Tagged “ai”

Ethics of the theft of artistic style.

Some variations, on the challenges of identifying speakers, noise, voice recognition (lot of people using Whisper now).
On perfect memory preventing you from escaping the past - getting caught up reliving things.

Explain text from papers or answer questions. Cool way to fill in gaps on unfamiliar topics.

From show HN

what a time to be alive

Another AI writing tool to try

animate frames between two images

Simpler image variation than stability-ai one, from another random deep learning company.

A quick look at their website and making a text-to-pokemon model looked interesting.

who is paying for all these gpus

3d model generation (or animation of, at least) from single reference image and a pose

Very easy to follow setup guide for Stable Diffusion, and for running python apps on windows.

Installed windows terminal, setup anaconda prompt to auto init directory. Just some good stupid little tips like that

The dataset used to build krea.ai.
Also discussion of Lexica.
Finding and learning prompts continues to be a whole thing.

Great point that inputs and prompts are actually more like search queries, and great explainer of mapping tagged images to dimensions.

Is searching a boundless space creativity? If all images are represented as numbers, and you are basically picking a number, are you creating or finding? Common twitter sentiment I have seen recently is that it isn't creative work, that feeding/refining prompts is really just more like search. Or that it's like gambling.

great write up of working through some prompts and backgrounds used for some drawings. For some reason I particularly liked how they added birds

Can search queries be considered creative input?

Looking inside the black box

Still mixed feelings on DALL-E, the book is good though. Useful some well-explained concepts.

from hn.

some interesting extra ideas, on top of those from the DALL-E prompt book - tricks like "in a circle" to get something logo-style that is sufficiently centred.

Also smart:

Finally, I did a bunch of Google reverse image searches for it. You know, just to be sure.

Check back on his blog in a year

Interesting that the generated drawings often have strange faces/hands. Is it because they are more complex shapes? Because we notice issues with them more?

real-time, controllable deepfakes ready for virtual cameras injection. The future is terrifying

Another text-to-image model. This stuff is getting crazy

Me too, buddy. Me too

Hand tracking in the browser!

Paper suggesting that innovation and autocracy can be mutually reinforcing, with data and case studies from China.

An impressive recommendation from @patio11

Also does voice generation from text! And remove filler words. Some cool stuff in there.

Crazy stuff. Also the generated faces

Very interesting discussion. Computers' ability to solve tasks goes from 'impossible' to boring as soon as they solve it! Though I am still regularly impressed by GPS...

I’m midway in the philosophizing here, but my point so far is obvious enough: The ability of a machine to do or outdo something humans do is interesting once at most. Deep Blue isn’t playing chess anymore and Watson isn’t on “Jeopardy!” because nobody cares. It doesn’t matter. We humans need to see the human doing it: Willie Mays making the catch that doesn’t look possible. When it comes to art, we need to see a woman or a man struggling with the universal mediocrity that is the natural lot of all of us and somehow out of some mélange of talent, skill, and luck doing the impossible, making something happen that is splendid and moving—or funny, or frightening, or whatever the artist set out to do.

I don't know if I am as blown away as Alex but this is very cool. Like machine pair programming with text.

This is the kind of thing where you think "oh sure that would be a neat side project" but the reality is an immense amount of effort

Variations on tomato farming

All three volumes of Game AI Pro available online! For free!

Digging through the history of biases and problems with training data and categories used for ML tasks