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Today's Large Language Models are Essentially BS Machines
(quandyfactory.com)
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this post was submitted on 12 Sep 2023
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Technology
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And everyone in tech who has worked on ML before collectively says "yeah that's what we've been trying to tell you". Don't get me wrong, LLMs are a huge leap, but god did it show how greedy corporations are, just immediately jumping to "how quick can we lay people off?". The tech is not to that spec. Yet. It will get there, but goddamn do we need to be demanding some regulations now
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.
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.
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.
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.
Microsoft is also using LinkedIn to help as well, getting users to correct articles generated by AI.
Cunningham's Law may be very helpful in this respect.