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I still think calling any of these poorly trained algorithms “AI” is an insult to the very concept of intelligence, artificial or otherwise. It’s like training a very single-minded dog, but one that can’t do general learning and apply what it learns to dissimilar problem spaces. I’m very salty about everyone just accepting the empty marketing coopting of the terminology.
What is a poorly trained algorithm?
most of these so-called “AI” implementations are just self-optimizing algorithms trained with incomplete or biased data for a very specific problem. A lot of them can’t even do something in the same problem space that wasn’t part of their training data correctly.
Oh yeah I see what you mean. I struggle with discerning them though.
I worry that the training data for deepfakes is suspiciously normative. (there seems to be no neurodiverse, queer, or (physically) disabled people in those training sets).
Well first deepfakes need to die. It’s a dangerous tech that should not exist at all and does not need any more research.
To be fair, i haven’t dug into deepfake models, but i assume you would train them on the specific person you’re trying to deepfake: i mean for basic video stuff going with a pre-trained model may be ok but for audio there’s no way you can get away with it ;)
There are also specific ML models for audio that sound pretty convincing in replicating a specific person’s voice.
I guess it works fine for very formal speech, where most voices sound alike. But i have strong doubts that it would capture the subtleties of popular/queer speech
Actually the opposite, among the best ones are cartoon characters from TV shows, see https://fakeyou.com/ for example, and that is probably still far from what can be done with a bit more effort.
Edit: https://www.wired.co.uk/article/simpsons-deepfake-voice-actors-ai
You’re precisely proving my point that you need a huge sample of voice from that person in order to “replicate” them ;)
EDIT: For example, in the case of Simpsons, they have 25 seasons of voice data to train the model.
Pull funding into academia like a magician pulling an endless scarf out of their sleeve.
I’ve got a copy of Star Trek: Deep Space Nine that was remastered/upscaled using AI. I found the difference in quality to be impressive and a very clever DIY way of working around Paramount delaying its own proper remastering using original footage.
Topaz Video Enhance AI is slow but very useful for old videos that don’t have a high resolution.
I’m super looking forward to a Lord of the Rings AI remaster
I also watched that and found it so much worse than the original version. Makes all the flaws (eg makeup) completely stand out.
Deepfakes are both impressive and really scaring.
I found assisting in chip design to be very interesting.
AI voice synthesis has a great application for making games, especially indie games where devs don’t have the budget for voice actors. This project is a good example of how good this stuff is getting https://www.youtube.com/watch?v=W-9SFoNuTtM
Typical… Robots taking jobs😉
Robots taking jobs being seen as a negative highlights just how insane capitalism is. In a sane world we’d be celebrating having less work.
AlphaZero. Being able to play many games without even knowing the rules is really impressive to me.
I did that recently with a game off f-droid called nonocross…does that make me valuable? Someone…anyone?
The difference is “AI” took dozens of billions of tries to “learn” to play those games. More like bruteforcing into a problem not intelligence ;)
super fun game! thx for recomendation
Ai can generate the faces of people that don’t exist.
It creeps me out
watch as humanity kills themselves
Play chess.
quality of auto closed captions for a few dialects of english