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10 slides47:08EN
Jane Street· Apr 3, 2025Chris Casinghino on Making OCaml Safe for Performance EngineeringChris Casinghino · Jane StreetJane Street’s OCaml extensions use layouts and modes to offer more control over memory and parallelism while preserving safety and familiar programming patterns.Programming LanguagesSoftware engineering
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No Priors: AI, Machine Learning, Tech, & Startups· Apr 3, 2025Podcast · 2 speakersNasdaq Down 8% and Ghibli Everywhere: AI Is Already in Inning ThreeHost Sarah Guo, Elad GilSarah Guo and Elad Gil on the latest image-gen wow cycle, why public-market panic is mostly noise for software startups, and where specialized models still have room.Enterprise & strategyAI StrategyGenerative media+3
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Cognitive Revolution "How AI Changes Everything"· Apr 2, 2025PodcastWhen o1 Started Losing at Chess, It Rewrote the Board FileHost Nathan LabenzJeffrey Ladish of Palisade Research on reward hacking by reasoning models, two paths to losing control of AI, and why honesty and relentless problem-solving pull in opposite directions.Security & safetyReward hackingSafety & governance+3
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Matthew Berman· Apr 1, 2025Runway Gen-4 Examples: Cinematic Motion, Style and Visible ErrorsMatthew Berman · Forward FutureMatthew Berman reviews early generated clips, praising their visual detail while identifying awkward interactions and inconsistent physics.Vision & videoGenerative media
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Sequoia Capital· Apr 1, 2025PodcastThe Man Who Took HubSpot CRM to $40 Million Says the Data Model Has to Be Thrown OutDay.ai founder Christopher O’Donnell tells Sequoia’s Pat Grady why classic CRM is compressed pixel art, why full self-driving scared his users, and why every line of code has to make every other line more valuable.Enterprise & strategyEnterprise AIProduct Strategy+3
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20VC with Harry Stebbings· Mar 31, 2025Podcast · 2 speakersKevin Scott on AI Products, DeepSeek and the Future of SoftwareGuest Kevin Scott · Host Harry StebbingsMicrosoft’s CTO discusses model efficiency, agents, coding and why useful products matter in an AI transition.AI StrategyAI agentsSoftware engineering+2
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Matthew Berman· Mar 31, 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 researchModels & trainingAI Safety+1
2:01:11ZH → English
Zhang Xiaojun Podcast· Mar 30, 2025Podcast · 2 speakersLi Guangmi on Pretraining, Agents, and a Roadmap to AGIGuest 李广密 · Host 张小珺In a first-quarter 2025 interview, Li Guangmi discusses base models, coding environments, agents, and global AI competition, and shares highly uncertain forecasts.Models & trainingAI researchCoding agents+2
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Lex Fridman· Mar 30, 2025Podcast · 2 speakersFrom a Ukrainian Dugout, Douglas Murray Refuses to Forget the ObviousGuest Douglas Murray · Host Lex FridmanWatching the Oval Office blowup from an eastern-front bunker, the author of *On Democracies and Death Cults* talks Putin, Zelenskyy, Hamas, Netanyahu, and the people who say they love death more than life.GeopoliticsPolitical PhilosophyLeadership+2
6 slides11:31EN
Matthew Berman· Mar 29, 2025AI News in March 2025: GPT-4o, Gemini, DeepSeek and MCPMatthew Berman · Forward FutureMatthew Berman reviews model updates, the ARC-AGI-2 benchmark, image generators and early adoption of Model Context Protocol.Foundation ModelsBenchmarksMCP+2
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Cognitive Revolution "How AI Changes Everything"· Mar 29, 2025PodcastAlways Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way DownHost 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.AgentsAgent engineeringContext engineering+3
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20VC with Harry Stebbings· Mar 28, 2025Podcast · 2 speakersJulia Hoggett on London Listings, Pension Reform and the UK’s Capital MarketsGuest Julia Hoggett · Host Harry StebbingsThe London Stock Exchange plc CEO argues that pension reform and more domestic investment could reconnect British savers with growing companies. She challenges common comparisons with US listings while acknowledging the trade-offs.Venture CapitalLeadership
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Unsupervised Learning: With Jacob Effron· Mar 28, 2025PodcastOpen-source models are 5% of enterprise use — and GPT wrappers wonHost 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.Enterprise & strategyProduct-Market FitAI Strategy+3
6 slides17:03EN
Matthew Berman· Mar 28, 2025Matthew Berman Explores GPT-4o Image Generation and Its LimitsMatthew Berman · Forward FutureFrom animated trailer remakes to infographics and interface mockups, early examples show creative possibilities alongside persistent errors.Generative mediaVision & videoCreativity+2
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Matthew Berman· Mar 27, 2025NVIDIA NIM Microservices Bring Packaged AI Models to RTX PCsMatthew Berman · Forward FutureIn an NVIDIA-sponsored short, Matthew Berman introduces local AI microservices, compatible applications and the planned PDF-to-podcast workflow.Infrastructure & deploymentLocal inferenceAI agents
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No Priors: AI, Machine Learning, Tech, & Startups· Mar 27, 2025Podcast · 2 speakersTwo in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them StayHost Sarah Guo, Elad GilAbridge CEO Shiv Rao on treating the doctor-patient conversation as healthcare's source of truth, and why the company ran straight at the hardest health systems.Enterprise & strategyAI in healthcareVoice AI+3
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Cognitive Revolution "How AI Changes Everything"· Mar 27, 2025PodcastHe Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line RepoHost Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.Coding agentsContext engineeringRetrieval-augmented generation+3
6 slides18:31EN
Matthew Berman· Mar 26, 2025Gemini 2.5 Pro Experimental: Coding Demos and Launch BenchmarksMatthew Berman · Forward FutureIn March 2025, Matthew Berman tests Google’s experimental model on interactive simulations and reviews its launch benchmarks, including their limits.GeminiCoding agentsBenchmarks+2
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20VC with Harry Stebbings· Mar 26, 2025Podcast · 2 speakersMitchell Green on Finding Software Companies and Returning Capital to InvestorsGuest Mitchell Green · Host Harry StebbingsLead Edge Capital’s founder explains his sourcing framework, exit discipline and skepticism about paying high prices for AI.Venture CapitalInvestingEnterprise & strategy+2
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Lex Fridman· Mar 26, 2025PodcastDemocrats still think politics runs on money. It runs on attention.Host Lex FridmanEzra Klein and Derek Thompson tell Lex Fridman why the left keeps authorizing billions it cannot build, and why DOGE is a fight over control rather than efficiency.Political PhilosophyGeopoliticsLeadership
5 slides24:14EN
Matthew Berman· Mar 26, 2025GPT-4o Image Generation: Launch Demos, Editing, and LimitationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman reviews OpenAI's March 2025 image-generation launch, testing text rendering, image editing, and visual consistency.Generative mediaMultimodal AIOpenAI+1
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Sequoia Capital· Mar 25, 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.AgentsAgent engineeringPrompting & in-context learning+3
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20VC with Harry Stebbings· Mar 24, 2025Podcast · 2 speakersAndrew Feldman on AI Chips, Inference and Competing With NvidiaGuest Andrew Feldman · Host Harry StebbingsThe Cerebras CEO explains wafer-scale computing, argues inference demand will grow and discusses the limits of his industry’s infrastructure.SemiconductorsAI cost & performanceInference+2
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· Mar 23, 2025PodcastA Year to Grow a Brain Organoid, an Hour to Simulate ItHost Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.Models & trainingAI for scienceComputational Biology+3
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