← Back to context

Comment by Jyaif

4 hours ago

> in this case justifiably so

Oh please. What LLMs are doing now was complete and utter science fiction just 10 years ago (2015).

This.

I’m under the impression that people who are still saying LLMs are unimpressive might just be not using them correctly/effectively.

Or as Primagean says: “skill issue”

Why would the public care what was possible in 2015? They see the results from 2023-2025 and aren't impressed, just like Sutskever.

What exactly are they doing? I've seen a lot of hype but not much real change. It's like a different way to google for answers and some code generation tossed in, but it's not like LLMs are folding my laundry or mowing my lawn. They seem to be good at putting graphic artists out of work mainly because the public abides the miserable slop produced.

Not really.

Any fool could have anticipated the eventual result of transformer architecture if pursued to its maximum viable form.

What is impressive is the massive scale of data collection and compute resources rolled out, and the amount of money pouring into all this.

But 10 years ago, spammers were building simple little bots with markov chains to evade filters because their outputs sounded plausibly human enough. Not hard to see how a more advanced version of that could produce more useful outputs.

  • Any fool could have seen self driving cars coming in 2022. But that didn't happen. And still hasn't happened. But if it did happen, it would be easy to say:

    "Any fool could have seen this coming in 2012 if they were paying attention to vision model improvements"

    Hindsight is 20/20.

    • Everyone who lives in the show belt understands that unless a self driving car can navigate icy, snow-covered roads better than humans can, it's a non-starter. And the car can't just "pull over because it's too dangerous" that doesn't work at all.

      1 reply →

  • I guess I'm worse than a fool then, because I thought it was totally impossible 10 years ago.