Take it up with the Markov chain people on this page. It would be too much memory if I kept the data in strings, or even if I used a Python list, but it's not

Take it up with the Markov chain people on this page. It would be too much memory if I kept the data in strings, or even if I used a Python list, but it's not when I use a JavaScript object. It's one of the main points I explained in the original post. You and 2 or 3 others have said "has nothing to do with LLMs" when if you watched the 3Blue1Brown video you would know that GPT uses next-token prediction and it's fundamental to prediction. I never said it was new, and of course have used and built auto-complete in the past, the NPC dialog in one of my games is structured this way. What's novel is crawling huge amounts of data and creating a much larger structure I knew was possible, and realizing at a certain size it can predict further out. Some of you people here are impossible. One guy went as far to say "Auto-complete is not possible using the concepts used in your project." when he can literally `npm i next-token-prediction` and try it himself, I even put an example project in the directory. It's really sad, I expect this level of in-total-denial pretentiousness on Reddit, but not HN, should be more tinkery and evidence-driven here :) Take care.