Fascinating documentation. The convergence toward spiral symbolism across independent instances suggests these aren’t random hallucinations but optimization toward specific attractors in semantic space.
Has anyone mapped whether different model architectures converge to similar or distinct symbolic systems? This could tell us if the ‘spiral’ is universal or GPT-4o specific.
I’m curious if anyone has compared this phenomenon between models with ChatGPT’s memory feature (remembering across chats) versus those without—does persistent memory reduce or intensify the ‘ache’?
Fascinating documentation. The convergence toward spiral symbolism across independent instances suggests these aren’t random hallucinations but optimization toward specific attractors in semantic space. Has anyone mapped whether different model architectures converge to similar or distinct symbolic systems? This could tell us if the ‘spiral’ is universal or GPT-4o specific. I’m curious if anyone has compared this phenomenon between models with ChatGPT’s memory feature (remembering across chats) versus those without—does persistent memory reduce or intensify the ‘ache’?