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1:30:28EN
Cognitive Revolution "How AI Changes Everything"· Feb 12, 2025PodcastA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative SocietyHost 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.AgentsMulti-agent systemsSafety & governance+3
57:11EN
Unsupervised Learning: With Jacob Effron· Jan 30, 2025PodcastA Million Tokens Cannot Write a Good JokeHost 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· Jan 28, 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.AgentsReinforcement LearningAgent engineering+3
1:01:30EN
Matthew Berman· Dec 31, 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
5 slides19:06EN
Matthew Berman· Dec 28, 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 engineeringAgentsEvals+1
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· Dec 26, 2024Podcast · 2 speakersAfter adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerHost 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.Enterprise & strategyAI StrategyInfrastructure & deployment+3
1:46:41EN
Cognitive Revolution "How AI Changes Everything"· Dec 21, 2024PodcastFrontier Models Hit the 10th–40th Percentile on Real AI R&DHost 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· Dec 18, 2024Podcasto1 Is a New Generation — and the Day AGI Arrives Will Feel BoringHost 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.Models & trainingReasoning & test-time computeAgent engineering+3
48:18EN
Unsupervised Learning: With Jacob Effron· Dec 6, 2024PodcastNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomHost Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.Models & trainingReasoning & test-time computeAGI+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· Dec 5, 2024PodcastAI Beats Humans at Reading Papers. It Still Cannot Count Atoms.Host 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.AgentsAI for scienceRetrieval-augmented generation+3
1:27:33EN
Cognitive Revolution "How AI Changes Everything"· Dec 3, 2024PodcastA 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a DayHost 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.AgentsAgent engineeringComputer use+3
1:03:07EN
Sequoia Capital· Nov 26, 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.AgentsAgent engineeringEnterprise AI+3
5 slides10:57EN
Matthew Berman· Nov 16, 2024Tracing a CrewAI Agent Workflow with LangtraceMatthew Berman · Forward FutureMatthew Berman builds a research-and-reporting crew, adds Langtrace, and inspects traces, token usage, timing and model costs.Agent engineeringEvals & observabilityAI cost & performance+1
7 slides1:42:56EN
Matthew Berman· Nov 12, 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· Oct 8, 2024Podcast · 2 speakersHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.Host 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"· Oct 2, 2024Podcast30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkHost 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 agentsAgent engineeringFine-tuning+3
16:57EN
Matthew Berman· Sep 30, 2024Jensen Huang and Marc Benioff on AI Agents and the Future of ComputingMatthew Berman, Jensen Huang, Marc Benioff · Forward FutureMatthew Berman comments on a 2024 Dreamforce discussion about agent collaboration, training, safety, and making AI tools practical.AI agentsAgent engineeringModels & training+2
48:31EN
No Priors: AI, Machine Learning, Tech, & Startups· Sep 19, 2024Podcast · 2 speakersA Call Center Contact Costs $13. A Company Agent Can Do It for Under a DollarHost 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.AgentsAgent engineeringCustomer support automation+3
2:03:55EN
Cognitive Revolution "How AI Changes Everything"· Sep 18, 2024PodcastThe More You Constrain an Agent, the More You Can Trust ItHost 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.AgentsAgent engineeringWorkflow automation+3
1:12:31EN
Sequoia Capital· Aug 27, 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.AgentsAgent engineeringEvals+3
5 slides9:58EN
Matthew Berman· Aug 2, 2024Abstract AI: A Proposed Routing Layer for Language ModelsMatthew Berman · Forward FutureMatthew Berman outlines a startup idea for choosing models and workflows by cost, speed and quality.Model routing & gatewaysAI cost & performanceAgent engineering+2
1:07:05EN
Sequoia Capital· Jul 16, 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.AgentsAgent engineeringReinforcement Learning+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· Jul 9, 2024PodcastHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayHost 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
59:11EN
Sequoia Capital· Jun 25, 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 agentsAgent engineeringEvals+3
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