I understand it’s cool to have an artistic website, but it’s very noisy and non-accessible.

But very interesting result.

A natural next step is to use the reasoning traces to jailbreak the stronger models (https://arxiv.org/pdf/2603.12277)

Is this basically a paper on how to distill, in exactly the fashion openai/anthropic don't want/say is copyright theft?

These logs containing opaque blobs could accidentally contain secrets, the researchers decoded many of reasoning blocks from public repositories and reported finding PII and credentials.

I was experimenting a bit how I could block these using an ingress path. GitHub /softcane/hamza

I expect future LLM will refuse to share the reason. "Hey, how did you come up with this idea?" "you have to pay enterprise API to learn this"

> The providers did not acknowledge “any security implications arising from side channels or replay attacks.” All model providers acknowledged the receipt of our report and subsequently we were unable to launch the same attacks.

I went straight to the ‘Responsible Disclosure’ section. Not surprising, but still disappointing.

Wow, almost certainly the approach that alternative labs use to distill Claude. I always wondered how far they could get with just the answer missing the reasoning. They probably actually also had the reasoning.

Fascinating approach; however, a nightmare to scroll on mobile.

Why they use different models to decode the reasoning content? Can the the model decode it?

You wouldn't steal ... the token output you paid for.