"Neural networks don't have feelings, yet...."

@RafidW9

6 жыл бұрын

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

@TechyBen

6 жыл бұрын

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

@AlabasterJazz

6 жыл бұрын

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?

@autolykos9822

6 жыл бұрын

Yet. Growth mindset.

@tylerpeterson4726

6 жыл бұрын

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.

This gentleman explains high level concepts in ways that the layman can understand, AND has an interesting voice to listen to. A++ work

@AlexiLaiho227

5 жыл бұрын

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

@savagenovelist2983

4 жыл бұрын

299 likes, here we go.

@giveusascream

3 жыл бұрын

And mutton chops that I can only dream off

@blackcorp0001

3 жыл бұрын

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

@ev6558

2 жыл бұрын

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.

His Clarity and simplicity in unpacking a complex topic is just out of this world.

The Dell screens have come to worship the Commodore PET.

@sebastianelytron8450

6 жыл бұрын

LMAO!

@andybaldman

5 жыл бұрын

Enjoy your upvote, lol.

@alexrogers9086

4 жыл бұрын

Kids going to see grandpa

these are some of the coolest networks ive seen so far

To call this impressive would be an understatement. That's amazing, fantastic, unbelievable, highly interesting and scary all at once.

@daniellewilson8527

3 жыл бұрын

Patrick Bateman why would it be scary?

@d34d10ck

3 жыл бұрын

@@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.

@insanezombieman753

3 жыл бұрын

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

@h0stI13

3 ай бұрын

What do you think about it now?

@d34d10ck

3 ай бұрын

​@@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.

I love how quickly he moved past neural networks having feelings. "But neural networks don't have feelings (yet) so that's really not an issue. You can just continually hammer on the weak points, find whatever they're having trouble with, and focus on that" You just know that our robot masters are just going to replay this over and over again in the trial against humanity.

@bionicgirl6826

Жыл бұрын

haha you're so funny

@qwertysacks

Жыл бұрын

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

@harrygenderson6847

Жыл бұрын

@@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.

@pigeon3784

Жыл бұрын

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

@KitsuneShapeShifter

Жыл бұрын

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

Only discovered this channel recently and I've been watching nothing but Computerphile videos for a whole week. Love the content you do with Rob Miles - his field of study combined with his explanations make these my favorite videos to watch. Thank you!

Man, one of my favorite videos on this channel. How did I miss it? Not only does it make you think about the endless potential of machine learning, it also sheds some light into how natural brains might work. Maybe even a basic aspecto of nature of creativity. Getting my mind blown again!

Never really understood GANs before. Thank you so much for making this so intuitive. Eternally grateful.

I love the "finding the weakness" analogy. Really helped me to understand.

Lost it at "Neural Networks don't have feeling yet." It was just the casual way he threw it out there and took it as the most normal thing in the world. Like "Yet" makes total sense.

@daniellewilson8527

3 жыл бұрын

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

@PaulBillingtonFW

3 жыл бұрын

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.

@staazvaind3869

3 жыл бұрын

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 !

"..which is kind of an impressive result." - understatement of the century

@jork8206

3 жыл бұрын

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

This is literally one of the most fascinating videos I've ever seen on KZread.

holy moly, this dude has a gift for explaining. awesome work

Literally the best explanation possible for such a dense topic, congrats my man, you are incredible!

I wish i could talk to this guy once... He seems so cool and intelligent at the same time

@awambawamb4783

2 жыл бұрын

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

I think it's so cool that there is a Linksys WRT-54G and a Commodore PET in the background and they're discussing topics so modern.

That last bit was super interesting and mind blowing at the same time! Excellent video!

The only instance that I can remember when a science video presented on my level of understanding genuinely blew my mind at the end. The research on artificial neural networks will surely change computing as we know it.

