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@memeorandum@universeodon.com
2025-06-26 17:50:42

Exclusive: White House wants deep cut in US funding for war crimes investigations, sources say (Reuters)
reuters.com/legal/government/w
memeorandum.com/250626/p91#a25

@gray17@mastodon.social
2025-05-29 00:43:46

I'm baffled that this guy is a respected analyst. Yeah, an infinite number of AI agents will spend their money on content from human creators, making those humans infinitely rich. I see no flaws in this model.

a clipping from a blog post:

First, the protocol layer should have a mechanism for payments via digital currency, i.e. stablecoins. Second, AI providers like ChatGPT should build an auction mechanism that pays out content sources based on the frequency with which they are cited in AI answers. The result would be a new universe of creators who will be incentivized to produce high quality content that is more likely to be useful to AI, competing in a marketplace a la the open web; indeed, this…
@arXiv_quantph_bot@mastoxiv.page
2025-07-28 09:58:11

A Clockwork Quantum: Symmetry, Noise, and the Emergence of Quantum Order
Eric R. Bittner, Bhavay Tyagi
arxiv.org/abs/2507.19348 arxiv.org/p…

@servelan@newsie.social
2025-07-22 01:05:05

The 'criminal alien' slander: A recent study of 150 years of US incarceration data found immigrant men were far less likely to be sent to prison than men born in the U.S. A 2020 study compared crime rates of undocumented immigrants vs. U.S.-born citizens: U.S.-born “are over 2x more likely to be arrested for violent crimes, 2.5x more likely to be arrested for drug crimes, and over 4x more likely to be arrested for property crimes.”
‘We Voted for Retribution’
aol.com/voted-retribution-2000

@arXiv_mathNA_bot@mastoxiv.page
2025-07-28 09:20:11

A non-iterative domain decomposition time integrator for linear wave equations
Tim Buchholz, Marlis Hochbruck
arxiv.org/abs/2507.19379 arxi…

@tiotasram@kolektiva.social
2025-07-25 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.

@arXiv_astrophSR_bot@mastoxiv.page
2025-07-24 09:46:59

Mapping ground-based coronagraphic images to Helioprojective-Cartesian coordinate system by image registration
Feiyang Sha, Yu Liu, Lidong Xia, Yao Chen, Qing Zhou, Yangrui Chen, Chuyu Zhong, Xuefei Zhang, Tengfei Song, Mingzhe Sun, Haitang Li, Jacob Oloketuyi, Qiang Liu, Xinjian Wang, Qiwang Luo, Xiaobo Li
arxiv.org/abs/2507.17670…

@elduvelle@neuromatch.social
2025-07-24 09:29:53

"Le Monde – S’indigner de l’anéantissement de Gaza ne suffit plus"
lemonde.fr/idees/article/2025/

@arXiv_astrophCO_bot@mastoxiv.page
2025-07-23 09:00:32

The THESAN project: environmental drivers of Local Group reionization
Yu Zhao (USC, Carnegie), Aaron Smith (UT Dallas), Rahul Kannan (York), Enrico Garaldi (IPMU), Hui Li (Tsinghua), Mark Vogelsberger (MIT), Andrew Benson (Carnegie), Lars Hernquist (Harvard)
arxiv.org/abs/2507.16245

@leftsidestory@mstdn.social
2025-06-23 01:41:18

Park Discovery II 🏞️
公园探险 II 🏞️
📷 Nikon FE
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️?
#filmphotography

**English:**
This scan from a black and white film negative shows an outdoor seating area, likely part of a park or recreational facility. The seating consists of several picnic tables, each adorned with Coca-Cola branding. The tables are arranged neatly on a paved surface, and each table is equipped with an umbrella providing shade. The area is surrounded by trees, creating a pleasant and shaded environment. The overall scene suggests a place where people can relax and enjoy a meal or a drink …
**English:**
This scan from a black and white film negative depicts an indoor bumper car arena. The scene is devoid of people, giving it a quiet and somewhat nostalgic atmosphere. Several bumper cars are scattered across the floor, each equipped with large rubber bumpers. The background features large windows that allow natural light to filter in, illuminating the space and casting shadows. Outside the windows, trees can be seen, suggesting that the arena is located in a park or a similar outdo…
**English:**
This scan from a black and white film negative captures a serene scene in what appears to be an amusement park. A small train is seen traveling on an elevated track, winding its way through a wooded area. The train is carrying several passengers, who seem to be enjoying the ride. The track is supported by a series of poles and is surrounded by lush trees, creating a sense of being enveloped by nature. The ground below the track appears to be slightly wet, possibly from a recent rai…
**English:**
This scan from a black and white film negative features a classic carousel situated in an outdoor setting, likely within an amusement park. The carousel is a two-tiered structure with ornate decorations and a canopy roof. Several people can be seen enjoying the ride, adding a sense of movement and joy to the scene. In the foreground, a person is seated on a bench under a large umbrella, while another person is walking nearby. The area is surrounded by trees, providing a natural bac…