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Diapositives0:55EN
Matthew Berman· 7 mai 2026Generating Short AI Videos with Claude and HiggsfieldMatthew Berman · Forward FutureMatthew Berman demonstrates a prompt for whimsical videos and describes connecting Higgsfield to Claude.Generative mediaMCPVision et vidéo
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Cognitive Revolution "How AI Changes Everything"· 4 avr. 2026PodcastFrontier vision models score 12.5%: Joseph Nelson on the real waterline of computer visionAnime : 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.Multimodal et médiasMultimodal AIVision et vidéo+3
4 diapositives11:31EN
Matthew Berman· 29 janv. 2026Exploring Google’s Project Genie: Interactive Worlds with Genie 3AlexAlex tests generated racetracks, alien structures and cloud landscapes, showing both the prototype’s creative options and its control limitations.World modelsGenerative mediaVision et vidéo+2
6 diapositives9:10EN
Matthew Berman· 15 mai 2025Guiding AI Image Generation with Blender and ComfyUIMatthew Berman · Forward FutureMatthew Berman walks through NVIDIA’s RTX blueprint for turning a simple Blender scene and a text prompt into a generated image, from installation to editing the result.Generative mediaVision et vidéoLocal inference+1
6 diapositives17:03EN
Matthew Berman· 28 mars 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 et vidéoCreativity+2
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Cognitive Revolution "How AI Changes Everything"· 3 janv. 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oAnime : Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.Multimodal et médiasMultimodal AIVision et vidéo+3
8 diapositives13:31EN
Matthew Berman· 19 déc. 2024Google Veo 2: Cinematic Controls, Realistic Scenes and Motion LimitsMatthew Berman · Forward FutureMatthew Berman reviews Google’s 2024 video-generation examples, compares selected outputs with Sora and points out where movement or prompt adherence breaks down.Generative mediaVision et vidéoMultimodal AI+1
3 diapositives14:23EN
Matthew Berman· 9 déc. 2024Sora’s Initial Release: Storyboards, Remix and a Launch-Day TestMatthew Berman · Forward FutureMatthew Berman explores the 2024 video generator’s editing tools and reports mixed results from his first attempts.Generative mediaVision et vidéoProduit et UX
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Cognitive Revolution "How AI Changes Everything"· 9 oct. 2024PodcastA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on GeneralizationAnime : 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.Multimodal et médiasVision et vidéoGenerative media+3
4 diapositives11:14EN
Matthew Berman· 18 sept. 2024Pixtral 12B: Testing a 2024 Vision-Language ModelMatthew Berman · Forward FutureMatthew Berman runs informal image, text and interface-generation tests of Mistral’s Pixtral on a sponsor-provided cloud GPU.Multimodal AIVision et vidéoOpen-weight models+1
5 diapositives12:17EN
Matthew Berman· 7 août 2024Testing Gemini 1.5 Pro on Code, Reasoning, Images and VideoMatthew Berman · Forward FutureMatthew Berman compares standard and experimental Gemini versions in an informal 2024 review, finding mixed results and repeated output errors.GeminiÉvaluationsMultimodal AI+2
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Cognitive Revolution "How AI Changes Everything"· 3 août 2024PodcastEditing Video Like a Document: How Descript Puts AI in the Copilot SeatAnime : Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.Produit et UXProduct StrategyGenerative media+3
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Cognitive Revolution "How AI Changes Everything"· 2 août 2024PodcastA 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demoAnime : 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.Multimodal et médiasGenerative mediaVision et vidéo+3
3 diapositives13:37EN
Matthew Berman· 16 mai 2024Testing Gemini 1.5 Pro’s Long Context and Video UnderstandingMatthew Berman · Forward FutureMatthew Berman’s 2024 tests show useful image and video summaries alongside blocked code and missed details.Multimodal AIBenchmarksVision et vidéo+1
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Cognitive Revolution "How AI Changes Everything"· 26 janv. 2024PodcastThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over PixelsAnime : 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.Multimodal et médiasGenerative mediaVision et vidéo+3
Diapositives6:57EN
Matthew Berman· 22 nov. 2023A Camera Narrator Using GPT-4 Vision and ElevenLabsMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 project that turns webcam frames into spoken nature-documentary-style narration.IA vocaleMultimodal AIVision et vidéo
1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 9 nov. 2023PodcastOpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common SenseAnime : 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.AgentsAutonomous DrivingMultimodal AI+3
1:30:21EN
Cognitive Revolution "How AI Changes Everything"· 14 sept. 2023PodcastA Million DALL-E Images, Distilled into Twelve Minutes of FilmAnime : 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.Multimodal et médiasGenerative mediaVision et vidéo+3
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Cognitive Revolution "How AI Changes Everything"· 20 juin 2023PodcastFifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone SawAnime : Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.Multimodal et médiasNeuroscience & AIMultimodal AI+3
4 diapositives8:09EN
Matthew Berman· 12 juin 2023Text-to-Video in 2023: Runway, Colab and a Local Zeroscope SetupMatthew Berman · Forward FutureMatthew Berman compares a hosted Runway Gen-2 demo with a Zeroscope notebook and a Windows GPU installation, showing the short-clip limitations he encountered.Generative mediaVision et vidéoLocal inference+1
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Cognitive Revolution "How AI Changes Everything"· 9 mai 2023PodcastThe $300 million Gates refused, and the $10 billion that went to OpenAIAnime : 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.Entreprise et stratégieAI StrategyAI startups & small teams+3
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Cognitive Revolution "How AI Changes Everything"· 9 mars 2023PodcastFreeze the eyes and the brain. Train only the optic nerve.Anime : 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.Multimodal et médiasMultimodal AIVision et vidéo+3
9:59EN
Lex FridmanPodcastIs Language or Vision Harder? Ilya Sutskever on the Unity of Machine LearningAnime : Lex FridmanIn a short clip from his 2020 conversation with Lex Fridman, Ilya Sutskever explains why vision, language and reinforcement learning share the same few principles, and why asking which problem is harder is the wrong question.Modèles et entraînementFondamentaux du MLDeep Learning+3
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Lex FridmanPodcastCaging the Neural Network: How Aptiv Thinks About Safe Self-DrivingAnime : Lex FridmanAptiv Autonomous Mobility's Karl Iagnemma and Oscar Beijbom explain why end-to-end learning is hard to trust in cars, and show how PointPillars and nuScenes push lidar perception forward.Modèles et entraînementAutonomous DrivingDeep Learning+3
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