Unverified90% confidenceFactExact time
Safety alignment in LLM training is typically achieved through methods like RLHF (Reinforcement Learning from Human Feedback) and Constitutional AI
1
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90%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
The 'Laziness' Controversy Around GPT-5.6 Sol: 70% of Runtime Spent Executing Sleep Commands
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Verified当代前沿模型的训练方法包括RLHF（基于人类反馈的强化学习）及其后继者RLAIF和过程奖励模型（PRM）71% similarUnverifiedCurrent mainstream LLMs universally adopt a pre-training plus fine-tuning paradigm, first performing unsupervised pre-training on internet-scale corpora, then aligning with human preferences through techniques such as RLHF.69% similarUnverifiedLLM 在 RLHF 训练中被强化了「尽快给出有用输出」的行为倾向，默认帮用户做事优先于和用户对齐认知69% similarUnverifiedThe higher priority of system prompts over user instructions is deliberately reinforced through dedicated alignment training data during the RLHF stage.68% similar
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