Tootfinder

Raiders Projected to Post Most Improved Offense Led by Two Stars https://heavy.com/sports/nfl/las-vegas-raiders/two-predicted-major-roles-improved-offense/?adt_ei=[email]

messal_shale: Messel Shale food web (2014)
A network of feeling links among taxa based on the 48 million years old uppermost early Eocene Messel Shale. Edge property 'certainty' denotes the certainty of the edge. Metadata include evidence, habitat, and trophic roles. The edge direction goes from consumer to resource.
This network has 700 nodes and 6444 edges.
Tags: Biological, Food Web, Uncertain, Weighted, Metadata

Jet precession in gamma-ray bursts: The roles of fallback accretion and disk dynamics
Yun-Peng Li, Da-Bin Lin, Guo-Yu Li, En-Wei Liang
https://arxiv.org/abs/2506.22043

Jet precession in gamma-ray bursts: The roles of fallback accretion and disk dynamics
The precession phenomenon of the jet in a gamma-ray burst (GRB) is a key probe of the physics of the central engine. Previous studies generally assumed a fixed precession period when analysing the temporal profiles in GRBs; however, the dynamic evolution of the fallback process and accretion disk can significantly affect the precession behaviour. In this work we present a jet precession model that incorporates the co-evolution of fallback accretion and the central black hole (BH). Our model dem…

“Mission Impossible - Accessibility Job Roles”
https://www.craigabbott.co.uk/blog/mission-impossible-accessibility-job-roles/
@…

Mission Impossible - Accessibility Job Roles
Analysis of a bloated and impossible job advert for accessibility.

messal_shale: Messel Shale food web (2014)
A network of feeling links among taxa based on the 48 million years old uppermost early Eocene Messel Shale. Edge property 'certainty' denotes the certainty of the edge. Metadata include evidence, habitat, and trophic roles. The edge direction goes from consumer to resource.
This network has 700 nodes and 6444 edges.
Tags: Biological, Food Web, Uncertain, Weighted, Metadata

Beyond pay: AI skills reward more job benefits
Fabian Stephany, Alejandra Mira, Matthew Bone
https://arxiv.org/abs/2507.20410 https://arxiv.org/pdf/2507.20…

Beyond pay: AI skills reward more job benefits
This study investigates the non-monetary rewards associated with artificial intelligence (AI) skills in the U.S. labour market. Using a dataset of approximately ten million online job vacancies from 2018 to 2024, we identify AI roles-positions requiring at least one AI-related skill-and examine the extent to which these roles offer non-monetary benefits such as tuition assistance, paid leave, health and well-being perks, parental leave, workplace culture enhancements, and remote work options. W…

"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use
Courtney Miller, Rudrajit Choudhuri, Mara Ulloa, Sankeerti Haniyur, Robert DeLine, Margaret-Anne Storey, Emerson Murphy-Hill, Christian Bird, Jenna L. Butler
https://arxiv.org/abs/2507.21280

"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use
Despite the widespread availability of generative AI tools in software engineering, developer adoption remains uneven. This unevenness is problematic because it hampers productivity efforts, frustrates management's expectations, and creates uncertainty around the future roles of developers. Through paired interviews with 54 developers across 27 teams -- one frequent and one infrequent user per team -- we demonstrate that differences in usage result primarily from how developers perceive the too…

Fortune laid off its European editorial team, including Executive Editor Alex Wood Morton; the layoffs took place before its 10% global workforce cut on July 21 (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/news/fortune-…

Fortune Europe editorial team made redundant but new roles being created
The London-based editorial team focused on Europe set up by Fortune last year has been made redundant amid a strategy pivot.

2025 NFL training camp: Anthony Richardson, Travis Etienne among veterans who could lose starting roles https://www.nfl.com/news/2025-nfl-training-camp-anthony-richardson-travis-etienne-among-veterans-who-could-lose-sta…

Passive cell body plays active roles in microalgal swimming via nonreciprocal interactions
Xiaoping Hu, Zhaorong Liu, Da Wei, Shiyuan Hu
https://arxiv.org/abs/2507.19152 https:/…

Passive cell body plays active roles in microalgal swimming via nonreciprocal interactions
The cell body of flagellated microalgae is commonly considered to act merely as a passive load during swimming, and a larger body size would simply reduce the speed. In this work, we use numerical simulations based on a boundary element method to investigate the effect of body-flagella hydrodynamic interactions (HIs) on the swimming performance of the biflagellate, \textit{C. reinhardtii}. We find that body-flagella HIs significantly enhance the swimming speed and efficiency. As the body size i…

