Tootfinder

»Rust Coreutils 0.3.0 — Up to 3.7x Faster Than GNU Tools:
The Rust re-implementation of classic Unix tools achieves significant performance gains and improved security in version 0.3.0«
This is exciting because of course Rust is slower than C/C . As a human, this will certainly not really be noticeable when using the terminal, but the scripts will certainly be faster on servers as a result.
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Rust Coreutils 0.3.0: Bis zu 3,7-mal schneller als GNU-Tools
Die Rust-Reimplementierung klassischer Unix-Tools erreicht in Version 0.3.0 deutliche Performance-Steigerungen und verbesserte Sicherheit.

Oh, Flieder und Lorbeer haben schon wieder Knospen. War ein kurzer Winter. #Uckermark

Bayesian and geometric analyses of power spectral densities of spin qubits in Si/SiGe quantum dot devices
Yujun Choi (Virginia Tech), Hruday Mallubhotla (University of Wisconsin-Madison), Mark Friesen (University of Wisconsin-Madison), Susan N. Coppersmith (University of New South Wales), Robert Joynt (University of Wisconsin-Madison)
https://

Bayesian and geometric analyses of power spectral densities of spin qubits in Si/SiGe quantum dot devices
Charge noise with a power-law spectrum poses a significant challenge to high-fidelity operation of spin qubits in semiconductor devices. Recently, considerable experimental work characterized this noise using qubits as spectrometers. It apparently arises from a collection of two-level fluctuating electric dipole systems (TLS). This suggests using the data to infer the positions, orientations, and other physical characteristics of the TLS. We identify a fundamental difficulty in this program: th…

Investigating the Task Load of Investigating the Task Load in Visualization Studies
Daniel Pahr, Sara Di Bartolomeo
https://arxiv.org/abs/2509.24643 https://

Investigating the Task Load of Investigating the Task Load in Visualization Studies
The NASA task load index (short: NASA-TLX) is a common metric to evaluate the workload of a user in a visualization study. Yet, it is rarely performed as initially intended, as the sources-of-workload evaluation is often omitted for various reasons. We conduct an online survey to investigate the task load of administering different versions of the NASA-TLX in a meta-study using the ReVISit framework. Our results show that it is not the slight increase in experiment time, but rather participants…

SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation
Zhifan Ye, Jiachi Chen, Zhenzhe Shao, Lingfeng Bao, Xiaohu Yang, Zhongxin Liu
https://arxiv.org/abs/2509.23824

SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation
The rise of blockchain has brought smart contracts into mainstream use, creating a demand for smart contract generation tools. While large language models (LLMs) excel at generating code in general-purpose languages, their effectiveness on Solidity, the primary language for smart contracts, remains underexplored. Solidity constitutes only a small portion of typical LLM training data and differs from general-purpose languages in its version-sensitive syntax and limited flexibility. These factors…

Sogar Ehefrau verhöhnt - „Ich schäme mich für das, was passiert ist!“ #News #Nachrichten

The Quantum Decoding Problem : Tight Achievability Bounds and Application to Regev's Reduction
Agathe Blanvillain, Andr\'e Chailloux, Jean-Pierre Tillich
https://arxiv.org/abs/2509.24796

The Quantum Decoding Problem : Tight Achievability Bounds and Application to Regev's Reduction
We consider the quantum decoding problem. It consists in recovering a codeword given a superposition of noisy versions of this codeword. By measuring the superposition, we get back to the classical decoding problem. It appears for the first time in Chen, Liu and Zhandry's work showing a quantum advantage for the Short Integer Solution (SIS) problem for the $l_\infty$ norm. In a recent paper, Chailloux and Tillich proved that when we have a noise following a Bernoulli distribution, the quantum d…

RE: https://mastodon.ie/@padraig/115224732193029812
I solved this issue by buying the Japanese version of Metal Resistance from Discogs. :D

Omg, patently wrong. To begin with, I am the one using the GTX 1650, and my video shows that it's working great even with DLSS, as opposed to the viewer with the AMD problem. And that parrotting nincompoop of an AI wants me to - what? - save time, give technical advice, make some small talk? What a big, smoking hot, pointless pile of b this technology turns out to be.
And I guess Google lets the same fucking stupid LM to determine how to recommend my video to other viewers? Great!<…