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What’s it really like working in open-source AI? In this video, we get candid about the stuff that doesn’t always make it into blog posts or launch threads — the surprises, the mistakes, the hot takes, and the tooling gaps that still haven’t been fixed. We cover: The most surprising thing about working in open-source AI What developers usually get wrong when they first use open-source models An open-source AI project I’m low-key obsessed with right now AI dev tooling problems that should’ve been solved by now (but somehow aren’t) When I personally choose open source over paid AI APIs The biggest mistake teams make when they try to open-source AI projects An AI opinion I have that consistently gets me some side-eye If you’re building with AI, thinking about open source, or just trying to separate hype from reality, this one’s for you. Drop your own hot takes or questions in the comments — especially if you disagree 👀 Like, subscribe, and share if this was useful.