Posted by speerer 8 hours ago
Imagine having to return a t-shirt because that malfunction!
— I don't understand why are you returning this, was the size wrong or you didn't like it?
— No, there is a syntax error at line 37 that makes it impossible to run, and I'm concerned people on the street may think I promote unsafe bash scripting.
I reverse engineered it to a unobfuscated version a few years ago:
https://gist.github.com/olooney/a89db3932b089925b71b68d7e9f2...
He's done a ton of other great ASCII visualizations as well:
There's something else a lot stranger going on, though. It is a proper monospace font, but the typesetting on the shirt is not. There's some kerning going on (I noticed it especially in the 'Iy' pair), and also it appears that narrower characters such as 'i' take less horizontal space. If I had to guess, I would say that it was set with a tool such as "optical kerning" in InDesign.
We use monospace fonts for a reason, they stack in a grid nicely. But within the confines of that grid there is room to shift a character left or right a bit which may lead to a nicer to read monospace. (it is equally likely to lead to a hideous mess, every time a letter would shift left it would leave a larger space right)
https://github.com/githubnext/monaspace/blob/main/docs/Textu...
It's the main reason I use monaspace as a font.
And: doesn't this result in text that "jumps around" as you type?
It's a fun subtle adaptation to keep close to the typewriter-like experience of the app.
https://archive.org/details/1983-01-compute-magazine/page/96...
On a Samsung S24U I held down the "circle to search" homescreen button which brings up the AI tools interface (I don't know what it's officially called), held down on the text and copied the whole thing in one shot.
It took like 2 seconds.
I think though it could likely be easily OCR'd if you give the image to any decent agentic harness with a good vision model, e.g. newest Claude/GPT ones, and tell them to split the image per lines, and then just OCR each line individually.
I wonder if the script itself was written by an LLM before obfuscation? There seem to be a lot of comments in it, but in this case it's still ok :)
It's not that difficult, our industrial OCR model read it correctly on its first attempt with default parameters. The characters are easily separable, there is no structured background (think expiration dates on yogurt aluminum lids) that confuses the reader, there is no almost-text-like texture anywhere that would clutter the result. The font is also nice and standard.
The congratulations text is both in English and Japanese. Contains a single heart emoji.
There was an intention to have a cyan to orange gradient, but the range starts in an ANSI block, ends halfway through the 256 color block and 256 terminal colors are not arranged like a gradient at all.
There's no sleep at the end of the loop where I feel like an LLM would add that defensively.
In my mind an AI would do something the most popular way even when that's not appropriate.
A human might do things in an unpopular way even when that's not appropriate.
Can't remember his name now, there's been so many distractions...
I wonder what it's doing under the hood to get such good performance?
Looked it up, you put mouse over text, then just select and copy it - very cool!
https://support.apple.com/en-gb/guide/safari/ibrw20183ad7/ma...
On meetings I will often take a screenshot of the URL someone is presenting. I’m then able to just open the image and click the URL in the image.
Preview has pretty good background removal.
Notes will transcribe audio from audio files.
The seamless cloud sync between devices is much appreciated too.
From the prototype shown here [0], and the way they talk about their process, I sincerely doubt it. Especially as they mention trying to make it hard for AI to handle the output.
The AI not handling the output relates to the final base64 output on the T-shirt (which other comments in this thread mention manually keying in or TFA discusses in the context of OCR). So, that is just not relevant to the question.
What made me start to wonder, personally, was that the output seems identical if you use "♥PEACE♥FOR♥ALL" instead of the version with internal repeats. IF there is any point to that "manual expansion of the cycles", IMO that deserves a comment much more so than "# Calculate length of text; text_length=".
Also, that `echo -n ...` followed by `echo ""` instead of just plain `echo` in the first place seems like the kind of copy-pasta code LLMs generate. Then again, regular devs also write pretty bad copy-pasta code.
There is also this the weirdly "broken down" calculation with 3 `bc` invocations not 1 as if it was translated from a language with more arithmetic/special function power than bash.
There is also the color scale stuff done in the loop instead of outside (except the one color=$(..)) which seems very unnatural and also very like machine translation.
