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RE: Making SPAM fighting on Steem into a game of skill
This is fascinating - I didn't know this existed and it's incredibly interesting. I'm probably going to get sucked in to it now and lose my day.
That would definitely explain why the articles appear to make sense but at the same time, they don't. One of the ones I read seemed to have a random thread that was totally unrelated to the main thread. In a coherent but totally illogical sense. I think you're right in that their posts are being generated in this way - it almost appears obvious now that my eyes have been opened!
These settings seem like they might be decent for distinguishing between human and whatever they're using... Now if I just had 8 or 10 million SP worth of downvote strength. ;-)
GPT-2(?)
Human
I still don't really know how to read those histograms. It would be nice if it could all be boiled down to a single number, instead of needing to take a SWAG from the coloring.
There was once a time when this kind of downvoting power was supporting the fight against abuse - unfortunately, it got too close to Tron towers and that support ended.
Although this look compelling, it's not the kind of slam dunk you get from plagiarism or spamming ☹️
Agreed. I would love to see an evaluator that produces some sort of level of confidence estimate. As AI gets better and better, this will be an increasing challenge in many areas, not just here. I can imagine it evolving into the sort of "cat and mouse" game that we currently see with malicious software detection.
Now that I know about it, I see a lot of posts and think "that's the kind of meaningless crap that gpt-2 produces".
I've had a bit of a play around with it now and it's really not very good - Although they might be using GPT-3 which I can't find much of for free.
All three of those points match my observations.
Still, GPT-2 is just good enough that there's always a nagging doubt for me, especially as to whether it might be due to a language issue caused by English as a second language or translation with something like Google Translate or DeepL.