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38:25EN
Sequoia Capital· 27 mai 2025PodcastA 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.AgentsIngénierie d’agentsSynthetic data+3
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Cognitive Revolution "How AI Changes Everything"· 22 mai 2025PodcastClaude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the UserAnime : 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.Agents de codeIngénierie d’agentsÉvaluations+3
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Unsupervised Learning: With Jacob Effron· 22 mai 2025PodcastThe New Ruler for Models Is How Long They Can WorkAnime : 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.Agents de codeIngénierie d’agentsÉvaluations+3
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Unsupervised Learning: With Jacob Effron· 8 mai 2025PodcastAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeAnime : 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.Modèles et entraînementÉvaluationsPost-training+3
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No Priors: AI, Machine Learning, Tech, & Startups· 1 mai 2025Podcast · 2 voixo3 should wait exactly as long as the answer takesAnime : 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.Modèles et entraînementReasoning & test-time computeReinforcement Learning+3
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Matthew Berman· 1 mai 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.Agents de codeIngénierie d’agentsAI Strategy+2
7 diapositives14:04EN
Matthew Berman· 29 avr. 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 modelsModèles et entraînementReasoning & test-time compute+2
4 diapositives19:06EN
Matthew Berman· 25 avr. 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
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No Priors: AI, Machine Learning, Tech, & Startups· 24 avr. 2025Podcast · 2 voixDeep Research Turned Web Browsing into a Trainable ProblemAnime : 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.AgentsIngénierie d’agentsReinforcement Learning+3
7 diapositives15:46EN
Matthew Berman· 16 avr. 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
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No Priors: AI, Machine Learning, Tech, & Startups· 10 avr. 2025Podcast · 2 voixMercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.Anime : 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.Entreprise et stratégieÉvaluationsIngénierie d’agents+3
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Cognitive Revolution "How AI Changes Everything"· 10 avr. 2025PodcastFor under $10, Google's AI independently recovered a lab result nobody had publishedAnime : 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.AgentsAI in healthcareAI for science+3
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Sequoia Capital· 8 avr. 2025PodcastHe 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.Agents de codeIngénierie d’agentsDeveloper productivity+3
8 diapositives23:50EN
Matthew Berman· 3 avr. 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.ÉvaluationsAI researchIngénierie d’agents+2
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Cognitive Revolution "How AI Changes Everything"· 29 mars 2025PodcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownAnime : 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.AgentsIngénierie d’agentsIngénierie du contexte+3
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Unsupervised Learning: With Jacob Effron· 28 mars 2025PodcastOpen-source models are 5% of enterprise use — and GPT wrappers wonAnime : Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.Entreprise et stratégieProduct-Market FitAI Strategy+3
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Cognitive Revolution "How AI Changes Everything"· 27 mars 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoAnime : Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.Agents de codeIngénierie du contexteGénération augmentée par récupération+3
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Sequoia Capital· 25 mars 2025Podcast750 Million Excel Users, 30 Million Engineers: Wordware's Bet on Word ArtisansFilip Kozera tells Sequoia why English is the assembly language of LLMs, and why the people who win will be the ones who can encode taste into structured prompts.AgentsIngénierie d’agentsPrompting & in-context learning+3
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No Priors: AI, Machine Learning, Tech, & Startups· 13 mars 2025Podcast · 2 voixCopilot Already Writes Half the Code. GitHub's CEO Says Agents Still Have Four Gates to ClearAnime : Sarah Guo, Elad GilThomas Dohmke on agent mode, why median developers are not going anywhere, and how AI is repricing the tools that write software.Agents de codeWorkflows de développement et testsIngénierie d’agents+3
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Matthew Berman· 13 mars 2025Dario Amodei’s 2025 AI Coding Forecast and Matthew Berman’s ResponseMatthew Berman, Dario Amodei, Mark Zuckerberg · Forward FutureBerman considers a rapid forecast for AI-written code, the rise of coding agents, and speculative longer-term changes to software work.Agents de codeFuture of WorkVibe Coding+2
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Matthew Berman· 12 mars 2025OpenAI’s Responses API and Agents SDK: A Launch WalkthroughMatthew Berman · Forward FutureMatthew Berman reacts to a launch demonstration of web and file search, computer use, agent handoffs and tracing.Ingénierie d’agentsAgentsMCP et outils+1
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Sequoia Capital· 11 mars 2025PodcastHarvey Built Legal AI for the Work the Next Model Still Cannot DoCEO Winston Weinberg on citations, process data, and the unscalable tactics that won over century-old law firms.Entreprise et stratégieIA en entrepriseProduct Strategy+3
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Sequoia Capital· 25 févr. 2025PodcastDon't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.AgentsIngénierie d’agentsReinforcement Learning+3
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Unsupervised Learning: With Jacob Effron· 19 févr. 2025PodcastThe Cheaper Intelligence Gets, the More of It We'll BuyAnime : Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.AgentsIngénierie d’agentsReinforcement Learning+3
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