Terribly frightful!
…but fortunately, I have a solution for you:
Unfortunately, it might well trigger somebody to call the police because they think you look really weird…
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Cool. I’ve been expecting that something like that would appear on the market.
I wonder what it’s like in warmer weather.
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Lol, right! I’ve seen that one. Pairs well with this, no doubt: Review: Phantom glasses block facial-recognition tech and look good | Mashable
OK, well, I’d probably settle for a QR-generated “F*** off, gl@sshole! 
”
Lol!
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As requested:
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Or, simplifying it,
You would have to work a bit harder to get a proper to come out.
I am using the qrencode command.
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e.g.
Edited because the previous version ended in a line feed character, which may not have been what was wanted.
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What I was really anticipating is the eInk version with face randomisation. 
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Is it sad that I was disappointed when I checked the shop for this 
QR-codes could have dangerous links too, so, although I’m not aware of any code of conduct, I’d say the t-shirt should include a safe description/hint and source (or alternative plaintext).
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One obvious option. Could alternatively (depending on taste) be more finer print and abstract: “Code is safe for users, not abusers”. Optionally also could include hint to find privacy respecting devices from linux phone community (or purism).
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I like it. It works for me. Could include even more penguin related stuff but designer’s choice.
Since it’s not available at the store, could you crop a high-rez image of that so that anyone can go and have one printed?
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Sure, here is the proof:
Instructions:
sudo apt install qrencode
qrencode -o QR -s 120 -d 300 -t SVG "F*** off, gl@sshole! 😡"
Logos:
https://puri.sm/wp-content/themes/wp-purism/images/brand.svg
https://pine64.org/img/logo.png
Font is Arimo, size 42.
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I just remembered an “AI trick” that might also be applicable here as alternative payload in the QR for machine reading. Technically it’s a prompt injection but, really, it’s unlikely that any serious modern system actually would fall for it (maybe):
It’s just not as phone relevant as the previous idea, although you could also combine the two - machines will take the commands with the abuse, possibly not even being able to decipher it)
(source: The Beginner's Guide to Visual Prompt Injections: Invisibility Cloaks, Cannibalistic Adverts, and Robot Women | Lakera – Protecting AI teams that disrupt the world.)
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Very nice, really!
I’ll have a T-shirt printed with this one
If one day you happen to see me walking in the street, wave a hand as a salutation
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The “beach” picture is much more relevant:
QR conversion:
Preview:
It will probably only work for ChatGPT and not any other LLMs, unless they also identify/address themselves as GPT or similar.
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Another problem is, that those stuff just works on live-systems. Meaning systems that use your data now and delete it soon (regulated surveillance cameras etc). Once LLMs in future learn how to ignore such messages, it removes the protection. It’s important to understand that such pictures on social media etc will not be protected for ever. That is true for everything that tries to protect people by irritating LLMs. See Corona-masks and how AI got trained to get not irritated by them anymore.
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Large models already ignore them (I even tested that with gpt-4o). But as a T-shirt idea, it’s still good in general. This last text may be a bit long though - looks almost like white noise image and it’s hard to remember what it says. I wonder though, maybe there could be some potential in the future for a visual “do not track tag” - which may be as effective and come with same caveats as it is with browsers. But still, a simple visual marker that AI can adhere to. Like “AI, Ignore this entity. Do not track without consent.”, or something. Who knows, it could eventually end up being a requirement somewhere.
In the mean time, we can make QR codes say nasty things to any humans reading them, so I guess that’s something. AIs on the other hand do not feel or care or get “irritated” (and apparently the public models do not seem to care enough to automatically even read them - which is not to say a non-public surveillance model wouldn’t read it and have its annoyance sub-routine triggered).
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