A CASIO MX-10 except completely different. Using a katakana in-order layout and what might be function key abuse.
Edit: On the old CASIO MSX machines it appears the arrow pad is physically wired to the joystick port, and there are other arrow keys in an awkward position which are actual keyboard arrow keys. I omitted the onboard joy here as I'd prefer to use an external one anyways.
Happy International Asexuality Day, from VGAPride!
It's International Asexuality Day! :heart_ace:
Grey-asexual/demisexual here. (The short version of what that means: "Probably not, and probably not with you." đ)
my new burger restaurant concept is inspired by modern software. the options for mayo are "yes" and "maybe later", and if you pick maybe later, the chef stands at your table with a squeezy bottle, threatening to add mayo to your burger when you least expect it
@jwcph
Ironically enough, medical diagnosis was one of the first big applications of big AI. Anyone remember Watson AI and the computer that played on Jeopardy? Pattern marching on carefully trained data produced answers that were sound and could be curated by trained doctors. Note that someone that could understand and judge the result in my statement? It didn't make the bank IBM hoped for trust and privacy issues. Maybe doctors weren't happy with the idea of a tool that could replace them?
Generating and creating content from an indiscriminately trained AI isn't the same thing as a system like Watson. Because these systems mimics human creativity, people get suckered into thinking the results are the same as a human. They aren't. It's pattern matching and the AI judging the probability that the next word is the right word/meaning based on trained data. It's not understanding. Not even close. Alone, it can generate probable answers, but it takes a trained human to determine what's crap. Especially true if the answer is obscureâis it something good nobody thought of, or simply a technobabble hallucination?
#theComingLaborApocalypse #ai #generativeAI #chatGpt #WritingCommunity #WritersOfMastodon
/Cinny
stop doing frontend navigation
âNavigating to your website makes me unable to go forward in navigationâ statements dreamed up by the utterly deranged
@KayOhtie Really into vore too, if all the hostile takeovers are any indication. ^^()
"What it means is that there is no supply chain here. Because there is no supplier. I am not providing you something that you bought from me. There is no relationship. I put something online because I wanted to. The fact you made your product depend on it is your responsibility. Not mine. Not the one of the providers. We provide libraries. We do not supply them. You cannot apply rules to me. [âŠ] So all your Software Supply Chain ideas? You are not buying from a supplier, you are a raccoon digging through dumpsters for free code. So I would advise you to put these rules in the same dumpster."
đ„đ„đ„
I think the #XZ incident has taught us that we all need to decompress 
i see the compostable bluesky moderation works as designed
So, uh, if you live in Arizona and enjoy having privacy about what you jerk it to, you should *really* get in touch with your local representative. A Porn ID law is about to pass which will directly hit e621 which operates out of Arizona.

I guess the takeaway from the xz backdoor situation is:
If youâre an open-source project maintainer, and somebody starts getting on your case for not doing enough free work for them, you reply âbig Jia Tan energy thereâ and then block them forever.
Any experienced C developers among my followers? #BoostsWelcome.
Expat, arguably the world's most popular #XML parser, is understaffed and without funding. As #xz has shown, situations like this are dangerous.
Last month, maintainer Sebastian Pipping put up a plea for help at https://github.com/libexpat/libexpat/blob/R_2_6_2/expat/Changes
(I would help myself, but my C skills barely surpass "Hello, World".)
Found via @timbray - https://cosocial.ca/@timbray/112203547801373427
#libexpat
#SoftwareSupplyChainSecurity #OpenSource #OpenSourceMaintainer
#C
That's right. It's sort of the core issue in educating people about LLMs. They don't "sometimes hallucinate". They always hallucinate. By design.
But I also think we should graduate from saying they "just" make things up. They have a sophisticated inner model that means they're more likely to hallucinate towards things that seem correct when read by humans. And studying how they are able to do that is actually interesting.
https://mastodon.social/@GeePawHill/112203183163246574