Earlier quoted context omitted.
Some probability distributions are objective. The probability that my random number generator gives me a certain number is given by a certain formula. Describing it with another distribution would be wrong. Another example, if you have an electron in a superposition of half spin-up and half spin-down, then the probability to measure up is objectively 50%. Another example, GPT-2 is a probability distribution on sequen…
The probability distribution is subjective for both parts -- because it, once again, depends on the observer observing the events in order to build a probability distribution. E.g. your random number generator generates 1, 5, 7, 8, 3 when you run it. It generates 4, 8, 8, 2, 5 when I run it. I.e. we have received different information about the random number generator to build our subjective probability distributions…
What Is Entropy?
161–170 of 221 posts
Re: What Is Entropy?
#162Earlier quoted context omitted.
I think there are none. The world has gotten too complicated for that. It was early days in quantum physics, information theory, and computer science. I don’t think it is early days in anything that consequential anymore.
It’s the early days in a lot of fields, but they tend to be fiendishly difficult like molecular biology or neuroscience.
I'm obviously using the archetype of Leibniz here as an example but pick your favorite polymath.
Re: What Is Entropy?
#163Earlier quoted context omitted.
Von Neumann was the king of kings
Its odd...as someone interested but not fully into the sciences I see his name pop up everywhere.
https://en.m.wikipedia.org/wiki/Fair_coin#Fair_results_from_...
Re: What Is Entropy?
#164I sometimes ponder where new entropy/randomness is coming from, like if we take the earliest state of universe as an infinitely dense point particle which expanded. So there must be some randomness or say variety which led it to expand in a non uniform way which led to the dominance of matter over anti-matter, or creation of galaxies, clusters etc. If we take an isolated system in which certain static particles are p…
The classic example is this:
Imagine you have a perfectly symmetrical sombrero[1], and there's a ball balanced on top of the middle of the hat. There's no preferred direction it should fall in, but it's _unstable_. Any perturbation will make it roll down hill and come to rest in a stable configuration on the brim of the hat. The symmetry of the original configuration is now broken, but it's stable.
1: https://m.media-amazon.com/images/I/61M0LFKjI9L.__AC_SX300_S...
Re: What Is Entropy?
#165Earlier quoted context omitted.
Some probability distributions are objective. The probability that my random number generator gives me a certain number is given by a certain formula. Describing it with another distribution would be wrong. Another example, if you have an electron in a superposition of half spin-up and half spin-down, then the probability to measure up is objectively 50%. Another example, GPT-2 is a probability distribution on sequen…
The probability distribution is subjective for both parts -- because it, once again, depends on the observer observing the events in order to build a probability distribution. E.g. your random number generator generates 1, 5, 7, 8, 3 when you run it. It generates 4, 8, 8, 2, 5 when I run it. I.e. we have received different information about the random number generator to build our subjective probability distributions…
For example my cat weighs 13 pounds. That seems objective, in the sense that if two people disagree, only one can be right. But the claim is based on my observations. I think your logic leads us to deny that anything is objective.
Re: What Is Entropy?
#166Earlier quoted context omitted.
Some probability distributions are objective. The probability that my random number generator gives me a certain number is given by a certain formula. Describing it with another distribution would be wrong. Another example, if you have an electron in a superposition of half spin-up and half spin-down, then the probability to measure up is objectively 50%. Another example, GPT-2 is a probability distribution on sequen…
Of those, the quantum superposition is the only one that has a chance at being considered objective, and it's still only "objective" in the sense that (as far as we know) your description provided as much information as anyone can possibly have about it, so nobody can have a more-informed opinion and all subjects agree. The others are both partial-information problems which are very sensitive to knowing certain hidde…
Re: What Is Entropy?
#167Earlier quoted context omitted.
I think there are none. The world has gotten too complicated for that. It was early days in quantum physics, information theory, and computer science. I don’t think it is early days in anything that consequential anymore.
It’s the early days in a lot of fields, but they tend to be fiendishly difficult like molecular biology or neuroscience.
Re: What Is Entropy?
#168Earlier quoted context omitted.
I was hoping the Wikipedia might explain why this might have been.
https://emilkirkegaard.dk/en/2022/11/a-theory-of-ashkenazi-g...
Re: What Is Entropy?
#169Earlier quoted context omitted.
What's often lost in the discussions about whether entropy is subjective or objective is that, if you dig a little deeper, information theory gives you powerful tools for relating the objective and the subjective. Consider cross entropy of two distributions H[p, q] = -Σ p_i log q_i. For example maybe p is the real frequency distribution over outcomes from rolling some dice, and q is your belief distribution. You can…
Thanks, that's an interesting perspective. It also highlights one of the weak points in the concept, I think, which is that this is only a tool for updating beliefs to the extent that the underlying probability space ("ontology" in this analogy) can actually "model" the phenomenon correctly! It doesn't seem to shed much light on when or how you could update the underlying probability space itself (or when to change y…
Re: What Is Entropy?
#170Earlier quoted context omitted.
I think there are none. The world has gotten too complicated for that. It was early days in quantum physics, information theory, and computer science. I don’t think it is early days in anything that consequential anymore.
It’s the early days in a lot of fields, but they tend to be fiendishly difficult like molecular biology or neuroscience.