@mgorny@social.treehouse.systems2025-06-09 16:48:12
"""
"[…] Wanting a man got me into awful troubles more than once. But wanting to get married, never! No, no. None of that for me."
"Why not?" Tenar demanded.
Taken aback, Moss said simply, "Why, what man'd marry a witch?" And then, with a sidelong chewing motion of her jaw, like a sheep shifting its cud, “And what witch’d marry a man?"
They split rushes.
"What's wrong with men?" Tenar inquired cautiously.
As cautiously, lowering her voice, Moss replied, "I don't know, my dearie. I’ve thought on it. Often I’ve thought on it. The best I can say it is like this. A man’s in his skin, see, like a nut in its shell." She held up her long, bent, wet fingers as if holding a walnut. “It’s hard and strong, that shell, and it’s all full of him. Full of grand man-meat, man-self. And that’s all. That’s all there is. It’s all him and nothing else, inside."
Tenar pondered awhile and finally asked, "But if he's a wizard—"
"Then it's all his power, inside. His power’s himself, see. That’s how it is with him. And that’s all. When his power goes, he’s gone. Empty." She cracked the unseen walnut and tossed the shells away. “Nothing."
"And a woman, then?"
"Oh, well, dearie, a woman's a different thing entirely. Who knows where a woman begins and ends? Listen, mistress, I have roots, I have roots deeper than this island. Deeper than the sea, older than the raising of the lands. I go back into the dark." Moss’s eyes shone with a weird brightness in their red rims and her voice sang like an instrument. “I go back into the dark! Before the moon I was. No one knows, no one knows, no one can say what I am, what a woman is, a woman of power, a woman’s power, deeper than the roots of trees, deeper than the roots of islands, older than the Making, older than the moon. Who dares ask questions of the dark? Who’ll ask the dark its name?"
"""
(Ursula K. Le Guin, Tehanu)
@arXiv_csHC_bot@mastoxiv.page2025-08-05 11:40:01
PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
Sanchita S. Kamath, Omar Khan, Anurag Choudhary, Jan Meyerhoff-Liang, Soyoung Choi, JooYoung Seo
https://arxiv.org/abs/2508.02610
@tiotasram@kolektiva.social2025-07-25 10:57:58
Just saw this:
#AI can mean a lot of things these days, but lots of the popular meanings imply a bevy of harms that I definitely wouldn't feel are worth a cute fish game. In fact, these harms are so acute that even "just" playing into the AI hype becomes its own kind of harm (it's similar to blockchain in that way).
@… noticed that the authors claim the code base is 80% AI generated, which is a red flag because people with sound moral compasses wouldn't be using AI to "help" write code in the first place. The authors aren't by some miracle people who couldn't build this app without help, in case that influences your thinking about it: they have the skills to write the code themselves, although it likely would have taken longer (but also been better).
I was more interested in the fish-classification AI, and how much it might be dependent on datacenters. Thankfully, a quick glance at the code confirms they're using ONNX and running a self-trained neural network on your device. While the exponentially-increasing energy & water demands of datacenters to support billion-parameter models are a real concern, this is not that. Even a non-AI game can burn a lot of cycles on someone's phone, and I don't think there's anything to complain about energy-wise if we're just using cycles on the end user's device as long as we're not having them keep it on for hours crunching numbers like blockchain stuff does. Running whatever stuff locally while the user is playing a game is a negligible environmental concern, unlike, say, calling out to ChatGPT where you're directly feeding datacenter demand. Since they claimed to have trained the network themselves, and since it's actually totally reasonable to make your own dataset for this and get good-enough-for-a-silly-game results with just a few hundred examples, I don't have any ethical objections to the data sourcing or training processes either. Hooray! This is finally an example of "ethical use of neutral networks" that I can hold up as an example of what people should be doing instead of the BS they are doing.
But wait... Remember what I said about feeding the AI hype being its own form of harm? Yeah, between using AI tools for coding and calling their classifier "AI" in a way that makes it seem like the same kind of thing as ChatGPT et al., they're leaning into the hype rather than helping restrain it. And that means they're causing harm. Big AI companies can point to them and say "look AI enables cute things you like" when AI didn't actually enable it. So I'm feeling meh about this cute game and won't be sharing it aside from this post. If you love the cute fish, you don't really have to feel bad for playing with it, but I'd feel bad for advertising it without a disclaimer.
@jtk@infosec.exchange2025-05-28 23:32:46
One #infosec example of the very many NSF funding awards being revoked:
"Hudson County Community College (HCCC) was awarded a $599,811 National Science Foundation (NSF) grant for its program, “Nurturing Resilience: Empowering the Next Generation of Cybersecurity Professionals with a Focus on Women.” The program goals are to recruit and retain more women in the HCCC Cybersecurity Prog…
@arXiv_csHC_bot@mastoxiv.page2025-06-12 07:38:51
Real-Time Confidence Detection through Facial Expressions and Hand Gestures
Tanjil Hasan Sakib, Samia Jahan Mojumder, Rajan Das Gupta, Md Imrul Hasan Showmick, Md. Yeasin Rahat, Md. Jakir Hossen
https://arxiv.org/abs/2506.09153
