Tootfinder

Resume Builder survey of 1,342 managers in the US: 60% say they rely on AI to make personnel decisions, 78% of which use the tech in deciding raises (Radhika Rajkumar/ZDNET)
https://www.zdnet.com/article/60-of-managers-…

60% of managers use AI to make decisions now, including whom to promote and fire - does yours?
In fact, 43% of managers surveyed went on to replace a human role with AI. Here's how employees can protect themselves in the face of AI's gray areas.

from my link log —
Toxic Origins, Toxic Decisions: bias in CEO selection towards risk-taking, analysed using polluted Superfund sites.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5270031
saved 2025-05-31

All 17 fired vaccine advisors unite to blast RFK Jr.’s “destabilizing decisions” - Ars Technica
https://arstechnica.com/health/2025/06/all-17-fired-vaccine-advisors-unite-to-blast-rfk-jr-s-destabilizing-decisions/

Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander
Li Wang, Qizhen Wu, Lei Chen
https://arxiv.org/abs/2507.11079 ht…

Tactical Decision for Multi-UGV Confrontation with a Vision-Language Model-Based Commander
In multiple unmanned ground vehicle confrontations, autonomously evolving multi-agent tactical decisions from situational awareness remain a significant challenge. Traditional handcraft rule-based methods become vulnerable in the complicated and transient battlefield environment, and current reinforcement learning methods mainly focus on action manipulation instead of strategic decisions due to lack of interpretability. Here, we propose a vision-language model-based commander to address the iss…

Well, Britain, we had a good run but I think it's over now. If nothing else the French will shortly be declaring war on us, for entirely justifiable decisions.

A Machine Learning Framework for Climate-Resilient Insurance and Real Estate Decisions
Lang Qin, Yuejin Xie, Daili Hua, Xuhui Meng
https://arxiv.org/abs/2506.14638

A Machine Learning Framework for Climate-Resilient Insurance and Real Estate Decisions
Extreme weather events increasingly threaten the insurance and real estate industries, creating conflicts between profitability and homeowner burdens. To address this, we propose the SSC-Insurance Model, which integrates SMOTE, SVM, and C-D-C algorithms to evaluate weather impacts on policies and investments. Our model achieves 88.3% accuracy in Zhejiang and 79.6% in Ireland, identifying a critical threshold (43% weather increase) for insurance viability. Additionally, we develop the TOA-Preser…

Mississippi Cotton Farmers Face Tough Decisions Amid Falling Prices, Rising Costs (Mississippi Free Press)
https://www.mississippifreepress.org/mississippi-cotton-farmers-face-tough-decisions-amid-falling-prices-rising-costs/
http://www.memeorandum.com/250714/p113#a250714p113

Look, I give a fuck, because freedom isn't some abstract idea or lip service paid to "choice" while real decisions are made over your head.
Freedom is collective, it's when everyone gets to shape the community together, no more of this top-down bullshit where rules drop from above and you’re told to accept it or leave. Anarcho-syndicalism is not theory to me, it’s my fucking life story now, because I want to actually live this principle where people, not bosses, run t…

Excellent: “the new site and map are designed to help roll out EV charging faster and more efficiently in the places they are best for consumers and where they can be most readily supported by the grid.”
https://thedriven.io/2025/07/18/ev-map

EV mapping tool and one-stop shop launched to identify charging locations and help buyers
Australia government launches new EV mapping tool to help locate chargers in right place, as part of a one-stop shop to help consumers make decisions about electric vehicles.

Zero-Shot Scene Understanding with Multimodal Large Language Models for Automated Vehicles
Mohammed Elhenawy, Shadi Jaradat, Taqwa I. Alhadidi, Huthaifa I. Ashqar, Ahmed Jaber, Andry Rakotonirainy, Mohammad Abu Tami
https://arxiv.org/abs/2506.12232

Zero-Shot Scene Understanding with Multimodal Large Language Models for Automated Vehicles
Scene understanding is critical for various downstream tasks in autonomous driving, including facilitating driver-agent communication and enhancing human-centered explainability of autonomous vehicle (AV) decisions. This paper evaluates the capability of four multimodal large language models (MLLMs), including relatively small models, to understand scenes in a zero-shot, in-context learning setting. Additionally, we explore whether combining these models using an ensemble approach with majority…

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
Enes \"Ozeren, Alexander Ulbrich, Sascha Filimon, David R\"ugamer, Andreas Bender
https://arxiv.org/abs/2506.12092

Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
A comprehensive understanding of traffic accidents is essential for improving city safety and informing policy decisions. In this study, we analyze traffic incidents in Munich to identify patterns and characteristics that distinguish different types of accidents. The dataset consists of both structured tabular features, such as location, time, and weather conditions, as well as unstructured free-text descriptions detailing the circumstances of each accident. Each incident is categorized into on…

Global smart glasses shipments grew 110% YoY in H1; Meta's share of the market rose to 73%; AI smart glasses accounted for 78% of shipments, up from 46% YoY (Counterpoint Research)
https://www.cou…

Assessing the economic benefits of space weather mitigation investment decisions: Evidence from Aotearoa New Zealand
Edward J. Oughton, Andrew Renton, Daniel Mac Marnus, Craig J. Rodger
https://arxiv.org/abs/2507.12495

Assessing the economic benefits of space weather mitigation investment decisions: Evidence from Aotearoa New Zealand
Space weather events pose a growing threat to modern economies, yet their macroeconomic consequences still remain underexplored. This study presents the first dedicated economic assessment of geomagnetic storm impacts on Aotearoa New Zealand, quantifying potential GDP losses across seven disruption and mitigation scenarios due to an extreme coronal mass ejection (CME). The primary focus is upon the damaging impacts of geomagnetically induced currents (GICs) on the electrical power transmission …