"Right now, they're just datapoints" I like this guy

Im pretty sure this is the best format of learning something on youtube

Love the Commodore PET on the shelf! I played with one of the original PETs when they first came out (the one with the horrid rectilinear keyboard!). We eventually got four of the later models at my school, and before long we were happily playing Space Invaders when the teachers weren't looking... and then doing hex dumps of Space Invaders, working out how it worked, and adding a mod to give it a panic button in case the teacher came into the room so you could hit the button and look as if you were working. To be honest, I'm not sure they would have cared, because we probably learned more by doing the hex dump than we would have with our usual work!

@raapyna8544

2 ай бұрын

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

High-level concepts explained so beautifully. Fantastic!

I could watch this all day.. like I did yesterday with numberphile :D

excellent explanation!!! one of the best videos ever on computerphile

The best explanation of GANs I have ever come across.

I honestly more often than not click the video based on whether Rob is hosting.

@dylanica3387

6 жыл бұрын

Same here

@VentraleStar

6 жыл бұрын

He's cute

@HailSagan1

6 жыл бұрын

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!

@cubertmiso

6 жыл бұрын

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

@JamesMBC

6 жыл бұрын

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

Wow, how can you make something so complex be so easy to understand? Thank you man

Love the Commodore PET on the shelf. Class.

@greywolf271

6 жыл бұрын

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

@meanmikebojak1087

4 жыл бұрын

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.

Studying computer science now. These videos give me inspiration to try to connect concepts outside of the classroom

Well explained. Best video about gans i have seen so far.

wild to view this video again in 2023

"...but neural networks don't have feelings yet." Robert Miles throws this out there nonchalantly. I think he knows something we don't. What is it?

This guy presents fantastically. Such an interesting topic... I remember seeing an online CS Harvard lecture around a decade ago that used the same concept (having the system compete with another instance of itself) to train a computer chess player...

Love this guy. Harnessing you concepts here!

This is so interesting! This is the way thispersondoesnotexist "photos" are made by the machine. Super cool!

That was extremely interesting, thank you for making this episode.

20 minute video about AI by Rob Miles? YES PLZ

With the human analogy, an interesting idea is that; You don't just focus on the weak area of learning but you also adapt your teaching technique to enable learning. You change your approach. It may be the difficulty in learning is not a fault of the student but a 'bug' in the teaching method [1 & 7 look similar, our learning strategy is based on a simplistic shape recognition concept, we adapt our recognition concept (we focus on a particular aspect of the image for example) and thus the learner has a 'light bulb' moment as they 'get the point']

the best video on gan I have ever seen, probably this can help me to return to ML

I love seeing this in 2022, and comparing this to DALL-E, GPT-3, etc. Wow. Five years later, and it's generating "Pink cat on a skateboard in Times Square" at artist quality. (@16:25 - Yup. You do. And it does.)

The fact that he add "yet" is both exciting and chilling.

That last part about the latent space was really valueable insight! Hard to come by

Love the video, everything is well explained and easy to understand.

"So cats equal zero and dogs equal one. You train it to know the difference" Ultimate final test: show it a Shiba Inu.

@GhostGuy764

6 жыл бұрын

knightshousegames Shiba look too happy to be cats.

@knightshousegames

6 жыл бұрын

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

@homer9736

6 жыл бұрын

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

@hellfiresiayan

5 жыл бұрын

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.

Another cool thing he didn't mention about that experiment with the faces: They also tried to generate a picture with only features that were found on men, and one with only pictures that were found on women, and the network ended up generating "grotesque" pictures, that were basically caricatures of a "man" or a "woman".

@daniellewilson8527

3 жыл бұрын

Metsuryu Is it possible to see these images?

@MetsuryuVids

3 жыл бұрын

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

@toomuchcandor3293

3 жыл бұрын

@@MetsuryuVids bro thats too general of a search

@MetsuryuVids

3 жыл бұрын

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

The common room elephant: consciousness is _relative,_ and shared by electronic machinery, and all of Earth's animals, including elephants, and not excluding Man.

Fantastic explanation, love this guy

THIS is the best channel ever!

Great explanation Rob, thank you!

"Kind of impressive" is a massive understatement. It's one of the most awesome and scary things I know.

This is amazing! Keep up the great work!

WD, love Rob's explanations!

