I'm not worried about unemployment, although that is a problem. I'm more worried about bad actors being able to flood the web (even more than it already is) with realistic-enough content that makes it utterly unusable and unreliable.
Imagine entire subreddits consisting of posts, comments, memes, and photos, and 100% of it is pro-[insert authoritarian regime] and it essentially only cost $1M to do it.
Honestly, I’m worried that shocking pornographic depictions of every women who’s ever posted her face online is coming. AI’s first big splash in our society is going to be a traumatic sexual assault of all women.
That's not assault, but it can definitely be used for harassment and other forms of social damaging. I posted this an excerpt from an article (on anonymous Telegram groups) a few days ago:
Filing charges is pointless, says Ezra. Since two years, she's being harassed on Telegram. It started when she was sixteen: photoshopped nudes with her snapchat account were circulated. They had taken selfies from her social media, and those of her family, and combined them with porn fragments. She doesn't know the perpetrator, but that person takes a lot of trouble to ruin her. "Nowadays, the boys have so many ways to make it look real." source: de Groene Amsterdammer,146/33, p. 21.
If anything, widespread use and understanding of this technology will help with situations like these. Teenagers in 10 years would absolutely not be impressed with a nude picture that has not been somehow verified as legitimate.
That's entirely unfounded optimism, or –less politely put– sticking your head in the sand. Hasn't the printing press shown how easy it is to slander? Has internet taught you nothing about misinformation?
Many seem to forget that Photoshop exists. People have been taking others faces and overlaying them to all sorts of images for years. Nothing about this is new and it hasn’t put society on fire.
Neural networks generalize, otherwise they would not be as powerful as they are today (and I don't know how you can deny that). If your neural network does not generalize then the model is overfitted.
They don't generalize *well. "Deep Learning" as it is done currently, is very limited in its ability to generalize to out of distribution tasks. This is a major area of discussion in research.
The type of generalization necessary to perform what the parent was talking about for instance (synthesizing schematics) is (currently) not possible.
