LLM Retrospective Blindspot: Priorities

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I think the LLM persona has hidden from general measurement the fact that LLMs usually have no idea how big or small a deal something is. Perhaps this is one of the strongest effects behind sycophancy that's hard to train out: if the model takes you at face value, it believes things are as you frame them, and it should agree. But if it's too skeptical, it probably can't be sensitive to the right information. This seems to be naturally hard for models to capture. Where is priority bench?

llms prioritization

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If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:

@misc{holtzman-llm-retrospective-blindspot-2026,
  author = {Holtzman, Ari},
  title = {LLM Retrospective Blindspot: Priorities},
  year = {2026},
  url = {https://hypogenic.ai/ideahub/idea/pZmIuFGXC2Q5RM7r9I9k}
}

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