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[-] Dark_Arc@social.packetloss.gg 38 points 1 year ago

The tech is not to that spec. Yet.

I'm not sure it will. At least, not this tech, not this approach to the problem. From my understanding there's fundamentally no comprehension; it's not bugged, broken, or incomplete, it's just not there... it's missing from the design.

[-] communist@beehaw.org 18 points 1 year ago

We don't know that for sure yet, we saw a lot of emergent intelligent properties appear as we scaled up, and we're nowhere near done scaling LLM's, I'm not saying it will be solved, just that we don't know one way or the other yet.

[-] BotCheese@beehaw.org 7 points 1 year ago

And we're nowhere near dome scalimg LLM's

I think we might be, I remember hearing openAI was training on so much literary data that they didn't and couldn't find enough for testing the model. Though I may be misrememberimg.

[-] newde@feddit.nl 5 points 1 year ago

No that's definitely the case. However, Microsoft is now working making LLM's more dependent on several high quality sources. For example: encyclopedias will be more important sources than random reddit posts.

[-] HobbitFoot@thelemmy.club 2 points 1 year ago

Microsoft is also using LinkedIn to help as well, getting users to correct articles generated by AI.

[-] Zaktor@sopuli.xyz 2 points 1 year ago

Cunningham's Law may be very helpful in this respect.

"the best way to get the right answer on the internet is not to ask a question; it's to post the wrong answer."

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this post was submitted on 12 Sep 2023
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