Comment by sigmoid10

I guess they still use a tokenizer? Why would this kind of issue be solved? The model fundamentally can't see the word character by character like you do. For o200k tokenizers for example, what the model sees are 3 tokens: [302, 1618, 19772]. These are shown to you as ["st", "raw", "berry"] in the UI. The only way any model can infer individual characters is by using external tools or implicit knowledge picked up during training or (what many of the big labs apparently do) special training for these edge cases that fail once the next special case comes along.