Tootfinder

Cowboys Announce Final Decision on CeeDee Lamb Return https://heavy.com/sports/nfl/dallas-cowboys/announce-final-decision-ceedee-lamb-return/?adt_ei=[email]

Raiders' decision to avoid Shedeur Sanders looks even better after Brown QB's lousy debut https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/raiders-decision-avoid-shedeur-sanders-be…

Arizona challenges EPA decision ending $156 million in solar funding | News From The States
https://www.newsfromthestates.com/article/arizona-challenges-epa-decision-ending-156-million-solar-funding

Case-Based Decision-Theoretic Decoding with Quality Memories
Hiroyuki Deguchi, Masaaki Nagata
https://arxiv.org/abs/2509.12677 https://arxiv.org/pdf/2509.1…

Case-Based Decision-Theoretic Decoding with Quality Memories
Minimum Bayes risk (MBR) decoding is a decision rule of text generation, which selects the hypothesis that maximizes the expected utility and robustly generates higher-quality texts than maximum a posteriori (MAP) decoding. However, it depends on sample texts drawn from the text generation model; thus, it is difficult to find a hypothesis that correctly captures the knowledge or information of out-of-domain. To tackle this issue, we propose case-based decision-theoretic (CBDT) decoding, another…

“Sometimes the decision making criteria that the leadership uses to make a decision is different than the decision making criteria that might be reflected in scoring, but that really gets to the heart of it,” he said. 
That sounds a lot like #RFKJr's reasoning - Don't trust experts, I'm the one that knows what the right answer.

Lurie doubles down on S.F. permitting contract despite questions of deputy’s impropriety 
Lurie’s policy chief Ned Segal awarded contract to preferred firm despite report finding it "shouldn’t be considered."

“Sometimes the decision making criteria that the leadership uses to make a decision is different than the decision making criteria that might be reflected in scoring, but that really gets to the heart of it,” he said. 
That sounds a lot like #RFKJr's reasoning - Don't trust experts, I'm the one that knows what the right answer.

Lurie doubles down on S.F. permitting contract despite questions of deputy’s impropriety 
Lurie’s policy chief Ned Segal awarded contract to preferred firm despite report finding it "shouldn’t be considered."

I remember the outrage the copies of parliamentary acts would no longer be printed on vellum when stored in (what is effectively) a tinderbox of a building.
https://www.politico.eu/article/final-decision-on-fate-of-crumbling-uk-parliament-d…

Final decision on fate of crumbling UK parliament delayed to 2030s
It’s a fire-hazard that’s prone to tumbling masonry — but fear of a public backlash is again delaying repairs to the world famous building.

Trust Region Algorithm for Stochastic Minimax Problems with Decision-Dependent Distributions
Yan Gao, Yongchao Liu, Zili Luo
https://arxiv.org/abs/2509.12868 https://

Trust Region Algorithm for Stochastic Minimax Problems with Decision-Dependent Distributions
Stochastic minimax optimization has drawn much attention over the past decade due to its broad applications in machine learning, signal processing and game theory. In some applications, the probability distribution of uncertainty depends on decision variables, as the environment may respond to decisions. In this paper, we propose a trust region algorithm for finding the stationary points of stochastic minimax problems with decision-dependent distributions. At each iteration, the algorithm local…

An Uncertainty-Weighted Decision Transformer for Navigation in Dense, Complex Driving Scenarios
Zhihao Zhang, Chengyang Peng, Minghao Zhu, Ekim Yurtsever, Keith A. Redmill
https://arxiv.org/abs/2509.13132

An Uncertainty-Weighted Decision Transformer for Navigation in Dense, Complex Driving Scenarios
Autonomous driving in dense, dynamic environments requires decision-making systems that can exploit both spatial structure and long-horizon temporal dependencies while remaining robust to uncertainty. This work presents a novel framework that integrates multi-channel bird's-eye-view occupancy grids with transformer-based sequence modeling for tactical driving in complex roundabout scenarios. To address the imbalance between frequent low-risk states and rare safety-critical decisions, we propose…

Ban on Israeli football fans sparks UK political backlash (Noah Keate/Politico)
https://www.politico.eu/article/keir-starmer-slams-decision-to-ban-maccabi-tel-aviv-football-fans-from-uk-match/
http://www.memeorandum.com/251017/p12#a251017p12

Cowboys are making wrong decision with Dak Prescott to close out the season https://www.si.com/nfl/cowboys/onsi/news/dallas-cowboys-making-wrong-decision-dak-prescott-close-out-season

Photonic decision making using optical frequency difference detection in mutually-coupled semiconductor lasers
Hidetoshi Taira, Takatomo Mihana, Shun Kotoku, Andr\'e R\"ohm, Kazutaka Kanno, Atsushi Uchida, Ryoichi Horisaki
https://arxiv.org/abs/2509.12891

Photonic decision making using optical frequency difference detection in mutually-coupled semiconductor lasers
As electronic computing approaches its performance limits, photonic accelerators have emerged as promising alternatives. Photonic accelerators exploiting semiconductor-laser synchronization have been studied for decision-making. While conventional cross-correlation methods are computationally intensive and memory demanding, we propose a frequency-based approach using optical frequency differences. Simulations and experiments confirm that this method achieves decision making with reduced cost an…

HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making
Xingxing Hong, Yungong Wang, Dexin Jin, Ye Yuan, Ximing Huang, Zijian Wu, Wenxin Li
https://arxiv.org/abs/2509.12927

HLSMAC: A New StarCraft Multi-Agent Challenge for High-Level Strategic Decision-Making
Benchmarks are crucial for assessing multi-agent reinforcement learning (MARL) algorithms. While StarCraft II-related environments have driven significant advances in MARL, existing benchmarks like SMAC focus primarily on micromanagement, limiting comprehensive evaluation of high-level strategic intelligence. To address this, we introduce HLSMAC, a new cooperative MARL benchmark with 12 carefully designed StarCraft II scenarios based on classical stratagems from the Thirty-Six Stratagems. Each …

FT's Tim Cook retirement story could be a "trial balloon" from people close to him, if Cook makes the decision to leave on a high note after Q1 earnings report (M.G. Siegler/Spyglass)
https://spyglass.org/tim-cook-retirement-apple/

Let Tim Cook
Might Tim Cook retire as CEO of Apple in early 2026? There are signs...

