Is it being poisoned because the generated data is garbage or because the generated data is made by an AI?
Using a small model let’s it be shown faster but also means the outputs are seriously terrible. It’s common to fine tune models on gpt4 outputs which directly goes against this.
And there is a correlation between size and performance. It’s not a rule per say and people are working hard on squeezing more and more out of small models, but it’s not a fallacy to assume bigger is better.
I think it’s also worth keeping in mind that some people use AI to generate “real sounding” content for clicks, or for scams, rather than making actual decent content. I’d argue humans making shitty content is going to be on a much worse scale as AI helps automate it. The other thing is I worry AI can’t as easily tell human or AI made bullshit from decent content. I may know the top 2 google results are AI gen clickbait, but whatever scraping content en masse may not bother to differentiate. So it might become an exponential issue.
Is it being poisoned because the generated data is garbage or because the generated data is made by an AI?
Using a small model let’s it be shown faster but also means the outputs are seriously terrible. It’s common to fine tune models on gpt4 outputs which directly goes against this.
And there is a correlation between size and performance. It’s not a rule per say and people are working hard on squeezing more and more out of small models, but it’s not a fallacy to assume bigger is better.
I think it’s also worth keeping in mind that some people use AI to generate “real sounding” content for clicks, or for scams, rather than making actual decent content. I’d argue humans making shitty content is going to be on a much worse scale as AI helps automate it. The other thing is I worry AI can’t as easily tell human or AI made bullshit from decent content. I may know the top 2 google results are AI gen clickbait, but whatever scraping content en masse may not bother to differentiate. So it might become an exponential issue.