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42 篇
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34:56EN
Sequoia Capital· 2026年5月13日播客On Suno, 90% of Daily Users Make a SongCEO Mikey Shulman on modeling raw sound instead of music theory, why music is not an LLM-style scale problem, and treating creation itself as the entertainment.多模态与媒体Generative mediaProduct Strategy+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月4日播客Frontier vision models score 12.5%: Joseph Nelson on the real waterline of computer vision主持 Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.多模态与媒体Multimodal AI视觉与视频+3
2:33:48EN → 简体中文
Lex Fridman· 2026年2月28日播客 · 2 人对谈里克·比托学会的第一段吉他独奏是《Hey Joe》嘉宾 Rick Beato · 主持 Lex Fridman莱克斯·弗里德曼与音乐教育者里克·比托聊了塑造他的几位吉他手、耳朵如何训练,以及 AI 能否写出值得听的歌。多模态与媒体Generative mediaCreativity
41:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年12月11日播客 · 2 人对谈ElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the Interface主持 Sarah Guo, Elad GilIn Poland, watching a foreign film is a special kind of pain: one narrator, every character, a flat delivery from start to finish.多模态与媒体语音 AIGenerative media+3
43:38EN
Sequoia Capital· 2025年11月11日播客A 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.多模态与媒体Generative mediaMultimodal AI+3
1:00:26EN
Sequoia Capital· 2025年11月6日播客Seven Million Videos a Day, and Most Return Visits Are Spent CreatingOpenAI's Sora 2 leads walk through diffusion transformers, physics that rebounds off the backboard, and a feed designed against mindless scrolling.多模态与媒体Generative media视觉与视频+3
42:20EN
Unsupervised Learning: With Jacob Effron· 2025年9月17日播客A Name Invented at 2:30 a.m. Put Gemini on Top of the App Store主持 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.多模态与媒体Multimodal AIGenerative media+3
35:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年6月5日播客 · 2 人对谈Fei-Fei Li’s new bet: AI is incomplete without spatial intelligence主持 Sarah Guo, Elad GilThe ImageNet pioneer tells Sarah Guo and Elad Gil why World Labs is building 3D generative foundation models, and why language was only one piece of the puzzle.多模态与媒体Multimodal AI视觉与视频+3
53:51EN
Sequoia Capital· 2025年6月3日播客Veo 3 Took First Place by Beating Veo 2. Google Labs Says Chapter Two Just StartedThree Google Labs leads walk through generative cameras, background computer-use agents, and notebooks that adapt knowledge for an audience of one.多模态与媒体视觉与视频Generative media+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月11日播客A Robot-Arm Shot That Took Months Now Lives in a Prompt主持 Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.多模态与媒体Generative mediaMultimodal AI+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日播客With One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o主持 Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.多模态与媒体Multimodal AI视觉与视频+3
46:35EN
Sequoia Capital· 2024年11月13日播客They trained a real-time video model in 20 hours and skipped the game engineDecart CEO Dean Leitersdorf tells Sequoia how Oasis runs live on H100s, why ChatGPT is a fallen wall rather than a pain point, and why the next trillion-dollar company may be a generated experience.多模态与媒体Generative media视觉与视频+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月9日播客A Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalization主持 Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.多模态与媒体视觉与视频Generative media+3
1:03:22EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月2日播客A 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demo主持 Nathan LabenzJoshua Xu and Benchmark’s Victor Lazarte tell Nathan Labenz how a camera-replacement product grew past 40,000 business customers — and why half the faces on this episode are fake.多模态与媒体Generative media视觉与视频+3
27:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月20日播客 · 2 人对谈A 40-Person Company With 40,000 Paying Customers Wants to Replace the Camera With AI主持 Sarah Guo, Elad GilHeyGen CEO Joshua Xu tells Sarah Guo and Elad Gil how avatars, localization, and a component-wise video stack are meant to knock the camera out of content production.多模态与媒体Generative media视觉与视频+3
30:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年5月16日播客 · 2 人对谈Suno's CEO Thinks a Billion People Will Make Music, Not Just Stream It主持 Sarah Guo, Elad GilMikey Shulman tells No Priors why Suno skipped speech, charges from day one, and wants the line between listener and creator to disappear.多模态与媒体Generative mediaMultimodal AI+3
31:24EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年4月25日播客 · 2 人对谈Sora's Leads: A Minute of HD Video Is Just the GPT-1 of Video Models主持 Sarah Guo, Elad GilAditya Ramesh, Tim Brooks, and Bill Peebles tell No Priors why text-to-video sits on the path to AGI, why they started from scratch instead of extending an image generator, and why they still have no product date.多模态与媒体视觉与视频World models+3
24:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年4月18日播客 · 2 人对谈Image Generation Is Still a Loot Box. Suhail Doshi Wants to Scale Pixels主持 Sarah Guo, Elad GilThe Playground AI founder tells No Priors why he skipped language models, how a noise-sampling trick fixed SDXL's muddy brightness, and what a large vision model would actually do.多模态与媒体Generative media视觉与视频+3
1:34:11EN
Cognitive Revolution "How AI Changes Everything"· 2024年4月17日播客From forty hours in a scanner to one: reconstructing what you see from a shared brain space主持 Nathan LabenzPaul Scotti explains how MindEye2 maps a new person's fMRI into CLIP with an hour of data, and why a linear layer plus better image generators changed the cost of reading minds.多模态与媒体Brain-Computer InterfacesNeuroscience & AI+3
1:21:28EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月26日播客The Prompt Is a Bug: Suhail Doshi’s Bet on Control Over Pixels主持 Nathan LabenzThe Mixpanel founder tells Nathan Labenz how a cloud browser, a canceled tweet, and a Thursday weight drop shaped Playground AI’s bet on images.多模态与媒体Generative media视觉与视频+3
1:17:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月9日播客Hume wants well-being in the objective function, measured 53 emotions at a time主持 Nathan LabenzAlan Cowen tells Nathan Labenz how Hume AI reads face, voice, and language, sells custom models at $1.66 an hour, and wants long-horizon well-being to override every other AI goal.多模态与媒体Multimodal AI语音 AI+3
1:04:38EN
Lex Fridman· 2023年9月28日播客 · 2 人对谈Hundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the Wrinkles嘉宾 Mark Zuckerberg · 主持 Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.多模态与媒体Product StrategyHuman-AI Collaboration+3
1:30:21EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月14日播客A Million DALL-E Images, Distilled into Twelve Minutes of Film主持 Nathan LabenzWaymark’s Stephen Parker and Josh Rubin walk through how they turned stills from DALL-E 2 into The Frost, a narrative short, and what the next generation of video models changes.多模态与媒体Generative media视觉与视频+3
39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年7月20日播客 · 2 人对谈Why AI Video Is Still a Four-Second Corgi主持 Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.多模态与媒体Generative media视觉与视频+3
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