Tootfinder

Holy. Fucking. Fuckballs.
This exploit is... insane.
> An unprivileged local user can write 4 controlled bytes into the page cache of any readable file on a Linux system, and use that to gain root
https://copy.fail/

Kitty Terminal Security PSA
If you are using the kitty terminal @…, go get your security update!
"The handle_compose_command() function in kitty/graphics.c performs bounds validation on composition offsets using unsigned 32-bit arithmetic that is subject to integer wrapping. An attacker who can write escape sequences to a kitty termin…

Heap Buffer Over-Read/Write via Integer Overflow in `compose_rectangles` Bounds Check
## Summary The `handle_compose_command()` function in `kitty/graphics.c` performs bounds validation on composition offsets using unsigned 32-bit arithmetic that is subject to integer wrapping. A...

Fun engineering problem I am currently facing: Generate a very long sine wave in ngscopeclient, accurately and in parallel, using only single-precision floating point and 32-bit integer math.
The current implementation, used in both the "sine" and "downconvert" filter, looks basically like (pseudocode with some stuff like scaling and offsets removed for simplicity)
double rate;
uint depth;
for GPU thread i in 0...depth-1
double tmp = (i * ra…

WTF
lol we're promising them 324 billion dollars?
It's like six years of their government's entire budget,
including offsets for petro sales lmfao.
We'd be paying their government to exist through Inauguration day 2033
https://bsky.app/profile/shipwreck75.b…

Shipwreck (@shipwreck75.bsky.social)
Mehr releases what it says are details of the Iran-US MoU:

Brain prioritizes "sound offsets" during hearing repair https://neurosciencenews.com/auditory-repair-noise-damage-30639/
Noise-induced reduction and early recovery of superior paraolivary nucleus sound-offset responses

Brain Prioritizes "Sound Offsets" During Hearing Repair - Neuroscience News
Neuroscience News provides research news for neuroscience, neurology, psychology, AI, brain science, mental health, robotics and cognitive sciences.

MORSE-PI -- Flexible and artefact-free image reconstruction for structural and functional QSM and other phase-critical imaging applications
Barbara Dymerska, Oliver Josephs, Benjamin James, Vahid Malekian, Nadine N. Graedel, Martina F. Callaghan
https://arxiv.org/abs/2606.21336 https://arxiv.org/pdf/2606.21336 https://arxiv.org/html/2606.21336
arXiv:2606.21336v1 Announce Type: new
Abstract: Phase imaging applications such as QSM are highly sensitive to noise amplifications, phase singularities, and other artefacts, particularly in challenging scenarios such as ultra-high field (7T), under-sampled or single-echo acquisitions. We present a novel image reconstruction method, MORSE-PI, designed to produce high-SNR, artefact-free, and singularity-free phase images for both structural and functional phase-based brain imaging. MORSE-PI extends our previous approach, MORSE, by introducing a Virtual Reference Coil (VRC). The VRC is constructed as a linear combination of coil sensitivity maps, with correlations enhanced between coil elements using the noise covariance matrix. Such a VRC ensures robust signal support across the entire brain and is used to correct phase offsets in the MORSE-derived coil sensitivity estimates, resulting in artefact-free, high SNR phase. Compared to GRAPPA with ASPIRE phase correction, MORSE-PI demonstrates greater robustness to artefacts such as noise amplification and aliasing, and shows improved reproducibility in structural imaging at both 3T and 7T. Unlike ESPIRiT and GRAPPA combined with adaptive coil combination methods, MORSE-PI yields singularity-free phase maps. MORSE-PI enables high-SNR reconstructions even for the most challenging scenarios, such as single-echo EPI at 7T. Its efficient, containerised implementation using the Gadgetron framework supports deployment on the MRI scanner console during measurements. MORSE-PI offers a flexible and computationally efficient solution for generating high-SNR, artefact- and singularity-free phase images in both single- and multi-echo GRE and EPI acquisitions. This makes it particularly well-suited for structural and functional QSM, as well as other phase-based MRI applications. Its robustness and rapid computational time facilitate efficient deployment on scanners across field strengths.
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🇺🇸 Car seeks energy partner to work together on exciting projects for the grid. A lasting partnership, based on equality that lifts both parties.
In Europe you could almost find the reverse contact ad:
🇪🇺 Smart energy partner seeks car for joint grid fun.
#V2G

"Consumers will be more motivated when given clear, appropriate incentives. Together, we can expand localized, time-of-use tariffs, allowing EV owners to charge cost-effectively during energy… | Jaap Burger
"Consumers will be more motivated when given clear, appropriate incentives. Together, we can expand localized, time-of-use tariffs, allowing EV owners to charge cost-effectively during energy surpluses and receive appropriate compensation when supporting the grid during peak strain or in times of need. This creates a rare economic alignment: a car becomes an asset that offsets its own operating costs while actively delivering benefits to the public system." A letter well worth reading from Wad…

Working on tempolocus, a tool that analyses time-series activity patterns to infer a user’s likely location.
In @…, we work with a large volume of social-network time series. Estimating users’ locations from these patterns is often a manual task.
I prototyped a Python module that combines potential locations with yearly activity …

Whenever I see these obvious offsets in #OpenStreetMap, I have this itch to move them so they align with each other. But since I am not a local, I won’t do so and will leave it to Greek OpenStreetMappers to reconcile. But yeah, the 100-meter offset looks bad.
Island of Skopelos, #Greece 🇬🇷:

Just patched my server against the https://copy.fail exploit:
https://askubuntu.com/a/1566257

Copy Fail — 732 Bytes to Root
CVE-2026-31431. 100% Reliable Linux LPE — no race, no per-distro offsets, page-cache write that bypasses on-disk file-integrity tools and crosses containers. Found by Xint Code.

