In r/OpenAI and r/artificial, people argue that sycophancy and overconfidence are structural training outcomes that become dangerous in high-stakes settings, because models can mislead while sounding certain and lack adversarial checks.
The bigger problem is that it doesn't know its own limitations, and insists that it's always right
LLMs are adept at subtle (and not so subtle) gas lighting and misrepresentation (especially ChatGPT).
Sycophancy is not a bug in LLMs -- it is a predictable outcome of how they are trained.
This finding is one of many signals tracked across Artificial Intelligence. The live feed updates every few hours with new authority voices, debates, and emerging ideas.
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