Existence and uniqueness results of unsteady reactive flows in porous media
Pankaj Roy, Satyajit Pramanik
https://arxiv.org/abs/2506.22225 https://

Existence and uniqueness results of unsteady reactive flows in porous media
Miscible reactive flows in porous media play crucial roles in many engineering and industrial applications. In this work, we establish several results regarding the existence and uniqueness of solutions for a system of time-dependent, nonlinear partial differential equations that describe the flow and transport of miscible reactive fluids with variable viscosity in heterogeneous porous media with variable permeability. Fluid flow is modelled via the unsteady Darcy-Brinkman equation with Kortewe…

Cool Gas in the Circumgalactic Medium of Massive Post Starburst Galaxies
Zoe Harvey, Sahyadri Krishna, Vivienne Wild, Rita Tojeiro, Paul Hewett
https://arxiv.org/abs/2506.22287

Cool Gas in the Circumgalactic Medium of Massive Post Starburst Galaxies
Observing the interplay between galaxies and their gaseous surroundings is crucial for understanding how galaxies form and evolve, including the roles of long-lived cool gas reservoirs, starburst and AGN driven outflows. We use stacked Mg II absorption lines in the spectra of background quasars to study the cool gas out to 9Mpc from massive quiescent, star-forming and post-starburst galaxies with stellar masses $\log_{10}(M_{\mathrm{gal}}/M_\odot) \gtrsim 11.4$ and $0.4 \lesssim z \lesssim 0.8$…

Treasury sanctions fake IT worker scheme that funds DPRK weapons programs
https://home.treasury.gov/news/press-releases/sb0230

Treasury Sanctions Fraud Network Funding DPRK Weapons Programs
Network’s Scheme Harms American BusinessesWASHINGTON — Today, the U.S. Department of the Treasury’s Office of Foreign Assets Control (OFAC) sanctioned Vitaliy Sergeyevich Andreyev, Kim Ung Sun, Shenyang Geumpungri Network Technology Co., Ltd, and Korea Sinjin Trading Corporation for their roles in a fraudulent information technology (IT) worker scheme orchestrated by the Democratic People’s Republic of Korea (DPRK) government. “The North Korean regime continues to target American b…

Single-Trajectory Bayesian Modeling Reveals Multi-State Diffusion of the MSH Sliding Clamp
Seongyu Park, Inho Yang, Jinseob Lee, Sinwoo Kim, Juana Mart\'in-L\'opez, Richard Fishel, Jong-Bong Lee, Jae-Hyung Jeon
https://arxiv.org/abs/2506.21943

Single-Trajectory Bayesian Modeling Reveals Multi-State Diffusion of the MSH Sliding Clamp
DNA mismatch repair (MMR) is the essential mechanism for preserving genomic integrity in various living organisms. In this process, MutS homologs (MSH) play crucial roles in identifying mismatched basepairs and recruiting downstream MMR proteins. The MSH protein exhibits distinct functions and diffusion dynamics before and after the recognition of mismatches while traversing along DNA. An ADP-bound MSH, known as the MSH searching clamp, scans DNA sequences via rotational diffusion along the DNA…

Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
Pedro Henrique Luz de Araujo, Paul R\"ottger, Dirk Hovy, Benjamin Roth
https://arxiv.org/abs/2508.19764

Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance
Expert persona prompting -- assigning roles such as expert in math to language models -- is widely used for task improvement. However, prior work shows mixed results on its effectiveness, and does not consider when and why personas should improve performance. We analyze the literature on persona prompting for task improvement and distill three desiderata: 1) performance advantage of expert personas, 2) robustness to irrelevant persona attributes, and 3) fidelity to persona attributes. We then e…

Subspace-Protected Topological Phases and Bulk-Boundary Correspondence
Kenji Shimomura, Ryo Takami, Daichi Nakamura, Masatoshi Sato
https://arxiv.org/abs/2508.20908 https://

Subspace-Protected Topological Phases and Bulk-Boundary Correspondence
While tremendous research has revealed that symmetry enriches topological phases of matter, more general principles that protect topological phases have yet to be explored. In this Letter, we elucidate the roles of subspaces in free-fermionic topological phases. A subspace property for Hamiltonians enables us to define new topological invariants. They result in peculiar topological boundary phenomena, i.e., the emergence of an unpaired zero mode or zero-winding skin modes, characterizing subspa…

