Open weights only become more valuable when access is restricted, the post argues
TheTuringPost · x · 2026-07-23
The post argues that restricting open source is a dead end for AI development because blocked access simply pushes people toward downloading weights, running models locally, and using open alternatives.
It cites examples such as Hugging Face using an open-weight GLM model for breach investigation work, and notes that U.S. restrictions on Chinese models like Kimi K3 only make released weights more valuable. The broader claim is that intelligence should not require permission, and open source is the foundation of technological progress.
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