What reading really is
Teaching a machine to read is how we learn what reading really is. Every step — splitting text into tokens, mapping tokens to vectors, folding context back in — forces a decision about what meaning is made of.
This corner of Numbers follows language from raw characters to a structure a computer can act on, and notices where the translation quietly throws information away.
Reference entries are on the way. Until then, the useful intuition is that a model sees geometry where you see words.