Comment

Comment by edfletcher_t137

It doesn't "know" what words are, only tokens. Use this tool (https://platform.openai.com/tokenizer) to see how it tokenizes and note clearly that it does not always do so on word boundaries. "Including" is two tokens: "In" and "cluding". In fact it's context-dependent: "Gravitas" is three on its own ("G", "rav" and "itas") or sometimes two ("grav" and "itas"). As they note on that page: "A helpful rule of thumb is that one token generally corresponds to ~4 characters of text for common English text." It "knows" nothing about words and we already know it's very bad at math so this result is entirely unsurprising.

Discussion

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton