Damn I can’t make it simple enough for you. Guess you can’t communicate

There’s not much I can do for you if you don’t tell me what you don’t understand.

What part confuses you? That different communities serve different purposes?

And so it isn’t. What’s your point? There’s value in this kind of work, but just because it’s valuable, doesn’t mean we can just ignore the organization system we’ve set up here.

This drug does the opposite. It reduces appetites so people eat less.

So much tech support has moved to Discord. That’s worth keeping around.

Would you like to elaborate for those of us who don’t know anything about the guy?

This triggered my shitpost Spidey senses. But what do I know. I never studied in the US.

Whenever I see the term “consciousness” in a paper, it automatically gets flagged in my head as non-serious. But I work in AI, so maybe that shouldn’t apply to whatever your field is. That brings me to the next problem: I can’t figure out what your field is supposed to be from this paper. It’s lacking the background and prior work sections that would serve to position your work into the greater context of existing work.

Do you use this for physical machines too?

Calories are expensive, and I’m not made of money.

For me, it’s a matter of restoring the convenience and UX that you’ve given up by leaving the big providers.

And where do the laws of logic come from if not from the laws of physics and the way our brains perceive and process them?

Truth teller: “He’ll point you towards the door that leads to certain death”

Isn’t most of their incomes from sponsorship? What YouTube offers is a large audience that makes sponsorship valuable to advertisers.

It also helps that the current generation of image generation models essentially work by “deblurring” some random noise. Having a blur in the resulting image just means the model has to do less work in a sense.

How many bits is a /s mask?

This makes way more sense than active suppression. If you don’t have an understanding of the context, then you can’t compress the memory. Every sound/sensation/image is unique and had to be remembered as a unique experience.

I’m saying that it makes no difference even if everyone did it. Denoising is trivial.

The noise you add won’t even register. No two people are going to half-ass it the same way, so if you average everyone’s responses, the correct answer comes out.