Cowboys Encouraged To Cut 4th Year Run Game ‘Liability’ https://heavy.com/sports/nfl/dallas-cowboys/damone-clark-encouraged-cut-run-liability/?adt_ei=[email]

Understanding API Usage and Testing: An Empirical Study of C Libraries
Ahmed Zaki, Cristian Cadar
https://arxiv.org/abs/2506.11598 https://

Understanding API Usage and Testing: An Empirical Study of C Libraries
For library developers, understanding how their Application Programming Interfaces (APIs) are used in the field can be invaluable. Knowing how clients are using their APIs allows for data-driven decisions on prioritising bug reports, feature requests, and testing activities. For example, the priority of a bug report concerning an API can be partly determined by how widely that API is used. In this paper, we present an empirical study in which we analyse API usage across 21 popular open-source…

Newfluence: Boosting Model interpretability and Understanding in High Dimensions
Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
https://arxiv.org/abs/2507.11895

Newfluence: Boosting Model interpretability and Understanding in High Dimensions
The increasing complexity of machine learning (ML) and artificial intelligence (AI) models has created a pressing need for tools that help scientists, engineers, and policymakers interpret and refine model decisions and predictions. Influence functions, originating from robust statistics, have emerged as a popular approach for this purpose. However, the heuristic foundations of influence functions rely on low-dimensional assumptions where the number of parameters $p$ is much smaller than the …

Pete Carroll recaps Preseason Week 2 vs. 49ers https://www.raiders.com/video/pete-carroll-preseason-week-2-49ers-recap

Full Canadian Transportation Agency decisions were #public, but legislative changes made most #confidential
https://www.…

Consumer Law for AI Agents
Christoph Busch
https://arxiv.org/abs/2507.11567 https://arxiv.org/pdf/2507.11567

Consumer Law for AI Agents
Since the public release of ChatGPT in November 2022, the AI landscape is undergoing a rapid transformation. Currently, the use of AI chatbots by consumers has largely been limited to image generation or question-answering language models. The next generation of AI systems, AI agents that can plan and execute complex tasks with only limited human involvement, will be capable of a much broader range of actions. In particular, consumers could soon be able to delegate purchasing decisions to AI ag…

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
Yen-Ku Liu, Yun-Huei Pan, Pei-Fan Lu, Yun-Cheng Tsai, Samuel Yen-Chi Chen
https://arxiv.org/abs/2507.12835

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
Financial trading environments are characterized by high volatility, numerous macroeconomic signals, and dynamically shifting market regimes, where traditional reinforcement learning methods often fail to deliver breakthrough performance. In this study, we design a reinforcement learning framework tailored for financial systems by integrating quantum circuits. We compare (1) the performance of classical A3C versus quantum A3C algorithms, and (2) the impact of incorporating LSTM-based prediction…

Angry dominant hegemony club gotta dominant hegemony :-)
https://climatejustice.social/@PeterRu/114687881102810320

Penalised spline estimation of covariate-specific time-dependent ROC curves
Mar\'ia Xos\'e Rodr\'iguez-\'Alvarez, Vanda In\'acio
https://arxiv.org/abs/2506.13604

Penalised spline estimation of covariate-specific time-dependent ROC curves
The identification of biomarkers with high predictive accuracy is a crucial task in medical research, as it can aid clinicians in making early decisions, thereby reducing morbidity and mortality in high-risk populations. Time-dependent receiver operating characteristic (ROC) curves are the main tool used to assess the accuracy of prognostic biomarkers for outcomes that evolve over time. Recognising the need to account for patient heterogeneity when evaluating the accuracy of a prognostic biomar…

Decision-Making-Based Path Planning for Autonomous UAVs: A Survey
Kelen C. Teixeira Vivaldini, Robert P\v{e}ni\v{c}ka, Martin Saska
https://arxiv.org/abs/2508.09304 https://

Decision-Making-Based Path Planning for Autonomous UAVs: A Survey
One of the most critical features for the successful operation of autonomous UAVs is the ability to make decisions based on the information acquired from their surroundings. Each UAV must be able to make decisions during the flight in order to deal with uncertainties in its system and the environment, and to further act upon the information being received. Such decisions influence the future behavior of the UAV, which is expressed as the path plan. Thus, decision-making in path planning is an e…

Latest news, buzz from all 32 NFL training camps: Who are the stars of the summer so far? https://www.espn.com/nfl/story/_/id/45702612/2025-nfl-training-camp-news-buzz-roster-decisions-depth-charts

What’s at stake for the environment in Bolivia’s upcoming elections? https://news.mongabay.com/2025/08/whats-at-stake-for-the-environment-in-bolivias-upcoming-elections/

What’s at stake for the environment in Bolivia’s upcoming elections?
Bolivians will go to the polls on Aug. 17 to vote for a new president, vice president and 166 combined members of the Senate and the Chamber of Deputies. When it comes to environmental policies, the country has many important decisions to make about climate change commitments, development of the lithium industry, illegal gold mining, […]

Procedural Knowledge Libraries: Towards Executable (Research) Memory
Hamidah Oderinwale
https://arxiv.org/abs/2506.14715 https://arxi…

Procedural Knowledge Libraries: Towards Executable (Research) Memory
Procedural Knowledge Libraries (PKLs) are frameworks for capturing the full arc of scientific inquiry, not just its outcomes. Whereas traditional libraries store static end products, PKLs preserve the process that leads to those results, including hypotheses, failures, decisions, and iterations. By addressing the loss of tacit knowledge -- typically buried in notebooks, emails, or memory -- PKLs lay a foundation for reproducible, collaborative, and adaptive research. PKLs provide executable, ve…

