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48개정렬
31:39ENThe Skull Is Already the Vat: Max Hodak on Restoring Sight진행자 Sarah Guo, Elad GilPatients blinded by macular degeneration put on laser-projector glasses, read books, and fill in Sudoku — because a chip under the retina is sending vision back into the brain.
4:18:22ENEvery Cycle Matters: The Volunteers Who Decode Almost All Internet Video게스트 FFmpeg · 진행자 Lex FridmanLex Fridman talks with Jean-Baptiste Kempf and Kieran Kunhya about FFmpeg, VLC, handwritten assembly, and the unpaid crew behind YouTube, Netflix, and a rover on Mars.
1:57:29ENFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer vision진행자 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.
38:21ENHow a Weekend Webcam Came to See 90 Billion Miles a YearSamsara CEO Sanjit Biswas on edge inference, messy road data, and why physical AI only counts once it is installed.
1:02:19ENA Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.
1:00:26ENSeven 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.
35:47ENFei-Fei Li’s new bet: AI is incomplete without spatial intelligence진행자 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.
53:51ENVeo 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.
3:53:49ENWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o진행자 Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.
46:35ENThey 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.
54:45ENA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalization진행자 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.
46:47ENEditing Video Like a Document: How Descript Puts AI in the Copilot Seat진행자 Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.
1:03:22ENA 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demo진행자 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.
25:56ENA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil stitch together clips from Stripe, Figma, Figure, OpenAI's Sora team, Cognition, and Scale into a half-year snapshot of what people actually shipping AI were willing to claim.
27:26ENA 40-Person Company With 40,000 Paying Customers Wants to Replace the Camera With AI진행자 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.
31:24ENSora's Leads: A Minute of HD Video Is Just the GPT-1 of Video Models진행자 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.
24:32ENImage Generation Is Still a Loot Box. Suhail Doshi Wants to Scale Pixels진행자 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.
1:55:10ENSam Altman Expects the Road to AGI to Be a Power Struggle게스트 Sam Altman · 진행자 Lex FridmanOn a Friday afternoon in November 2023, OpenAI's board fired its CEO. Four and a half days later he was back, still refusing super-voting control.
1:21:28ENThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over Pixels진행자 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.
1:36:39ENOpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Sense진행자 Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.
1:30:21ENA Million DALL-E Images, Distilled into Twelve Minutes of Film진행자 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.
39:50ENWhy AI Video Is Still a Four-Second Corgi진행자 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.
1:18:18ENFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone Saw진행자 Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.
1:01:17ENThe $300 million Gates refused, and the $10 billion that went to OpenAI진행자 Nathan LabenzRobert Scoble and Ben Tossell talk with Nathan Labenz about AI scouting, Apple's still-sleeping neural engines, and whether incumbents or AI-first startups will win.
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