Tootfinder

the latest formula1.com redesign is straight up atrocious. I can't tell anymore what that website is. It is now an aggregator of instagram posts mixed with ads and random videos, and an article that is hard to read due to the layout. Eeek ... #f1

Harte Hamilton-Kritik - Ferrari-Legende: „Das hätte Senna nie gemacht!“ #News #Nachrichten

#DavidHasselhoff #DavidChokachi
Season 7 Episode 16 "Matters of the Heart"
#RandomBaywatch

Operator level hard edge to bulk transition in $\beta$-ensembles via canonical systems
Vincent Painchaud
https://arxiv.org/abs/2510.06120 https://arxiv.org…

Operator level hard edge to bulk transition in $β$-ensembles via canonical systems
The hard edge and bulk scaling limits of $β$-ensembles are described by the stochastic Bessel and sine operators, which are respectively a random Sturm-Liouville operator and a random Dirac operator. By representing both operators as canonical systems, we show that in a suitable high-energy scaling limit, the stochastic Bessel operator converges in law to the stochastic sine operator. This is first done in the vague topology of canonical systems' coefficient matrices, and then extended to the …

Using Preformed Resistive Random Access Memory to Create a Strong Physically Unclonable Function
Jack Garrard, John F. Hardy II, Carlo daCunha, Mayank Bakshi
https://arxiv.org/abs/2510.02643

Using Preformed Resistive Random Access Memory to Create a Strong Physically Unclonable Function
Physically Unclonable Functions (PUFs) are a promising solution for identity verification and asymmetric encryption. In this paper, a new Resistive Random Access Memory (ReRAM) PUF-based protocol is presented to create a physical ReRAM PUF with a large challenge space. This protocol uses differential reads from unformed ReRAM as the method for response generation. Lastly, this paper also provides an experimental hardware demonstration of this protocol on a Physical ReRAM device, along with prov…

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Joe Harriott:
🎵 Hum Dono
#JoeHarriott

"Ask any developer working on Cloud, Mobile, or Web apps whether they would consider Windows a viable choice for their work, and their gasp would be heard from the Pitcairn Islands. And let us not even start talking about LLMs, AI, or other golden nuggets in vogue these days."
https://

Why Wait For The Best When I Could Have You?
Billions of people in this planet instinctively associate the concept of "operating system" to Microsoft Windows by antonomasia. Through perhaps resignation, corporate coercion, laziness, or just sheer ignorance, most cannot fathom a world in which laptops do not boot without a "Start" menu or do not randomly display a Blue Screen of Death every time they plug a new device.

High-Order Schemes for Hyperbolic Conservation Laws Using Young Measures
Shaoshuai Chu, Michael Herty
https://arxiv.org/abs/2509.02107 https://arxiv.org/pd…

High-Order Schemes for Hyperbolic Conservation Laws Using Young Measures
We develop high-order numerical schemes to solve random hyperbolic conservation laws using linear programming. The proposed schemes are high-order extensions of the existing first-order scheme introduced in [{\sc S. Chu, M. Herty, M. Lukáčová-Medvi{\softd}ová, and Y. Zhou}, solving random hyperbolic conservation laws using linear programming], where a novel structure-preserving numerical method using a concept of generalized, measure-valued solutions to solve random hyperbolic systems of co…

Polynomial-time sampling despite disorder chaos
Eric Ma, Tselil Schramm
https://arxiv.org/abs/2508.04133 https://arxiv.org/pdf/2508.04133

Polynomial-time sampling despite disorder chaos
A distribution over instances of a sampling problem is said to exhibit transport disorder chaos if perturbing the instance by a small amount of random noise dramatically changes the stationary distribution (in Wasserstein distance). Seeking to provide evidence that some sampling tasks are hard on average, a recent line of work has demonstrated that disorder chaos is sufficient to rule out "stable" sampling algorithms, such as gradient methods and some diffusion processes. We demonstrate that …