Data Synchronization at High Frequencies
Xinbing Kong, Cheng Liu, Bin Wu
https://arxiv.org/abs/2507.12220 https://arxiv.org/pdf/2507.…

Data Synchronization at High Frequencies
Asynchronous trading in high-frequency financial markets introduces significant biases into econometric analysis, distorting risk estimates and leading to suboptimal portfolio decisions. Existing synchronization methods, such as the previous-tick approach, suffer from information loss and create artificial price staleness. We introduce a novel framework that recasts the data synchronization challenge as a constrained matrix completion problem. Our approach recovers the potential matrix of high-…

Contestability in Quantitative Argumentation
Xiang Yin, Nico Potyka, Antonio Rago, Timotheus Kampik, Francesca Toni
https://arxiv.org/abs/2507.11323 https:…

Contestability in Quantitative Argumentation
Contestable AI requires that AI-driven decisions align with human preferences. While various forms of argumentation have been shown to support contestability, Edge-Weighted Quantitative Bipolar Argumentation Frameworks (EW-QBAFs) have received little attention. In this work, we show how EW-QBAFs can be deployed for this purpose. Specifically, we introduce the contestability problem for EW-QBAFs, which asks how to modify edge weights (e.g., preferences) to achieve a desired strength for a specif…

We don’t trust ourselves to make decisions. We second-guess ourselves constantly. We’re constantly doubting ourselves https://www.overcomecompulsivehoarding.co.uk/podcast-ep-188-decision-making-hoarding-disorder/

Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
Asifullah khan, Muhammad Zaeem Khan, Saleha Jamshed, Sadia Ahmad, Aleesha Zainab, Kaynat Khatib, Faria Bibi, Abdul Rehman
https://arxiv.org/abs/2506.12365

Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
This survey paper outlines the key developments in the field of Large Language Models (LLMs), such as enhancing their reasoning skills, adaptability to various tasks, increased computational efficiency, and ability to make ethical decisions. The techniques that have been most effective in bridging the gap between human and machine communications include the Chain-of-Thought prompting, Instruction Tuning, and Reinforcement Learning from Human Feedback. The improvements in multimodal learning and…

Heterogeneous Bribery, Technology Choice, and Capital Accumulation
Jafar M. Olimov, Yi-Chan Tsai, Hao-Yu Yang
https://arxiv.org/abs/2507.13124 https://

Heterogeneous Bribery, Technology Choice, and Capital Accumulation
We study the production, entry, and technological decisions of firms in the presence of bribery. We find that bribery can be justified even in the absence of bureaucratic inefficiencies. We document substantial technology-specific heterogeneity in bribery in 148 countries and incorporate it into a general equilibrium model, where firms use capital-intensive or labor-intensive technology. When bribery more heavily affects less efficient labor-intensive firms, resources move toward more efficient…

Retrocomputing being tied to wistful nostalgia for the halcyon days of 1983 fucking sickens me. I'm not into vintage computing for nostalgia, and never have been. I'm interested in serious consideration of the history of the machine that defines our era, evolutionary paths that died out, and the technical decisions made along them. Anything else is just masturbation in a mirror.

Choquet rating criteria, risk measures, and risk consistency
Nan Guo, Ruodu Wang, Chenxi Xia, Jingping Yang
https://arxiv.org/abs/2506.13435 https://

Choquet rating criteria, risk measures, and risk consistency
Credit ratings are widely used by investors as a screening device. We introduce and study several natural notions of risk consistency that promote prudent investment decisions in the framework of Choquet rating criteria. Three closely related notions of risk consistency are considered: with respect to risk aversion, the asset pooling effect, and the benefit of portfolio diversification. These notions are formulated either under a single probability measure or multiple probability measures. We s…

Lastly, I was wondering about the hard realities of the recent tragedy in terms of personnel decisions. Do Chiesa and Nunez look differently now? The rumors are that Chiesa wants a move back to Serie A. Playing time would change that, I bet. I keep hoping for him to have a dominant performance, but he just hasn't. You can see the glimpses of what he's got, but if it's hard to reach?
Nunez looked mature & patient (not just b/c of the short haircut!). Important pre-season…

Mobile Application Review Summarization using Chain of Density Prompting
Shristi Shrestha, Anas Mahmoud
https://arxiv.org/abs/2506.14192 https://

Mobile Application Review Summarization using Chain of Density Prompting
Mobile app users commonly rely on app store ratings and reviews to find apps that suit their needs. However, the sheer volume of reviews available on app stores can lead to information overload, thus impeding users' ability to make informed app selection decisions. To address this challenge, we leverage Large Language Models (LLMs) to summarize mobile app reviews. In particular, we use the Chain of Density (CoD) prompt to guide OpenAI GPT-4 to generate abstractive, semantically dense, and easil…

UDFA flyer could significantly alter state of Cowboys secondary in 2025 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/16/zion-childress-significantly-alter-dallas-cowboys-secondar…

Dependent Randomized Rounding for Budget Constrained Experimental Design
Khurram Yamin, Edward Kennedy, Bryan Wilder
https://arxiv.org/abs/2506.12677 https…

Dependent Randomized Rounding for Budget Constrained Experimental Design
Policymakers in resource-constrained settings require experimental designs that satisfy strict budget limits while ensuring precise estimation of treatment effects. We propose a framework that applies a dependent randomized rounding procedure to convert assignment probabilities into binary treatment decisions. Our proposed solution preserves the marginal treatment probabilities while inducing negative correlations among assignments, leading to improved estimator precision through variance reduc…

