It takes one day to do the actual voting. It takes a lot more time to figure out who to vote for.
Better question: Where do you put the dx?
What do you mean? Your ear and nose are connected in a way, but I've never heard of ears having an influence on smell.
People often distinguish between taste and flavour. Taste would be what you sense on your tongue. Flavour, would be what you sense in your nose.
Why would we need anyone to buy things? Remember that money is an abstraction for resources. If you can do everything with AI, then you already have all the resources you need. Whether or not someone else needs what you produce is irrelevant when you already have access to everything you could want.
It's not completely subjective. Think about it from an information theory perspective. We want a word that maximizes the amount of information conveyed, and there are many situations where you need a word that distinguishes AGI, LLMs, deep learning, reinforcement learning, pathfinding, decision trees and the like from the outputs of other computer science subfields. "AI" has historically been that word, so redefining it without a replacement means we don't have a word for this thing we want to talk about anymore.
I refuse to replace a single commonly used word in my vocabulary with a full sentence. If anyone wants to see this changed, then offer an alternative.
I get the impression that many drug dealers would be happy to take gift cards as payment.
Ah, makes sense. Thanks
I'm not disagreeing. I'm confused because I don't see how it's relevant to the comment you responded to.
I'm so confused by this comment. Are you trying to say that putting a live animal under extreme pressure and zapping them would constitute animal cruelty?
I'm trying to help OP reach an answer to their question, therefore the definitions I'm working with are the same as that of OP. What I personally believe should be categorized as a "higher being" is irrelevant because if it's different from OP's definition, it won't help them reach their desired answer.
Anything we can provide is just a drop in the ocean of data they already have. Plus, this was how image generation worked before we got diffusion models (see "generative adversarial networks") and they never reached the level of image quality that diffusion models did.