Tootfinder

Copper rush pushes Vale to ramp up mining near Amazonian protected areas https://news.mongabay.com/2025/10/copper-rush-pushes-vale-to-ramp-up-mining-near-amazonian-protected-areas/

Copper rush pushes Vale to ramp up mining near Amazonian protected areas
The metal needed in electric cars and solar panels comes with a high cost for Amazonian communities.

🇺🇦 Auf radioeins läuft...
Cat Power:
🎵 Cherokee
#NowPlaying #CatPower
https://aboveskies.bandcamp.com/track/cherokee-cat-power-cover
https://open.spotify.com/track/47V6SAlY1SWHYoPHY2vSIK

Just curious: Bolton is being indicted over mishandling of classified material.
OK.
But Cheeto and his klan are furious and mindless advocates of the utterly stupid "unitary executive" theory.
Under that theory Bolton was merely an extension of the biological body of El Cheeto.
If Bolton derived powers, it makes sense that he also derived immunities.
It would seem, therefore, that Bolton can seek cover under the same stupid "immunities" that …

@… Agreed.
*Some* sort of charge to cover the software interop that they’re providing? Okay I guess, I can see that make sense.
Doing it per minute specifically, feels like a “fuck you for not paying for our runners” tax.

Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents
Fuyu Xing, Zimu Wang, Wei Wang, Haiyang Zhang
https://arxiv.org/abs/2509.12876 https://

Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents
The proliferation of multimedia content necessitates the development of effective Multimedia Event Extraction (M2E2) systems. Though Large Vision-Language Models (LVLMs) have shown strong cross-modal capabilities, their utility in the M2E2 task remains underexplored. In this paper, we present the first systematic evaluation of representative LVLMs, including DeepSeek-VL2 and the Qwen-VL series, on the M2E2 dataset. Our evaluations cover text-only, image-only, and cross-media subtasks, assessed …

🇺🇦 #NowPlaying on KEXP's #VarietyMix
The Lords of the New Church:
🎵 Open Your Eyes
#TheLordsoftheNewChurch
https://deadartistsyndrome.bandcamp.com/track/open-your-eyes-live-the-lords-of-the-new-church-cover
https://open.spotify.com/track/5QV5XjedKQJfj4vaEwiWqC

Every week, Metacurity delivers our free and paid subscribers a run-down of the top infosec-related long reads we didn't have time for during the daily crush of cyber news.
This week's selection covers
--Massive surveillance in Mexico City leaves crime high,
--Workplace surveillance can harm workers,
--Machine learning privacy attacks are less effective in reality than they are in theory,
--LLMs produce more secure code when trained on flaw-free code,

Best infosec-related long reads for the week of 11/8/25
Massive surveillance in Mexico City leaves crime high, Workplace surveillance can harm workers, Machine learning privacy attacks are less effective in reality than they are in theory, LLMs produce more secure code when trained on flaw-free code, Three major kinds of bots cause web resource headaches

Proceedings of the Sixteenth International Symposium on Games, Automata, Logics, and Formal Verification
Giorgio Bacci (Aalborg University, Denmark), Adrian Francalanza (University of Malta)
https://arxiv.org/abs/2509.13258

Proceedings of the Sixteenth International Symposium on Games, Automata, Logics, and Formal Verification
This volume contains the proceedings of GandALF 2025, the Sixteenth International Symposium on Games, Automata, Logics, and Formal Verification. GandALF 2025 took place on 16-17th September 2025, in Valletta, Malta. The aim of GandALF 2025 is to bring together researchers from academia and industry who are actively working in the fields of Games, Automata, Logics, and Formal Verification. The idea is to cover an ample spectrum of themes, ranging from theory to applications, and stimulate cross-…

🇺🇦 #NowPlaying on #BBC6Music's #6MusicArtistCollection
Gossip:
🎵 Heavy Cross
#Gossip
https://therockidz.bandcamp.com/track/gossip-heavy-cross-cover
https://open.spotify.com/track/4N6R6yqkFUTyF3AYOdR0T7

Ly{\alpha} Intensity Mapping in HETDEX: Galaxy-Ly{\alpha} Intensity Cross-Power Spectrum
Maja Lujan Niemeyer, Eiichiro Komatsu, Jos\'e Luis Bernal, Chris Byrohl, Robin Ciardullo, Olivia Curtis, Daniel J. Farrow, Steven L. Finkelstein, Karl Gebhardt, Caryl Gronwall, Gary J. Hill, Matt J. Jarvis, Donghui Jeong, Erin Mentuch Cooper, Deeshani Mitra, Shiro Mukae, Julian B. Mu\~noz, Masami Ouchi, Shun Saito, Donald P. Schneider, Lutz Wisotzki

Lyα Intensity Mapping in HETDEX: Galaxy-Lyα Intensity Cross-Power Spectrum
We present a measurement of the Lyman-$α$ (Ly$α$) intensity mapping power spectrum from the Hobby-Eberly Telescope Dark Energy Experiment (HETDEX). We measure the cross-power spectrum of the Ly$α$ intensity and Ly$α$-emitting galaxies (LAEs) in a redshift range of $1.9 < z < 3.5$. We calculate the intensity from HETDEX spectra that do not contain any detected LAEs above a signal-to-noise ratio of $5.5$. To produce a power spectrum model and its covariance matrix, we simulate the data using …