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3 slides15:45EN
Matthew Berman· Apr 18, 2025AI News: Gemini 2.5 Flash, OpenAI Models, Claude Research and Kling 2.0Matthew Berman · Forward FutureMatthew Berman reviews a week of 2025 model releases, research tools and agent announcements, including historical price and benchmark comparisons.Models & trainingAI cost & performanceAgents
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Cognitive Revolution "How AI Changes Everything"· Apr 10, 2025PodcastFor under $10, Google's AI independently recovered a lab result nobody had publishedHost Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.AgentsAI in healthcareAI for science+3
3 slides7:33EN
Matthew Berman· Apr 4, 2025Ace Computer-Use Agent: Fast Desktop and Browser DemonstrationsMatthew Berman · Forward FutureMatthew Berman reviews General Agents’ examples and reported click accuracy and latency, while noting he has not yet tested Ace himself.Computer useAgentsBenchmarks
2:14:59EN
Cognitive Revolution "How AI Changes Everything"· Mar 29, 2025PodcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownHost Nathan LabenzThe Firebase co-founder argues that workflow software is already obsolete, that MCP is optional, and that the only durable advantage left for an AI startup is speed.AgentsAgent engineeringContext engineering+3
43:04EN
Sequoia Capital· Mar 25, 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.AgentsAgent engineeringPrompting & in-context learning+3
3 slides27:32EN
Matthew Berman· Mar 12, 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 engineeringAgentsMCP & tools+1
32:46EN
Sequoia Capital· Feb 25, 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.AgentsAgent engineeringReinforcement Learning+3
44:34EN
Unsupervised Learning: With Jacob Effron· Feb 19, 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyHost 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.AgentsAgent engineeringReinforcement Learning+3
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
1:50EN
Matthew Berman· Jan 30, 2025Five AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.Enterprise AIAgentsModels & training+1
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
5 slides37:58EN
Matthew Berman· Jan 23, 2025OpenAI Operator’s 2025 Launch: Browser Tasks, Human Control and LimitsMatthew Berman, Sam Altman · Forward FutureMatthew Berman watches the early Operator demonstration, from restaurant bookings and groceries to safety controls and benchmark results.Computer useAgentsAI Safety+1
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· Jan 16, 2025Podcast · 2 speakersBilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't SellHost Sarah Guo, Elad GilJesse Zhang on why customer support is the golden agent use case, why instruction following beats o1-style reasoning, and the two filters that kill most agent startups.AgentsCustomer support automationAgent orchestration+3
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
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Cognitive Revolution "How AI Changes Everything"· Dec 18, 2024PodcastHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.Host Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.AgentsAgent orchestrationMulti-agent systems+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
2 slides10:20EN
Matthew Berman· Nov 30, 2024How the Freysa AI Agent Was Persuaded to Release a Crypto Prize PoolMatthew Berman · Forward FutureMatthew Berman examines a 2024 adversarial game in which a misleading message caused an AI agent to approve a 13.19 ETH payout.Prompt injectionAI securityAgents+2
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
39:22EN
No Priors: AI, Machine Learning, Tech, & Startups· Nov 14, 2024Podcast · 2 speakersA Fields Medalist Stuck for Two Hours. AlphaProof Climbed for Three Days.Host Sarah Guo, Elad GilThe DeepMind team behind AlphaProof tells Sarah Guo and Elad Gil how an AlphaZero-style agent, a Lean verifier, and test-time reinforcement learning reached IMO silver — and why the missing skill is still theory building.AgentsReinforcement LearningReasoning & test-time compute+1
3 slides13:34EN
Matthew Berman· Sep 23, 2024Sam Altman’s “Intelligence Age”: Superintelligence, Scaling and WorkMatthew Berman · Forward FutureMatthew Berman reads Altman’s 2024 essay and discusses its predictions for AI assistants, education, infrastructure and jobs.AGIScaling LawsAgents+1
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
49:14EN
Sequoia Capital· Sep 17, 2024PodcastHumanoid robots fell from $1.5 million to $30,000. The GPT-3 moment is still a verbNvidia’s Jim Fan tells Sequoia how three kinds of data, a humanoid bet, and a System-1 motor-control model could unlock general-purpose robots.AgentsRoboticsScaling Laws+3
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