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this post was submitted on 06 Jul 2023
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Yeah, that's how these models work. They have also have a context limit, and if the conversation goes too long they start "forgetting" things and making more mistakes (because not all of the conversation can be fed back in).
Is that context limit a hard limit or is it a sort of gradual decline of “weight” from the characters further back until they’re no longer affecting output at the head?
Nobody really knows because it's an OpenAI trade secret (they're not very "open"). Normally, it's a hard limit for LLMs, but many believe OpenAI are using some tricks to increase the effective context limit. I.e. some people believe instead of feeding back the whole conversation, they have GPT create create a shorter summaries of parts of the conversation, then feed the summaries back in.
I think it’s probably something that could be answered with general knowledge of LLM architecture.
Yeah OpenAI’s name is now a dirty joke. They decided before their founding that the best way to make AI play nice was to have many many many AIs in the world, so that the AIs would have to be respectful to one another, and overall adopt pro social habits because those would be the only ones tolerated by the other AIs.
And the way to ensure a community of AIs, a multipolar power structure, was to disseminate AI tech far and wide as quickly as possible, instead of letting it develop in one set of hands.
Then they said fuck that we want that power, and broke their promise.