Yeah that’s a good point. I have no idea how you’d go about solving that problem. Right now you can still sort of tell sometimes when something was AI generated. But if we extrapolate the past few years of advances in LLMs, say, 10 years into the future… There will be no telling what’s AI and what’s not. Where does that leave sites like StackOverflow, or indeed many other types of sites?
This then also makes me wonder how these models are going to be trained in the future. What happens when for example half of the training data is the output from previous models? How do you possibly steer/align future models and prevent compounding errors and bias? Strange times ahead.
This then also makes me wonder how these models are going to be trained in the future. What happens when for example half of the training data is the output from previous models? How do you possibly steer/align future models and prevent compounding errors and bias? Strange times ahead.
Between this and the “deep fake” tech I’m kinda hoping for a light Butlerian jihad that gets everyone to log tf off and exist in the real world, but that’s kind of a hot take
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !technology@beehaw.org
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.
Yeah that’s a good point. I have no idea how you’d go about solving that problem. Right now you can still sort of tell sometimes when something was AI generated. But if we extrapolate the past few years of advances in LLMs, say, 10 years into the future… There will be no telling what’s AI and what’s not. Where does that leave sites like StackOverflow, or indeed many other types of sites?
This then also makes me wonder how these models are going to be trained in the future. What happens when for example half of the training data is the output from previous models? How do you possibly steer/align future models and prevent compounding errors and bias? Strange times ahead.
Between this and the “deep fake” tech I’m kinda hoping for a light Butlerian jihad that gets everyone to log tf off and exist in the real world, but that’s kind of a hot take
But then they’d have to break up with their AI girlfriends/boyfriends 🤔.
spoiler
I wish I was joking.