HN user
Diffusion models can be used to lossily compress images for real, see for example Lossy Compression with Gaussian Diffusion (https://arxiv.org/abs/2206.08889). I would expect this to work with text-conditional diffusion models too and give you better compression when supplying a correct caption.
I have a 512x512 version now too! https://colab.research.google.com/drive/1QBsaDAZv8np29FPbvjf...
That should be a medium dose, I think.
I found a matplotlib-compatible implementation of these colormaps here (under the 'scientific' submodule): https://jiffyclub.github.io/palettable/
After AlphaZero, DeepMind went on to develop MuZero (https://en.wikipedia.org/wiki/MuZero, paper: https://arxiv.org/abs/1911.08265), which is able to learn to play games without being provided an explicit model of their rules. "When evaluated on Go, chess and shogi, without any knowledge of the game rules, MuZero matched the superhuman performance of the AlphaZero algorithm that was supplied with the game rules."
Needs to be combined with prompt cooling for cryopreservation.
Discord has already had it for a while. Some users seem to appreciate the mandatory cooling-off period while others feel it makes it harder for them to respond when a bunch of users pile on them in quick succession.
My go-to library for parsing in Python is https://github.com/pyparsing/pyparsing, a https://en.wikipedia.org/wiki/Parsing_expression_grammar -based https://en.wikipedia.org/wiki/Parser_combinator library. I generally find it much easier to get my head around parser combinators than parser generators.
Witty as hell, to boot:
"...perhaps we may have to compromise with sin and provide a hard copy terminal after all."
giggles
"In the second place, you will see that the new information system will make the public more responsive to the careful reasoning of you good guys and more immune to the blatant propaganda of those bad guys."
Up with Good! Down with Bad!
(But seriously, futurism generally isn't this uncannily accurate. I know hindsight lets me select the best predictions a posteriori - anyone know any way of improving this? - but it's still interesting.)