Comment by lelanthran
15 hours ago
> Should have started with writing your own blog posts.
While the page looks vibe-coded[1], the content itself does not have any AI tells. What are the tells you are seeing?
[1] Too many sites I find on HN frontpage these days slow my PC to a crawl. I assume they are all using the same autogenerated HTML, Javascrip and CSS to make animated backgrounds :-( On this specific site scrolling is laggy.
Just from the subtitle, you can already tell it's likely AI-generated. Maybe you're lucky enough not to be exposed to claude/codex output your whole working day.
This has many of the writing tropes of Claude. I'd bet money that much of it is ai-generated, if not all of it. This paragraph alone feels almost entirely Claude's self-congratulatory style of writing:
> We are ahead at all six points, and five of those six are ties. Our run-to-run noise band is 0.5%, and concurrency 2 through 32 land between 0.7% and 1.7%, so the honest reading is that only the single-stream case (4.5%) is clearly outside noise. Output is token-for-token identical to vLLM at every point on that curve. Peak host memory is 24.88 GiB against 28.18 GiB.
Opened this page in Firefox and my CPU fan started spinning like crazy. All this for a background that just renders the whole page unreadable.
Stop. Seek help.
I stopped reading almost immediately. The stylistic choices in the writing just felt like LLM to me. Examples:
"depth estimation that beats PyTorch on CPU in half the memory" — "…beats X in Y…"
"Most LocalAI backends wrap somebody else’s engine, and that is the right default." — "…and that is the right"
"MLX and the rest are maintained by people who are better at those models than we are" — "better at those models than we are" — it's this thing that LLMs do where they are kind of weirdly confident but overly deferential
"This post is about what those ports buy" — "…buy" used in this context
"Same model, 1.31x the speed" — "Same X, something Y" — it's this overconfident yet deferential writing style
The further I read, the more tells there are. I find it incredibly tiring to read LLM generated prose and I'm not sure why. Is it because I'm aware it's not human written and have an unconscious bias? Or is it because the style is just full-on, "Not X but Y. Those performance gains are bought, not earned. This stops, that starts. Read on, or don't, that's the follow-up"
"Parity is what makes the replacement a drop-in rather than a migration."
It always reads like a 14 year old arguing.
For me, it's that AI writing is always trying to be clever for every single point it makes (and constantly uses the same language patterns when doing so).
Its like listening to an insufferable clever dick, who is not as bright as they think they are. You would also find it incredibly irritating if a human talked like that
Also, “honest reading” — without any context explaining why one would contemplate a dishonest reading.
In "biometrics that match insightface bit for bit" - the "bit for bit" thing is also something I have encountered more than once.
Now that you point it out, there are quite a few tells, still not as many as most of the slop that gets posted here.
I think it's because of the laggy scrolling that I didn't read the whole thing anyway, just the first few screens.
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Why are you using an em-dash though?
I've always used em-dash. I got familiar with the hotkeys when I started using Mac OS X in 2002. Option+Hyphen for en-dash, Option+Shift+Hyphen for em-dash. It's unfortunate that it's an LLM tell. I'm glad the LLMs haven't subsumed proper ellipses yet…
Use lynx, links or netsurf. Or vibe code your noscript/basic HTML web engine?
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