Tootfinder

Trishelle Tucay evades flag pull for TD to avoid shutout for Raiders https://www.nfl.com/videos/trishelle-tucay-evades-flag-pull-for-td-to-avoid-shutout-for-raiders

In a UK tribunal filing, ex-Meta employee Samujjal Purkayastha alleges Meta misled advertisers by inflating Shops ads' performance and bypassed Apple's ATT (Trishla Ostwal/Adweek)
https://www.adweek.com/media/whistleblower-alleges-m…

Whistleblower Alleges Meta Artificially Boosted Shops Ads Performance
Ex-Meta employee alleges the company inflated ad results to mask poor performance

This whole opinion, while well-meaning and bringing up generally good points (we humans can decide what technology we research and how we use it)—misses the point: there will not be an “AGI” that derives from current “AI” technology.
What the “AI” companies are proposing and the media is accepting at face value is like saying ever more realistic graphics in computer games will suddenly reach some threshold and the graphics will become the real world.
It’s nonsense.
https://www.theguardian.com/commentisfree/ng-interactive/2025/jul/21/human-level-artificial-intelligence

Sommigen willen serieus beweren dat de rellen in Den Haag niets met politiek te maken hebben, terwijl het D66 kantoor werd aangevallen en beschadigd, niet echt willekeurig...
#politiek #denhaag #D66…

Toiletbezoek op Tilburgse kermis na protest ook voor vrouwen gratis
https://nos.nl/artikel/2575742
Eindelijk... Dolle Mina is terug!
Via @…

Stability threshold of Couette flow for Boussinesq equations in $\mathbb{R}^2$
Yubo Chen, Wendong Wang, Guoxu Yang
https://arxiv.org/abs/2508.11908 https://

Stability threshold of Couette flow for Boussinesq equations in $\mathbb{R}^2$
This paper establishes the asymptotic stability threshold for the Couette flow $(y,0)$ under the 2D Boussinesq system in $\mathbb{R}^2$. It was proved that for initial perturbations in Sobolev spaces with controlled low horizontal frequencies, the stability threshold is at most $\left\{\frac{1}{3}+, \frac{2}{3}+\right\}$, extending the known threshold results from the periodic case $\mathbb{T}_x \times \mathbb{R}_y$ to the whole space. The core innovations are twofold: First, the $\langle D_x^{…

Terwijl de klimaatschuld oploopt, nemen wij een tweede hypotheek https://www.nu.nl/klimaat/6368692/terwijl-de-klimaatschuld-oploopt-nemen-wij-een-tweede-hypotheek.html

Terwijl de klimaatschuld oploopt, nemen wij een tweede hypotheek
In de rubriek De broeikas schrijft klimaatverslaggever Jeroen Kraan wekelijks over wat hem opvalt. Deze week: Europa heeft een flinke klimaatschuld opgebouwd. Gaan we aflossen, of nemen we een tweede hypotheek?

Topological Levinson's theorem and corrections at thresholds: the full picture in a quasi-1D example
T. T. Nguyen, D. Parra, S. Richard
https://arxiv.org/abs/2509.12684 http…

Topological Levinson's theorem and corrections at thresholds: the full picture in a quasi-1D example
Various threshold effects are investigated on a discrete quasi-1D scattering system. In particular, one of these effects is to add corrections to Levinson's theorem. We explain how these corrections are due to the opening or to the closing of channels of scattering, and how these contributions can be computed as partial winding numbers on newly introduced operators. Embedded thresholds, thresholds associated with changes of spectral multiplicity, and doubly degenerate thresholds are exhibited a…

Identification and Denoising of Radio Signals from Cosmic-Ray Air Showers using Convolutional Neural Networks
R. Abbasi, et al.
https://arxiv.org/abs/2508.14711 https://

Identification and Denoising of Radio Signals from Cosmic-Ray Air Showers using Convolutional Neural Networks
Radio pulses generated by cosmic-ray air showers can be used to reconstruct key properties like the energy and depth of the electromagnetic component of cosmic-ray air showers. Radio detection threshold, influenced by natural and anthropogenic radio background, can be reduced through various techniques. In this work, we demonstrate that convolutional neural networks (CNNs) are an effective way to lower the threshold. We developed two CNNs: a classifier to distinguish radio signal waveforms from…