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This talk explores the growing divide between open and closed AI, from the promise of openness, transparency and wider access, to the case for proprietary models, greater control and responsible deployment.
What does “open” really mean when it comes to AI? Does openness drive innovation and competition, or introduce new risks? And as the technology evolves, will the future of AI be truly open or closed, or something in between?

What happens if open source wins?

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