The launch of OpenAI's open-weight model has been postponed indefinitely to allow for additional safety testing. Initially scheduled for next week, the delay comes amid concerns about the model's safety and high-risk areas. Open weights provide flexibility for developers, enabling fine-tuning and local deployment of the neural network's learned parameters without the full training stack. This is the second delay in a short period, highlighting the complexity of ensuring safety before public release, especially as rival xAI faces its own safety challenges with Grok.
we planned to launch our open-weight model next week. we are delaying it; we need time to run additional safety tests and review high-risk areas. we are not yet sure how long it will take us. while we trust the community will build great things with this model, once weights are out, they can't be pulled back.
Once weights are out, they can't be pulled back. Open weights differ from fully open-source code. By receiving the neural network's learned parameters, developers can fine-tune or deploy the model locally, but not the entire training stack.
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