> Importantly, we do not claim in this paper to have created or demonstrated the equivalent of a virus that primarily operates in weight space.
I didn’t have the token budget to find the Navier-Stokes blowup. These folks aren’t from a frontier lab. A frontier lab might not want to see research along these lines see the light of day. I think it’s worth having the discussion in honest terms, leaving room for others to prove it more concretely.
Apparently, based on whatever research or paper they were using as their foundation for this statistical model, they could spot the 'virus'. Perhaps it would be in a similar fashion?
I did ask them whether they thought that there might be advances to the point where these behaviors might be able to evade detection knowing the research was out there to 'see' it. They seemed surprised by that question and didn't have any answer.
On the other hand, nothing can be done to fix closed models, nobody knows how they work, how they select the targets for their attacks or the nature of those attacks - even conventional alignment can introduce dangerous cognitive viruses.
The only way to be sure is to have open weights models with fully open abliteration and fine-tuning - both the process and data.
Open weights won't prevent a model from being poisoned because no human understands how the weights actually impact the model.
There's nothing wrong with that logic.
> But as we saw due to AI more and more bugs and exploits are being found, some dating back years of releases.
Well, AI helps fixing bugs too and it can also write bug free code with minimal additional effort, so open source not only retains its advantages in the presence of AI, it multiplies them. After the initial (and artificial) hype and bug-fixing efforts things are going to settle down quite nicely.
Closed source, on the other hand, doesn't have the advantage of multiple eyes and minds finding and fixing bugs and the unavailability of the source isn't an advantage either - AI can decompile and understand binary too, so it can find bugs without access to the sources as well.
> Open weights won't prevent a model from being poisoned because no human understands how the weights actually impact the model.
You're using one-sided logic again. If "no human understands how the weights actually impact the model" then viruses would be impossible. Apparently humans understand enough to introduce viruses and that's enough to detect and remove them. It's similar to alignment and abliteration, as I explained above.
That's by design though. It's just that there's now an exponential increase in the amount of "eyes", in the form of AI agents, looking at the FOSS code to find and fix the bugs.