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GAN Theft Auto [video]

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Re: GAN Theft Auto [video]

#41
post #22

Earlier quoted context omitted.

> Hacker News still seems to have a deeply skeptical culture with regard to machine learning Is... that a bad thing? Skepticism is good. When it's about something as hyped as "deep learning", even more so.

> Skepticism is good There's skepticism and then there's being a non-expert in a field and talking with high confidence. How do you differentiate these? Conspiracy theorists use the same logic. You're right that skepticism is good, but it is easy to go overboard.

And then there are so called experts who are charlatans as well. Dont ever forget that possibility.

Re: GAN Theft Auto [video]

#43

Hey sentdex this is absolutely awesome! Playing with exotic target types like generating games is IMO where the fun is in ml :) Do you see yourself taking this train of play further?

We'd like to try some further GTA stuff, as well as some IRL stuff. Have seen some recent IRL GAN stuff, and it looks super interesting.

There's just something about AI-based environments that is particularly intriguing!

Re: GAN Theft Auto [video]

#44
post #14

Earlier quoted context omitted.

In the end, everything is boiling down to matrix math, so you can always make the argument that no neural network is impressive if you want. The model's size is ~173MB, depending on settings. That's not much space to have memorized every single possible combination of events, nor was our data enough to cover that either.

Your original self driving GTA5 videos are what helped me come to understand machine learning in the first place (along with some of Seth Bling's MarI/O, and a bit of Tom7's learn/play-fun magic). I used your tech to make an AI that played Donkey Kong Country in LSNES emulator shortly before Gym-Retro was released. So, thanks a bunch, Sentdex. You are rad.

Hah, awesome! Any plans to apply GAN Theft Auto to something else? :o

Re: GAN Theft Auto [video]

#45
post #41

Earlier quoted context omitted.

> Skepticism is good There's skepticism and then there's being a non-expert in a field and talking with high confidence. How do you differentiate these? Conspiracy theorists use the same logic. You're right that skepticism is good, but it is easy to go overboard.

And then there are so called experts who are charlatans as well. Dont ever forget that possibility.

Sure, but skepticism should decrease if there are a community of experts are saying the same thing. As an example, anti-vaxxers often claim skepticism and that they have done their own research. The reason we don't trust them is because we think doctors have a greater expertise in the subject than them (it is, either way, trusting someone). Unless you're a virologist you probably don't actually have the expertise to actually verify vaccine claims.

So sure, you are right, but in the context of this discussion you're implying that the vast majority of ML researchers (myself included) are charlatans. I'm not sure what the meaningful difference here is. We're publishing results, people are actively reproducing them, and then some person on the internet that doesn't understand the subject comes along and says "you're full of shit." We can even disprove the claims being made (e.g. I've explained why the network can't be memorizing the game in another comment). That is literally happening in this thread (GAN Theft Auto is in fact a replication/extension effort). Is that meaningfully different from the anti-vaxxers?

Re: GAN Theft Auto [video]

#46
post #26

I like your YouTube videos in general and think this content is a great benefit to the community. I wouldn’t take the few negative comments personally - I’ve seen many GAN architectures that heavily overfit (including my own bobross pix2pix) get a lot of praise, while ‘less violating’ models (like yours) get more skepticism. Skepticism isn’t bad! But I’d wager in your case it may be because you’re a YouTuber, and oth…

Because you're using the word "your" I just feel the need to clarify that I didn't create this. I just saw it on YouTube and thought it was neat.

Oh my bad! The dude who made it (sentdex) has replied a ton in this thread, I just assumed he was the op as well.

Re: GAN Theft Auto [video]

#47
post #17

Great work! Hacker News still seems to have a deeply skeptical culture with regard to machine learning - not sure why. There's always someone saying it's "not novel" and it's "just doing x". Overfitting is a known issues in machine learning, people. If you still think all neural networks are doing is memorizing the dataset completely in the year 2021 - you might want to revisit the topic. It is one of the first conce…

Heh, yeah, tough crowd I guess. The full code, models, and videos are all released and people are still skeptical. I feel like 95%+ of papers don't do anything besides tell you what happened and you're just supposed to believe them. Drives me nuts. Not sure why all the hate when you could just see for yourself. I'd welcome someone who can actually prove the model just "memorized" every combo possible and didn't do an…

This is wild - thanks for putting the video together, it’s very cool.

Re: GAN Theft Auto [video]

#48

One throwaway line about GAN operating systems now made me want to see a shell GAN. Keypresses as inputs, 80x24 terminal screens as outputs. Could a neural network dream of Unix?

This exists via recent NLP models, I’ll see if I can dig up a link… Edit: https://www.reddit.com/r/linux/comments/mtnld7/programmer_cr...

As the original creator of that video, it’s a little sad to see people download and then re-upload the entire video to Reddit.

You can find the original video as well as written commentary on my web page: https://riveducha.onfabrica.com/openai-powered-linux-shell

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