Stanford NLP Weighs In on GPT Reasoning Traces That Learn to Avoid Whitespace
stanfordnlp · x · 2026-10-22
Stanford NLP retweeted a discussion of purported "GPT-6.1-Sol" reasoning traces showing the model learning to avoid whitespace. Chris Potts speculated it stems from pressure to keep reasoning short, but Yoav Goldberg noted dropping whitespace doesn't necessarily save tokens — an alternative hypothesis is the model relying on infrequent token combinations to build its own CoT language. The screenshot's authenticity is unverified.
Related event: Leaked GPT-6.1-Sol reasoning trace with spaces stripped sparks debate(5 posts)→
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