A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
Jeff Dominitz, Charles F. Manski
https://arxiv.org/abs/2509.12388 …

A Decision Theoretic Perspective on Artificial Superintelligence: Coping with Missing Data Problems in Prediction and Treatment Choice
Enormous attention and resources are being devoted to the quest for artificial general intelligence and, even more ambitiously, artificial superintelligence. We wonder about the implications for our methodological research, which aims to help decision makers cope with what econometricians call identification problems, inferential problems in empirical research that do not diminish as sample size grows. Of particular concern are missing data problems in prediction and treatment choice. Essential…

During the #COP30 climate conference in Brazil, Australia's opposition party withdrew from the country's net-zero by 2050 target. It now sees net-zero as a potential 'welcome outcome' of using Australia's resources (coal, gas) plus new energy technologies. Reckless.

Liberal Party formally abandons net zero by 2050 climate target
The decision brings the party closer to the Nationals, which ditched its support for the target earlier this month amid internal turmoil over the Coalition's policy.

Improving Decision Trees through the Lens of Parameterized Local Search
Juha Harviainen, Frank Sommer, Manuel Sorge
https://arxiv.org/abs/2510.12726 https://

Improving Decision Trees through the Lens of Parameterized Local Search
Algorithms for learning decision trees often include heuristic local-search operations such as (1) adjusting the threshold of a cut or (2) also exchanging the feature of that cut. We study minimizing the number of classification errors by performing a fixed number of a single type of these operations. Although we discover that the corresponding problems are NP-complete in general, we provide a comprehensive parameterized-complexity analysis with the aim of determining those properties of the pr…

Evaluating Line Chart Strategies for Mitigating Density of Temporal Data: The Impact on Trend, Prediction, and Decision-Making
Rifat Ara Proma, Ghulam Jilani Quadri, Paul Rosen
https://arxiv.org/abs/2510.11912

Evaluating Line Chart Strategies for Mitigating Density of Temporal Data: The Impact on Trend, Prediction, and Decision-Making
Overplotted line charts can obscure trends in temporal data and hinder prediction. We conduct a user study comparing three alternatives-aggregated, trellis, and spiral line charts against standard line charts on tasks involving trend identification, making predictions, and decision-making. We found aggregated charts performed similarly to standard charts and support more accurate trend recognition and prediction; trellis and spiral charts generally lag. We also examined the impact on decision-m…

A federal appellate court ruled that
the Trump administration must remove California National Guard troops from Los Angeles by Monday.
The decision upheld a lower court order that halted the mobilization that had roiled the nation’s second-largest city for six months.
The ruling late Friday by the U.S. Court of Appeals for the Ninth Circuit substantially upheld a district court decision from earlier this week
that found the federal government had illegally prolonged t…

Appeals Court Says Trump Must End Los Angeles Deployment by Monday
While the decision did not remove the National Guard troops from the president’s control, it blocked him from using them in the nation’s second-largest city.

NFL has a big flex scheduling decision to make in Week 13: Here's one prime time game that could get moved

https://www.cbssports.com/nfl/news/nfl-has

Cries for help from our dying local newspaper:
Due to external issues we have been unable to produce a 16 page newspaper and have had to make the tough decision to go down in our regular page count from two 8 page sections, to 12 pages yesterday, and 10 pages in today's edition.

NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval
Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Shoubin Chen, David Filait
https://arxiv.org/abs/2509.12723

NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval
Navigation among movable obstacles (NAMO) is a critical task in robotics, often challenged by real-world uncertainties such as observation noise, model approximations, action failures, and partial observability. Existing solutions frequently assume ideal conditions, leading to suboptimal or risky decisions. This paper introduces NAMOUnc, a novel framework designed to address these uncertainties by integrating them into the decision-making process. We first estimate them and compare the correspo…

The Decision That Looms Over the Raiders in Week 11 https://www.si.com/nfl/raiders/onsi/las-vegas-decision-looms-over-week-11

I still don't understand how the Atleti goal was allowed to stand. Griezemann was clearly an influence on the play in an offside decision. Might have even screened Alisson.
#LFC

EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making
Zixing Lei, Sheng Yin, Yichen Xiong, Yuanzhuo Ding, Wenhao Huang, Yuxi Wei, Qingyao Xu, Yiming Li, Weixin Li, Yunhong Wang, Siheng Chen
https://arxiv.org/abs/2510.12072

EmboMatrix: A Scalable Training-Ground for Embodied Decision-Making
Embodied decision-making enables agents to translate high-level goals into executable actions through continuous interactions within the physical world, forming a cornerstone of general-purpose embodied intelligence. Large language models (LLMs), with their general decision-making capabilities, offer a promising path to realize this potential; however, LLMs trained solely on language lack exposure to physical environments, limiting their true embodied understanding. To bridge this gap, we propo…

