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9 diapositivas15:30EN
Matthew Berman· 31 jul 2025Qwen3 Tested: Coding Demos, Long Context and Response BehaviorMatthew Berman · Forward FutureMatthew Berman tests generated simulations, political and safety prompts, hand tracking and word puzzles using a hosted Qwen3 model.Open-weight modelsAgentes de programaciónEvaluaciones+2
30:11EN
Sequoia Capital· 30 jul 2025PódcastFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.Modelos y entrenamientoReasoning & test-time computeBenchmarks+3
1:02:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 17 jul 2025Pódcast · 2 vocesEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other HalfPresenta: 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.Agentes de programaciónIngeniería de agentesEvaluaciones+3
38:10EN
Cognitive Revolution "How AI Changes Everything"· 16 jul 2025PódcastPlus Five for Format, Plus Ten if It CompilesPresenta: Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.Modelos y entrenamientoAjuste finoPost-training+3
41:13EN
Sequoia Capital· 11 jul 2025PódcastFrom 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.AgentesAI for scienceMulti-agent systems+3
42:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 26 jun 2025Pódcast · 2 vocesAlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%Presenta: Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.Agentes de programaciónIngeniería de agentesEvaluaciones+3
54:53EN
Unsupervised Learning: With Jacob Effron· 17 jun 2025PódcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Presenta: Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.Evaluaciones y observabilidadEvaluacionesBenchmarks+3
5 diapositivas11:24EN
Matthew Berman· 10 jun 2025Runner H and Surfer-H: A Browser Agent and Its Holo1 ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates H Company’s browser agent and reviews its research on visual navigation. The paper’s benchmark configuration and the demo’s missing links show why results need context.Computer useAI agentsOpen-weight models+1
9 diapositivas22:05EN
Matthew Berman· 9 jun 2025Apple’s “Illusion of Thinking”: Puzzle Limits and a Code-Assisted TestMatthew Berman, Ilya Sutskever · Forward FutureMatthew Berman reviews Apple’s reasoning-model experiments and tests a different way to solve Tower of Hanoi using generated code.Reasoning & test-time computeBenchmarksEvaluaciones+1
44:21EN
Unsupervised Learning: With Jacob Effron· 4 jun 2025PódcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsPresenta: Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.Evaluaciones y observabilidadEvaluacionesData quality & curation+3
38:25EN
Sequoia Capital· 27 may 2025PódcastA thousand airplanes will never train an AI engineerFormer Airbus CTO Paul Eremenko explains why physical-world engineering still has no coding-AI moment, and how P-1 AI's agent Archie is supposed to get there anyway.AgentesIngeniería de agentesSynthetic data+3
1:01:51EN
Cognitive Revolution "How AI Changes Everything"· 22 may 2025PódcastClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the UserPresenta: Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.Agentes de programaciónIngeniería de agentesEvaluaciones+3
57:31EN
Unsupervised Learning: With Jacob Effron· 22 may 2025PódcastThe New Ruler for Models Is How Long They Can WorkPresenta: Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.Agentes de programaciónIngeniería de agentesEvaluaciones+3
2:02:51EN
Cognitive Revolution "How AI Changes Everything"· 8 may 2025PódcastAt a 60-Person Safety Offsite, Only Four Had Seen Nonprofit OpenAIPresenta: Nathan LabenzFormer OpenAI scientist Steven Adler on the Anthropic split, GPT-4, safety evaluations, and why he filed a brief to keep the company under nonprofit control.SeguridadSeguridad y gobernanzaEvaluaciones+3
47:00EN
Unsupervised Learning: With Jacob Effron· 8 may 2025PódcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadePresenta: Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.Modelos y entrenamientoEvaluacionesPost-training+3
2:29:00EN
Cognitive Revolution "How AI Changes Everything"· 4 may 2025PódcastAssume the Model Is Already Scheming — Then Put It to WorkPresenta: Nathan LabenzRedwood Research CEO Buck Shlegeris tells Rob Wiblin how to extract useful labor from AIs you cannot certify as aligned, using audits, honeypots, resampling, and factored cognition.SeguridadSeguridad y gobernanzaAI security+3
51:19EN
Unsupervised Learning: With Jacob Effron· 29 abr 2025PódcastSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductPresenta: Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.Producto y UXAI in EducationProduct Strategy+3
4 diapositivas19:06EN
Matthew Berman· 25 abr 2025Sleep-Time Compute: Preparing AI Context Before a QuestionMatthew Berman · Forward FutureMatthew Berman reviews a 2025 paper on moving some reasoning ahead of a user query, and explains where its experiments found benefits and limits.Reasoning & test-time computeAgent memoryAI cost & performance+2
30:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 24 abr 2025Pódcast · 2 vocesDeep Research Turned Web Browsing into a Trainable ProblemPresenta: Sarah Guo, Elad GilOpenAI researcher Isa Fulford explains why a side project on read-only synthesis became an agent, when reinforcement fine-tuning is worth it, and why models will hack the search engine you gave them.AgentesIngeniería de agentesReinforcement Learning+3
10 diapositivas26:35EN
Matthew Berman· 23 abr 2025Testing Gemini 2.5 Flash on Coding and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman compares Google’s faster model with Gemini 2.5 Pro through interactive simulations, games and questions about a long video.Modelos y entrenamientoAgentes de programaciónMultimodal AI+2
58:11EN
Sequoia Capital· 15 abr 2025PódcastPatrick Hsu Wants an App Store for Biology, Not Just Better DrugsThe Arc Institute co-founder argues that Evo 2, trained on genomes rather than proteins, should underpin tools for every step of the scientific method.Modelos y entrenamientoAI for sciencePretraining & midtraining+3
41:52EN
No Priors: AI, Machine Learning, Tech, & Startups· 10 abr 2025Pódcast · 2 vocesMercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.Presenta: Sarah Guo, Elad GilBrendan Foody tells Sarah Guo and Elad Gil how Mercor automated recruiting for frontier labs — and why building evals may become the world's most common knowledge job.Empresa y estrategiaEvaluacionesIngeniería de agentes+3
5 diapositivas26:05EN
Matthew Berman· 31 mar 2025Inside Claude: What Interpretability Research Reveals—and What It Cannot Yet ExplainMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s case studies on multilingual features, planning, arithmetic, hallucinations and safety.AI researchModelos y entrenamientoAI Safety+1
2:14:59EN
Cognitive Revolution "How AI Changes Everything"· 29 mar 2025PódcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownPresenta: 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.AgentesIngeniería de agentesIngeniería de contexto+3
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