▽ some dragns

not a morning dragon(s)

brrrt? are you okay? you were mumbling something in your sleep about "money" and "capitalism"! i dont know what those are, but its time for another nice day of being a yoshi, yossi!

sometimes you just wnna be a 2 headed dragon in a nice dress

new dragn emotion just dropped :dragnpleading:

check out this YCH commission i got! would fit well in a tarot deck perhaps :dragntea:

🎨 @morsylvia.bsky.social

ALL THE DISCWORLD BOOKS ON SALE FOR $25 THIS IS NOT A DRILL https://www.humblebundle.com/books/terry-pratchetts-discworld-harpercollins-encore-2026-books

realized i was spending too much time defending a stranger and not enough time trying to change things, so

fluxer's contributor guidelines currently endorse the use of LLMs in contributions. i created an issue where i walk through some arguments for why they shouldn't: https://github.com/fluxerapp/fluxer/issues/435

if we want things to change, we sometimes have to do the hard work of convincing the people running them that they should. fluxer isn't run by a faceless corporation, it's one person, and people can be swayed by reasonable discussion.

if you want to contribute any additional sources to the claims i made in the issue, or provide additional technical, philosophical, or social arguments as to why it's a bad idea to accept LLM contributions, i endorse your contributions to that issue.

but, i'd ask folks to please not reply on that issue with generalizing statements like "everyone who uses LLM tools are lazy and incompetent" even if thats something you privately think -- i'm trying to argue this point in good faith that they are a reasonable person who can listen to evidence and consider the viewpoint.

10/10 no notes

https://www.youraislopbores.me/

anyone in the vancouver area got a good source of mail-order matcha tea, that isn't amazon?

anthropic has proudly announced[1] that their latest model is capable of burning down basically everything by automating the identification of significant vulnerabilities in open source code. and that you should pay them to use their llm to find and fix vulnerabilities first

i'm a programmer, not a computer security expert. the vulnerabilities discussed in the blog post seem significant, but it's not clear to me how serious they are and how often software like this deals with such bugs. i'm also not sure how different this is in practice from fuzz testing. anyone in infosec able to weigh in? how big of a deal is this?

[1] https://red.anthropic.com/2026/mythos-preview/

1) when you close your eyes, can you visually imagine objects? e.g. picturing an apple with details like color, texture, shape, lighting, etc

2) when you close your eyes, can you visually imagine the faces of people you know very well? e.g. recalling details of the face of a spouse or family member, what they look like when making different facial expressions, etc. if possible try to separate this from recognizing them by non-facial features such as hair or accessories

friend sent me this image which has sniped me directly in the linguistics autism

its a map by reddit user topherette posted 6 years ago on r/mapporn[1]. theyve taken chinese place name etymologies and roughly transliterated them to old english / germanic equivalents (with some exceptions for, i guess, flavor?)

which is a fun idea, if a bit imperalist. but the baffling thing is how they've done some of these. like how in the hell does "taiwan", which translates as "platform bay", end up as "folkstow"

based on their comments i don't think they actually speak any chinese language, they were just using a dictionary and internet etymologies. so my pale ass doing the same thing is probably not going to be able to do much better. but what the hell

[1] https://www.reddit.com/r/MapPorn/comments/hcjz1t/oc_fully_anglicised_china_based_off_actual/