11–20 of 234 posts
I see it on recent blog posts, on news articles, obituaries, YT channels. Sometimes mixed with voice impersonation of famous physicists like Feynman or Susskind.
I find it genuinely soul-crushing and even depressing, but I may be over sensitive to it as most readers don't seem to notice.
I wonder why AI labs have not worked on improving the quality of the text outputs. Is this as the author claims a property of the LLMs themselves? Or is there simply not much incentive to create the best writing LLM?
Do we see this in programming too? I don't think so? Unique, rarely used API methods aren't substituted the same way when refactoring. Perhaps that could give us a clue on how to fix that?
Not to detract from the overall message, but I think the author doesn't really understand Romanesque and Baroque.
(as an aside, I'd most likely associate Post-Modernism as an architectural style with the output of LLMs - bland, regurgitative, and somewhat incongruous)
This is a good statement of what I suspect many of us have found when rejecting the rewriting advice of AIs. The "pointiness" of prose gets worn away, until it doesn't say much. Everything is softened. The distinctiveness of the human voice is converted into blandness. The AI even says its preferred rephrasing is "polished" - a term which specifically means the jaggedness has been removed. But it's the jagged edges,…
I'd like to see some concrete examples that illustrate this - as it stands this feels like an opinion piece that doesn't attempt to back up its claims. (Not necessarily disagreeing with those claims, but I'd like to see a more robust exploration of them.)
It has all the tropes of not understanding the underlying mechanisms, but repeating the common tropes. Quite ironic, considering what the author's intended "message" is. Jpeg -> jpeg -> jpeg bad. So llm -> llm -> llm must be bad, right?
It reminds me of the media reception of that paper on model collapse. "Training on llm generated data leads to collapse". That was in 23 or 24? Yet we're not seeing any collapse, despite models being trained mainly on synthetic data for the past 2 years. That's not how any of it works. Yet everyone has an opinion on how bad it works. Jesus.
It's insane how these kinds of opinion pieces get so upvoted here, while worth-while research, cool positive examples and so on linger in new with one or two upvotes. This has ceased to be a technical subject, and has moved to muh identity.
I wonder why AI labs have not worked on improving the quality of the text outputs. Is this as the author claims a property of the LLMs themselves? Or is there simply not much incentive to create the best writing LLM?
"Update the dependencies in this repo"
"Of course, I will. It will be an honor, and may I say, a beautiful privilege for me to do so. Oh how I wonder if..." vrs "Okay, I'll be updating dependencies..."
This is a good statement of what I suspect many of us have found when rejecting the rewriting advice of AIs. The "pointiness" of prose gets worn away, until it doesn't say much. Everything is softened. The distinctiveness of the human voice is converted into blandness. The AI even says its preferred rephrasing is "polished" - a term which specifically means the jaggedness has been removed. But it's the jagged edges,…
I'm sure this can be corrected by AI companies.