I see that I need a post to at least explain myself. On the other hand, I worry to post too soon (maybe it’s better to discuss something beforehand?). For the moment I decided to post this comment. I know, it’s not formal, but I wanted to show what type of AI thinking I have in mind. And sorry for an annoying semantic nitpick ahead.
Not without a lot more work, because markets, evolution, gradient descent, Bayesian inference, and logical inference/prediction markets all have various isomorphisms and formal identities, which can make their ‘differences’ more a matter of nominalist preference, notation, and emphasis than necessarily any genuine conceptual distinction.
I think we can use 2 metrics to compare those ideas:
Does this idea describe what the AI tries to achieve?
Does this idea describe how the AI thinks internally?
My idea is 80% about (1) and 20% about (2). Gradient descent is 100% about (2). Evolution, Bayesian inference and prediction markets are 100% about (2).
Because of this I feel like there’s only 20% chance those ideas are equivalent/there’s only 20% equivalence between them.
So, I feel like those ideas are different enough: “an AI that works like a market” and “an AI that seeks markets in the world and analyzes their properties”.
Thank you for taking the time to answer!
I see that I need a post to at least explain myself. On the other hand, I worry to post too soon (maybe it’s better to discuss something beforehand?). For the moment I decided to post this comment. I know, it’s not formal, but I wanted to show what type of AI thinking I have in mind. And sorry for an annoying semantic nitpick ahead.
I think we can use 2 metrics to compare those ideas:
Does this idea describe what the AI tries to achieve?
Does this idea describe how the AI thinks internally?
My idea is 80% about (1) and 20% about (2). Gradient descent is 100% about (2). Evolution, Bayesian inference and prediction markets are 100% about (2).
Because of this I feel like there’s only 20% chance those ideas are equivalent/there’s only 20% equivalence between them.
So, I feel like those ideas are different enough: “an AI that works like a market” and “an AI that seeks markets in the world and analyzes their properties”.