> Part of this can be good (you talk about what they care about, where 90% of broadcast messaging might not apply) and part of it can be bad (manipulation.)
Side note: it's manipulation either ways because you chose what to talk about, with a goal in mind.
Actually, no. "Manipulation" is a negatively loaded word, and you wouldn't use that word if f.ex. someone helpfully & truthfully helps others see they've misunderstood sth.
I disagree. Whether something is manipulation depends on whether you are trying to change someone’s opinion or behavior, not on whether the manipulator has “good” or “bad” intentions, since those judgments are not objectively universal.
They could use an agent to summarise the source material, and then train models on those summaries, and claim that some sort of clean-room training has happened?
I understand you're trying to be funny, but my point is that with novel technology there are novel ways to claim innocence in courts because of the legislative void.
This is a great statistical analysis and it was a pleasure to read, but I wasn't expecting the claims to be so poorly supported.
There's also a reply from one of the Meta authors there, worth checking out.
Which claims do you think are poorly supported? I'm the author; I tried to include everything other people need to repeat the same experiments. I've even had two people write in directly to me, stating that they have been able to replicate my findings.
Or are you referring to the claims from Meta, Google, and Adobe -- which failed to hold up under independent evaluation.
You are also correct that one of the meta authors wrote in a comment. However, he demonstrated a clear lack of understanding regarding what makes the bits "independent" or how to resolve the independence problem.
> Or are you referring to the claims from Meta, Google, and Adobe -- which failed to hold up under independent evaluation.
This.
> However, he demonstrated a clear lack of understanding regarding what makes the bits "independent" or how to resolve the independence problem.
Yes, I didn’t want to call it out explicitly, but this is exactly the kind of thing that would have made my undergraduate statistics professor lose patience.
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