Exploring the Limits of End-to-End AI Model Alignment
scaling01 · x · 2026-07-10
Because core optimization directions and creative inputs are still provided by humans, and the underlying training and inference rely entirely on existing OpenAI infrastructure, this approach essentially just simplifies the configuration process without breaking free from the current framework.
Related event: OpenAI's Model-Assisted Post-Training Sparks Debate on AI R&D Autonomy(5 posts)→
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