this post was submitted on 12 Jul 2024
284 points (100.0% liked)

Technology

37712 readers
171 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
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 1 points 3 months ago* (last edited 3 months ago) (1 children)

LLMs are predictive associative token algorithms

Ah, so they produce parts of words instead of whole words at a time. Totally different.

with a degree of randomness and self reflection.

And they're hooked up to random number generators so if you give it the same input twice you'll get different output. Totally makes it smarter.

A key aspect is that anything can be a token

...much like predictive text. Rarely will you find one that doesn't suggest punctuation on occasion.

they can self feed their own output

...much like predictive text.

as well as output control input for other algorithms.

Oh, so you can tell it to suggest certain tokens more or less often. How fancy.

It remains to be seen whether the core of human intelligence is much more than that.

I mean, I'd say the ability to visualize things and reason about scenarios it hasn't experienced before are a good start.

[–] [email protected] 1 points 3 months ago

Not sure if you were unable or unwilling to understand anything of what I wrote, and I don't like your tone. Feel free to come back with something more serious.