👍 Candace Owens: Australia’s high court backs government decision to deny visa to US rightwinger | Australian politics | The Guardian
https://www.theguardian.com/australia-news/2025/oct/15/candace-owens-australia-visa-high-court-backs-government-decision-deny

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
Xu Zheng, Chenfei Liao, Ziqiao Weng, Kaiyu Lei, Zihao Dongfang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Lu Qi, Li Chen, Danda Pani Paudel, Kailun Yang, Linfeng Zhang, Luc Van Gool, Xuming Hu
https://arxiv.org/abs/2509.12989

PANORAMA: The Rise of Omnidirectional Vision in the Embodied AI Era
Omnidirectional vision, using 360-degree vision to understand the environment, has become increasingly critical across domains like robotics, industrial inspection, and environmental monitoring. Compared to traditional pinhole vision, omnidirectional vision provides holistic environmental awareness, significantly enhancing the completeness of scene perception and the reliability of decision-making. However, foundational research in this area has historically lagged behind traditional pinhole vi…

I thought of a new stupid t-shirt.
https://monad.teemill.com/product/the-ooops-decision-making-loop/

The OOOPS Decision Making Loop
The OODA loop is a decision-making model developed by United States Air Force Colonel John Boyd in the early 1970s. This is something is different.

When Large Language Models Meet UAVs: How Far Are We?
Yihua Chen, Xingle Que, Jiashuo Zhang, Ting Chen, Guangshun Li, Jiachi Chen
https://arxiv.org/abs/2509.12795 https://

When Large Language Models Meet UAVs: How Far Are We?
The integration of unmanned aerial vehicles (UAVs) and large language models (LLMs) has emerged as a research direction of growing interest, with the potential to address challenges in autonomous decision-making, human-UAV interaction, and real-time adaptability. However, existing studies have remained largely in preliminary exploration with a limited understanding of real-world practice, risking a misalignment between academic research and practical needs and hindering the translation of resul…

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
Meryem Malak Dif, Mouhamed Amine Bouchiha, Abdelaziz Amara Korba, Yacine Ghamri-Doudane
https://arxiv.org/abs/2509.12233

Towards Trustworthy Agentic IoEV: AI Agents for Explainable Cyberthreat Mitigation and State Analytics
The Internet of Electric Vehicles (IoEV) envisions a tightly coupled ecosystem of electric vehicles (EVs), charging infrastructure, and grid services, yet it remains vulnerable to cyberattacks, unreliable battery-state predictions, and opaque decision processes that erode trust and performance. To address these challenges, we introduce a novel Agentic Artificial Intelligence (AAI) framework tailored for IoEV, where specialized agents collaborate to deliver autonomous threat mitigation, robust a…

After spotting some dumbass PR on `github.com/torvalds/linux` I checked the closed PRs filter... A decision that I regret.
Why must people be so degenerate...

Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
Zihao Zhao, Christopher Yeh, Lingkai Kong, Kai Wang
https://arxiv.org/abs/2510.11590 https://…

Diffusion-DFL: Decision-focused Diffusion Models for Stochastic Optimization
Decision-focused learning (DFL) integrates predictive modeling and optimization by training predictors to optimize the downstream decision target rather than merely minimizing prediction error. To date, existing DFL methods typically rely on deterministic point predictions, which are often insufficient to capture the intrinsic stochasticity of real-world environments. To address this challenge, we propose the first diffusion-based DFL approach, which trains a diffusion model to represent the di…

«C’est peut-être un peu surprenant sur le plan de la gestion.» Eh ben, oui.
https://www.rts.ch/info/suisse/2025/article/la-ssr-revient-sur-la-fm-apres-la-decision-du-parlement-de-maintenir-la-bande-2908795…

Rich Vehicle Routing Problem with diverse Vertices allowing Hierarchical and Multimodal Time-Dependant Transhipment of multiple Node- Vehicle- compatible Cargo with Cascaded Time-Minimization Objective for Emergency Decision Support Systems
Santanu Banerjee, Goutam Sen, Siddhartha Mukhopadhyay
https://arxiv.org/abs/2509.13227

Rich Vehicle Routing Problem with diverse Vertices allowing Hierarchical and Multimodal Time-Dependant Transhipment of multiple Node- Vehicle- compatible Cargo with Cascaded Time-Minimization Objective for Emergency Decision Support Systems
A rich vehicle routing problem is considered allowing multiple trips of heterogeneous vehicles stationed at distributed vehicle depots spread across diverse geographies having access to different modes of transportation. The problem arises from the real world requirement of optimizing the disaster response/preparedness time and minimizes the route duration of the vehicles to achieve the solution with the minimum highest-vehicle-route-duration. Multiple diversely-functional vertices are consider…

Look into a mirror before you make a big decision. It helps you reflect.

