Mine attempts to lie whenever it can if it doesn’t know something. I will call it out and say that is a lie and it will say “you are absolutely correct” tf.
I was reading into sleeper agents placed inside local LLMs and this is increasing the chance I’ll delete it forever. Which is a shame because it is the new search engine seeing how they ruined search engines
“don’t how they work” misunderstands what scientist mean when they say that (also intentional misdirection from marketing in order to build hype). We know exactly how it works, you describe down to physics if needed, BUT at different levels of abstration in the precense of really world inputs the out puts are novel to us.
Its predicting words that come after words. The “training” is inputing the numerical representation of words and adjusting variables in the algorythem until the given mathmatical formula creates the same outputs as inputs within a given margin of error.
When you cat I say dog. When some says what are they together we say “catdog” or “pets”. Randomness is added so that the algorythem can say either even if pets is majority answer. Make the string more complicated and that randomness gives more oppertunity for weird answers. The training data could also just have lots of weird answers.
Little mystery here. The interesting “we dont know how it works” is that these outputs give such novel output that is unlike the inputs sometimes to the degree it seems like it reasons. Even though again it does not