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2:29:42ENTwelve hooks and thirty files: Daniel Miessler’s personal OS on Claude Code진행자 Nathan LabenzThe PAI framework treats scaffolding, not the model, as the product — a goal-centered agent stack that Miessler thinks will decide both knowledge-work automation and the next cybersecurity race.
1:40:51ENReasoning Models Just Made the Other 80–90% of Enterprise Data Usable진행자 Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.
41:38ENElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the Interface진행자 Sarah Guo, Elad GilIn Poland, watching a foreign film is a special kind of pain: one narrator, every character, a flat delivery from start to finish.
57:37ENThe hot-swap era for models is over, OpenAI's enterprise product chief says진행자 Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.
7:14ENAWS AgentCore Adds Policy Controls, Evaluations and Episodic MemoryMatthew Berman · Forward FutureMatthew Berman examines AWS’s December 2025 agent-platform announcements and the enterprise problems they aim to address.
42:06ENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5진행자 Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
7:49ENDeepSeek V3.2: Reasoning, Sparse Attention and Agent TrainingMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s December 2025 model release, its benchmark results and the techniques used to improve long-context efficiency and tool use.
50:08EN1Mind's AI Superhuman Now Sources 76% of the Pipeline진행자 Nathan LabenzAmanda Kahlow tells Zapier CEO Wade Foster why she tore up the sales org — and why a face on an agent is mostly a trick to get buyers talking.
48:14ENA New Drug Burns $2 Billion and 10 Years. Benchling's CEO Wants AI to Cut That to Three진행자 Sarah Guo, Elad GilMost medicines fail in years seven to ten, after hundreds of millions have already gone into the clinic—and Sajith Wickramasekara thinks sending things to space may already be easier.
27:19ENThe Turing Test Passed. Warp's CEO Says Nobody Seemed to Care진행자 Sarah Guo, Elad GilZach Lloyd on distilling intelligence without consciousness, why a 40-year-old terminal is the front door for coding agents, and why senior engineers just got more expensive.
44:10ENOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.
2:32:18ENInside the Agentic Enterprise: Seven Conversations at Dreamforce 2025Matthew Berman, Nick Wentz, Claire Sparks, Silvio Savarese, Scott O'Neil, Marc Benioff, Paul Smith, Kris Rasmussen, Nancy Xu · Forward FutureAt Dreamforce, Matthew Berman and Nick Wentz speak with leaders from F1, Salesforce, LIV Golf, Anthropic and Figma about enterprise agents, creative tools and the human side of technology.
1:37:25ENFin Climbed From 35% to 65% Resolution. Intercom Says the Models Only Did a Few Points진행자 Nathan LabenzEoghan McCabe and Fergal Reid on production A/B tests, 99-cent outcome pricing, and why GPT-4 was already smart enough for most customer service.
58:21ENAttacks Take 23 Minutes. Response Still Takes Days.진행자 Sarah Guo, Elad GilPalo Alto Networks CEO Nikesh Arora on how AI is remaking search, enterprise software, and the timeline of a cyberattack.
15:54ENClaude Sonnet 4.5: Coding, Long Tasks and a Simulated DesktopMatthew Berman, Dario Amodei · Forward FutureMatthew Berman reviews Anthropic’s launch claims and tries a generated-interface demo.
59:43ENGoose is writing its own pull requests: how Block is trying to save a quarter of the weekCTO Dhanji Prasanna tells Sequoia how an open-source agent, a functional reorg, and a weekly hours-saved metric are turning Block into an AI-first company.
15:29ENBuilding a Multi-Agent Research Team with Strands AgentsMatthew Berman · Forward FutureMatthew Berman builds from a calculator agent to a multi-agent business-report demo, with examples of tools, model selection and orchestration.
42:12ENHire the AI First: Andrew Ng on Agentic Workflows and the Scarcity of Judgment진행자 Sarah Guo, Elad GilOn No Priors, Andrew Ng argues that agentic AI has made software cheap and fast, which moves the bottleneck to product judgment, error analysis, and the instinct to try an AI before adding headcount.
1:48:49EN$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBI진행자 Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.
1:55:50ENForward Future Live: GPT-5, AI Infrastructure, Evaluations and Coding AgentsMatthew Berman, Hiten Shah, Jordan Nanos, Tejal Patwardhan, Guy Gur-Ari · Forward FutureMatthew Berman and Hiten Shah speak with Jordan Nanos, Tejal Patwardhan and Guy Gur-Ari about the economics and measurement of AI in August 2025.
1:35:35ENForward Future Live: Hiten Shah and Nico Christie on AI Strategy, Work and AgentsMatthew Berman, Hiten Shah, Nico Christie · Forward FutureA 2025 livestream covers Meta’s AI strategy, the future of work, a spreadsheet agent, and a week of model and infrastructure news.
37:37ENA dozen people, 28 minutes, and one shared desktopThe OpenAI trio behind ChatGPT Agent explain how Deep Research and Operator became a virtual computer that can reason for half an hour and still ask you before it spends money.
1:02:54ENEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Half진행자 Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.
41:13ENFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.
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