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37:37EN
Sequoia Capital· 22 jul 2025PódcastA 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.AgentesComputer useIngeniería de agentes+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
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
59:38EN
Sequoia Capital· 1 jul 2025PódcastElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.Producto y UXIA de vozGenerative media+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
5 diapositivas24:25EN
Matthew Berman· 24 jun 2025Building a Sleep Tracker With Pythagora 2.0Matthew Berman · Forward FutureMatthew Berman demonstrates an AI-assisted development workflow, from an editable specification to testing and debugging a sleep-tracking prototype.Agentes de programaciónFlujos de desarrollo y pruebasAI in healthcare+2
40:33EN
Sequoia Capital· 24 jun 2025PódcastFifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.Evaluaciones y observabilidadObservabilidad y fiabilidadIngeniería de agentes+3
38:48EN
Cognitive Revolution "How AI Changes Everything"· 14 jun 2025PódcastTask Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in ChargePresenta: Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.AgentesIngeniería de agentesSeguridad y gobernanza+3
41:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 12 jun 2025Pódcast · 2 vocesBen Mann thinks superintelligence by 2028 is quite possiblePresenta: Sarah Guo, Elad GilAnthropic's co-founder tells No Priors how Claude 4 unlocked hours of unattended agent work, why the lab built Claude Code, and what an economic Turing test would actually measure.AgentesAgentes de programaciónIngeniería de agentes+3
4 diapositivas18:13EN
Matthew Berman· 2 jun 2025Darwin Gödel Machine: How a Coding Agent Tests Changes to Its Own SoftwareMatthew Berman · Forward FutureMatthew Berman explains Sakana AI’s evolutionary search over agent code, its benchmark results and the limits of claims about recursive self-improvement.Ingeniería de agentesAgentes de programaciónEvaluaciones+2
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
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
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 1 may 2025Pódcast · 2 voceso3 should wait exactly as long as the answer takesPresenta: Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.Modelos y entrenamientoReasoning & test-time computeReinforcement Learning+3
33:18EN
Matthew Berman· 1 may 2025Zuckerberg and Nadella on AI Coding, Agents and the Next Software StackMatthew Berman, Mark Zuckerberg, Satya Nadella · Forward FutureMatthew Berman examines their 2025 LlamaCon conversation about AI-assisted development, open models and changing workflows.Agentes de programaciónIngeniería de agentesAI Strategy+2
7 diapositivas14:04EN
Matthew Berman· 29 abr 2025Qwen3: Open Weights, Adjustable Reasoning and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews the April 2025 Qwen3 family, its benchmark claims, training pipeline and local demonstration.Open-weight modelsModelos y entrenamientoReasoning & test-time compute+2
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
7 diapositivas15:46EN
Matthew Berman· 16 abr 2025OpenAI o3 and o4-mini: Tool Use, Benchmarks and the First Codex CLIMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s April 2025 reasoning-model release, a scientific image-analysis demonstration and the debut of its terminal coding agent.OpenAIReasoning & test-time computeBenchmarks+2
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
1:26:21EN
Cognitive Revolution "How AI Changes Everything"· 10 abr 2025PódcastFor under $10, Google's AI independently recovered a lab result nobody had publishedPresenta: 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.AgentesAI in healthcareAI for science+3
1:26:19EN
Sequoia Capital· 8 abr 2025PódcastHe turned down a billion dollars for a world with a billion developersReplit CEO Amjad Masad tells Sequoia’s Training Data why a six-person company walked away from a life-changing offer, and why a billion people writing software is a better end state than AGI as universal basic income.Agentes de programaciónIngeniería de agentesDeveloper productivity+3
8 diapositivas23:50EN
Matthew Berman· 3 abr 2025PaperBench: How AI Agents Attempt to Replicate Machine-Learning ResearchMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s research-replication benchmark, its partial-credit scoring and the prospect of faster AI research.EvaluacionesAI researchIngeniería de agentes+2
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