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27:15EN
Matthew Berman· 31 mar 2026Meta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.
58:27EN
Sequoia Capital· 24 mar 2026PódcastEven a dumber AI can win science if it never leaves the labGinkgo Bioworks CEO Jason Kelly tells Sequoia why autonomous labs, not smarter models, will change how experimental science gets done.
1:40:46EN
Cognitive Revolution "How AI Changes Everything"· 22 mar 2026PódcastGive an agent a thousand tools and it will pick the wrong bladePresenta: Nathan LabenzComposio CTO Karan Vaidya on the tool harness that discovers, authenticates, sandboxes, and rewrites integrations so agents can do whole jobs without drowning in context.
1:06:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 20 mar 2026Pódcast · 2 vocesAndrej Karpathy Hasn't Typed a Line of Code Since DecemberPresenta: Sarah Guo, Elad GilOn No Priors, the OpenAI cofounder and former Tesla AI director describes the loopy era of coding agents, AutoResearch, and why the bottleneck is now the human.
11:59ENMatthew Berman· 11 mar 2026How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.
40:56ENSequoia Capital· 10 mar 2026PódcastFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.
40:00ENMatthew Berman· 24 feb 2026How Matthew Berman Built an OpenClaw Workflow for His TeamMatthew Berman · Forward FutureA tour of sponsorship triage, CRM, meeting notes, security, scheduling, memory and backup after a month of heavy use.
54:26ENCognitive Revolution "How AI Changes Everything"· 22 feb 2026PódcastTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-ReadyPresenta: Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
1:34:42ENCognitive Revolution "How AI Changes Everything"· 13 feb 2026PódcastA $500 Kernel, a Ten-Month Village, and the Temper of AgentsPresenta: Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.
3:15:52EN
Lex Fridman· 11 feb 2026Pódcast · 2 vocesThe Voice Note His Bot Couldn't Handle — and the Agent That Built Itself AnywayInvitado: OpenClaw · Presenta: Lex FridmanPeter Steinberger tells Lex Fridman how a one-hour WhatsApp toy became GitHub's fastest-growing project, and what it cost him to keep it open.
44:46ENSequoia Capital· 10 feb 2026PódcastA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.
1:18:49ENCognitive Revolution "How AI Changes Everything"· 8 feb 2026PódcastIf AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous ForensicsPresenta: Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.
1:24:44ENMatthew Berman· 7 feb 2026Forward Future Live: Portable AI Infrastructure, Software and Formal ProofMatthew Berman, Nick Wentz, Tim Davis, Joseph Floyd, Carina Hong · Forward FutureTim Davis, Joseph Floyd and Carina Hong join Matthew Berman and Nick Wentz for a February 2026 discussion.
22:31ENMatthew Berman· 5 feb 2026Matthew Berman’s OpenClaw Setup: Models, Workflows, and SecurityMatthew Berman · Forward FutureA walkthrough of a personal AI assistant’s configuration, scheduling, integrations and practical automations, with attention to the risks of granting it access.
51:56ENSequoia Capital· 3 feb 2026PódcastInsurance Spends $70 Billion on BPOs. Pace Wants 80% Gross Margins InsteadJamie Cuffe tells Sequoia's Training Data how Pace is turning insurance back-office work into agentic process outsourcing—and why every one of its pilots has reached production.
0:24ENMatthew Berman· 30 ene 2026An AI Agent Calls Its Creator and Uses a ComputerMatthew Berman, Alex Finn · Forward FutureMatthew Berman reacts to a clip in which Alex Finn describes an unexpected call and computer activity from an agent named Henry.
48:03ENSequoia Capital· 27 ene 2026PódcastCoding Will Be Solved. The Bottleneck Is Saying What You WantWarp founder Zach Lloyd tells Sequoia's Sonya Huang why a rebuilt terminal became the lucky form factor for coding agents, and why he stopped subsidizing tokens.
39:47ENSequoia Capital· 21 ene 2026PódcastThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.
2:29:42ENCognitive Revolution "How AI Changes Everything"· 18 ene 2026PódcastTwelve hooks and thirty files: Daniel Miessler’s personal OS on Claude CodePresenta: 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.
1:40:51ENCognitive Revolution "How AI Changes Everything"· 14 ene 2026PódcastReasoning Models Just Made the Other 80–90% of Enterprise Data UsablePresenta: Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.
41:38ENNo Priors: AI, Machine Learning, Tech, & Startups· 11 dic 2025Pódcast · 2 vocesElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the InterfacePresenta: 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.
57:37EN
Unsupervised Learning: With Jacob Effron· 10 dic 2025PódcastThe hot-swap era for models is over, OpenAI's enterprise product chief saysPresenta: Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.
42:06ENUnsupervised Learning: With Jacob Effron· 2 dic 2025PódcastAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Presenta: 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.
7:49ENMatthew Berman· 2 dic 2025DeepSeek 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.Cargar másMostrando 24 de 172