I’m not surprised. And of those 16 posts how many of them made him mad? Since that seems like the entire purpose of FB anymore. Anger drives engagement. It’s why rage bait works so well. I highly recommend everyone disconnect from Facebook for this reason. Hell Reddit was even going down that path before we all left.

In that case, how/why did they only choose 8000 posts over 6 years? Facebook probably gets more than 8000 new posts per minute.

Thank you. I’ve wondered the same thing. I mean the whole goal of the LLMs is to be indistinguishable from normal human created test. I have a hard time telling most of the time. Now the images I can spot in a heartbeat. But I imagine that will change too.

This doesn't have anything to do with encryption. They had a public database (anyone on the internet could query it) and forgot to put a password on it. It really shouldn't even be public.

Every study uses sampling. They don't have the resources to check everything. I have to imagine it took a lot of work to verify conclusively whether something was or was not generated. It's a much larger sample size than a lot of studies.

Except bureaucrats, of course.

I have to imagine it took a lot of work to verify conclusively whether something was or was not generated

The study is by a company that creates software to detect AI content, so it's literally their whole job.

It’s a much larger sample size than a lot of studies.

It's a very small proportion of the total number of Facebook posts though.

They should bring back chain shot.

Well, there's also 0.1% who are relatives of old people who are tring to keep in touch with the batty old meme-forwarders. I was one of those until the ones who mattered most to me shuffled off this mortal coil.

And statistical analysis. The larger the universe, the smaller the true random sample you need

damn no wonder i feel so cheap after scrolling a fb feed for an hour

this is ai gen so stop it

You know what they say about Al...

It's an extremely small proportion of the total number of Facebook posts though. Nowhere near enough for statistical significance.

The proportion of the total population size is almost irrelevant when you use random sampling. It doesn't rely on examining a large portion of the population, but rather that it becomes increasingly unlikely for the sample set to deviate dramatically from the population size. This is a function of the number of samples you take, decoupled from the population size.

https://en.wikipedia.org/wiki/Sampling_(statistics)