Tootfinder

A New York appeals court rules that Chris Cuomo can't revive his bid to disqualify the arbitrator overseeing his $125M claim against CNN over his 2021 firing (Winston Cho/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Chris Cuomo Loses Appeal Bid to Disqualify Arbitrator in CNN Proceedings
The former CNN anchor initiated the proceedings after he was fired by the network for giving advice to his brother, who was accused of sexual harassment.

Optimization Modeling via Semantic Anchored Alignment
Yansen Zhang, Qingcan Kang, Yujie Chen, Yufei Wang, Xiongwei Han, Tao Zhong, Mingxuan Yuan, Chen Ma
https://arxiv.org/abs/2510.05115

Optimization Modeling via Semantic Anchored Alignment
Large language models (LLMs) have opened new paradigms in optimization modeling by enabling the generation of executable solver code from natural language descriptions. Despite this promise, existing approaches typically remain solver-driven: they rely on single-pass forward generation and apply limited post-hoc fixes based on solver error messages, leaving undetected semantic errors that silently produce syntactically correct but logically flawed models. To address this challenge, we propose S…

You see a detective on the TV and he’s interviewing all the suspects asking them what they were doing on the night of the murder a month ago last Tuesday night.
And on the TV, the suspects all know. Right away.
If you asked me ten years ago though, I’d have had barely any clue. If you’re lucky it’d have been something planned in my calendar but mostly, dunno. Watching TV maybe? No idea what show. Was that a night I was in the pub?
As we all get older this problem increases I’m told. Eventually full on senility sets in.
But what if you have already built the habit to record what you’re doing? To be able to look back and revise and review how you spent your days? An external aid as a crutch to your own forgetful brain’s cortex?
So I started this Exocortex Log over a decade ago and now I can answer: Ten years ago on Tuesday I was having dinner with the guitarist from my band and his girlfriend and they burned the pudding.
The app has been half finished and barely able to even record let alone review for most of that time, but now it’s ready enough that someone else might use it too if they want.
Try it out: #lifeLog #app #memoryAid

OpenCoderRank: AI-Driven Technical Assessments Made Easy
Hridoy Sankar Dutta, Sana Ansari, Swati Kumari, Shounak Ravi Bhalerao
https://arxiv.org/abs/2509.06774 https://

OpenCoderRank: AI-Driven Technical Assessments Made Easy
Organizations and educational institutions use time-bound assessment tasks to evaluate coding and problem-solving skills. These assessments measure not only the correctness of the solutions, but also their efficiency. Problem setters (educator/interviewer) are responsible for crafting these challenges, carefully balancing difficulty and relevance to create meaningful evaluation experiences. Conversely, problem solvers (student/interviewee) apply coding efficiency and logical thinking to arrive …

I've read the following rhetorical question recently:
If “vote blue no matter who” doesn't apply to Zohran Mamdani, what does it actually mean?
...and despite all of us understanding the implication, let me actually try to give an answer, as the slogan emerged specifically from US politics, but this phenomenon hasn't.
This specific statement asking people to always vote for the democratic party, no matter who the candidate is, has always been thrown…

A generalized Cheeger inequality and the Steklov Problem on finite graphs
Bobo Hua, Supanat Kamtue, Shiping Liu, Florentin M\"unch, Norbert Peyerimhoff
https://arxiv.org/abs/2509.05667

A generalized Cheeger inequality and the Steklov Problem on finite graphs
We prove generalized Cheeger inequalities for eigenvalues of Laplacians for reversible Markov chains. Then we apply Hassannezhad and Miclo's convergence result to obtain Jammes Cheeger inequalities for Steklov eigenvalues. In particular, we get a sharp estimate for the first non-trivial Steklov eigenvalue via Escobar Cheeger constant. At the end, we extend Hassannezhad and Miclo's convergence result to non-reversible Markov chains via a different method based on resolvent convergence, answering…

Apple's Houston manufacturing facility, originally scheduled to open in 2026, is now shipping AI servers that power Apple Intelligence and Private Cloud Compute (Brooke Singman/Fox Business)
https://www.foxbusiness.com/politics/apple…

Apple building American-made AI servers ahead of schedule in new Houston facility, answering Trump call
EXCLUSIVE: Apple is now building and shipping American-made artificial intelligence servers in the United States — a move that has the technology giant answering President Donald Trump’s call to on shore manufacturing.

Gamma-Ray Burst Polarimetry with the POLAR and POLAR-2 missions
Nicolas De Angelis, Philipp Azzarello, Franck Cadoux, Kurt Dittrich, Yannick Favre, Jochen Greiner, Johannes Hulsman, Coralie Husi, Merlin Kole, Hancheng Li, Slawomir Mianowski, Gabriel Pelleriti, Agnieszka Pollo, Nicolas Produit, Dominik Rybka, Jianchao Sun, Xin Wu, Shuang-Nan Zhang
https://

Gamma-Ray Burst Polarimetry with the POLAR and POLAR-2 missions
Gamma-Ray Bursts are among the most powerful and violent events in the Universe. Despite over half a century of observations of these transient sources, many open questions remain about their nature and the physical emission mechanisms at play. Polarization measurements of the GRB prompt gamma-ray emission have long been theorized to be able to answer most of these questions. Early polarization measurements did not allow to draw clear conclusions because of limited significance. With the aim …

Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
Aksel Joonas Reedi, Corentin L\'eger, Julien Pourcel, Loris Gaven, Perrine Charriau, Guillaume Pourcel
https://arxiv.org/abs/2510.05909

Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
Large Language Models (LLMs) optimized to output truthful answers often overfit, producing brittle reasoning that fails to generalize. While persuasion-based optimization has shown promise in debate settings, it has not been systematically compared against mainstream truth-based approaches. We introduce DebateQD, a minimal Quality-Diversity (QD) evolutionary algorithm that evolves diverse debate strategies across different categories (rationality, authority, emotional appeal, etc.) through tour…