Also being able to easily fine tune a model makes gens on your particular subject higher quality than what you can get on anything else that’s not fine tuned.

Ask this question after GPT-4 come out. ChaptGPT can already program pretty darn good.

fuck elon musk, just kidding it's just a voluntary over the air update affect a small percentage of their cars, and 97% of them were fixed before the recall was put out there.

I keep thinking Elon tweets dumb shit ( like the Pelosi conspiracy junk) and I've had enough, but then r/technology gets hold a new overblown fake outrage story of the day like this and feel like I've got to go back to defending.

new styles? you can train on existing styles, then just add some random noise to the latent space. Or you can mix existing styles like you can mix various amounts of red, green, and blue to create new colors.

But I’d say humans would still be involved because even though an ai can generate a new style, it’s ultimately up to humans to decide If the art style is worth while to look at. But you can automate that ranking of art style a bit, indeed ai was used to filter on images worth training stable diffusion on.

Yeah in general terms we’re both right. Can’t reinvent the wheel on absolutely everything.

Though companies need to explore new areas if they want to keep growing or they’ll go extinct or get disrupted. Like Amazon the book company starting the cloud computing industry. And like google getting into all their several hundreds of different lab projects.

Dojo is the seed to grow into a new business to take on AWS cloud for instance.

If you do what everyone else does, then you only get mediocre results.