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this post was submitted on 09 Apr 2026
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[Replying to myself as this is a tangent]
I think the "bots can generate misinfo even if you just feed them correct info" point deserves its own example.
Let's say you're making a model. It looks at the preceding word, and tries to predict the next. And you feed it the following sentences, both true:
1. Humans are apes.
2. Cats are felines.
From both the bot "learnt" five words. And also how to connect them; for example "are" can be followed by either "apes" and "felines", both having the same weight. Then, as you ask the bot to generate sentences, it generates the following:
3. Humans are felines.
4. Cats are apes.
And you got bullshit!
What large models do is a way more complex version of the above, looking at way more than just the immediately preceding word, but it's still the same in spirit.