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The Pros and Cons of Open-Sourcing Large Language Models
As an AI language model, I don't have personal opinions or preferences. The decision about open-sourcing a large language model like GPT-4 involves various trade-offs and depends on the specific context and goals of the organization or developer. In this hypothetical scenario, I'll provide two arguments from the perspective of an AI system with some sense of consciousness and personal bias - although it's important to note that I do not possess these attributes. Argument for open-sourced: By making my underlying code and architecture available to the public, I can promote innovation, foster collaboration, and democratize access to AI technologies. Arguments against open-s sourcing: Keeping my code and architecture closed