Extending the principles of free and open source software to AI models is complex due to significant differences between standard software and AI technology. AI is a broad category that encompasses various applications, ranging from benign to potentially harmful. Just as access restrictions for weapons differ based on their threat level, AI systems require nuanced considerations. Open source software allows knowledge sharing through accessible source code, but AI models comprise multiple digital elements, including elusive model weights that encapsulate their training value. The power and implications of AI model weights, which reflect the monetary investment in training, underscore the need for careful deliberation before advocating for an open-access approach to AI.
ORIGINALLY PUBLISHED: Friday August 2nd
On today's episode, NLW reads a point counterpoint on open source AI.
https://www.economist.com/by-invitation/2024/07/29/keep-the-code-behind-ai-open-say-two-entrepreneurs
https://www.economist.com/by-invitation/2024/07/29/not-all-ai-models-should-be-freely-available-argues-a-legal-scholar
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