Tootfinder

Nickel- and iron-rich clumps in planetary nebulae: New discoveries and emission-line diagnostics
K. Bouvis, S. Akras, H. Monteiro, L. Konstantinou, P. Boumis, J. Garc\'ia-Rojas, D. R. Gon\c{c}alves, I. Aleman, A. Monreal-Ibero, J. Cami
https://arxiv.org/abs/2507.05357

Nickel- and iron-rich clumps in planetary nebulae: New discoveries and emission-line diagnostics
Integral field spectroscopy (IFS) offers a distinct advantage for studying extended sources by enabling spatially resolved emission maps for several emission lines without the need for specific filters. This study conducts a detailed analysis of iron and nickel emission lines in 12 planetary nebulae (PNe) using integral field unit (IFU) data from MUSE to provide insights into their formation and evolution mechanisms. New diagnostic line ratios, combined with machine-learning algorithms, were us…

Fixed a recently reported, asan-caught UaF in ngscopeclient earlier today when loading session files containing a protocol analyzer.
Apparently the analyzer never called AddRef() / Release() on the filter and could thus outlive it.
Yet another reason why the planned refactoring of filter ownership to use std::shared_ptr's rather than manual hand refcounting can't come soon enough. Just need to ship v0.1 first...

Detecting and characterising the magnetic field of exoplanets
A. Strugarek, S. V. Berdyugina, V. Bourrier, J. A. Caballero, J. J. Chebly, R. Fares, A. Fludra, L. Fossati, A. Garc\'ia Mu\~noz, L. Gkouvelis, C. Gourv\`es, J. L. Grenfell, R. D. Kavanagh, K. G. Kislyakova, L. Lamy, A. F. Lanza, C. Moutou, D. Nandy, C. Neiner, A. Oklop\v{c}i\'c, A. Paul, V. R\'eville, D. Rodgers-Lee, E. L. Shkolnik, J. D. Turner, A. A. Vidotto, F. Yang, P. Zarka

Detecting and characterising the magnetic field of exoplanets
Magnetic fields play a crucial role in planetary evolution and habitability. While the intrinsic magnetic fields of solar system planets are relatively well understood, the magnetic properties of exoplanets remain largely unconstrained, despite their potential ubiquity. Detecting exoplanetary magnetic fields is essential to advancing our understanding of planetary habitability beyond the solar system. This paper focuses on two promising spectropolarimetric techniques for detecting magnetic fiel…

Filtración revela el plan de Palantir para ayudar al ICE a deportar personas https://www.404media.co/filtracion-revela-el-plan-de-palantir-para-ayudar-al-ice-a-deportar-personas/

#Blakes7 Series A, Episode 07 - Mission To Destiny
GROVANE: Well, I didn't see Mandrian die either, but I know he's dead.
AVON: I've just spent the last ten minutes in the filter plant looking for something that should be there but isn't. The cable that was damaged carries a high energy charge. In order to cut it, he would need a laser knife or an insulated saw. Ne…

Just read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.

Urban Diaspora IV 🎈
城市放逐 IV 🎈
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Good morning everyone! We are starting into our second week of vacation. We'll be seeing some friends.
Meanwhile, enjoy this photo from a bike and hike we did last year.
#hiking #wandern #mountains

Life on Different Paths III🚶🚶‍♀️🚶‍♂️
生活诸多路径 III🚶🚶‍♀️🚶‍♂️
📷 Nikon FE
🎞️FOMAPAN Action 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography