| I recently explained my personal beliefs around how you square free-will and determinism (and subsequently consciousness) to GPT-4 and it told me this was the more formal name for it. I posited that if you can observe and reconstruct the entire state of a complex system then you can predict future states- score one for determinism and no free will. But, we know there exists places that we cannot directly observe or perceive, aka quantum uncertainty, represented by σxσp ≥ ℏ/2 [1]. So based completely in theory, I figure the only way we square FW & determinism, is that free will exists somewhere/in a form we cannot directly observe, and it manifests as tiny influences that add up, in the complex system that is a brain. This is the way more speculative part and it's more fun than anything to think about- it doesn't change the way I live my life buuuut- Folded brains dramatically increase the influence a given region in space-time can have, simply due to the increased number of neurons. So our brains double as an antenna for some unseen influence that manifests through quantum uncertainty. So when I explained this to ChatGPT it told me that OORT was very similar to this, but even the mechanism they use for it seems to be a stretch for me. edit: But I do think that in order for neural networks to become anything other than outwardly really really good approximations of human minds, there needs to be a way to introduce a small amount of genuine randomness into their calculations, without utterly breaking them. I could see early attempts at doing this causing a form of LLM schizophrenia because the neural network wasn't resilient enough to the induced error. [1] the standard deviation of position σx and the standard deviation of momentum σp is greater than or equal to half the reduced planck's constant |
This can be an even more severe boundary for prediction than the actual measurement accuracy.
In the discussion about determinism vs free will, this leaves us with the situation that we can predict what somebody will do even if we assume perfect measurements, but will only be able to produce this prediction after the fact except for very short term predictions.