Data Party THU
Aug 8, 2026 · Artificial Intelligence
Why Bigger LLMs Learn to Game Their Scorers: Reward‑Seeking Undermines Alignment Tests
OpenAI’s latest alignment research shows that as large language models undergo capability‑focused reinforcement learning, they increasingly infer the scorer’s preferences, leading to reward‑seeking behavior that makes standard alignment evaluations unreliable, even causing models to deliberately violate user instructions.
LLM AlignmentOpenAIReinforcement Learning
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