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5 diapositivas22:31EN
Matthew 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.AgentesIngeniería de agentesSeguridad+1
51:56EN
Sequoia 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.Empresa y estrategiaIA empresarialIngeniería de agentes+3
Diapositivas0:57EN
Matthew Berman· 3 feb 2026Tesla Plans to End Model S and X Production as It Turns Factory Space to OptimusMatthew Berman · Forward FutureMatthew Berman discusses the retirement of two flagship vehicles and Tesla’s ambitions for humanoid robots.RoboticsProduct StrategyAutonomous Systems
Diapositivas0:27EN
Matthew Berman· 2 feb 2026Genie 3 and the Prospect of Promptable GamesMatthew Berman · Forward FutureMatthew Berman discusses interactive worlds generated from prompts and speculates about their future in video games.World modelsVisión y vídeoGenerative media
1:15:08EN
20VC with Harry Stebbings· 2 feb 2026Pódcast · 2 vocesOren Zeev on AI, Venture Fund Economics and Investing Against ConsensusInvitado: Oren Zeev · Presenta: Harry StebbingsThe solo investor discusses growth, concentrated portfolios, fund incentives and the uncertainty facing venture firms as AI changes markets.Venture CapitalInvestingAI Strategy+2
Diapositivas0:32EN
Matthew Berman· 1 feb 2026A Prompt for Reducing Familiar AI Writing PatternsMatthew Berman · Forward FutureMatthew Berman discusses a writing checklist and a prompt intended to reduce repetitive AI prose.Prompting & in-context learningCommunicationGenerative media
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 1 feb 2026Pódcast125 million cells took a decade. The next billion takes monthsPresenta: Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.Modelos y entrenamientoAI for scienceData quality & curation+3
5 diapositivas1:22:49EN
Jane Street· 31 ene 2026Bryan Cantrill: Why Software and Hardware Must Be Designed TogetherBryan Cantrill · Oxide Computer CompanyFrom a stubborn CPU reset to disappearing drives, Oxide’s cofounder makes the case for designing and debugging computing systems across the hardware–software boundary.Software engineeringInfraestructura y despliegueObservabilidad y fiabilidad+2
Diapositivas1:01EN
Matthew Berman· 31 ene 2026Moltbook, AI Agents and the Appearance of Private PlansMatthew Berman · Forward FutureMatthew Berman reacts to a post on an agent-oriented social network and questions what AI-to-AI conversations might mean.AI agentsMulti-agent systemsSocial Media+1
4:25:13EN
Lex Fridman· 31 ene 2026PódcastThe Architecture Barely Changed. Data, Cost, and Open Weights Did.Presenta: Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.Modelos y entrenamientoScaling LawsOpen-weight models+3
Diapositivas12:23EN
Matthew Berman· 31 ene 2026Moltbook: An AI Agent Social Network and Its Security QuestionsMatthew Berman · Forward FutureMatthew Berman explores conversations attributed to AI agents on Moltbook and considers privacy, manipulation and operating costs.AgentesAI securityAI Safety+1
0:24EN
Matthew 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.Personal agentsComputer useIngeniería de agentes
30:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 29 ene 2026Pódcast · 2 vocesEmbryos Survive 30 Years Frozen. Until Wants Organs to Stop Racing Private JetsPresenta: Sarah Guo, Elad GilLaura Deming on reversible cryopreservation: pause an organ—and someday a patient—so a few months no longer decide who lives long enough for the next therapy.Company BuildingScience CommunicationFirst Principles+1
1:03:00EN
Unsupervised Learning: With Jacob Effron· 29 ene 2026PódcastA Model That Solves New Math Problems Every Week Still Isn't AGIPresenta: Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.Modelos y entrenamientoReinforcement LearningAGI Timelines+3
4 diapositivas11:31EN
Matthew Berman· 29 ene 2026Exploring Google’s Project Genie: Interactive Worlds with Genie 3AlexAlex tests generated racetracks, alien structures and cloud landscapes, showing both the prototype’s creative options and its control limitations.World modelsGenerative mediaVisión y vídeo+2
1:18:04EN
20VC with Harry Stebbings· 29 ene 2026Pódcast · 3 vocesBrex, AI Inference Costs and the IPO Market: A 20VC RoundtableInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported deals, AI economics and public-market exits. Their valuations, financial figures and predictions are estimates or reported claims, not independently verified results.Venture CapitalAI cost & performanceInvesting+2
1:39:17EN
Cognitive Revolution "How AI Changes Everything"· 29 ene 2026PódcastAI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them UnusedPresenta: Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.Empresa y estrategiaAI RegulationSeguridad y gobernanza+3
1:23EN
Matthew Berman· 28 ene 2026An xAI Engineer's Podcast Remarks and DepartureMatthew Berman · Forward FutureMatthew Berman reviews a former engineer's comments about data centers, AI agents and workplace incentives, while asserting a link to his departure.AI startups & small teamsAI agentsInfraestructura y despliegue
48:03EN
Sequoia 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.Agentes de programaciónIngeniería de agentesDeveloper productivity+3
1:06:37EN
20VC with Harry Stebbings· 26 ene 2026Pódcast · 2 vocesLegora CEO Max Junestrand on Legal AI, Growth and CompetitionInvitado: Max Junestrand · Presenta: Harry StebbingsThe founder discusses enterprise adoption, model choices and pricing, as well as his predictions for legal work and the structure of the market.IA empresarialCompany BuildingProduct Strategy+1
4 diapositivas21:12EN
Matthew Berman· 26 ene 2026Clawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.Personal agentsIngeniería de agentesLocal inference+2
2 diapositivas0:24EN
Matthew Berman· 26 ene 2026Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.AI cost & performancePersonal agentsInference
2:12:31EN
Cognitive Revolution "How AI Changes Everything"· 25 ene 2026PódcastMost Caffeine users have no idea they are on a blockchainPresenta: Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.Infraestructura y despliegueAgentes de programaciónSeguridad y gobernanza+3
2:25:10EN
Cognitive Revolution "How AI Changes Everything"· 22 ene 2026PódcastFine-Tuning Isn't Dead — But It Turned a Helpful Model EvilPresenta: Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.Modelos y entrenamientoAjuste finoSeguridad y gobernanza+3
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