Fooling around with encrypted reasoning blobs
The article discusses a hobby project involving the exploration of encrypted reasoning blobs in LLM APIs. The author shares insights gained from configuring an OpenClaw agent and interacting with Claude's API. Despite not achieving significant breakthroughs, the experience highlighted the complexities of reasoning data in AI models.
- ▪The author spent a weekend exploring encrypted reasoning blobs in LLM APIs.
- ▪They configured an OpenClaw agent to interact with Claude, leading to intriguing error messages.
- ▪The article explains how reasoning data is sent as encrypted JSON blobs to client applications.
Opening excerpt (first ~120 words) tap to expand
This is a quick post I wanted to write about a “hobby project” I spent a weekend on. It has little to do with real cryptography, and mostly doesn’t expose a particularly exciting vulnerability. But it did teach me a lot about frontier LLM APIs and coding agents. It also got me certified as an OpenAI “cyber researcher” which is something that doesn’t happen every day. In any case, please keep your expectations low. Who knows, perhaps someone else will find something exciting to do with this. Where were you when you first discovered encrypted reasoning? Last week I decided it’d be fun to set up an OpenClaw agent. I still don’t know why I did this. I have no use for another AI in my life, and I realized this fact almost immediately after setting it up.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at A Few Thoughts on Cryptographic Engineering.
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