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1:01:53EN
Unsupervised Learning: With Jacob Effron· 28. März 2025PodcastOpen-source models are 5% of enterprise use — and GPT wrappers wonModeration: Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.Unternehmen & StrategieProduct-Market FitAI Strategy+3
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 27. März 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoModeration: Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.Coding-AgentenContext EngineeringRetrieval-Augmented Generation+3
43:04EN
Sequoia Capital· 25. März 2025Podcast750 Million Excel Users, 30 Million Engineers: Wordware's Bet on Word ArtisansFilip Kozera tells Sequoia why English is the assembly language of LLMs, and why the people who win will be the ones who can encode taste into structured prompts.AgentenAgent EngineeringPrompting & in-context learning+3
50:35EN
No Priors: AI, Machine Learning, Tech, & Startups· 13. März 2025Podcast · 2 StimmenCopilot Already Writes Half the Code. GitHub's CEO Says Agents Still Have Four Gates to ClearModeration: Sarah Guo, Elad GilThomas Dohmke on agent mode, why median developers are not going anywhere, and how AI is repricing the tools that write software.Coding-AgentenEntwicklungs-Workflows & TestsAgent Engineering+3
54:10EN
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
32:46EN
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
44:34EN
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
1:30:28EN
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
57:11EN
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
52:30EN
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
1:01:30EN
Matthew Berman· 31. Dez. 2024AutoGen and AG2: Chi Wang and Qingyun Wu on Building Multi-Agent SystemsMatthew Berman, Chi Wang, Qingyun Wu · Forward FutureThe AutoGen creators trace their open-source journey and explain how they approach agent workflows, human oversight and the move to AG2.Multi-agent systemsAgent EngineeringAgent orchestration+2
1:46:41EN
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
1:07:32EN
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
48:18EN
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
1:55:53EN
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
1:27:33EN
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
1:03:07EN
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
7 Folien1:42:56EN
Matthew Berman· 12. Nov. 2024Building a Research and Writing Flow with CrewAIMatthew Berman, João Moura · Forward FutureMatthew Berman and CrewAI founder João Moura build and debug a two-crew workflow for planning and drafting educational articles.Agent orchestrationAgent EngineeringMulti-agent systems+2
38:28EN
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
1:09:09EN
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
48:31EN
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
2:03:55EN
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
1:12:31EN
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
1:07:05EN
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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