Tootfinder

Waymo applied for a NYC permit to test its cars with safety drivers and plans to start collecting mapping data with manually driven cars in Manhattan in July (Andrew J. Hawkins/The Verge)
https://www.theverge.com/news/689093/waymo-nyc-permit…

Waymo’s robotaxis are coming back to New York City
Waymo applied for a permit to test autonomous vehicles with safety drivers in New York City. And it hopes it can change the state law to allow it to operate fully driverless.

Oh: https://www.srf.ch/news/schweiz/aus-nach-26-jahren-das-ende-der-20-minuten-printausgabe-kommt-nicht-ueberraschend
(Gut, trifft mich als Velo-statt-ÖV-Pendler nicht wirklich. Und

Das Ende der «20 Minuten»-Printausgabe kommt nicht überraschend
Die Zeit der Printzeitungen ist nicht vorbei, die Vielfalt und Auflage aber dürfte künftig weiter deutlich abnehmen.

Somehow I got myself on this mailing list, every month or 3 they send a list of used printing equipment in Europe. I actually enjoy glancing at it, definitely a Heavy Metal vibe, for example this thing, made in 2011, has printed 137M impressions, and can be yours for a mere 420,000€. Free shipping probably not available.

Promoting walking and cycling: a toolkit of policy options
https://www.who.int/publications/i/item/9789240109902

Promoting walking and cycling: a toolkit of policy options
This toolkit offers policy options to promote safe walking and cycling, highlighting their benefits for individuals, communities, the environment, and the economy. It includes seven strategic policies and real-world case studies demonstrating successful implementations.

Melissa Hortman's parents speak about slain Minnesota lawmaker and husband in first TV interview (Lilia Luciano/CBS News)
https://www.cbsnews.com/news/melissa-hortman-parents-harry-linda-patrick-haluptzok-cbs-news-interview/
http://www.memeorandum.com/250617/p180#a250617p180

SFMTA board is hearing Mayor Lurie’s mass displacement plan to banish working-poor, mostly Latino families living in RVs from the city.
Here’s the “refuge permit” designed as window dressing to make liberals feel ok about this. Notice to get one, you have to “agree to accept offer of… interim… housing,” ie agree to be displaced a little later anyway. 💩
#sfpol

Twisted second moment of primitive cubic L-functions
Ziwei Hong, Zhiyong Zheng
https://arxiv.org/abs/2506.14656 https://arxiv.org/pdf…

Twisted second moment of primitive cubic L-functions
We investigate the mean value of the twisted second moment of primitive cubic $L$-functions over $\mathbb{F}_q(T)$ in the non-Kummer setting. Specifically, we study the sum \begin{equation*} \sum_{\substack{χ primitive\ cubic\\ genus(χ)=g}}χ(h_1)\barχ(h_2)|L_q(\frac{1}{2}, χ)|^2, \end{equation*} where $L_q(s,χ)$ denotes the $L$-function associated with primitive cubic character $χ$. Employing a double Dirichlet series approach, we establish an error term of size

Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models
Eunchi Kim, Paula Hartnagel, Barbara Urbano, Leonard Christen, Thomas Kirchartz
https://arxiv.org/abs/2506.13308

Inferring Material Parameters from Current-Voltage Curves in Organic Solar Cells via Neural-Network-Based Surrogate Models
Machine learning has emerged as a promising approach for estimating material parameters in solar cells. Traditional methods for parameter extraction often rely on time-consuming numerical simulations that fail to capture the full complexity of the parameter space and discard valuable information from suboptimal simulations. In this study, we introduce a novel workflow for parameter estimation in organic solar cells based on a combination of numerical simulations and neural networks. The workflo…

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Yanwei Ren, Xianglong Liu
https://arxiv.org/abs/2506.12394

LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
The advent of parameter-efficient fine-tuning methods has significantly reduced the computational burden of adapting large-scale pretrained models to diverse downstream tasks. However, existing approaches often struggle to achieve robust performance under domain shifts while maintaining computational efficiency. To address this challenge, we propose Low-rAnk Regulated Gradient Projection (LARGO) algorithm that integrates dynamic constraints into low-rank adaptation methods. Specifically, LARGO …

Overhearing my kids tell the babysitter, "You're the coolest adult in this house. But the bar is pretty low." #parenting