Can Hidden Reasoning Be Stolen From GPT, Claude, and Gemini?

A new paper found a way to extract the hidden reasoning of models from OpenAI, Anthropic, and Google without breaking the encryption protecting it. The trick was surprisingly simple. Let’s discuss it – it’s absolutely fascinating! And begs a few questions about our privacy.. Attention Span is here to show you AI isn’t magic. Sometimes the most important part of an AI interaction is the part you never see. 👉 Subscribe for high-signal AI analysis 👉 Instagram https://www.instagram.com/turingpost_tv 👉 TikTok https://www.tiktok.com/@turingpost_tv 👉 More analysis: https://www.turingpost.com/ 👉 Interviews: @realturingpost 🔗 Links mentioned Stealing Reasoning Traces from Proprietary LLM APIs https://arxiv.org/abs/2608.09867 Stolen Thoughts, project page and decoded examples https://stolen-thoughts.com/ Matthew Green, “Let’s talk about encrypted reasoning” https://blog.cryptographyengineering.com/2026/05/29/fooling-around-with-encrypted-reasoning-blobs/ WIRED, “A New Trick Reveals AI Models’ Inner Thoughts” https://www.wired.com/story/a-new-trick-reveals-ai-models-inner-thoughts/ #AttentionSpan #AI #HiddenReasoning #ChainOfThought #AIReasoning #AISecurity