If this is differentiable (which it seems like it should be), it could be used adversarially to create better deepfakes, BTW.
Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
91–100 of 105 posts
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#92Earlier quoted context omitted.
I think religion might have proved that people will believe whatever they want to first. The book Sapiens really opened my eyes to people.
This is a very low-resolution understanding of what a religion is. It has much more depth to it. (The writer of Sapiens actively tries to ignore this by reducing every single belief humans have (including religions) to random meme propagation.)
That religions are just mind-parasites has become a meme on its own. To me, the book "Darwin's Cathedral" made a very good case that we should look at religions as adaptations that allowed creating larger societies. And so I finally came to peace with religion. Will stay atheist, thank you for asking.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#93Earlier quoted context omitted.
Well it took me 35 years but I escaped religion despite being indoctrinated from a young age. And leaving was a difficult choice but education and evidence were the keys that freed me. Piercing cognitive biases is hard, maybe harder if those most in need feel forced.
> Piercing cognitive biases is hard, maybe harder if those most in need feel forced. I think about this article (post?) called “How to Change a Mind”[1] a lot. It’s about a woman whose husband was in a religious cult and how he finally realized it. [1] https://forge.medium.com/how-to-change-a-mind-1774681b9369
From some of the terminology used, I'm pretty sure the cult in question are the Jehovah's Witnesses.
Thankfully that one seems to be dying off. Their membership is in decline, the internet has made it more and more likely that any potential convert has already heard the horror stories.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#94The problem will increasingly be "whose algorithm do we believe". Internet has revealed that people believe mostly what they want to. We have seen that a large subset of people are believing Bill Gates is behind the pandemic. Why would masses somehow be more rational in picking the most rigorous and objective neural network to recognize deepfakes, than they are in making sense of the world in general? In the end we w…
Aren't digital signatures the best solution we have for this problem? Commercial entities want to have the priviledge of being able to modify the content submitted by content creators, but the culture of trusting i.e. Twitter over client verification needs to change.
Digital signatures are so far away from a solution for this problem they might as well be in a different universe.
One of the main ways people share content is by screenshotting it on their phone, or literally taking a photo of a computer screen with their mobile. Good luck using a digital signature to solve that.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#95The problem will increasingly be "whose algorithm do we believe". Internet has revealed that people believe mostly what they want to. We have seen that a large subset of people are believing Bill Gates is behind the pandemic. Why would masses somehow be more rational in picking the most rigorous and objective neural network to recognize deepfakes, than they are in making sense of the world in general? In the end we w…
For me, one reason not to freak out about this is Photoshop. It's been around for decades. Perfect photographic fakes (literally called "photoshops") are possible. Yet is there a great crisis of fake photographs taking over the news? Not really. The actual "fake news" barely even bother with photoshop (and those for whom it works, don't care about the quality). It's somehow still fairly easy to get context and at som…
> is there a great crisis of fake photographs taking over the news?
Well, yes. Many newsworthy photos and video clips are doctored, and they sway the public discourse in subtle ways. That we haven't yet seen significant public outcry is as much a testament to their subtlety as it is to their effectiveness.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#96as Zizek would say, "And then you use this as the basis for a GAN that optimises for faces that do fit, making better deepfakes and so on and so on"
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#97Earlier quoted context omitted.
I feel like it’s time to bring in Heinlein’s Fair Witness concept: https://www.urbandictionary.com/define.php?term=Fair%20Witne... If you think about it, when we had relatively few journalists and their reputation was on the line with every story they wrote they in a way were fair witnesses. Since we have moved to a hybrid model of professional journalists and a huge caste of YouTubers, podcasters, bloggers, and twit…
We need something, but Fair Witnesses seem both exploitable and unachievable given the way human memories work.
Even if achievable it seem inhumane. And besides it seems far more achievable to just have trustworthy journalists, even though that's already difficult in itself.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#98Earlier quoted context omitted.
“Expert witnesses” then?
“Expert” is a misused term, much like “exponential”. I see the value of the press as being as much of an intelligence agency as the combined CIA, NSA, and FBI, but serving the electorate and investigating all those with power — politicians, police, military, religious, business, and so on — so that the electorate can make informed decisions. I don’t know how to get there from here. Heck, I don’t even know if we’ve ev…
Off topic, but 'exponential decrease' is my favourite misuse, simply because exponential decrease is slower than a linear (steady) decrease.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#99People believe what they want to believe.
Just a basic search and 5 minutes in wikipedia about a topic will make you better than most people who sprout nonsence.
But you got to have a right mindset.
Human brain hates change. You have to force the bitch to take in new information and process it and prepare it for further info on the topic.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#100The problem will increasingly be "whose algorithm do we believe". Internet has revealed that people believe mostly what they want to. We have seen that a large subset of people are believing Bill Gates is behind the pandemic. Why would masses somehow be more rational in picking the most rigorous and objective neural network to recognize deepfakes, than they are in making sense of the world in general? In the end we w…
This is by design.
Reflexive Control Theory: https://www.rand.org/blog/2020/07/how-you-can-fight-russias-...