Tell me.. What is the one thing we are scared of in AI safety? Systems that show almost no change externally, but are growing fast internally. But stuff like that only happens in science fiction movies, right? I would like to ask, are you sure about that? For some time...
I have been thinking about this for a while. I don't have a clear answer. I am in India. I am building my project alone. I don't have a lab or lab meetings. I don't have anyone to talk to when something breaks at midnight. The AI safety conversation mostly...
I have been trying to build a ended evolution system by myself without a lab or a supervisor. This started with a question that was not about AI safety I just wanted to know what happens if you remove the objective entirely. I mean, no reward function, no fitness score...
I need to write this down somewhere because it's been living rent-free in my head and I think this community might actually help me figure out what I'm looking at. Quick context: I'm trying to build an open-ended evolution system alone, no lab, no supervisor. It started from a question...
> Epistemic Status: Empirical. 12 independent runs, 10,000 generations each, all seeded and logged. The results are what I am confident about but what do they actually mean? Here's what I have recently discovered about failure modes: they are boring and disappointing only if you are not paying enough attention....