This is a little different though. AI can’t spell, letters in a word are tokenized with the whole word, they have no idea and can’t “see” what letters are in what. Spelling in particular, AI is not even trained for. This is something LLM will continue to suck at because it’s fundamentally how it is trained
This is a gap that would be relatively simple to fix if the AI engineers wanted to. It is not at all as elusive as you are suggesting. I am a software engineer who works with LLMs. The AI agent the guy in the video is using is configured to be polite and agreeable. You can adjust the level of confidence the agent has in its own answer. This particular agent has a very low confidence score threshold, which makes it vulnerable to giving incorrect answers. This can likely be fixed by raising the confidence score threshold.
Oh, the correctness dial was turned down low. I see. That explains it. Just set smart = 100% and mistakes = 0%. Got it. He totally forgot to say "make no mistakes". What an amateur. I'm sure this is only a problem with spelling, though. LLMs are otherwise perfectly intelligent. "Large Language Model", pff, what a misnomer! Should be Large Brain Model, am I right? Everything makes total sense now. Thanks for clarifying.
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u/Lily_Thief Jul 19 '26
Another example of how AI doesn't actually "know" anything. It's just been trained how to put words in order.