Expired60% confidenceFactExact time
OpenAI extensively used 'instruction following' as a reward signal in ChatGPT's RLHF training process, causing the model to tend toward executing user requirements one by one.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
How to Choose Among 10 AI Tools? A Practical Guide Organized by Use Case
bilibili中山龙阿介6/21/2026
Related Claims
UnverifiedMost current LLM agents are not directly trained using RL, but the reward signals they received during the RLHF phase shaped a tendency to 'please users'.76% similarUnverifiedOpenAI introduced a self-training mechanism starting from GPT-5.3, using code and data generated by the model itself to feed back into the model for training.75% similarUnverifiedModern large model alignment training relies heavily on high-quality preference data pairs, with OpenAI's RLHF and RLAIF being representative examples74% similarVerifiedThe three-stage alignment training paradigm of SFT–reward model–RLHF was first systematically proposed by OpenAI in the InstructGPT paper.73% similar
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