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Mmastodon TechnologyAI first seen 3 d ago, last 3 d ago, peak #2

Debate grows over true open source in AI

Original: Why we need actual Open Source # AI . Not just open weights...open source, open data, open eval, open alignment. # ML #

Arguments are resurfacing over what qualifies as genuinely open source artificial intelligence. Commenters argue that releasing model weights alone falls short, and that true openness requires open source code, open training data, open evaluation methods and open alignment processes. The discussion, framed through a machine learning security lens, is drawing attention among developers and security researchers weighing transparency against the industry's prevailing practice of open-weights releases.

Why now: Ongoing industry debate over the difference between open-weights AI models and fully open source AI is prompting discussion among security and ML practitioners.

Gregory KutzerSilver Bullet Security Podcastopen source AI

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