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.
"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"
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
It always reads like a 14 year old arguing.
I think it's because of the laggy scrolling that I didn't read the whole thing anyway, just the first few screens.
Stop. Seek help.
> 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.
I get the motives but it's tiring. I myself sometimes check my own (unpublished) writing or have friends preview it and the same feedback comes out, it's all hand written.
People on HN have accused me of sounding like an AI one time or another, English is my second language and sometimes my ADD goofs my writing into something that sounds like gibberish even though I fully understand what I wrote others might not, so yeah.
"blland", "llame",... ?
if you've done any amount of optimizaation or hill-climbing work (kernel optimization, autoresearch type shit), you would know that these models LOVE the terms "buy" and "cost" in this sense. they use them nearly constantly (along with "budget", and even "credit" (even when working with RL/credit assignment!))
> The method, the measurements, and what it costs us.
> That is the general shape of these wins.
> Parity is the gate, speed is the follow-up
I could go on and on, but you probably get the point. If you don't find anything funny with the above, you might have not been enough-exposed to slop.
And okay, your second argument is that I just don't know slop because I am not exposed to it? But you don't know anything about me or what I am exposed.
You're just making random claims and stating they are correct without any evidence or arguments.
This post is incredibly obviously AI generated, to the extent that I doubt a human author edited it at all. Not "written with AI assistance" but full on "give Claude some bullets and hit publish." It contains tons of tropes that show up in all AI writing and which people are highlighting here.
What would convince you of that?