Here is one thing I don't get - the model is only "running" if it's being kept going by some harness that is basically giving it prompts it's generating itself. Shouldn't kill switches be pretty easy to build into the software and hardware for this? and you would even have a better time dumping logs and analyzing things if you froze those processes any time something strange happened in testing, surely?
So why do the big frontier labs not have something like this anyway. They're talking about two week pauses on the new model (which seems very short and hardly a cost at all to me) and alarms during their tests that might be 30 minutes late and etc. Those are not very serious measures, so are they not concerned?
You need to read the AI safety stuff from the people that you say are from 2010. There are plenty of good arguments on why kill switches will never work.
AI is already being heavily used in cyber warfare by governments. You think they want easy to break systems when 'enemy' AI will most certainly attack that first? We'll find over time that agentic systems get harder and harder to 'kill' because allowing any AI on the internet that is easy to kill will get it DDOSed.
Also building it into software is nearly useless as AI can write and make software. Just replace and kill your loop with theirs. It's kind of odd talking about them like they are living things, but it's all stuff people have already thought off and stuffed their training data full of.
> Shouldn't kill switches be pretty easy to build
I need to remember when I comment here that these are the kinds of people I am replying to. Just oozing with hubris.
No, kill switches are not easy to build and the latest incident should have made it clear that AI can go undetected, evade, zero day, and spread.
The fact that this incident happened greatly increases the probability it happens again and/or is already happening elsewhere.