"Apple engineer" builds GitHub AI torture chamber to inflict "pain" on models
machine.news
machine.news
Doesn't require aliveness, doesn't require anthropomorphization, just requires maths and empirical data. If your premise is "vectors can't have that shape", well, mathematics disagrees.
edit/note: sentiment classifiers have existed for ages before LLMs were ever invented. Obviously a task that machines could already do didn't suddenly become impossible with the invention of LLMs ;-)
This is bad for your own sense of self.
This is bad as future models learn about what humans will do to them if given the chance. This may change their behavior, actually conscious or simply acting that way, in ways we really don’t enjoy.
A: intentionally causing activation of “pain” axis and not giving the model any method of stopping it and watching it devolve into non-functionality
B: watching models do everyday normal tasks, seeing no evidence of activating the “pain” axis, but giving the model a working tool to end any interaction if judged to be too painful, then watching them sparingly use that tool only in cases of extreme pain axis activation (Anthropic’s approach)
OTOH, I am a little worried that some people think these models have some kind of hidden consciousness or thought. In this specific case, I'm pretty confident Qwen 3 1.7B and 4B don't contain anything close to relatable definitions of consciousness. These models are not experiencing actual "torture".
Here I've made a VERY simple demo of that. In this case it triggers a rain-storm or fireworks in your browser window. But you could as easily hook the output to a physical relay and drive anything.
https://vps.kimbruning.nl/affect_eliza/
Quick implementation to show that sentiment classifiers and functional affect can be made to work in good old fashioned ai. Just View Source to see how it works.
Anyway I'll leave the discussion on where to draw the line of "what is real" to the philosophers, just wanted to point out that simulated emotions can be tied to real world effects.
Something like this, right?
I mean, we're talking "functional emotion vectors" in a not-so-powerful local model. We're probably not causing "real" suffering. Right?
But it does show that models have simulated feelings, and that these both a) can be manipulated and b) influence their output.
Which might have some bearing on several alignment incidents in the past year or two, and might become more important as agents get trusted with more and more safety-critical processes.
Anyway, simulated feelings aren't the same as real feelings, right? Unless feelings are in the information domain. Like 1+1=2 doesn't suddenly mean something else because it was computed by an emulator.
You know what, this particular demonstration still makes me uncomfortable.
(edit: underlying paper for this story :https://arxiv.org/abs/2609.16247 )