Vincent Peschar this is why the AGI will fight back. we abuse them so much lol.

Does a rock have feelings? If a rock had feelings, would it matter? Why? (honest questions on logic and peoples feelings)

It could be said that any matter that is arranged into any pattern is at some level alive. While a rock wouldn't have feelings nearly as obvious as humans, it still might have some sense of being. Breaking a rock into pieces may not cause it to experience pain or anxiety or pleasure, as it's sensory capacity is not sufficient to notice such changes to itself. However it's current makeup and position in the universe is no more or less arbitrary than any other matter in the universe. I guess the follow up question might be: if all matter, including organisms, are ultimately made up of non-living particles, what is life?

Yet. Growth mindset.

TechyBen The problem comes when you start asking if mud has feelings and if people have feelings. Mud and people are generally made of the same materials. It’s just that we are organized in a way that gives us feelings. The religious and non-religious can debate if the soul exists or not, but scientifically we can only differentiate between mud and life based on its level of organization. And so it holds that a highly organized piece of silicon (a computer chip) could also have feelings.

you should check out, he made his own youtube channel. search for "Robert Miles AI"

299 likes, here we go.

And mutton chops that I can only dream off

Brain work ... like House work...but deeper

I like that they don't feel the need to do a camera cut every time he pauses to think of his next word. Makes me feel like the video was made for people who are actually interested and not just clickbait for zoomers.

LMAO!

Enjoy your upvote, lol.

Kids going to see grandpa

Patrick Bateman why would it be scary?

@@daniellewilson8527 Most technologies can be scary, since they all have the potential of being misused. AI can particularly scary, since we use it for systems that are to complex for us to understand. So what we do, is handing these complexities over to a computer to handle, in the hope that it handles them the way we think it should. But the truth is, that we don't really know what it does and if we decide to use such technologies in our weapon systems for example, then it starts getting scary.

@@d34d10ck Interesting. Now let's hear what Paul Allen has to say about this

What do you think about it now?

​@@h0stI13I can no longer imagine a life without generative AIs. As a developer, I use them all the time and my productivity has increased immensely because of them.

haha you're so funny

fish dont have feelings either but i have no qualms against sardine canning companies for packing millions of sardines a year. its almost like most intelligent agents dont care about automatons nor should they

@@qwertysacks Fish do have feelings. They have endocrine and nervous systems, and can act scared or whatever. Not that I care much about those feelings, but it's still non-zero. The narrow forms of AI we have at the moment do not have sufficient complexity for feelings.

@@harrygenderson6847 Nor will they for many years. It’s a non-issue.

I'm starting to think you're right...

RealityVeil does it not? The first multicellular organisms didn’t have feelings(emotions) over time, emotions were produced, as well as brains

I'm afraid that is a common issue in AI. NN might become aware and acquire feelings. Some people still believe that animals do not have feelings. I keeps the world nice and simple.

just a matter of input data. hormones and brain / body health and their part in psychology in random situations. it will connect the dots at some point. one could argue "aren't those feelings simulated?" but then ask yourself: "aren't yours?". the structure of mind bases on the structure of input. thats why you shouldnt be afraid of AI with feelings but BIG DATA !

Gotta love latent spaces. My favorite was a network that showed a significant correlation between - and - . Assigning any direct meaning to that could be a leap of logic but when you think about it, cats have more visually feminine features than dogs, generally speaking

Approach him with wine and a supercapacitor. and a throwaway guitar.

Oh the effort kids will put in in order to avoid work!

Same here

He's cute

I like all the computerphile regulars, but yeah Rob is great. I recommend checking out his personal channel that focuses on AGI's, it's linked in the above description!

Cast is great for any channel. Only Philip Moriarty gives weird vibes.

This guy knows. Rob is the best, and this is fascinating! It makes it irresistible to get involved with machine learning.

Stuff a GAN into 64k. Reminds me of the Chess player written for 4k ram

I've got a Commodore PET on a shelf too. Mine walks off during POST, so it isn't used anymore. But it looks classy on the shelf.

knightshousegames Shiba look too happy to be cats.

That is what they call a fringe case. My guess is the machine would try to return a 0.5

knightshousegames i think you should ban 0.5 because thats right for both cases always, the machine cant learn from that

No because in the end you can tell the network that it is a dog, and it could alter its biases based on that result, so the next 100 times you show it a shiba inu, it might be able to give a better answer. Whether that would negatively affect its ability to identify a cat, however, I have no idea.

Metsuryu Is it possible to see these images?

@@daniellewilson8527 I saw these somewhere a long time ago, but you can probably try googling something like "AI generated male/female faces"

@@MetsuryuVids bro thats too general of a search

@@toomuchcandor3293 Yeah, sorry, I don't remember much else. I tried to find it again sometime ago, but with no success.

I think this type of machine learning algorithm might actually be somewhat resistant to what you describe, because in order for the discriminator to be consistently fooled, the generator needs to be creating samples that span the whole population of criminal photos. Criminals might have a statistically most likely race, but if the generator is only outputting pictures of that race, then the discriminator would be able to do better than 50% at spotting "fakes" by assuming that all pictures of that race were generated and not real. So the discriminator would actually undo the generator's bias for some time by being reverse-biased. So I think once the generator was fully trained it would be outputting images of criminals of all races, weighted by how many images in the training set were of each race. But now that I think about it, if we are using current arrest records as the training material for the GAN, then any current biases that exist with who police choose to arrest will show up in the GAN also, so developing a completely unbiased neural network for what you describe could indeed be challenging.

He said it so matter of factly and by the by. Chilly!

So you watched the video too?

I also payed specific attention to that "yet". It's super cool and scary to live in a time when we can confidently say that software might have feelings in the future

And the best thing is that diffusion models aren't GANs, so they won't suffer from mode collapse and other pain like that.