99
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 24 Jun 2023
99 points (100.0% liked)
Technology
37739 readers
481 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
One enables the other, or rather the snake is constantly eating itself. SEO content and clickbait were already plagiarizing and consuming human communication, polluting the web by crowding out actual information -- ChatGPT and LLMs calcify and turbo-charge this. Tech companies are reacting by piling their own LLMs on top -- ingesting garbage and generating yet more garbage. Soon enough, appending " reddit" to our search terms will not be enough to quickly and freely get human information from the web.
Meanwhile -- laymen are being told that ChatGPT is an oracle, an intelligence, by companies and enthusiasts trying to build a crypto-style hype train. And the laymen are reacting accordingly. They are being told that ChatGPT knows everything. It doesn't even know what a pineapple is.
Yeah, the direction commercial AI took is truely disheartening... Like, AI is a useful tool, but it's been buisnesized where everyone puts AI is places where it shouldn't be. Mostly because people don't understand what they are doing so surely an AI model will...
The other day a dude wanted to dev an app with me about some random shit with an AI, except it could all be done with standard algorithms, and would probably perform much better too.
I looked at him and almost facepalmed on the spot...
Yeah, like that one in this thread who uses an LLM in Python to perform trivial tasks. They write a function with an LLM prompt as the body and then it gets executed by the LLM at runtime. Python was apparently not inefficient enough.
I don't know, if I need a trivial function I just code it. Then I know it works and performs in a decent time.
I mean, that use case is definitely cool, but there is no way this should ever be used in production code.
It's kinda like using dynamite as a novel heating system.