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1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 4일팟캐스트Frontier 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.멀티모달과 미디어Multimodal AI비전과 영상+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 3일팟캐스트With 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.멀티모달과 미디어Multimodal AI비전과 영상+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 9일팟캐스트A 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.멀티모달과 미디어비전과 영상Generative media+3
46:47EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 3일팟캐스트Editing 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.제품과 UXProduct StrategyGenerative media+3
1:03:22EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 2일팟캐스트A 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.멀티모달과 미디어Generative media비전과 영상+3
1:21:28EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 26일팟캐스트The 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.멀티모달과 미디어Generative media비전과 영상+3
1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 9일팟캐스트OpenAI’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.에이전트Autonomous DrivingMultimodal AI+3
1:30:21EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 14일팟캐스트A 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.멀티모달과 미디어Generative media비전과 영상+3
1:18:18EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 20일팟캐스트Fifteen 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.멀티모달과 미디어Neuroscience & AIMultimodal AI+3
1:01:17EN
Cognitive Revolution "How AI Changes Everything"· 2023년 5월 9일팟캐스트The $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.기업과 전략AI StrategyAI startups & small teams+3
1:21:20EN
Cognitive Revolution "How AI Changes Everything"· 2023년 3월 9일팟캐스트Freeze the eyes and the brain. Train only the optic nerve.진행자 Nathan LabenzJunnan Li and Dongxu Li tell Nathan Labenz how BLIP cleaned noisy web captions, and how BLIP-2 connected a frozen vision model to a frozen language model in under ten days on one A100.멀티모달과 미디어Multimodal AI비전과 영상+3
1:23:18EN
Cognitive Revolution "How AI Changes Everything"팟캐스트From GPT-2 to GPT-3 Moments in Robotics: Six DeepMind Papers on Bridging Robots and the Internet진행자 Nathan LabenzKeerthana Gopalakrishnan and Ted Xiao walk through RT-2, RT-X, RT-Trajectory, AutoRT, Learning to Learn Faster and PIVOT, and say what is still missing for general-purpose robots.모델과 학습RoboticsMultimodal AI+3