Tootfinder

Just as we might have expected, the D-party is caving in and wimping out...
D's seem to be saying they will settle on a mere promise by the R's to hold a vote - which the D's will lose.
And even should the D's win that vote, the House won't go for it.
And even if the House went for it, El Cheato would veto it.
And even if that veto is overridden El Cheato will ignore it and use the money for some other purpose.
The D party is filled with wimp…

Democrats emboldened by election results mobilize against centrists’ emerging shutdown deal
Hours before the first major elections since President Donald Trump’s win last November, Sen. Bernie Sanders offered a stern warning for Democrats about the party’s secret talks to end the shutdown.

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Nikki Iles:
🎵 Wild Oak (feat. NDR Bigband)
#NikkiIles
https://open.spotify.com/track/565w7NVNS9DuBk3OhF1KU8

Work Zones challenge VLM Trajectory Planning: Toward Mitigation and Robust Autonomous Driving
Yifan Liao, Zhen Sun, Xiaoyun Qiu, Zixiao Zhao, Wenbing Tang, Xinlei He, Xinhu Zheng, Tianwei Zhang, Xinyi Huang, Xingshuo Han
https://arxiv.org/abs/2510.02803

Work Zones challenge VLM Trajectory Planning: Toward Mitigation and Robust Autonomous Driving
Visual Language Models (VLMs), with powerful multimodal reasoning capabilities, are gradually integrated into autonomous driving by several automobile manufacturers to enhance planning capability in challenging environments. However, the trajectory planning capability of VLMs in work zones, which often include irregular layouts, temporary traffic control, and dynamically changing geometric structures, is still unexplored. To bridge this gap, we conduct the \textit{first} systematic study of VLM…

Chiral algebra, Wilson lines, and mixed Hodge structure of Coulomb branch
Yutong Li, Yiwen Pan, Wenbin Yan
https://arxiv.org/abs/2510.03888 https://arxiv.o…

Chiral algebra, Wilson lines, and mixed Hodge structure of Coulomb branch
We find an intriguing relation between the chiral algebra and the mixed Hodge structure of the Coulomb branch of four dimensional $\mathcal{N} = 2$ superconformal field theories. We identify the space of irreducible characters of the $\mathcal{N} = 4$ $SU(N)$ chiral algebra $\mathbb{V}[\mathcal{T}_{SU(N)}]$ by analytically computing the Wilson line Schur index, and imposing modular invariance. We further establish a map from the $\mathbb{V}[\mathcal{T}_{SU(N)}]$ characters to the characters of …

Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending
Taekwon Hong, Wenbin Lu, Shu Yang, Pulak Ghosh
https://arxiv.org/abs/2510.03422

Multivariate Zero-Inflated Causal Model for Regional Mobility Restriction Effects on Consumer Spending
The COVID-19 pandemic presents challenges to both public health and the economy. Our objective is to examine how household expenditure, a significant component of private demand, reacts to changes in mobility. This investigation is crucial for developing policies that balance public health and the economic and social impacts. We utilize extensive scanner data from a major retail chain in India and Google mobility data to address this important question. However, there are a few challenges, incl…

Meta plans to start using users' AI chatbot conversations to help personalize ads and content, starting December 16, but not in the UK, South Korea, and the EU (Meghan Bobrowsky/Wall Street Journal)
https://www.wsj.com/te…

from my link log —
Computer animation in 1961: the Stanford card stunt program. (YouTube)
https://www.youtube.com/watch?v=wN1opFMXJbY
saved 2020-02-20 https://

DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
Hanyang Zhao, Dawen Liang, Wenpin Tang, David Yao, Nathan Kallus
https://arxiv.org/abs/2510.02212

DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
We propose DiFFPO, Diffusion Fast and Furious Policy Optimization, a unified framework for training masked diffusion large language models (dLLMs) to reason not only better (furious), but also faster via reinforcement learning (RL). We first unify the existing baseline approach such as d1 by proposing to train surrogate policies via off-policy RL, whose likelihood is much more tractable as an approximation to the true dLLM policy. This naturally motivates a more accurate and informative two-sta…

Victor Wembanyama overshadows Cooper Flagg's NBA debut; Pete Prisco's Week 8 NFL picks

https://www.cbssports.com/nba/news/victor-wembanyam…

almost go time 🏴‍☠️ https://www.youtube.com/shorts/wN5fN5kr9c8