[nutjob2]

Its not about the tech, the negativity is due to the mismatch between hype and reality. LLMs are incredibly useful, for certain things, like the ones you have found. Others simply don't work.

Is it going to deliver on even 1% of the hype any time soon? Unlikely.

[senordevnyc]

1% of what hype? AGI? Because other than AGI, I think it's delivered on most of the hype already.

I think our tooling is holding us back more than the actual models, and even if they never advance at all from here (unlikely), we'll still get years of improvement and innovation.

[r0m4n0]

I'm mostly saying the hype is real on a lot of things today. Is it working perfectly for everything? Definitely not, but I'm of the opinion giving it another 10 years and it just might be. I'm amongst the many working to make it better and all I see is a million possibilities of what can be done that we have only worked through a few of the issues. Did it change EVERYTHING over night? No, it was a big breakthrough, the rest is still catching up.

[nutjob2]

Hype along the lines of people not having work anymore and that "AGI" is around the corner, etc are real?

Yes strong AI is always about 10 years off.

But yes any new tech takes time to work itself out. No question that LLMs are useful but they will wildly under-deliver by current hype standards. They have their own strengths and weaknesses like everything, but they can be very misleading, thus the hype.