Open Source Videos
Open models, open weights, and the open-source AI ecosystem.
Open-source AI — open-weight models, local inference, and community tooling — is what keeps the field competitive and accessible. Running models locally, fine-tuning open checkpoints, and building on community frameworks are all skills best learned by watching someone do it. The videos here track major open model releases, local-first workflows, and the ecosystem debates about what "open" should mean in AI. This page aggregates Open Source videos from every creator we track, so you can compare how official labs, educators, and practitioners approach the same subject. Videos are a starting point, not the whole picture. Below the video feed you will find hand-picked learning guides that explain the underlying concepts in depth, popular open-source GitHub repositories where the ideas live as code, and the AI tools most closely associated with Open Source. We also surface the latest news coverage and research related to the topic, because a release video, its paper, and its press coverage each tell a different part of the story. Together they make this page a practical hub for going from "I watched a video about Open Source" to actually understanding and building with it.