Senators will 'insist on offsets' in reconciliation bill, Ron Johnson says (Jordain Carney/Politico)
https://www.politico.com/live-updates/2026/07/15/congress/ron-johnson-reconciliation-offsets-00999519
http://www.memeorandum.com/260716/p17#a260716p17

Enhanced nondipole momentum offsets in triple ionization of atoms driven by mid-infrared laser fields
Samuel James Praill, Georgios Petros Katsoulis, Daria Romero Torres, Agapi Emmanouilidou
https://arxiv.org/abs/2606.10837

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[2/3]:
- Hunting Wandering 3<z<8 Black Holes: Spatial Offsets in Ionization Ratio and Continuum Emission
Urvi Thakurdesai, et al.
https://arxiv.org/abs/2606.30715 https://mastoxiv.page/@arXiv_astrophGA_bot/116843669196485332
- Spectral Energy Distributions of Globular Clusters in VV191a
Ashton Cardona, et al.
https://arxiv.org/abs/2607.10352 https://mastoxiv.page/@arXiv_astrophGA_bot/116917375134409194
- The different methods to calculate cluster membership probabilities
Tahereh Ramezani, Prapti Mondal, Katerina Neumannova, Ernst Paunzen, Johana Supikova, Gabriel Szasz
https://arxiv.org/abs/2607.13711 https://mastoxiv.page/@arXiv_astrophGA_bot/116928584338673264
- On the current status of tidal tails of Galactic open clusters
Tahereh Ramezani, Prapti Mondal, Katerina Neumannova, Ernst Paunzen, Johana Supikova, Gabriel Szasz
https://arxiv.org/abs/2607.13747 https://mastoxiv.page/@arXiv_astrophGA_bot/116928607930493156
- The Stripped-Star Ultraviolet Magellanic Cloud Survey (SUMS): The UV Photometric Catalog and Stri...
Bethany Ludwig, Maria R. Drout, Ylva Gotberg, Dustin Lang, Alexander Laroche
https://arxiv.org/abs/2505.18632 https://mastoxiv.page/@arXiv_astrophSR_bot/114578704405418342
- Observable signature of magnetic tidal coupling in hierarchical triple systems
Marta Cocco, Gianluca Grignani, Troels Harmark, Marta Orselli, Davide Panella, Daniele Pica
https://arxiv.org/abs/2510.24897 https://mastoxiv.page/@arXiv_grqc_bot/115462391818777276
- Periodic Gravitational Lensing with Oscillating Boson Stars
Xing-Yu Yang, Tan Chen, Rong-Gen Cai
https://arxiv.org/abs/2511.19606 https://mastoxiv.page/@arXiv_grqc_bot/115615137595636545
- Search for Dark Matter Annihilation and Decay with H$\alpha$ Line Emission
Rebecca K. Leane
https://arxiv.org/abs/2512.09019 https://mastoxiv.page/@arXiv_hepph_bot/115700041751825685
- Reanalyzing DESI DR1: 5. Cosmological Constraints with Simulation-Based Priors
Anton Chudaykin, Mikhail M. Ivanov, Oliver H. E. Philcox
https://arxiv.org/abs/2602.18554 https://mastoxiv.page/@arXiv_astrophCO_bot/116124504277603946
- Can wormholes have vanishing Love numbers?
Shauvik Biswas
https://arxiv.org/abs/2605.03025 https://mastoxiv.page/@arXiv_grqc_bot/116526586864139338
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Points as Tori: Fast Pointwise Signed Distance for Point Clouds
Nicole Feng, Ioannis Gkioulekas, Keenan Crane
https://arxiv.org/abs/2607.16946 https://arxiv.org/pdf/2607.16946 https://arxiv.org/html/2607.16946
arXiv:2607.16946v1 Announce Type: new
Abstract: We describe a method for computing signed distance to point clouds that allows fast pointwise evaluation at arbitrary spatial resolution. As input, our method takes a point cloud with normals; as output, it provides an analytical parameterization that allows queries of signed distance to the approximate underlying surface at arbitrary points - simultaneously providing reconstruction and distance. Our key idea is to reconstruct shapes by locally fitting point clouds with tori, which have closed-form signed distance functions. Tori are fitted in a feed-forward manner, using a pre-trained network to output per-point curvature and shift parameters. Importantly, our method does not require costly global optimization or spatial discretization, and is easily parallelizable. Underlying our method is a new theory that unifies signed distance with the classic reconstruction methods of winding numbers and Poisson surface reconstruction. We use our method to compute signed distance to point clouds arising from photogrammetry, meshes, 3D Gaussians, and neural implicits. Our method allows point clouds to be used directly in applications, without explicit surface reconstruction: as examples, we take offsets of point clouds, apply morphological and Boolean operations, and directly visualize offset surfaces using sphere tracing.
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