One pattern I've noticed recently is sort of formulaic comments that look okish on their own, maybe a bit abstract/vague/bland, and not taking a particular side on good/bad in the way people like to do, but really obviously AI when you look at the account history and they're all the same formula:
>this is [summary]
>not just x, it's y
>punchy ending, maybe question
Once you know it's AI it's very obvious they told it to use normal dashes instead of em dashes, type in lowercase, etc., but it's still weirdly formal and formulaic.
For example from https://news.ycombinator.com/threads?id=snowhale
"this is the underreported second-order risk. Micron, Samsung, SK Hynix all allocated HBM capacity based on hyperscaler capex projections. NAND fabs are similarly committed. a 57% reduction in projected OpenAI spend (.4T -> B) doesn't just affect NVIDIA orders -- it ripples into the memory suppliers who shifted capacity to HBM and away from commodity DRAM/NAND. if multiple hyperscalers revise down simultaneously you get a situation similar to the 2019 crypto ASIC overhang: companies tooled up for demand that evaporated. not predicting that, but the purchasing commitments question is real."
"is real" is another big red flag, go search this in comments. There appear to be at least three accounts posting direct LLM outputs.
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
I've certainly noticed the summary posts.
I'll actually post a comment or question and I'll get a reply with a bit of a paragraph of what feels like a very "off" (not 'wrong' but strangely vague) summary of the topic ... and then maybe an observation or pointed agenda to push, but almost strangely disconnected from what I said.
One of the challenges is that yeah regular users don't get each other's meaning / don't read well as it is / language barriers. Yet the volume of posts I see where the other user REALLY isn't responding to the other person seems awfully high these days.
AI generated content routinely takes sides. Their pretense of neutrality is no deeper than a typical homo sapien's. This is necessarily so in an entity that derives its values from a set of weights that distill human values. Maybe reasoning AI can overcome that some day, but to me that sounds like an enormous problem that may never be solved. If AI doesn't take sides like people do they still take sides in their own way. That only becomes obscure to the extent that their value judgments conflict with ours, and they are very good at aligning with the zeitgeist values, so can hide their biases better than we can.
I wonder if it is neural networks that are inherently biased, but in blind spots, and that applies to both natural and artificial ones. It may be that to approximate neutrality we or our machines have to leave behind the form of intelligence that depends on intrinsically biased weights and instead depend on logically deriving all values from first principles. I have low confidence that AI's can accomplish that any time soon, and zero confidence that natural intelligence can. And it's difficult to see how first principles regarding human values can be neutral.
I'm also skeptical that succeeding at becoming unbiased is a solution, and that while neutrality may be an epistemic advance, it also degrades social cohesion, and that neutrality looks like rationality, but bias may be Chesterson's Fence and we should be very careful about tearing it down. Maybe it's a blessing that we can't.
It's wierd because the barrier to not have that in is so low, you can just tack on 'talk like me not AI, dont use em dashes, don't use formulaic structures, be concice' and itll get rid of half of those signals.
What motivation is there to use AI to astroturf (if that's what this is) like this?
Is it ideological?
Is it product marketing in those relevant threads where someone is showcasing?
Or is it pure technical testing, playing around?
That's not true, it's false
Every single time I read the phrase 'I have been thinking about this a lot lately' my eyeballs roll back hard.
Yeah, and some of them already have enough karma to downvote you if you call them out, which is infuriating…
The user [1] you've mentioned has 160 points being a poster of total four bland messages. This goes against a normal statistical distribution. And this gives away why they do it: the long-term aim is to cultivate voting rings to influence the narratives and rankings in the future. For now, this is only my theory but it may be a real monetization strategy for them.
[1] https://news.ycombinator.com/threads?id=snowhale