Enhancing Radiographic Disease Detection with MetaCheX, a Context-Aware Multimodal Model
Nathan He, Cody Chen
https://arxiv.org/abs/2509.12287 https://arxi…

Enhancing Radiographic Disease Detection with MetaCheX, a Context-Aware Multimodal Model
Existing deep learning models for chest radiology often neglect patient metadata, limiting diagnostic accuracy and fairness. To bridge this gap, we introduce MetaCheX, a novel multimodal framework that integrates chest X-ray images with structured patient metadata to replicate clinical decision-making. Our approach combines a convolutional neural network (CNN) backbone with metadata processed by a multilayer perceptron through a shared classifier. Evaluated on the CheXpert Plus dataset, MetaChe…

Biased-Attention Guided Risk Prediction for Safe Decision-Making at Unsignalized Intersections
Chengyang Dong, Nan Guo
https://arxiv.org/abs/2510.12428 https://

Biased-Attention Guided Risk Prediction for Safe Decision-Making at Unsignalized Intersections
Autonomous driving decision-making at unsignalized intersections is highly challenging due to complex dynamic interactions and high conflict risks. To achieve proactive safety control, this paper proposes a deep reinforcement learning (DRL) decision-making framework integrated with a biased attention mechanism. The framework is built upon the Soft Actor-Critic (SAC) algorithm. Its core innovation lies in the use of biased attention to construct a traffic risk predictor. This predictor assesses …

Judge rejects Meta attempt to overturn Flo privacy verdict https://therecord.media/judge-rejects-meta-attempt-overturn-flo-privacy-lawsuit

Discovering interpretable piecewise nonlinear model predictive control laws via symbolic decision trees
Ilias Mitrai
https://arxiv.org/abs/2510.10411 https://

Discovering interpretable piecewise nonlinear model predictive control laws via symbolic decision trees
In this paper, we propose symbolic decision trees as surrogate models for approximating model predictive control laws. The proposed approach learns simultaneously the partition of the input domain (splitting logic) as well as local nonlinear expressions for predicting the control action leading to interpretable piecewise nonlinear control laws. The local nonlinear expressions are determined by the learning problem and are modeled using a set of basis functions. The learning task is posed as a m…

A Variety of Request-Response Specifications
Daichi Aiba, Masaki Waga, Hiroya Fujinami, Koko Muroya, Shutaro Ouchi, Naoki Ueda, Yosuke Yokoyama, Yuta Wada, Ichiro Hasuo
https://arxiv.org/abs/2509.13078

A Variety of Request-Response Specifications
We find, motivated by real-world applications, that the well-known request-response specification comes with multiple variations, and that these variations should be distinguished. As the first main contribution, we introduce a classification of those variations into six types, and present it as a decision tree, where a user is led to the type that is suited for their application by answering a couple of questions. Our second main contribution is the formalization of those six types in various …

Reinforcement Learning-Based Market Making as a Stochastic Control on Non-Stationary Limit Order Book Dynamics
Rafael Zimmer, Oswaldo Luiz do Valle Costa
https://arxiv.org/abs/2509.12456

Reinforcement Learning-Based Market Making as a Stochastic Control on Non-Stationary Limit Order Book Dynamics
Reinforcement Learning has emerged as a promising framework for developing adaptive and data-driven strategies, enabling market makers to optimize decision-making policies based on interactions with the limit order book environment. This paper explores the integration of a reinforcement learning agent in a market-making context, where the underlying market dynamics have been explicitly modeled to capture observed stylized facts of real markets, including clustered order arrival times, non-stati…

Privacy-Driven Network Data for Smart Cities
T\^ania Carvalho, Jos\'e Barata, Henish Balu, Filipa Moreira, Jo\~ao Bastos, Lu\'is Antunes
https://arxiv.org/abs/2509.12403

Privacy-Driven Network Data for Smart Cities
A smart city is essential for sustainable urban development. In addition to citizen engagement, a smart city enables connected infrastructure, data-driven decision making and smart mobility. For most of these features, network data plays a critical role, particularly from public Wi-Fi infrastructures, where cities can benefit from optimized services such as public transport management and the safety and efficiency of large events. One of the biggest concerns in developing a smart city is using …

RE: https://mastodon.social/@campuscodi/115719147481715249
Good decision by the GNOME project
Edit: It's not fully true. You can use AI but you will get your extension rejected if it does the usual AI generated code shenanigans.

Cowboys QB Dak Prescott Pressures Jerry Jones Over George Pickens Decision https://heavy.com/sports/nfl/dallas-cowboys/dak-prescott-pressure-jerry-jones-pickens/?adt_ei=[email]

Great news.
EU approves legal workaround to sideline Orbšn, keep Russian assets frozen forever. The EU’s decision undermines the Kremlin’s hopes of unfreezing the money under a post-war peace settlement.
https://www.politico.eu/article/eu-approve…

EU approves legal workaround to sideline Orbán, keep Russian assets frozen forever
The EU’s decision undermines the Kremlin’s hopes of unfreezing the money under a post-war peace settlement.

Important decision for #V2G in Germany: parliament approves a legislative amendment that exempts electricity stored and supplied by bidirectional charging cars from energy tax and network costs. This makes the business case viable (and equivalent to large stationary batteries).

Bund ebnet Weg für bidirektionales Laden - electrive.net
Der Bundestag hat überraschend eine wichtige Entscheidung zur bisherigen Mehrfach-Belastung von Strom beim bidirektionalen Laden getroffen. Die Netzentgelte

That "barrister uses ChatGPT" decision is here. (and, oh dear, that service needs some maintenance.)
https://tribunalsdecisions.service.gov.uk/utiac/ui-2025-003373-ui-2025-003374

"CJEU’s Russmedia decision: how online marketplace platforms could be held liable under the #GDPR"
https://www.twobirds.com/en/insights/20…

CJEUs Russmedia decision how online marketplace platforms could be held liable under the GDPR - Bird & Bird

🍼 Roster add: McVay announces birth of son https://www.espn.com/nfl/story/_/id/47325967/los-angeles-rams-sean-mcvay-son-birth

Q&A with Marc Maron on ending his WTF With Marc Maron podcast after 16 years, having President Obama as the final guest, never winning a Peabody Award, and more (New York Times)
https://www.nytimes.com/2025/10/13/arts/marc-maron-wtf-podcast.html

Marc Maron on the End of the “WTF” Podcast
The comedian, actor, and former podcaster discusses his decision to bring “WTF” to a close after 16 years and interviewing its final guest, Barack Obama.

Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
Jianfeng Zhu, Julina Maharjan, Xinyu Li, Karin G. Coifman, Ruoming Jin
https://arxiv.org/abs/2509.13244

Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
Large Language Models (LLMs) are increasingly deployed in roles requiring nuanced psychological understanding, such as emotional support agents, counselors, and decision-making assistants. However, their ability to interpret human personality traits, a critical aspect of such applications, remains unexplored, particularly in ecologically valid conversational settings. While prior work has simulated LLM "personas" using discrete Big Five labels on social media data, the alignment of LLMs with co…

GM is adding native Apple Music to select vehicles, and rolls out support for digital keys, after it started phasing out CarPlay in 2023 (Andrew J. Hawkins/The Verge)
https://www.theverge.com/transportation/844697/gm-cadillac-chevy-apple-music-native

Cadillac and Chevy are getting native Apple Music
GM is bringing native Apple Music to Cadillac and Chevy vehicles, thanks to its decision to block Apple CarPlay and Android Auto.

«C’est peut-être un peu surprenant sur le plan de la gestion.» Eh ben, oui.
https://www.rts.ch/info/suisse/2025/article/la-ssr-revient-sur-la-fm-apres-la-decision-du-parlement-de-maintenir-la-bande-2908795…

Patient Perspectives on Telemonitoring during Colorectal Cancer Surgery Prehabilitation
Irina Bianca Serban (Eindhoven University of Technology), Dimitra Dritsa (Eindhoven University of Technology), David ten Cate (M\'axima Medical Centre Veldhoven), Loes Janssen (M\'axima Medical Centre Veldhoven), Margot Heijmans (M\'axima Medical Centre Veldhoven), Sara Colombo (Delft University of Technology), Aarnout Brombacher (Eindhoven University of Technology), Steven Houben (Eindh…

Patient Perspectives on Telemonitoring during Colorectal Cancer Surgery Prehabilitation
Multimodal prehabilitation for colorectal cancer (CRC) surgery aims to optimize patient fitness and reduce postoperative complications. While telemonitoring's clinical value in supporting decision-making is recognized, patient perspectives on its use in prehabilitation remain underexplored, particularly compared to its related clinical context, rehabilitation. To address this gap, we conducted interviews with five patients who completed a four-week CRC prehabilitation program incorporating cont…

xOffense: An AI-driven autonomous penetration testing framework with offensive knowledge-enhanced LLMs and multi agent systems
Phung Duc Luong, Le Tran Gia Bao, Nguyen Vu Khai Tam, Dong Huu Nguyen Khoa, Nguyen Huu Quyen, Van-Hau Pham, Phan The Duy
https://arxiv.org/abs/2509.13021

xOffense: An AI-driven autonomous penetration testing framework with offensive knowledge-enhanced LLMs and multi agent systems
This work introduces xOffense, an AI-driven, multi-agent penetration testing framework that shifts the process from labor-intensive, expert-driven manual efforts to fully automated, machine-executable workflows capable of scaling seamlessly with computational infrastructure. At its core, xOffense leverages a fine-tuned, mid-scale open-source LLM (Qwen3-32B) to drive reasoning and decision-making in penetration testing. The framework assigns specialized agents to reconnaissance, vulnerability sc…

On Thursday, the California Coastal Commission voted to approve a permit allowing the Diablo Canyon Power Plant, perched above Avila Beach of San Luis Obispo County,
to continue operating through at least 2030.
The controversial decision was conditioned on Pacific Gas & Electric (PG&E), the plant’s operator, agreeing to permanently conserve 4,000 acres of surrounding land from commercial or residential development.
The decision carries powerful consequences for the…

Diablo Canyon Clears Hurdle to Stay Open Until at Least 2030
The California Coastal Commission approves permit allowing state’s last nuclear power plant to continue operating past its 2025 shutdown deadline.

Cowboys' Trevon Diggs decision for Week 15 at odds with cornerback's expectation https://www.sportingnews.com/us/nfl/dallas-cowboys/news/cowboys-trevon-diggs-decision-week-15-odds-cornerback…

Sample-Efficient Omniprediction for Proper Losses
Isaac Gibbs, Ryan J. Tibshirani
https://arxiv.org/abs/2510.12769 https://arxiv.org/pdf/2510.12769

Sample-Efficient Omniprediction for Proper Losses
We consider the problem of constructing probabilistic predictions that lead to accurate decisions when employed by downstream users to inform actions. For a single decision maker, designing an optimal predictor is equivalent to minimizing a proper loss function corresponding to the negative utility of that individual. For multiple decision makers, our problem can be viewed as a variant of omniprediction in which the goal is to design a single predictor that simultaneously minimizes multiple los…

Hawaii board votes to change name of Hawaii Island
https://thehill.com/homenews/nexstar_media_wire/5647899-hawaii-name-change-decision/

HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment
Ali Mekky, Omar El Herraoui, Preslav Nakov, Yuxia Wang
https://arxiv.org/abs/2510.12217 https://

HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment
Large language models (LLMs) are increasingly deployed across high-impact domains, from clinical decision support and legal analysis to hiring and education, making fairness and bias evaluation before deployment critical. However, existing evaluations lack grounding in real-world scenarios and do not account for differences in harm severity, e.g., a biased decision in surgery should not be weighed the same as a stylistic bias in text summarization. To address this gap, we introduce HALF (Harm-A…

Sam Altman says OpenAI is "not the elected moral police of the world" after receiving backlash for saying ChatGPT will allow "erotica for verified adults" (Ashley Capoot/CNBC)
https://www.cnbc.com/2025/10/15/altman-open-ai-moral-police-ero…

Sam Altman says OpenAI isn't 'moral police of the world' after erotica ChatGPT post blows up
OpenAI CEO Sam Altman said his company is "not the elected moral police of the world" after receiving backlash over his decision to allow erotica on ChatGPT.

