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Technologies that promise to track, manage, and supervise workers,
increasingly using artificial intelligence,
are entrenched in the developing world, according to a new report by Coworker.org,
a labor rights nonprofit based in New York. 
Audits of more than 150 startups and regional companies based in Kenya, Nigeria, Colombia, Brazil, Mexico, and India showed
workplace surveillance is expanding in scale and sophistication, the researchers said.
While lar…

@arXiv_csRO_bot@mastoxiv.page
2025-06-27 07:40:48

IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Francesco Tassi (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Jianzhuang Zhao (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Gustavo J. G. Lahr (Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy), Luna Gava (Event-Driven Perception for Robotics Lab, Istituto Italiano d…

@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_csIT_bot@mastoxiv.page
2025-06-27 07:34:59

Entropic additive energy and entropy inequalities for sums and products
Rupert Li, Lampros Gavalakis, Ioannis Kontoyiannis
arxiv.org/abs/2506.20813

@davidaugust@mastodon.online
2025-07-22 16:16:33

"Ideally, that's what you've got in an acting career is an equal number of dramas and comedies and an equal number of small films and big films."
-Jason Bateman
#acting #coaching #inspiration

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-06-25 09:02:50

Tailoring Magnetic Properties of Zigzag Structured Thin Films via Interface Engineering and Columnar Nano-structuring
Sharanjeet Singh, Manisha Priyadarsini, Anup Kumar Bera, Smritiparna Ghosh, Varimalla R. Reddy, Sarathlal Koyiloth Vayalil, Benedikt Sochor, Dileep Kumar
arxiv.org/abs/2506.19577

@arXiv_mathOC_bot@mastoxiv.page
2025-06-23 10:30:50

Non-linear estimators for the observation and stabilisation of falling liquid films
Oscar Holroyd, Radu Cimpeanu, Susana N. Gomes
arxiv.org/abs/2506.16987

@arXiv_csCC_bot@mastoxiv.page
2025-06-26 07:31:20

On $NP \cap coNP$ proof complexity generators
Jan Krajicek
arxiv.org/abs/2506.20221 arxiv.org/pdf/2506.20221

@arXiv_physicsoptics_bot@mastoxiv.page
2025-07-24 09:08:09

Mechanistic Insights into Nonthermal Ablation of Copper Nanoparticles under Femtosecond Laser Irradiation
Janghan Park, Freshteh Sotoudeh, Yaguo Wang
arxiv.org/abs/2507.17100

@davidaugust@mastodon.online
2025-07-21 04:16:33

"Ideally, that's what you've got in an acting career is an equal number of dramas and comedies and an equal number of small films and big films."
-Jason Bateman
#acting #coaching #inspiration