Post #1552997

2026-03-26 13:23 UTC

Whatever the hypesters may tell you, LLMs do NOT reason. Given two conflicting versions of a story, they’ll go for the one that is repeated more often. The sequence of tokens representing a false narrative is – if the astroturfers have done their job right – statistically more probable than the sequence representing a factual account, so it's the false narrative that will get coded into the model and trotted out on demand. 2/

Replies (3)

@angusm@mastodon.social 2026-03-26 13:31

Imagine the opportunities for people pushing pseudoscience like Creationism or vaccine denial, or political propaganda, or corporate FUD. In some ways, it's an extension of conventional SEO, which has always aimed to "put your story first", but now the untruths are delivered with the authority of "AI" (argumentum ab roboto), not just on search results pages, but in any other context where a naive user interacts with an LLM, e.g. with a chatbot. 3/

Open ##1552998
@SueDiOh@mastodon.social 2026-03-26 15:17

@angusm Many people seem to have forgotten the meaning of the word "model" and I think that's where they go wrong.

Open ##1553007
@adingbatponder@fosstodon.org 2026-03-26 18:49

@angusm Does this mean that the training is based on stats? So can an AI be trained on a training set with only one example of each target case?

Open ##1553008