Why the Raiders Have Beef with Worldwide Leader https://www.si.com/nfl/raiders/las-vegas-joe-buck-tom-brady-pete-carroll

HARMONIC: A Content-Centric Cognitive Robotic Architecture
Sanjay Oruganti, Sergei Nirenburg, Marjorie McShane, Jesse English, Michael K. Roberts, Christian Arndt, Carlos Gonzalez, Mingyo Seo, Luis Sentis
https://arxiv.org/abs/2509.13279

HARMONIC: A Content-Centric Cognitive Robotic Architecture
This paper introduces HARMONIC, a cognitive-robotic architecture designed for robots in human-robotic teams. HARMONIC supports semantic perception interpretation, human-like decision-making, and intentional language communication. It addresses the issues of safety and quality of results; aims to solve problems of data scarcity, explainability, and safety; and promotes transparency and trust. Two proof-of-concept HARMONIC-based robotic systems are demonstrated, each implemented in both a high-fi…

Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets
Jonas Ohnemus, Marta Fochesato, Riccardo Zuliani, John Lygeros
https://arxiv.org/abs/2509.12689

Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets
Optimal-Transport Distributionally Robust Optimization (OT-DRO) robustifies data-driven decision-making under uncertainty by capturing the sampling-induced statistical error via optimal transport ambiguity sets. The standard OT-DRO pipeline consists of a two-step procedure, where the ambiguity set is first designed and subsequently embedded into the downstream OT-DRO problem. However, this separation between uncertainty quantification and optimization might result in excessive conservatism. We …

In " Trump v Slaughter" the Supreme Court is likely to rule that
Trump has the power fire FTC head Rebecca Slaughter
(and, by implication, the heads of many other agencies thought to have a measure of independence,
such as the Securities and Exchange Commission, the National Labor Relations Board, the Federal Energy Regulatory Commission and the Federal Election Commission)
at his discretion.

The problem is that such a decision wouldn’t restore the constitu…

In this Supreme Court case, a sledgehammer is better than a scalpel
On Trump’s ability to fire the heads of agencies, the Supreme Court should take the harder route.

The Austrian Data Protection Authority ("DSB") issued a decision finding that Microsoft 365 Education illegally tracks students and uses student data for Microsoft's own purposes.
https://noyb.eu/en/noyb-win-microsoft-365-education-tracks-school-child…

noyb win: Microsoft 365 Education tracks school children
Favorable decision by the Austrian DSB: Microsoft Education 365 may not track school kids and Microsoft is ordered to provide full access to kids' data.

A US appeals court panel orders the Pittsburgh Post-Gazette to restore striking journalists' benefits from 2017, ruling the paper bargained in bad faith (Megan Swift/TribLIVE.com)
https://triblive.com/local/regional/appellate-court-…

Appellate court panel sides with striking Post-Gazette workers; PG will appeal decision
A federal appeals court panel on Monday ruled in favor of striking journalists at the Pittsburgh Post-Gazette, possibly heralding an end to a long and bitter labor dispute that led newspaper staffers to walk the picket line for more than three years. The decision by three judges on the U.S.

Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection
Nges Brian Njungle, Eric Jahns, Luigi Mastromauro, Edwin P. Kayang, Milan Stojkov, Michel A. Kinsy
https://arxiv.org/abs/2510.09985

Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection
Machine learning has become a crucial part of our lives, with applications spanning nearly every aspect of our daily activities. However, using personal information in machine learning applications has sparked significant security and privacy concerns about user data. To address these challenges, different privacy-preserving machine learning (PPML) frameworks have been developed to protect sensitive information in machine learning applications. These frameworks generally attempt to balance desi…

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Zile Qiao, Guoxin Chen, Xuanzhong Chen, Donglei Yu, Wenbiao Yin, Xinyu Wang, Zhen Zhang, Baixuan Li, Huifeng Yin, Kuan Li, Rui Min, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
https://arxiv.org/abs/2509.13309

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Recent advances in deep-research systems have demonstrated the potential for AI agents to autonomously discover and synthesize knowledge from external sources. In this paper, we introduce WebResearcher, a novel framework for building such agents through two key components: (1) WebResearcher, an iterative deep-research paradigm that reformulates deep research as a Markov Decision Process, where agents periodically consolidate findings into evolving reports while maintaining focused workspaces, o…

Raiders Insider Reveals Major QB Decision Ahead of Eagles Game https://heavy.com/sports/nfl/las-vegas-raiders/kenny-pickett-geno-smith-decision-eagles/

GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
Haozhan Ni, Jingsong Liang, Chenyu He, Yuhong Cao, Guillaume Sartoretti
https://arxiv.org/abs/2509.12863

GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
Autonomous robot exploration (ARE) is the process of a robot autonomously navigating and mapping an unknown environment. Recent Reinforcement Learning (RL)-based approaches typically formulate ARE as a sequential decision-making problem defined on a collision-free informative graph. However, these methods often demonstrate limited reasoning ability over graph-structured data. Moreover, due to the insufficient consideration of robot motion, the resulting RL policies are generally optimized to mi…

Jerry Jones makes decision on appeal for middle finger salute fine https://www.si.com/nfl/cowboys/news/jerry-jones-makes-decision-appeal-middle-finger-salute-fine

Eagles GM Howie Roseman on decision to keep A.J. Brown at deadline: 'Don't get rid of guys like that' https://www.nfl.com/news/eagles-gm-howie-roseman-explains-decision-keep-aj-brown-trade-deadline

Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices
Mallika Mainali, Harsha Sureshbabu, Anik Sen, Christopher B. Rauch, Noah D. Reifsnyder, John Meyer, J. T. Turner, Michael W. Floyd, Matthew Molineaux, Rosina O. Weber
https://arxiv.org/abs/2510.06093

Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices
As algorithmic decision-makers are increasingly applied to high-stakes domains, AI alignment research has evolved from a focus on universal value alignment to context-specific approaches that account for decision-maker attributes. Prior work on Decision-Maker Alignment (DMA) has explored two primary strategies: (1) classical AI methods integrating case-based reasoning, Bayesian reasoning, and naturalistic decision-making, and (2) large language model (LLM)-based methods leveraging prompt engine…

Reflection Before Action: Designing a Framework for Quantifying Thought Patterns for Increased Self-awareness in Personal Decision Making
Morita Tarvirdians, Senthil Chandrasegaran, Hayley Hung, Catholijn M. Jonker, Catharine Oertel
https://arxiv.org/abs/2510.04364

Reflection Before Action: Designing a Framework for Quantifying Thought Patterns for Increased Self-awareness in Personal Decision Making
When making significant life decisions, people increasingly turn to conversational AI tools, such as large language models (LLMs). However, LLMs often steer users toward solutions, limiting metacognitive awareness of their own decision-making. In this paper, we shift the focus in decision support from solution-orientation to reflective activity, coining the term pre-decision reflection (PDR). We introduce PROBE, the first framework that assesses pre-decision reflections along two dimensions: br…

Supreme Court’s ‘Go Ahead And Round Up All The Brown People’ Decision Is Being Challenged In Court | Techdirt
https://www.techdirt.com/2025/10/10/supreme-courts-go-ahead-and-round-up-all-the-brown-people-decision-is-being-challenged-in-court/

Brian Flores on Cowboys Win, Jonathan Greenard's Season, Red Zone Defense, Defensive Scheme Decision Making

Ever since the Supreme Court shattered campaign finance law with its decision in Citizens United v. Federal Election Commission in 2010,
Americans have been told there are only two ways to stop corporate and “dark” money in politics:
Amend the U.S. Constitution
or wait for the court to undo what it has done.
👉That is flat wrong.
Citizens United held that government may not regulate a corporation’s right to spend money independently in elections.
But the …

Learning-To-Measure: In-context Active Feature Acquisition
Yuta Kobayashi, Zilin Jing, Jiayu Yao, Hongseok Namkoong, Shalmali Joshi
https://arxiv.org/abs/2510.12624 https://

Learning-To-Measure: In-context Active Feature Acquisition
Active feature acquisition (AFA) is a sequential decision-making problem where the goal is to improve model performance for test instances by adaptively selecting which features to acquire. In practice, AFA methods often learn from retrospective data with systematic missingness in the features and limited task-specific labels. Most prior work addresses acquisition for a single predetermined task, limiting scalability. To address this limitation, we formalize the meta-AFA problem, where the goal…

State of the Steelers: What organization's past tells us about Mike Tomlin's future https://www.espn.com/nfl/story/_/id/47306098/state-pittsburgh-steelers-mike-tomlin-coach-present-future

Verifying Memoryless Sequential Decision-making of Large Language Models
Dennis Gross, Helge Spieker, Arnaud Gotlieb
https://arxiv.org/abs/2510.06756 https://

Verifying Memoryless Sequential Decision-making of Large Language Models
We introduce a tool for rigorous and automated verification of large language model (LLM)- based policies in memoryless sequential decision-making tasks. Given a Markov decision process (MDP) representing the sequential decision-making task, an LLM policy, and a safety requirement expressed as a PCTL formula, our approach incrementally constructs only the reachable portion of the MDP guided by the LLM's chosen actions. Each state is encoded as a natural language prompt, the LLM's response is pa…

$13.5 million Cowboys WR made key mistake that unraveled them vs Vikes https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/12/17/cowboys-wr-kavontae-turpin-mistake-week-15-vikings/87792031007/

Pete Carroll defends decision to kick late field goal against Broncos https://www.reviewjournal.com/sports/raiders/pete-carroll-defends-decision-to-kick-late-field-goal-against-broncos-3592670/

Commanders shut down QB Jayden Daniels for remainder of 2025 season, per report

https://www.cbssports.com/nfl/news/jayden-daniels-injury-news-shut-down-2025-season-comman…

Topological Signatures of ReLU Neural Network Activation Patterns
Vicente Bosca, Tatum Rask, Sunia Tanweer, Andrew R. Tawfeek, Branden Stone
https://arxiv.org/abs/2510.12700 htt…

Topological Signatures of ReLU Neural Network Activation Patterns
This paper explores the topological signatures of ReLU neural network activation patterns. We consider feedforward neural networks with ReLU activation functions and analyze the polytope decomposition of the feature space induced by the network. Mainly, we investigate how the Fiedler partition of the dual graph and show that it appears to correlate with the decision boundary -- in the case of binary classification. Additionally, we compute the homology of the cellular decomposition -- in a regr…

The Republican's decision to give the White House full power to decide what, when, and how congressionally appropriated money is spent
has created an impasse more deep and intractable than the shutdown itself,
because the question of how the conflict over Obamacare subsidies gets resolved has become impossible to answer.
What we have here is a fully busted appropriations process;
it is impossible to have faith in anything that Trump and his Republican cronies do w…

Why It’s Pointless for Democrats to Negotiate a Shutdown Deal
The most overlooked aspect of the current impasse is that it began a long time ago—and is rooted in a deep Trumpian dysfunction.