Very interesting topic and an excellent explanation by Rob! I hardly ever write youtube comments, but this video is great; it deserves all the love it is getting.

I wish I saw this earlier. You guys are amazing.

Bro understood the cyclical nature of GANs so well that even his explanation turned cyclical

Hard to imagine watching television again, when such interesting programs are broadcast here instead.

Deeply sophisticated trial and error to produce meaningful visual results. Awesome

The videos on Rob's channel are so much better edited

Great explanation. Thank you!

Wow excellent explanation of GAN - thanks a lot

It's completely flabbergasting to me how far science has come in the last decade alone!

Absolutely fantastic mind/teacher. I am a complete and utter noob to any of these ideas and even I could follow along. Thank you so much

This man is the only reason I stay subscribed, he is fantastic

an amazing explanation of GANs

Such a great explanation!

what an amazing video, i wish i had a teacher like him!

yes, more of this guy!

Latent space description was great!

Amazing explanation, thanks!

Man, The Detective and Fragger Example Is the Best Example In The World. He is An Amazing Teacher. I want to Learn A LOT From Him

Very nice explanation man !

Would love to see some example pictures of the generated and real pictures.

6 years ago is crazy

The last part where Rob talks about how meaningful features are mapped to the latent space are a demonstration of how machine learning can strongly pick up on and perpetuate biases. e.g. If you fed a model a large dataset of people and included whether people were criminals or not as part of your dataset, and you fed it a large amount of criminal photos wherein the subject was dark-skinned, the model may learn that the "Criminal" vector associates with the colour of a person's skin i.e. you are more likely to be guilty of ANY CRIME if you are black. If we put these kinds of models in charge of informing decisions (say, generating facial sketches for wanted criminals) we might encode harmful biases into systems we rely on in our day-to-day lives. Thus, these kinds of machine learning need to handled very carefully in real-world situations!

@andrewphillip8432

2 жыл бұрын

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.

Wow this video is amazing. Can he do some live coding/example? Would be interesting to see the pictures.

Awesome ! Excellent explaining !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

This is amazing!

This guy is on the ball: a rare trait indeed.

Nicely explained in layman terms...liked it

talking about developing skynet and advanced artificial intelligence, while in the background the keep a Commodore PET as their Backup-System ^-^ PRICELESS!

I love that he said Yet...."Neural networks don't have feelings yet" so nonchalant

Yay Rob Miles!

Very interesting. I think perhaps the explanation focused on the interacted between the generator and discriminator such that we lost sight of the system still needing actual pictures of cats.

I'm pretty excited about GANs, but what about dealing with when either the generator or discriminator gets a big edge over the other during training and basically kills further progress of the first network? Robert spoke on training on where the discriminator is weak, but it would be nice to have some more details.

Such a nice explanation :)

"Neural networks don't have feelings.. yet." lol

@maldoran9150

6 жыл бұрын

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

@ArgentavisMagnificens

6 жыл бұрын

So you watched the video too?

@surrealdynamics4077

4 жыл бұрын

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

Nice intuitive explanation

This guys explains very confusing topics in SUCH an understandable way

This is how evolution works. This Generator/Discriminator mechanism is exactly how, for example, stick insects evolved to look like sticks and leaf insects like leaves. This is the dream of evolutionary computing I had 25 years ago, but didn't know how to implement. See Richard Dawkins "The Blind Watchmaker", where his attempts to "evolve" computerised insects (back in the '90s!) will also help you understand what Robert called latent space.

2022 was the year of latent diffusion!! Disco diffusion, mid journey, and now Stable diffusion is about to make their weights public!! This stuff is so fascinating! :) Great talk about the way!!!

@user-xh9pu2wj6b

Жыл бұрын

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

Thank you for such interesting video, came here after checking "This Person Does Not Exist" web page.

See that Commodore PET on the shelf, I used to use those at college in the late 70's.

This guy is the best!

Nice explanation 👌

Clear and impressive !

super clever way to explain thanks

6:46 I loved that bit...

I'm working on GAN for data augmentation and will be happy to connect with interested ones