Combinators are math though. There is a section in the paper that covers the topic of graphs and charts, transforming them to text and then back again to image. They claim 97% precision.
> within a 10× compression ratio, the model’s decoding precision can reach approximately 97%, which is a very promising result. In the future, it may be possible to achieve nearly 10× lossless contexts compression through text-to-image approaches.
Graphs and charts should be represented as math, i.e. text, that's what they are anyway, even when they are represented as images, it is much more economical to be represented as math.
The function f(x)=x can be represented by an image of (10pixels x 10pixels) dimensions, (100pixels x 100pixels) or (infinite pixels x infinite pixels).
> within a 10× compression ratio, the model’s decoding precision can reach approximately 97%, which is a very promising result. In the future, it may be possible to achieve nearly 10× lossless contexts compression through text-to-image approaches.
Graphs and charts should be represented as math, i.e. text, that's what they are anyway, even when they are represented as images, it is much more economical to be represented as math.
The function f(x)=x can be represented by an image of (10pixels x 10pixels) dimensions, (100pixels x 100pixels) or (infinite pixels x infinite pixels).
A math function is worth infinite pictures.