uishax
uishax t1_j98a46e wrote
Reply to comment by Redditing-Dutchman in What’s up with DeepMind? by BobbyWOWO
It sounds extremely dumb to fire your AI engineers at the beginning of 2023, when its plainly obvious the AI tsunami is about to hit. They have been employed for a decade now, when AI produced no economic returns, so no point laying off them now.
uishax t1_iw3uie0 wrote
Reply to comment by AdditionalPizza in DeviantArt AI Update: Now Artists Will Be "Opted Out" For AI Datasets by LittleTimmyTheFifth5
Well, the main problem is, their current model is crap, it just looks like a standard SD implementation, which is 3 months late to the party.
This market is insanely crowded, to stand out, you need a model that blows people's minds, even if it is for a narrow style. Midjourney v3 had that unique painting style, and v4 is just the strongest in general. NovelAI specialised on anime, which worked exceptionally well.
They needed to come out of the gates swinging, so that there's a ton of fans loving the feature, who will support deviantart. Instead, all the AI art enthusiasts, just tried it twice, said meh, and left. While the existing artists seethe at Deviantart for this big middle-finger.
I think this is pretty much the nail in the coffin for deviantart, it'll go the way of tumblr very soon, utterly incompetent execution.
uishax t1_ivixeq6 wrote
Reply to comment by [deleted] in [D] At what tasks are models better than humans given the same amount of data? by billjames1685
The stable diffusion model is only 4GB, yet its enough to describe almost anything visually. Its also an extremely size-unoptimized model.
Now the 800MB is mostly spent on other things, but even 8mb, if optimized enough, is plenty to encode a vast amount of visual information into our brains, including a hyper-efficient-accurate human face recognizer, a hatred of bugs/mice/spiders/snakes, a liking of fluffy and shiny stuff, etc.
uishax t1_je43wfy wrote
Reply to comment by mescalelf in IBM unveils world's first quantum computer dedicated to healthcare research by Dr_Singularity
Quantum computers, like nuclear fusion, look like they could use a heavy dose of AI-assisted research from GPT-7/8.