this post was submitted on 25 Feb 2024
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The SALAMI situation is so bad.
Problem: Our training data is super racist, so it always generates white people!
Solution: Modify the prompts so that when a user asks for "a picture of a man" 10% of the time it is changed to "a picture of a BLACK man".
New problem: When the user says "A picture of a Nazi" 10% of the time our fix interprets that as "A picture of a BLACK Nazi"
Also, when the prompt is modified to include "native american" it seems to mostly return the most stereotypically dressed people possible. Like wearing traditional garbs and headdresses when everyone else portrayed is wearing setting appropriate clothing.
Yep, it's racism piled on top of racism. Aboriginal people are rarely included in the training data, but when they are it's mostly wearing what they wear for tourists, and rarely what they wear on a day-to-day basis in the modern world. As a result, that's what you get in the output.
The real fix would be to fix the training data, but that's difficult. It's much easier to train the SALAMI on the racist things that you find all over the web, than to be selective and say "sure, this may be on the web, but it isn't representative of reality".
So it's a glorified chat database.
The input to an LLM is effectively a huge quantity of text including chats. What the generative LLM does is nothing more than fancy auto-complete, finding the next word, then the next word, then the next word...