Just another flavor of cynicism for me. Before AI, I would look at most “cute” animal videos and just see an animal performing a trained trick under the guise of “Omg, LOOK my dogs love spontaneously hugging each other, isn’t that cute??!!”
People have ALWAYS lied on the internet.
There was a wave of “sleepy baby animals collapsing in sleep together” on Spez’s site until someone figured out most of them were “sleepy” because they were drugged.
It’s not that hard to spot; my mother will watch them sometimes. A parrot using complete sentences and witty turns of phrase about a cat trying to attack them? Yeah no. But how do you get a “I just want to sit under my blanket, eat soup and watch cute animal videos” boomer retiree to understand she’s destroying the world by paying attention to this?
she’s destroying the world by paying attention to this
Okay, I’ll bite. How exactly is your mom “destroying the world” by paying attention to it?
By actively selecting these videos, watching them, sometimes multiple times through, going back to them to show them to me “You’ve got to see this video I saw” god hate fucking dammit, she’s driving revenue toward their uploaders, which is causing them to pave over the entire continent of North America with data centers that are destroying the concept of truth itself and murdering the environment.
get her on libretube she can watch it all day with no effect
Before ai there was photoshop. People who knew how to use it could make good fakes, but far from everyone could do that.
Then ai was created, it was fun to experiment with image generation, but it still was kind of a toy, and images was obviously generated.
Now ai became so advanced, that some ai “photos” or “artworks” require through examination to determine whether its real or fake.
If ai is so “good” right now, future generations of ai will make it nearly impossible to distinguish real pictures from generated, doesnt matter if its a photo, drawing, or other digital artwork.
AI has plateaued.
It’s certainly still improving in many areas - like coding assist, for sure. I think video generation is still improving but it takes a shit ton of resources, so it’s a bit slower. Maybe image generation has plateaued, but that could certainly be temporary. There are lots of more niche applications that are still progressing at a slower pace like I just read an article on using image processing AI in fertility clinics to better predict viability of embryos for implantation. Cool stuff that could actually improve people’s lives.
medical applications of machine learning are a pretty far cry from llms/genai
