Genius
Closed as not planned
so much brainrot they burned themselves on accident
For those wondering, yes, that was a real issue submitted. There are other issues, and they are great.
Owner does not plan on getting their brain to function properly
Pure gold
Privacy-First: No cameras required - uses WiFi signals for pose detection
That’s not how privacy works.
We won’t film you having sex, we will just know that you are having sex, at what time and whether if on the bed or on the kitchen counter. Oh and we can also map the positions you prefer but that is fine.
anyone gonna cop the $1500 hour session for agentic engineering
I’ll charge you some beer and a pizza. You can donate the rest $1480
I have a visceral “AI” sensor that triggers when I see these:
“Rust Implementation (v2)”
“Performance Benchmarks (Validated)”
Human beings don’t self-validate explicitly like that. AI loves doing it.
You generate code, there’s a bug, you ask for a fix, your AI of choice will always output with:
*** Fix build issue ***
*** End fix ***
and then call it “Version 2 (Validated)”.
Sometimes it’s more subtle, but you can feel it, it loves adding “confirmed”, “working”, “validated”.
My sensor is much simpler. If I see emoji in headings or bulleted lists, I assume it’s shit. It might be AI slop, or it might just be kids getting overexcited with the little pictures, but both deserve suspicion and scrutiny.
If a bunch of the emoji don’t even make sense it can get in the bin.
Ahhh idk, I saw a lot of genuine repos do emojis, at least for headings. Even before LLMs.
I like them 'cause with the right amount, it makes a README easier to parse when quickly scrolling over it.
My changelog generation tools output emojis because our lives are too short to not use 🚀
As an ancient husk of a person, it all looks crack-addled to me. I don’t really see how you can parse out headings from emoji because their usage isn’t consistent.
This comment is so true 🚀🚀🚀
💪
I like putting the little pictures in my readmes sometimes. In my biologically generated repositories. Please don’t discriminate against neat little pictures you can just put in text 🐑.
me too!
admittedly imo they are being overused now though
Your whimsy hurts me
This comment has been confirmed and validated by an actual human being 👍
“I’m confident in my solution.”
Alarm bells.
👉: mission acquired
👊: bugs squashed
👍: code validated
👏: congratulations on this exquisite piece of software
✍️: ready to do more!
I have a project with a bunch of compose files that define the services I self host. I “deploy” the project by sshing into my server and doing “git pull” which means I’m often making changes that don’t get tested before committing to source control. As a result I have long chains of commits like:
- refactor the sproingy widget
- refactor the sproingy widget v2
- refactor the sproingy widget working
- maybe the sproingy widget works this time?
- ok finally found the issue with refactor sproingy widget
- fix formatting of sproingy widget
And now I’m wondering if I’ve been an llm this whole time
No the AI would have called it fixed, “production-ready,” committed, and pushed after the first refactor.
Let me introduce you to Ansible
Why not just edit the YAML directly on the server via a command-line text editor or SSHFS and then push from there when it works?
Also the repo image
Fitting read for the throne, thanks
Forgot to put “make sure the project compiles” in his .md files. What an amateur.
No project legitimately gets that many stars while having so few issues open
It is true when the repo is of consequence. Repos with ~20K stars generally have ~1000 open issues. But I assume even if not bots, people starring this could be trigger happy from AI coding and star everything that is related to vibe coding.
All of YC got bamboozled by this slop.
My impostor syndrome suddenly vanished :)
I’m fairly certain that the account is run by a bot and every single repo and line of code and text (readme, comments, etc.) are LLM slop. It’s also probably part of a much larger bot network. Possibly an AI company experimenting with their latest slop-bots.
I am no programmer and understand almost nothing of the documentation and yet somehow I can tell it’s all bullshit.
It reads like a kid making up words in an attempt to sound smart mixed up with the description for a shady Amazon product.
I guess it’s reading comprehension. Utter bullshit reeks the same regardless of the field.
That’s absolutely awesome!
I’m gonna start referring to this as ‘smelling AI slop’
You got the sense to sniff it out, even without programming experience. And that’s a damn good sense to have these days 👍
I mean well before AI, it was pretty common that a GitHub repo wouldn’t compile.
Maybe it’s just me but most times I try to compile a software project from source, it’s gonna take a long time figuring out stuff not mentioned in the readme and I will probably give up in the end.
Throughput metrics
Phase Sanitization 67-85 Melem/s
😆
(Turns out it does exist! But it’s just a chemical https://en.wikipedia.org/wiki/Melem )
Everyone’s talking about the different things that give it away and here I am with “WiFi dense human pose…” wtf
You can track/identify people in range of a wifi router based on how the wifi signal is disrupted.
I believe that the original people claimed you could ID individual people using their approach, but I suspect that’s under ideal conditions and/or with some training against individual people.
Performance Benchmarks (Validated) yup, 100% totally validated. It’s like when you buy something thats wayy too cheap for what it should be off of Temu and it shows up with a QC and Validation card that they clearly just print on a large sheet and cut down that says QC OK
Oh the fancy ones are separate bits of paper. Mostly they print a qc check with a tick right onto the packaging
