While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected.
Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions.
Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent.
But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models?
We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem.
Read the full report: https://t.co/TZSugXi2ZE
never understood why people come up with weird ways to make walls of text from ai readable, drawing diagrams, html artifacts, and now this. lets be real, if you didn't bother to read the 1st time, all you are gonna do is glance at it the 2nd time, assure yourself that you understand, and move on.
dense information is dense for a reason. either give in to the slop completely, or stop larping
i started having my agents print off technical (nasa like) review sheets for when they have stuff ready for me
i also got some newsprint and it feels so authentic and good to use
> marked as "free to be written to" by the OS
this is what delete does. marks that block of memory free to be used by anything else. it doesnt "reset" data in that block, because that would essentially mean writing data equivalent to that file size. imagine deleting a 50gb file and you have to wait like 10mins
The poll so far between Twitter, Bluesky and Mastodon. I think it looks less absurd than last time, but still pretty clear that the base is divided. https://t.co/9PtrCLGrbB
I honestly dont get the hype around @bendlang
If I want to formally verify that my code works as I intend it to, I already have tests. Bend laws just seem to be a natural language way of writing tests.
Honestly feel like I am missing something.