151
Today's Large Language Models are Essentially BS Machines
(quandyfactory.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 12 Sep 2023
151 points (100.0% liked)
Technology
37708 readers
153 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
I’m giving up here but evolution did not “design” us. LLMs are designs and created with a purpose in mind and they fulfill that purpose. Humans were not designed.
In cybernetics that's irrelevant as the purpose of a system is what it does. I can design an algorithm that plays pong, I can write a program to evolve one, they might actually end up being identical and noone could tell.
It's entirely not irrelevant. Even if you create a program to evolve pong, that was also designed by a human. As a computer programmer you should know that no computer program will just become pong, what an idiotic idea.
You just keep pivoting away from how you were using words to them meaning something entirely different; this entire argument is worthless. At least LLMs don't change the definitions of the words they use as they use them.
Playing pong. Inputs: ball (and possibly enemy) position, output: paddle left or right. Something like NEAT will very quickly come up with the obvious "track the ball" approach using just as many AST nodes as you would.