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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
5 Folien10:57EN
Matthew Berman· 16. Nov. 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 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
16:57EN
Matthew Berman· 30. Sept. 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 EngineeringModelle & Training+2
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
5 Folien9:58EN
Matthew Berman· 2. Aug. 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· 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
1:16:22EN
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
59:11EN
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
1:37:07EN
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
49:50EN
Sequoia Capital· 18. Juni 2024PodcastUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.AgentenAgent EngineeringAgent orchestration+3
Folien1:00EN
Matthew Berman· 13. Mai 2024Andrew Ng on Four Agentic AI Design PatternsMatthew Berman, Andrew Ng · Forward FutureA short excerpt identifies reflection, tools, planning and multi-agent collaboration as approaches to building AI agents.AI agentsAgent EngineeringMulti-agent systems
29:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2. Mai 2024Podcast · 2 StimmenDevin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott WuModeration: Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.Coding-AgentenAgent EngineeringDeveloper productivity+3
4 Folien16:22EN
Matthew Berman· 2. Mai 2024Harrison Chase on Planning, Interface Design and Memory for AI AgentsMatthew Berman, Harrison Chase · Forward FutureThe LangChain CEO outlines open questions for agent builders, with commentary from Matthew Berman on oversight, workflows and memory.AI agentsAgent orchestrationAgent memory+2
9 Folien19:09EN
Matthew Berman· 28. Apr. 2024OSWorld: Evaluating Computer-Use Agents in Real ApplicationsMatthew Berman · Forward FutureMatthew Berman explains the 2024 benchmark’s observation–action loop, task-specific checks and early results, with the limitations of its experimental setup.Computer useEvalsBenchmarks+1
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