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> And people just sit around, unimpressed, and complain that ... what ... it isn't a perfect superintelligence that understands everything perfectly?

IMO there are two distinct reasons for this:

1. You've got the Sam Altman's of the world claiming that LLMs are or nearly are AGI and that ASI is right around the corner. It's obvious this isn't true even if LLMs are still incredibly powerful and useful. But Sam doing the whole "is it AGI?" dance gets old really quick.

2. LLMs are an existential threat to basically every knowledge worker job on the planet. Peoples' natural response to threats is to become defensive.




I’m not sure how anyone can claim number 2 is true, unless it’s someone who is a programmer doing mostly grunt code and thinks every knowledge worker job is similar.

Just off the top of my head there are plenty of knowledge worker jobs where the knowledge isn’t public, nor really in written form anywhere. There just simply wouldn’t be anything for AI to train on.


> LLMs are an existential threat to basically every knowledge worker job on the planet.

Given the typical problems of LLMs they are not. You still need them to check the results. It’s like FSD, impressive when it works, bad if not, scary because you never known beforehand when it’s failing


Yeah, the vast majority of what I spend my time on in a day isn’t something an LLM can help with.

My wife and I both work on and with LLMs and they seem to be, like… 5-10% productivity boosters on a good day. I’m not sure they’re even that good averaged over a year. And they don’t seem to be getting a lot better in ways that change that. Also, they’re that good if you’re good at using them and I can tell you most people really, really are not.

I remember when it was possible to be “good at Google”. It was probably a similar productivity boost. I was good at Google. Most (like, over 95% of) people were not, and didn’t seem to be able to get there, and… also remained entirely employable despite that.


I used to be firmly in this camp, but I'm not any more.

Even if they fail 1% of the time, the cost savings are too great. Businesses will take the risk.




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