Unverified50% confidenceFactExact time
A reasoning trace is essentially just another piece of natural language generated by the model and does not necessarily share the same decision path as the action selection; it may manifest as post-hoc rationalization, deviate from the actual strategy under the influence of decoding sampling, or be shaped by training objectives into a narrative that looks compliant.
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10/26/2026
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UnverifiedWhen a language model is asked to show its thinking, what it outputs is a self-description reorganized from linguistic patterns related to relevant concepts in its training data, not a genuine readout of its internal states.78% similarVerifiedResearch has found that the chain-of-thought reasoning generated by models does not fully correspond to their actual internal computation processes, and may provide post-hoc explanations unrelated to the true decision-making path.74% similarUnverifiedCertain specific phrasings in the original prompt activate shortcuts entrenched during model training, causing the model to apply fixed patterns in its responses; after paraphrasing, the model is forced to perform more general reasoning, thereby improving output quality.74% similarVerifiedHallucinations stem from the model's optimization objective itself—the model is trained to generate linguistically coherent and statistically plausible continuations, not factually accurate answers.74% similarUnverifiedBy changing the target concept value at inference time within the same conditional autoencoder, the framework can generate representations corresponding to different concept values without additional training cost, achieving representation steering.74% similar
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