The Future of Vision in ML | Merve Noyan | HF Podcast #1
In this episode, we sit down with Merve to talk about where vision AI is heading: from early computer vision systems to modern multimodal models, world models, robotics, and open source AI. We discuss LLaVA, IDEFICS, Vision Transformers, CNNs, JEPA, V-JEPA, Genie 3, OpenClaw, IMCP, PaliGemma, ColPali, ColQwen, and why Hugging Face has become such a central part of the open ecosystem. ## Connect with Merve Noyan, the open-sourceress 👇 - X (twitter): https://x.com/mervenoyann - LinkedIn: https://www.linkedin.com/in/merve-noyan-28b1a113a/ - Personal Site: https://merveenoyan.github.io/me/ - GitHub: https://github.com/merveenoyan ## Chapters 00:00 Intro: vision, Hugging Face, and the future of AI 00:31 Why vision feels different now 03:58 LLaVA, IDEFICS, and multimodal training 08:56 CNNs, ViTs, and older vision architectures 15:46 How vision models could reach everyday users 16:50 World models, JEPA, V-JEPA, Genie 3, and robotics 25:44 OpenClaw, IMCP, and agent safety 28:01 Small vision models, fine-tuning, and getting started 34:39 Why Hugging Face matters in open source AI 42:49 PaliGemma, ColPali, ColQwen, and vision retrieval 47:26 Before Hugging Face: how models were shared 49:48 Mentors, culture, and closing thoughts If you enjoyed the episode, subscribe for more conversations about open models, multimodal systems, and the future of AI.