Also, at least for me, on my bash-5.3.15(1), `char="${text:t % text_length:1}"` does not work to slice out the multi-byte UTF8 heart symbols, but it sure does look like the kind of thing an LLM would do translating from a python3 script (such as something like https://news.ycombinator.com/item?id=48830669) into bash.
Another thing is, as others here have observed, there is nothing "gradual" about the xterm-256 color cube. So, "gradient" is a misnomer and exactly the kind of weird things LLMs do when they cobble text together.
Finally, all the tput stuff the script does instead of just "print x spaces" really smells like a human description of the side scroll in the video game graphic he shows inspired him somehow LLM-corrupted/complexified into the vertical scroll terminals do.
None of this is conclusive, but the video mentions 2023..2025 as when he did it and given that he was a designer and his concerns more visual than code-oriented, I'd have to say I disagree with your sincere doubt and I do strongly suspect the decoded script was very likely LLM-circa2024-generated, possibly with light post-edits by hand.
All the smells you pointed out, just look like a Python dev approaching bash without fully understanding it.
also, referring to Linux as "the language of the internet" when bash isn't particularly suited for internet tasks also smell like "excited windows Python dev"...
Anyway, he seems like a very nice fellow and I wish him and almost all T-shirt designers well. That bash script just gave me a lot of pause. (And even that seems possibly downstream of him being nice and doing it himself to spare his team from what he called a "FrankenProject".)
{ Also, it was my own Py version which I mostly did in case anyone wanted to actually run the thing after such interest was expressed on this thread. :-) }
I already said regular devs and LLMs can both gen copy-pasta. That said, being "mostly" a Python dev, asking some LLM to translate to bash for him seems even more likely to me. Only he or those close to him knows for sure. You & I cannot settle it here conclusively (as also said).
I also noted from the video that the ♥s (hearts) worked on whatever version of bash he tested with though it failed for me (which is why I wrote that Python). And his terminal title bar is switching between `tput` and `bc` and such meaning that what he was demoing was not some Python script. ¯\_(ツ)_/¯
EDIT: Ah..another resolution of the hearts is to not run in an LC_ALL=C environment. Oops! `LC_ALL=en_US.UTF-8 bash ..` fixed it. Oh well, I think the Python script is nicer in almost every way. E.g., you could |head -n60 and send it to a line printer/dot matrix reminiscent of the 1980s computers he shows in the video, although your printer driver would have to strip the color escapes with a `sed` or maybe https://github.com/c-blake/bu/blob/main/noc.nim. ;-)
I seem to recall seeing an Akamai-branded base64'd shell script on a white shirt pre-2021(?), so unless they've changed the code since then, I doubt it...
My code usually clocs at 50/50 (or thereabouts)[0]. Has, since my very first real engineering project (in 1987)[1]. I discuss in detail, here[2].
But one reason that I like LLMs, is that they help me to write even more documentation. I have found that I can instruct an LLM to revise my documentation, and make it even more effective.
[0] https://github.com/ChrisMarshallNY (My GH profile. Pretty much everything there, is like that -has, since long before LLMs were a broken rubber on the drug store shelf).
[1] https://littlegreenviper.com/wp-content/uploads/2022/07/TF30... (Downloads a PDF)
https://github.com/RiftValleySoftware/RVS_Spinner/blob/d44ee...
An LLM would have commented `// Create temporary UI view.`
Completely redundant comments like this are a classic hallmark of LLMs:
# Set frequency scaling factor
freq=0.2
Also from my brief look at one file it looks like you have 50% comments because you have a gazillion comment separator lines.
I worked for a Japanese company that accreted comments.
Yeah, lots of whitespace.
Especially in a case like this, I would definitely write a lot of comments to aid in understanding, thus increasing trust so people would try it out and tinker with it.
The comments can be more cute/awe inspiring for people who aren't as familiar with bash but like solving puzzles as well.
sleep 0.1
Slowing it to a 10hz refresh makes it look great.
IDK what the author was using but I feel like he could have shared how his OCR attempt went, but I am thinking he tried some naive OCR tools.
All in, you should have a non-corrupted string in 10-15 min.
It’s not the final word, since automation has other benefits: documenting the procedure’s steps, reducing human errors, increasing consistency, etc.
[0] https://github.com/GL-Kageyama/UNIQLO_Akamai_T-shirt_Code