291–300 of 511 posts
Apologies for an open-ended question but: does anyone know if there is a term for something like Turing-completeness within AI, where a certain level of intelligence can simulate any other type of intelligence like our brains do? For example, using DeMorgan's theorem, we can build any logic circuit out of all NAND or NOR gates: https://www.electronics-tutorials.ws/boolean/demorgan.html https://en.wikipedia.org/wiki/N…
The MIT Limits to Growth study predicts the collapse of global civilization around 2040
https://www.vice.com/amp/en/article/z3xw3x/new-research-vind...
Earlier quoted context omitted.
Society is going to utter dogshit and tearing itself apart merely through social media. The US almost had a coup because of organized hatred and lies spread through social media. The far right's rise is heavily linked to lies spread through social media, throughout the world. This AI has the potential to absolutely automate the very long Photoshop work, leading to an even worse stat eof things. So, yes, "Responsibili…
> The US almost had a coup because of organized hatred and lies spread through social media. But notice how all of these deep faking technologies weren't actually necessary for that. People believe what they want to believe. Regardless of quality of provided evidence. Scaremongering idea of deep fakes and what they can be doing was militarized in this information war way more than the actual technology. I think this…
> People believe what they want to believe. Regardless of quality of provided evidence.
That is a terrible oversimplification of the mechanics of propaganda. The entire reason for the movements that are popping up is actors flooding people with so much info that they question absolutely everything, including the truth. This is state sponsored destabilisation, on a massive scale. This is the result of just shitty news sites and text posts on twitter. People already don't double check any of that. There will not be an "understanding of assessing veracity". There is already none for things that are easy to check. You could post that the US elite actively rapes children in a pizza place and people will actually fucking believe you.
So, no. Having this technology for _literally any purpose_ would be terribly destructive for society. You can find violence and Joe Biden hentai without needing to generate it automatically through an AI
Is there an 'explain it like I'm 15' for how this works? It seems like black magic. I've been a computer hobbyist since the late 1980's and this is the first time I cannot explain how a computer does what it does. Absolutely the most amazing thing I've ever seen, and I have zero clue how it works.
Here is my extremely rough ELI-15. It uses some building blocks like "train a neural network", which probably warrant explanations of their own. The system consists of a few components. First, CLIP. CLIP is essentially a pair of neural networks, one is a 'text encoder', and the other is an 'image encoder'. CLIP is trained on a giant corpus of images and corresponding captions. The image encoder takes as input an imag…
Earlier quoted context omitted.
Here is my extremely rough ELI-15. It uses some building blocks like "train a neural network", which probably warrant explanations of their own. The system consists of a few components. First, CLIP. CLIP is essentially a pair of neural networks, one is a 'text encoder', and the other is an 'image encoder'. CLIP is trained on a giant corpus of images and corresponding captions. The image encoder takes as input an imag…
Any pointers on getting up to speed on diffusion models? I haven't encountered them in my corner of the ML world, and googling around for a review paper didn't turn anything up.
See the linked papers if you don't like videos.
Earlier quoted context omitted.
Here is my extremely rough ELI-15. It uses some building blocks like "train a neural network", which probably warrant explanations of their own. The system consists of a few components. First, CLIP. CLIP is essentially a pair of neural networks, one is a 'text encoder', and the other is an 'image encoder'. CLIP is trained on a giant corpus of images and corresponding captions. The image encoder takes as input an imag…
Any pointers on getting up to speed on diffusion models? I haven't encountered them in my corner of the ML world, and googling around for a review paper didn't turn anything up.
https://lilianweng.github.io/posts/2021-07-11-diffusion-mode...
Personally, I find the core diffusion papers pretty dense and difficult to follow, so the blog post is where I'd begin.
https://arxiv.org/pdf/1503.03585.pdf
This paper is a decent starting point on the literature side, but it's a doozy.
Both the paper and blog post are pretty math heavy. I have not yet found a really clear intuitive explanation that doesn't get down in the weeds of the math, and it took me a long time to understand what the hell the math is trying to say (and there are some parts I still don't fully understand!)
So what does the future of human creativity look like when an AI can generate possibly infinite variations of an idea.
This is really already the case, actually. Most artworks have “value” because they have a compelling narrative, not because they look pretty. So I think we can expect future artists to really emphasize their background, life story, process of making the art, etc. All things that cannot be done by a machine.
Dall-E 2 seems to be incapable to catch the essence of the art. I'm not really surprised by it, I'd be surprised a lot if it could. But nevertheless: if you looked in the eye of a Girl With A Pearl Earring[1], you'd be forced to stop and to think what does she have on her mind right now. Or may be you had some other question in your mind, but it really stops people to think. But none of Dall-E interpretations have th…
> Curbing Misuse [...]
That's great, nowadays the big AI is controlled by mostly benevolent entities. How about when someone real nasty gets a hold of it? In a decade the models anyone can download will make today's GPT-3 etc look like pong right?
Recommender systems etc are already shaping society and culture with all kinds of unintended effects. What happens when mindless optimizing models start generating the content itself?