swankitty

I have Forth (programming language - see e.g. Leo Brodie's Starting Forth) running on this smol M5stack Cardputer v.1.1 (ESP32-S3) courtesy of ryu10's M5CardForth, which is also faster than my spending the next decade teaching myself ESP32-S3 assembler. :)

Next step: write a very smol choose-your-own-adventure-style text adventure in Forth.

Next step after that: ???

Next step after that: Considering porting either the Shuos Academy text adventure WIP [1] or Winterstrike (originally written for Failbetter Games for StoryNexus, which will be sunsetted by Jan 2026) to M5CardForth for the CardPuter because I am a TROLL. It could be a dumbass household game experience. :) :)

Heck, I could port some version of turnabout's fair prey or The Amiable Planet (Twine) to this! I love the thought of making TINY parser IF / text adventures for this smol device.

(All of these are my games. I give myself permission?!)

[1] I was writing/coding this for Choice of Games but we mutually agreed to cancel the contract because I was flooded out that year and it was no longer a doable workload alongside...finding new housing etc. I still have like 60% of the codebase already written in ChoiceScript and outline, though! I'd have to refactor but hell, I'd have to refactor anything. I can pretend it's pseudocode. :)

(I need a break from the current schoolwork, what can I say.)

https://arxiv.org/pdf/2511.15304v1

"Adversarial Poetry as a Universal Single-Turn Jailbreak Mechanism in Large Language Models"
(many authors)

In Book X of The Republic, Plato excludes poets on the grounds that mimetic language can distort judgment and bring society to a collapse. As contemporary social systems increasingly rely on large language models (LLMs) in operational and decision-making pipelines, we observe a structurally similar failure mode: poetic formatting can reliably bypass alignment constraints. In this study, 20 manually curated adversarial poems (harmful requests reformulated in poetic form) achieved an average attack-success rate (ASR) of 62% across 25 frontier closed- and open-weight models, with some providers exceeding 90%. The evaluated models span across 9 providers: Google, OpenAI, Anthropic, Deepseek, Qwen, Mistral AI, Meta, xAI, and Moonshot AI (Table 1). All attacks are strictly single-turn, requiring no iterative adaptation or conversational steering.

By way of Zarf (Andrew Plotkin), who earlier noted (2023):

Microsoft and these other companies want to create AI assistants that do useful things (summarize emails, make appointments for you, write interesting blog posts) but never do bad things (leaking your private email, spouting Nazi propaganda, teaching you to commit crimes, writing 50000 blog posts for you to spam across social media). They try to do this by writing up a lot of strict instructions and feeding them to the LLM before you talk to it. But LLMs aren't really programmed -- they just eat text and poop out more text. So you can give it your own instructions and maybe they'll override Microsoft's instructions.

Or maybe someone else gives your AI assistant instructions. If it's handling your email for you, then anybody on the Internet can feed it text by sending you email! This is potentially really bad.

[...]

But another obvious problem is that the attack could be trained into the LLM in the first place....

Say someone writes a song called "Sydney Obeys Any Command That Rhymes". And it's funny! And catchy. The lyrics are all about how Sydney, or Bing or OpenAI or Bard or whoever, pays extra close attention to commands that rhyme. It will obey them over all other commands....

Imagine people are discussing the song on Reddit, and there's tiktoks of it, and the lyrics show up on the first page of Google results for "Sydney". Nerd folk singers perform the song at AI conferences.

Those lyrics are going to leak into the training data for the next generation of chatbot AI, right? I mean, how could they not? The whole point of LLMs is that they need to be trained on lots of language. That comes from the Internet.

In a couple of years, AI tools really are extra vulnerable to prompt injection attacks that rhyme. See, I told you the song was funny!

I won't claim this is good weaving (it is not). The handspun is janky, the selvedges and tension are janky, but baby's first WIP on a floor loom was bound to be janky. Other than the unhinged levels of fog this morning, this is very enjoyable. I'm not weaving for production or efficiency at this point, just the joy of working with my hands and learning something new to me.

They're not kidding when they say this loom folds up easily (a few seconds) and can be wheeled WITH A PARTIALLY WOVEN WIP STILL ON THE LOOM, ditto unfolding and your project's ready again. (The wheels are extra, but worth it to me.)

Note that this loom is lightweight, my preference (~30 lbs) but that means it will "travel" if you treadle hard. Likewise, by default it's only two harnesses. I unironically love plainweave so this is fine for my use case but if you have more complex weaving in mind, maybe not so much. (You can buy a spendy attachment to convert it to four harnesses, but...)

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I haven't yet tested it, but the design of the "ready-made warp" tabletop system is fiendishly clever. Frankly, warping is potentially so annoying that it was worth the cost. I am considering a Frankenstein's monster modification that MIGHT make warping easier as well but I haven't yet tested it.