodcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Moderation: Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.Modelle & TrainingAI in healthcareMultimodal AI+3
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