skandium

8 ms·

1.
The changing goalposts of AGI and timelines(mlumiste.com)
404 points by skandium 6mo ago|388 comments
2.
The Macroeconomics of Agentic AI: Are We the Peasant or the Horse?(mlumiste.com)
1 points by skandium 7mo ago|0 comments
3.
Animating old family photos for $0.36 each(mlumiste.com)
2 points by skandium 8mo ago|0 comments
4.
by skandium 1y ago
One of the great tragedies of the world is that while he is arguably the philanthropist with the highest positive impact in human history, a significant part of the population seems to still think he is the literal Antichrist.
5.
by skandium 2y ago
Well, this isn't probably a problem with the model, but the source frame having wrong eye gaze. Besides, perceptually lossless need not be defined in a side-by-side comparison context. If you were only viewing the right hand side video
6.
by skandium 2y ago
This is my field as well, although I come from the neural network angle. Learned video codecs definitely do look promising: Microsoft's DCVC-FM ( https://github.com/microsoft/DCVC ) beats H.267 in BD-rate. Another b
7.
Perceptually lossless (talking head) video compression at 22kbit/s(mlumiste.com)
225 points by skandium 2y ago|140 comments
8.
by skandium 3y ago
If you look at the winners of the Hutter prize, or especially the Large Text Compression Benchmark, then almost every approach uses some kind of machine learning approach for the adaptive probability model and then either arithmetic coding
9.
by skandium 3y ago
Exactly, in practice the alternatives are either blocky artifacts (JPEG and most other traditional codecs), blurring everything (learned codecs optimised for MSE) or "hallucinating" patterns when using models like GANs. However, i
10.
Compressing Images with Neural Networks(mlumiste.com)
171 points by skandium 3y ago|69 comments
11.
Quarterly planning is a noisy optimisation problem(mlumiste.com)
3 points by skandium 3y ago|0 comments