I remember your definition when I did my 2021 survey:

"You understand a sequence of symbols if you can predict or compress them.
If I wanted to
test if you understand Chinese, I would show you some Chinese text and test
how many
characters you could guess next."

Link to whole survey if interested:
https://drive.google.com/file/d/1XfRZudUomqTuuSmMQDBhlcTmZRrezBl2/view?usp=sharing

To me, this is a bit superficial of a definition, however I think it is
still one plausible level of understanding.


On Wed, May 14, 2025 at 3:01 PM Matt Mahoney <mattmahone...@gmail.com>
wrote:

> Researchers in China demonstrate using LLMs to compress text, images,
> audio, and video. In the abstract of the linked paper they claim 3x better
> text compression than zpaq. In the preprint they also claim to improve on
> lossless images, video, and audio by the simple method of converting pixels
> or audio samples to characters in 2K chunks to fit LLaMA-8B's context
> window.
>
>
> https://techxplore.com/news/2025-05-algorithm-based-llms-lossless-compression.html
>
> Of course this does not include the size of the model. Still, they make
> the important point that compression = understanding. We test understanding
> using prediction, and we measure prediction using compression.
>
> -- Matt Mahoney, mattmahone...@gmail.com
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