Looks like my tokenization review method was incorrect - honestly a little embarrassing on my part. I think it would have been a lot longer before I discovered it, so thanks for the comment!
I did just go through and ran equivalent code samples in the GlyphLang repo (vs the sample code I posted that I'm assuming you ran) through tiktoken and found slightly lower percentages, but still not insignificant: on average 35% fewer than Python and 56% fewer than Java. I've updated the README with the corrected figures and methodology if you want to check: https://github.com/GlyphLang/GlyphLang/blob/main/README.md#a...