I read UCL's Vision for Inclusive Innovation and Transformation: 'our vision for a ‘data empowered society’ is one in which these advances enrich our society and enable us to make informed, inclusive decisions about technological advances' ht…

Building a Data-Empowered Society: UCL’s Vision for Inclusive Innovation and Transformation
Written by Professor James Hetherington and Professor Alison Littlejohn, Pro-Vice-Provosts to the UCL Grand Challenges theme of Data and…

Cross-Timeslot Optimization for Distributed GPU Inference Using Reinforcement Learning
Chengze Du, Zhiwei Yu, Heng Xu, Haojie Wang, Bo liu, Jialong Li
https://arxiv.org/abs/2507.10259

Cross-Timeslot Optimization for Distributed GPU Inference Using Reinforcement Learning
The rapid growth of large language model (LLM) services imposes increasing demands on distributed GPU inference infrastructure. Most existing scheduling systems rely on the current system state to make decisions, without considering how task demand and resource availability evolve over time. This lack of temporal awareness leads to inefficient GPU utilization, high task migration overhead, and poor system responsiveness under dynamic workloads. In this work, we identify the fundamental limitati…

I don't mind working, but not when decisions are made over our heads and the value we create gets siphoned off elsewhere. Work should be about democratic control, where we all have a direct say in the workplace, and our efforts strengthen our local community, not when profits and power leave our hands.
#Anarchism

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces
Yunhao Yang, Neel P. Bhatt, Christian Ellis, Alvaro Velasquez, Zhangyang Wang, Ufuk Topcu
https://arxiv.org/abs/2507.11352

Foundation Models for Logistics: Toward Certifiable, Conversational Planning Interfaces
Logistics operators, from battlefield coordinators rerouting airlifts ahead of a storm to warehouse managers juggling late trucks, often face life-critical decisions that demand both domain expertise and rapid and continuous replanning. While popular methods like integer programming yield logistics plans that satisfy user-defined logical constraints, they are slow and assume an idealized mathematical model of the environment that does not account for uncertainty. On the other hand, large langua…

A federal judge ruled on Thursday that Donald Trump illegally deployed the California national guard to suppress protests against immigration raids in Los Angeles
and ordered the force to be returned to the control of the state governor, Gavin Newsom.
The order by the US district judge Charles Breyer will not take effect until noon on Friday,
but it marked a stinging defeat for the Trump administration that is sure to touch off a pitched legal battle destined for the US supr…

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
Matthias Monnereau, Ana Jarne, Axel Benoist, Cl\'emence Fradet, Maurice Perol, Thomas Filleron, Louise Baschet
https://arxiv.org/abs/2506.11587

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
To evaluate methodological challenges and regulatory considerations of indirect treatment comparisons (ITCs) with the analysis of international health technology assessment guidelines and French Transparency Committee (TC) decisions. We conducted a pragmatic review of ITC guidelines from major health technology assessment (HTA) bodies and multistakeholder organizations. Then, we analyzed TC opinions published between 2021-2023. We extracted data on ITC methodology, therapeutic areas, acceptabil…

On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making
Sarah Jabbour, David Fouhey, Nikola Banovic, Stephanie D. Shepard, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
https://arxiv.org/abs/2508.07617

On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making
AI has the potential to augment human decision making. However, even high-performing models can produce inaccurate predictions when deployed. These inaccuracies, combined with automation bias, where humans overrely on AI predictions, can result in worse decisions. Selective prediction, in which potentially unreliable model predictions are hidden from users, has been proposed as a solution. This approach assumes that when AI abstains and informs the user so, humans make decisions as they would w…

Tonight's mission: boldly stream #STO from my #Linux powered PC! Prepare for warp speed, questionable tactical decisions, and probably me getting blown up by a Borg cube. Beam aboard the live stream! #StarTrekOnline

Convenience gives the illusion of freedom but is quite often the exact opposite.
Convenience creates "freedom from choice" and takes away the ability to make decisions on your own.

I went down a rabbit hole trying to understand some health issues, and I ended up with an idea for a study that involves Espresso and heart disease risks that would be relatively easy to perform and could help make more informed health decisions. My journey (and this is only one tiny aspect, I've been thinking about this a lot) started a bit more than a year ago when I got a blood test as part of a health checkup that contained some concerning values, notably high glucose and high LDL. 🧵…

On Middle Grounds for Preference Statements
Anne-Marie George, Ana Ozaki
https://arxiv.org/abs/2508.09553 https://arxiv.org/pdf/2508.09553

On Middle Grounds for Preference Statements
In group decisions or deliberations, stakeholders are often confronted with conflicting opinions. We investigate a logic-based way of expressing such opinions and a formal general notion of a middle ground between stakeholders. Inspired by the literature on preferences with hierarchical and lexicographic models, we instantiate our general framework to the case where stakeholders express their opinions using preference statements of the form I prefer 'a' to 'b', where 'a' and 'b' are alternative…

A Tale of Two Systems: Characterizing Architectural Complexity on Machine Learning-Enabled Systems
Renato Cordeiro Ferreira (University of S\~ao Paulo, Jheronimus Academy of Data Science, Technical University of Eindhoven, Tilburg University)
https://arxiv.org/abs/2506.11295

A Tale of Two Systems: Characterizing Architectural Complexity on Machine Learning-Enabled Systems
How can the complexity of ML-enabled systems be managed effectively? The goal of this research is to investigate how complexity affects ML-Enabled Systems (MLES). To address this question, this research aims to introduce a metrics-based architectural model to characterize the complexity of MLES. The goal is to support architectural decisions, providing a guideline for the inception and growth of these systems. This paper brings, side-by-side, the architecture representation of two systems that …

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions
Dimitrios Emmanoulopoulos, Ollie Olby, Justin Lyon, Namid R. Stillman
https://arxiv.org/abs/2507.08584

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions
Large language models (LLMs) are increasingly deployed in agentic frameworks, in which prompts trigger complex tool-based analysis in pursuit of a goal. While these frameworks have shown promise across multiple domains including in finance, they typically lack a principled model-building step, relying instead on sentiment- or trend-based analysis. We address this gap by developing an agentic system that uses LLMs to iteratively discover stochastic differential equations for financial time serie…

Strategic Customer Behavior in an M/M/1 Feedback Queue with General Payoffs
Peter Taylor, Jiesen Wang
https://arxiv.org/abs/2507.11263 https://

Strategic Customer Behavior in an M/M/1 Feedback Queue with General Payoffs
We consider an M/M/1 feedback queue in which service attempts may fail, requiring the customer to rejoin the queue. Arriving customers act strategically, deciding whether to join the queue based on a threshold strategy that depends on the number of customers present. Their decisions balance the expected service reward against the costs associated with waiting, while accounting for the behavior of others. This model was first analyzed by Fackrell, Taylor and Wang (2021), who assumed that waiti…

Fragile Preferences: A Deep Dive Into Order Effects in Large Language Models
Haonan Yin, Shai Vardi, Vidyanand Choudhary
https://arxiv.org/abs/2506.14092 h…

Fragile Preferences: A Deep Dive Into Order Effects in Large Language Models
Large language models (LLMs) are increasingly used in decision-support systems across high-stakes domains such as hiring and university admissions, where decisions often involve selecting among competing alternatives. While prior work has noted positional order biases in LLM-driven comparisons, these biases have not been systematically dissected or linked to underlying preference structures. We provide the first comprehensive investigation of positional biases across multiple LLM architectures …

There are factories today making bombs to drop on children and aircraft to drop them. These factories could have been tooled to make aircraft to put out fires and could still be retooled to do so in the future.
People in power are making explicit decisions to end lives instead of save them, and that's not something that should ever be forgiven or forgotten.

I see no Constitutional reason why SCOTUS is precluded from revisiting a prior decision and amending it.
We issue updates for software, why not for decisions?
Yes, it could lead to uncertainties if used more than rarely.
But imagine if the court could re-open the Dred Scott or Korematsu decisions and change the original?
Git hubs could accommodate this.

I don't usually advocate for an outcome like this... but this time I am because really the question isn't about the CBC. It's about Canadian sovereignty. Trump should have no part of any decision in Canada, period. So whether you love the CBC or not, the only correct answer here is No because we should never allow a foreign dictator to make decisions for us.
#CanPoli #CdnPoli #ElbowsUp
https://mastodon.online/@ZebKing/114829919091275075

Users hate #AI. So tech made it mandatory. Even if you don't personally use it, it pollutes what you read and how systems make decisions. The computer's hallucinated word is final.
And it steals your data to do it.
Your tools are constructing you as a subject of surveillance — the #UX is …

The AI age is the "age of no consent"
"Inevitability" means design decisions are no longer informed by user needs; now they are unilaterally imposed. The users are the ones being designed.

OceanGate? More like Heaven's Gate
https://www.theguardian.com/film/2025/jun/11/titan-sub-disaster-netflix-documentary

I’m not going to apologize for what I want my society and local community to look like because this matters to me deeply. I actually love working and being productive, but I like it less when I have no real say in how things are run at my workplace. It is not that I have anything personal against my boss, but the problem comes when they make critical decisions that affect my day-to-day life at work and I have no meaningful influence over those decisions. That lack of real input or control ma…

This 'investigation' into Comey and Brennan is clearly meant only as a distraction from the #Epstein debacle, trying to keep Trump's supporters from burning their #MAGA hats.

Trump day 170-171: Trump opens investigation into former FBI and CIA directors, wants to take over DC and NY administration, Grok becomes MechaHitler, lights on 24/7 at Alligator Alcatraz, maggots in food and Gor turns out to be Russian - Reporters Online
New decisions from Trump, and new fallout. An overview of day 170 and 171.

A Note on Inferential Decisions, Errors and Path-Dependency
Kangda K. Wren
https://arxiv.org/abs/2507.05634 https://arxiv.org/pdf/250…

A Note on Inferential Decisions, Errors and Path-Dependency
Consider the standard sequential testing of a binary outcome. The associated belief process and its objectively true conditional-probability counterpart generally differ, but they converge to the same target in well-defined tests. We show that unless the two processes are 'essentially identical', differing at most by an a priori factor, time-homogeneous continuous sequential decisions based on the former must be path-dependent with respect to state-variables based on the latter or other non-ess…

‘The court now grants’: Judge finally agrees to toss Jan. 6 defendant’s gun case in light of Trump pardon and decisions on where the government’s ‘resources are best spent’
https://lawandcrime.com/high-profile/the-court-now-grants-judge-finally-agrees-to-toss-jan-6-defendants-gun-case-in-light-of-trump-pardon-and-decisions-on-where-the-governments-resources-are-best-spent/

Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation
Karl L\"owenmark, Daniel Str\"ombergsson, Chang Liu, Marcus Liwicki, Fredrik Sandin
https://arxiv.org/abs/2506.09247

Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation
Condition monitoring (CM) plays a crucial role in ensuring reliability and efficiency in the process industry. Although computerised maintenance systems effectively detect and classify faults, tasks like fault severity estimation, and maintenance decisions still largely depend on human expert analysis. The analysis and decision making automatically performed by current systems typically exhibit considerable uncertainty and high false alarm rates, leading to increased workload and reduced effici…

Biden Says He Made the Clemency Decisions That Were Recorded With Autopen (New York Times)
https://www.nytimes.com/2025/07/13/us/politics/biden-pardon-autopen-trump.html
http://www.memeorandum.com/250713/p57#a250713p57

"You’re one step away from becoming an analytics leader for the digital age.
Northeastern University’s Master of Professional Studies in Analytics program provides in-demand skills, resumé-building experiences, and flexible learning options so you can help organizations make better data-driven decisions."
dear #LinkedIn , I am 80 yrs old. And you are

Collaborative Trustworthiness for Good Decision Making in Autonomous Systems
Selma Saidi, Omar Laimona, Christoph Schmickler, Dirk Ziegenbein
https://arxiv.org/abs/2507.11135

Collaborative Trustworthiness for Good Decision Making in Autonomous Systems
Autonomous systems are becoming an integral part of many application domains, like in the mobility sector. However, ensuring their safe and correct behaviour in dynamic and complex environments remains a significant challenge, where systems should autonomously make decisions e.g., about manoeuvring. We propose in this paper a general collaborative approach for increasing the level of trustworthiness in the environment of operation and improve reliability and good decision making in autonomous s…

Projected Gradient Descent for Constrained Decision-Dependent Optimization
Zifan Wang, Changxin Liu, Thomas Parisini, Michael M. Zavlanos, Karl H. Johansson
https://arxiv.org/abs/2508.08856

Projected Gradient Descent for Constrained Decision-Dependent Optimization
This paper considers the decision-dependent optimization problem, where the data distributions react in response to decisions affecting both the objective function and linear constraints. We propose a new method termed repeated projected gradient descent (RPGD), which iteratively projects points onto evolving feasible sets throughout the optimization process. To analyze the impact of varying projection sets, we show a Lipschitz continuity property of projections onto varying sets with an explic…

Making Effective Decisions: Machine Learning and the Ecogame in 1970
Catherine Mason
https://arxiv.org/abs/2508.07027 https://arxiv.org/pdf/2508.07027

Making Effective Decisions: Machine Learning and the Ecogame in 1970
This paper considers Ecogame, an innovative art project of 1970, whose creators believed in a positive vision of a technological future; an understanding, posited on cybernetics, of a future that could be participatory via digital means, and therefore more democratised. Using simulation and early machine learning techniques over a live network, Ecogame combined the power of visual art with cybernetic concepts of adaptation, feedback, and control to propose that behaviour had implications for th…

Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards
Ryan Piansky, Daniel K. Molzahn, Nicole D. Jackson, J. Kyle Skolfield
https://arxiv.org/abs/2506.06575

Evaluating Undergrounding Decisions for Wildfire Ignition Risk Mitigation across Multiple Hazards
With electric power infrastructure increasingly susceptible to impacts from climate-driven natural disasters, there is an increasing need for optimization algorithms that determine where to harden the power grid. Prior work has primarily developed optimal hardening approaches for specific acute disaster scenarios. Given the extensive costs of hardening the grid, it is important to understand how a particular set of resilience investments will perform under multiple types of natural hazards. Usi…

🇺🇦 Auf radioeins läuft...
The Strokes:
🎵 Bad decisions
#NowPlaying #TheStrokes
https://hotelofthelaughingtree.bandcamp.com/track/bad-decisions-the-strokes
https://open.spotify.com/track/55N8cxpE1QDoeaaNqUnoZ2

Just learned about NYC Local Law 144 which requires bias audits for hiring decisions
https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page
(From younger, more principled brother; happy birthday dkg!)
I am really interes…

Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow
Xiao Wang, Junru Yu, Jun Huang, Qiong Wu, Ljubo Vacic, Changyin Sun
https://arxiv.org/abs/2506.14502

Toward Safety-First Human-Like Decision Making for Autonomous Vehicles in Time-Varying Traffic Flow
Despite the recent advancements in artificial intelligence technologies have shown great potential in improving transport efficiency and safety, autonomous vehicles(AVs) still face great challenge of driving in time-varying traffic flow, especially in dense and interactive situations. Meanwhile, human have free wills and usually do not make the same decisions even situate in the exactly same scenarios, leading to the data-driven methods suffer from poor migratability and high search cost proble…

Raiders Have to Prove They Made the Right Decisions https://www.si.com/nfl/raiders/las-vegas-john-spytek-geno-smith-pete-carroll

3 Dallas Cowboys players entering training camp on the chopping block https://www.si.com/nfl/cowboys/news/3-dallas-cowboys-players-entering-training-camp-on-the-chopping-block

We’re joined by a mother-daughter duo from Louisiana’s “Cancer Alley.”
Roishetta and Kamea Ozane are part of a group of environmental activists on a national tour
to confront the financial backers of destructive natural gas projects that have devastated their community.
The “Toxic Billionaire Tour” is targeting the offices of major banks and the homes of executives,
who “sit here in New York and in offices in D.C. [and] make decisions for our community,
decision…

“Toxic Air”: Meet the Mother-Daughter Duo Fighting Pollution in Louisiana’s “Cancer Alley”
We’re joined by a mother-daughter duo from Louisiana’s “Cancer Alley.” Roishetta and Kamea Ozane are part of a group of environmental activists on a national tour to confront the financial backers of destructive natural gas projects that have devastated their community. The “Toxic Billionaire Tour” is targeting the offices of major banks and the homes of executives, who “sit here in New York and in offices in D.C. [and] make decisions for our community, decisions that are killing …

Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms
Hangcheng Zhao, Ron Berman
https://arxiv.org/abs/2508.08325 https://arxiv.org/pdf/…

Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms
Online sellers have been adopting AI learning algorithms to automatically make product pricing and advertising decisions on e-commerce platforms. When sellers compete using such algorithms, one concern is that of tacit collusion - the algorithms learn to coordinate on higher than competitive. We empirically investigate whether these concerns are valid when sellers make pricing and advertising decisions together, i.e., two-dimensional decisions. Our empirical strategy is to analyze competition w…

Studies suggest AI chatbots' sycophantic design may increase narcissism among young and vulnerable users, potentially altering personality traits at scale (Derek Thompson)
https://www.derekthompson.org/p/ai-will-create-a-social-crisis-long

The Looming Social Crisis of AI Friends and Chatbot Therapists
"I can imagine a future where a lot of people really trust ChatGPT’s advice for their most important decisions," Sam Altman said. "Although that could be great, it makes me uneasy." Me too, Sam.

Don’t start with your most emotionally charged items. Don’t start with your difficult items or your most expensive items to make decisions about. Start with low stakes things. https://www.overcomecompulsivehoarding.co.uk/podcast-ep-188-decision-making…

Does fertility affect woman's labor force participation in low- and middle-income settings? Findings from a Bayesian nonparametric analysis
Lucas Godoy Garraza, Leontine Alkema
https://arxiv.org/abs/2508.10787

Does fertility affect woman's labor force participation in low- and middle-income settings? Findings from a Bayesian nonparametric analysis
Estimating the causal effect of fertility on women's employment is challenging because fertility and labor decisions are jointly determined. The difficulty is amplified in low- and middle-income countries, where longitudinal data are scarce. In this study, we propose a novel approach to estimating the causal effect of fertility on employment using widely available Demographic and Health Survey (DHS) observational data. Using infecundity as an instrument for family size, our approach combines pr…

Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges
Mahdi Dhaini, Tobias M\"uller, Roksoliana Rabets, Gjergji Kasneci
https://arxiv.org/abs/2508.09786

Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and Challenges
The field of explainable natural language processing (NLP) has grown rapidly in recent years. The growing opacity of complex models calls for transparency and explanations of their decisions, which is crucial to understand their reasoning and facilitate deployment, especially in high-stakes environments. Despite increasing attention given to explainable NLP, practitioners' perspectives regarding its practical adoption and effectiveness remain underexplored. This paper addresses this research ga…

Envisioning Generative Artificial Intelligence in Cartography and Mapmaking
Yuhao Kang, Chenglong Wang
https://arxiv.org/abs/2508.09028 https://arxiv.org/p…

Envisioning Generative Artificial Intelligence in Cartography and Mapmaking
Generative artificial intelligence (GenAI), including large language models, diffusion-based image generation models, and GenAI agents, has provided new opportunities for advancements in mapping and cartography. Due to their characteristics including world knowledge and generalizability, artistic style and creativity, and multimodal integration, we envision that GenAI may benefit a variety of cartographic design decisions, from mapmaking (e.g., conceptualization, data preparation, map design, a…

I have nothing against my boss, but when they make critical decisions that affect my day-to-day life at work and I don't have any real influence over what shapes my workday, I like them less.
I'm not saying life is perfect, but syndicalism has taught me that we don't need rigid hierarchies to run a workplace democratically, by the workers, for the workers, and for their own benefit.
If run democratically, I can shape my own workday and workweek together with my cowork…

Tough Decisions Already Loom For New Raiders Regime Next Offseason https://raiderramble.com/2025/06/28/tough-decisions-already-loom-for-new-raiders-regime-next-offseason/

Trump is taking decisive steps to crush administrative safeguards and preempt legal challenges,
allowing his administration to rapidly consolidate a surveillance state with diminished privacy rights.
Aided by recent Supreme Court decisions, Republican lawmakers, and quickly eroding due process rights,
the administration is ensuring that the data and sensitive information of each person in the U.S. can be used against them.

The growing surveillance state in the U.S. is far worse than you imagined
Through legal loopholes, executive orders, and shady contracts, the Trump administration crushes safeguards protecting against surveillance

"this administration isn't so much focused on countering adversaries overseas as it is in a series of loyalty purges from within. We just heard those horrifying statistics about FEMA and not only the vacancies there, but the idea that the secretary of Homeland Security would want to be personally signing off on minor decisions because they don't trust federal government employees."
Marco Rubio accused of major 'own goal' after comment about mass firings - Raw Story
https://www.rawstory.com/rubio-firings-own-goal/

HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation
Yan Ting Chok, Soyon Park, Seungheun Baek, Hajung Kim, Junhyun Lee, Jaewoo Kang
https://arxiv.org/abs/2508.10425

HiRef: Leveraging Hierarchical Ontology and Network Refinement for Robust Medication Recommendation
Medication recommendation is a crucial task for assisting physicians in making timely decisions from longitudinal patient medical records. However, real-world EHR data present significant challenges due to the presence of rarely observed medical entities and incomplete records that may not fully capture the clinical ground truth. While data-driven models trained on longitudinal Electronic Health Records often achieve strong empirical performance, they struggle to generalize under missing or nov…

Comparative Model Fidelity Evaluation to Support Design Decisions for Complex, Novel Systems of Systems
Edward Louis, Gregory Mocko, Evan Taylor
https://arxiv.org/abs/2508.02456

Comparative Model Fidelity Evaluation to Support Design Decisions for Complex, Novel Systems of Systems
Systems design processes are increasingly reliant on simulation models to inform design decisions. A pervasive issue within the systems engineering community is trusting in the models used to make decisions about complex systems. This work presents a method of evaluating the trustworthiness of a model to provide utility to a designer making a decision within a design process. Trusting the results of a model is especially important in design processes where the system is complex, novel, or displ…

This https://arxiv.org/abs/2506.04047 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

On Support Samples of Next Word Prediction
Language models excel in various tasks by making complex decisions, yet understanding the rationale behind these decisions remains a challenge. This paper investigates \emph{data-centric interpretability} in language models, focusing on the next-word prediction task. Using representer theorem, we identify two types of \emph{support samples}-those that either promote or deter specific predictions. Our findings reveal that being a support sample is an intrinsic property, predictable even before t…

I’ve realized I actually enjoy working. What really frustrates me is that the big decisions about my day are made by people who have never even been on my shop floor. On top of that, the things I help make don’t even go to my own community, which just makes it feel even more disconnected.
Honestly, I’d get a lot more satisfaction from my job if we could run things democratically and see our work benefit the people around us. There’s a real sense of pride in building something for your …

Not making decisions does not lead us to a life of perfect comfort and perfect certainty. It creates more and more and more problems for us. https://www.overcomecompulsivehoarding.co.uk/podcast-ep-188-decision-making-hoarding-disorder/

Parenthood Penalty in Russia: Evidence from Exogenous Variation in Family Size
Vadim Ustyuzhanin
https://arxiv.org/abs/2506.11858 https://

Parenthood Penalty in Russia: Evidence from Exogenous Variation in Family Size
The present study aimed to improve upon the existing correlational literature on the parenthood penalty in Russia. An instrumental variables approach based on sibling sex composition and multiple births was employed alongside difference-in-differences designs to analyze rich census and longitudinal datasets. To the best of the authors' knowledge, this is the first study to provide causal estimates of the effect of fertility decisions on subsequent labor market outcomes for mothers and fathers i…

Measuring Semantic Information Production in Generative Diffusion Models
Florian Handke, F\'elix Koulischer, Gabriel Raya, Luca Ambrogioni
https://arxiv.org/abs/2506.10433

Measuring Semantic Information Production in Generative Diffusion Models
It is well known that semantic and structural features of the generated images emerge at different times during the reverse dynamics of diffusion, a phenomenon that has been connected to physical phase transitions in magnets and other materials. In this paper, we introduce a general information-theoretic approach to measure when these class-semantic "decisions" are made during the generative process. By using an online formula for the optimal Bayesian classifier, we estimate the conditional ent…

Clean books and big decisions: Cowboys at a fork in the road with roster https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/07/31/clean-books-big-decisions-dallas-cowboys-fork-2025/85464638007/

STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports
Tegan McCaslin, Jide Alaga, Samira Nedungadi, Seth Donoughe, Tom Reed, Rishi Bommasani, Chris Painter, Luca Righetti
https://arxiv.org/abs/2508.09853

STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports
Evaluations of dangerous AI capabilities are important for managing catastrophic risks. Public transparency into these evaluations - including what they test, how they are conducted, and how their results inform decisions - is crucial for building trust in AI development. We propose STREAM (A Standard for Transparently Reporting Evaluations in AI Model Reports), a standard to improve how model reports disclose evaluation results, initially focusing on chemical and biological (ChemBio) benchmark…

Corporate Deal Making Made Easy: Just Give Donald Trump Personal Power To Approve All Strategic Decisions (Mike Masnick/Techdirt)
https://www.techdirt.com/2025/06/25/corporate-deal-making-made-easy-just-give-donald-trump-personal-power-to-approve-all-strategic-decisions/
http://www.memeorandum.com/250626/p4#a250626p4

Some people I know in real life will not even read a basic Wikipedia article, and it shows.
Even just the surface level will tell you anarcho‑syndicalism is rooted in worker self‑management, democratic participation, and organizations run by their own members. That is the core, no bosses, no central authority, just the people who do the work making the decisions together.
That is why I am drawn to it and to any group built on the same principles. When someone calls anarcho‑syndic…

Marines are highly trained in combat and crisis response, with time in conflict zones like Syria and Afghanistan.
But that is starkly different from the role they will face now:
They could potentially be hit by L A hipsters carrying gas canisters and have to quickly decide how to respond
or face decisions about protecting an immigration enforcement agent from crowds.

Pentagon draws up rules for Marines deployed to LA protests
The Pentagon is scrambling to establish rules to guide U.S. Marines who could be faced with the rare and difficult prospect of using force against citizens on American soil, now that the Trump administration is deploying active duty troops to the immigration raid protests in Los Angeles. U.S. Northern Command said Monday that it's sending 700 Marines into the Los Angeles area to protect federal property and personnel. A U.S. official says troops will be armed with their normal service weapons b…

Micah Parsons: The 2 contract negotiations that could drive up his price https://insidethestar.com/micah-parsons-the-2-contract-negotiations-that-could-drive-up-his-price

With fewer than 900 American students in China at a time of unprecedented bilateral tensions,
Chinese classmates continually ask her to explain President Donald Trump’s decisions,
while American friends and family ask her to translate the intricacies of Chinese politics.
https://www.

American students in China face a barrage of questions about Trump
The number of U.S. students in China has plummeted, but those who are there now say it’s more important than ever for Americans to understand the country.