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis
Yuanfei Lin, Sebastian Illing, Matthias Althoff
https://arxiv.org/abs/2510.06717

SanDRA: Safe Large-Language-Model-Based Decision Making for Automated Vehicles Using Reachability Analysis
Large language models have been widely applied to knowledge-driven decision-making for automated vehicles due to their strong generalization and reasoning capabilities. However, the safety of the resulting decisions cannot be ensured due to possible hallucinations and the lack of integrated vehicle dynamics. To address this issue, we propose SanDRA, the first safe large-language-model-based decision making framework for automated vehicles using reachability analysis. Our approach starts with a …

Analyzing 1 Recent Raiders Decision https://www.si.com/nfl/raiders/onsi/las-vegas-analyzing-1-recent-decision

Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation
Chengpeng Hu, Calvin Yu-Chian Chen
https://arxiv.org/abs/2510.12498

Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation
Artificial Intelligence Virtual Cells (AIVCs) aim to learn executable, decision-relevant models of cell state from multimodal, multiscale measurements. Recent studies have introduced single-cell and spatial foundation models, improved cross-modality alignment, scaled perturbation atlases, and explored pathway-level readouts. Nevertheless, although held-out validation is standard practice, evaluations remain predominantly within single datasets and settings; evidence indicates that transport acr…

Darius Slay explains decision to decline joining Bills: 'They just caught me at a bad time' https://www.nfl.com/news/darius-slay-explains-decision-to-decline-joining-bills

CeeDee Lamb injury update: Cowboys make official decision on star WR for Week 6 https://www.sportingnews.com/us/nfl/dallas-cowboys/news/ceedee-lamb-injury-update-cowboys-official-decision-star-week-6/0…

Reinforcement Learning from Probabilistic Forecasts for Safe Decision-Making via Conditional Value-at-Risk Planning
Michal Koren, Or Peretz, Tai Dinh, Philip S. Yu
https://arxiv.org/abs/2510.08226

Reinforcement Learning from Probabilistic Forecasts for Safe Decision-Making via Conditional Value-at-Risk Planning
Sequential decisions in volatile, high-stakes settings require more than maximizing expected return; they require principled uncertainty management. This paper presents the Uncertainty-Aware Markov Decision Process (UAMDP), a unified framework that couples Bayesian forecasting, posterior-sampling reinforcement learning, and planning under a conditional value-at-risk (CVaR) constraint. In a closed loop, the agent updates its beliefs over latent dynamics, samples plausible futures via Thompson sa…

Pete Carroll defends field goal decision after backlash from the Raiders' loss to Broncos https://www.foxsports.com/articles/nfl/pete-carroll-defends-field-goal-decision-after-backlash-from-the-raiders-loss-to-bron…

Evaluating the Quality of Randomness and Entropy in Tasks Supported by Large Language Models
Rabimba Karanjai, Yang Lu, Ranjith Chodavarapu, Lei Xu, Weidong Shi
https://arxiv.org/abs/2510.12080

Evaluating the Quality of Randomness and Entropy in Tasks Supported by Large Language Models
The rapid advancement of large language model (LLM) technology has led to diverse applications, many of which inherently require randomness, such as stochastic decision-making, gaming, scheduling, AI agents, and cryptography-related tasks. However, the capabilities of LLMs in handling randomness, particularly in generating and utilizing random numbers effectively, remain unclear. This paper investigates the capacity of LLMs for handling tasks that involve randomness through a series of experime…

Lions WR St. Brown likely a game-time decision https://www.espn.com/nfl/story/_/id/47189161/lions-wr-amon-ra-st-brown-ankle-likely-game-decision

Ryan Flournoy making offseason decision on Jalen Tolbert easy https://insidethestar.com/ryan-flournoy-making-offseason-decision-on-jalen-tolbert-easy

Raiders HC Pete Carroll defends controversial decision from Sunday https://raiderramble.com/2025/12/08/raiders-hc-pete-carroll-defends-controversial-decision-from-sunday/

The Tournament Tree Method for preference elicitation in Multi-criteria decision-making
Diego Garc\'ia-Zamora, \'Alvaro Labella, Jos\'e Rui Figueira
https://arxiv.org/abs/2510.08197

The Tournament Tree Method for preference elicitation in Multi-criteria decision-making
Pairwise comparison methods, such as Fuzzy Preference Relations and Saaty's Multiplicative Preference Relations, are widely used to model expert judgments in multi-criteria decision-making. However, their application is limited by the high cognitive load required to complete $m(m-1)/2$ comparisons, the risk of inconsistency, and the computational complexity of deriving consistent value scales. This paper proposes the Tournament Tree Method (TTM), a novel elicitation and evaluation framework tha…

Raiders Announce Geno Smith Decision Before Eagles Game https://heavy.com/sports/nfl/las-vegas-raiders/geno-smith-starter-kenny-pickett-eagles/

Why did Rico Dowdle leave the Cowboys? Panthers RB aims to make Dallas regret free agency decision https://www.sportingnews.com/us/nfl/news/rico-dowdle-leave-cowboys-panthers-dallas/7a8f0a20866814f88f6aa8a9