this post was submitted on 18 Sep 2024
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Cant blame me for asking :)
Seems like tools to recognize ai content to prevent synthetic input avoids model degredation.
If those tools are up to the task then i would agree it probably doesnt hinder model training. Not sure what the reality is, or if the need for those tools creates a barrier to entry for a significant portion of those trying to create models with internet-crawled data.
There is no problem with ingesting synthetic data. Well, at least none coming from the fact that it is synthetic. If there was a fundamental difference between the 1s and 0s encoding synthetic data and the 1s and 0s encoding any other data, then you could easily filter it. But there isn't. The ideas that this community has are magical thinking.
I want to be constructive so:
Please consider the unintentional disinformation people create when they try to sound like they know what they are talking about. Contributing to discussion is difficult on complex topics.
Its perfectly natural to want to continue a conversation to the point where you might fill in some details instead of researching a topic or not responding. But this is seriously harmful in the age of disinformation. Theres plenty i dont know. But there are tools expressly created to identify ai content to avoid using it in model training. The consequence of using synthetic data is the only topic in the article you are commenting on. Either read the article or please dont feel like you need to come up with a response.
Yes, I shouldn't bother replying in these threads. In truth, I've already given up on this community but sometimes when I'm bored I can't help a little peek. Maybe in a few years, some of the smarter ones will wonder why nothing ever came of this. Anyway, be careful with those AI detectors. They don't work and sooner or later someone is going to get in trouble over that.