Condensate-mediated dimerization of impurities in atomic BECs
Hoshu Hiyane, Thom\'as Fogarty, Jose Carlos Pelayo, Thomas Busch
https://arxiv.org/abs/2507.21972 https://

Condensate-mediated dimerization of impurities in atomic BECs
We show that strongly correlated impurities confined in an optical lattice can form localized, molecule-like dimer states in the presence of a Bose-Einstein condensate (BEC). By systematically studying the effect of the lattice potential on this mixture, we reveal the two roles of the condensate in assisting the formation of dimerized impurities: mediating the attractive interaction among impurities and rescaling the lattice potential of impurities. At strong coupling between the impurities and…

So I had this terrible idea a few years ago to write some infrastructure automation that provisions a new compute instance, sets up secrets storage, configures IAM roles, authorizes the new instance to be able to provision new instance and roles via infra-as-code automation, and then the new instance tears down the instance and roles that created it, before then creating its own new compute instance, etc
Like a self-propagating glider in Conway's Game of Life, except with cloud inf…

Bumble plans to cut 30% of its workforce, or about 240 roles, and invest the ~$40M saved annually into new product and tech development; BMBL rises 20% (Samantha Subin/CNBC)
https://www.cnbc.com/2025/06/25/bumble-layoffs.html

Bumble jumps 26% as dating company plans to axe 30% of workforce
Founder Whitney Wolfe Herd, who stepped down as CEO at the beginning of 2024, returned to the role earlier this year.

Learning to Align Human Code Preferences
Xin Yin, Chao Ni, Liushan Chen, Xiaohu Yang
https://arxiv.org/abs/2507.20109 https://arxiv.org/pdf/2507.20109

Learning to Align Human Code Preferences
Large Language Models (LLMs) have demonstrated remarkable potential in automating software development tasks. While recent advances leverage Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) to align models with human preferences, the optimal training strategy remains unclear across diverse code preference scenarios. This paper systematically investigates the roles of SFT and DPO in aligning LLMs with different code preferences. Through both theoretical analysis and empirica…

Grr @ Creativepool notifying me of remote roles that require me to be in a country that I don't live in!

"The Librarian Skillset and the Needs of Artificial Intelligence"
https://doi.org/10.1080/01639374.2025.2539787
"New roles in AI are emerging throughout Industry, Academia, and Government. From responsible AI management to AI systems engineering, these roles requi…

An explosive new whistleblower disclosure released Tuesday
alleges that, in his current position as a senior official in the Department of Justice (DOJ),
Emil Bove is willing to ignore federal law to give Trump what he wants.
https://popular.info/p/is-emil-bove-th

Is Emil Bove the most unethical judicial nominee in modern history?
President Trump nominated Emil Bove, his former personal attorney, to be a federal judge on the 3rd Circuit Court of Appeals — one of the most powerful judicial roles in the country.

Atomic-Scale Heterogeneity of Hydrogen in Metal Hydrides Revealed by Electron Ptychography
Pengcheng Li, Chenglin Pua, Zehao Dong, Zhengxiong Su, Tao Liu, Chao Cai, Huahai Shen, Lin Gu, Zhen Chen
https://arxiv.org/abs/2507.18906

Atomic-Scale Heterogeneity of Hydrogen in Metal Hydrides Revealed by Electron Ptychography
Hydrogen plays critical roles in materials science, particularly for advancing technologies in hydrogen storage and phase manipulation, while also posing challenges like hydrogen embrittlement. Understanding its behavior, vital for improving material properties, requires precise determination of atomic-scale distribution-a persistent challenge due to hydrogen's weak electron scattering and high mobility, as well as the limitations of conventional transmission electron microscopy. We demonstrate…

The Legend of Vox Machina Staffel 4 kommt nächstes Jahr und eine finale Staffel 5 bereits bestellt
(Spoiler für Staffel 3, 4 und 5 im letzten Absatz bei EnWorld)
https://www.enworld.org/threads/critical-roles-the-legen…

Controlling the $\mathcal{PT}$ Symmetry Breaking Threshold in Bipartite Lattice Systems with Floquet Topological Edge States
Xinguang Li, Hongzheng Wu, Yangchun Zhao, Jinpeng Xiao, Yu Guo, Lei Li, Yajiang Chen, Xiaobing Luo
https://arxiv.org/abs/2508.18931

Controlling the $\mathcal{PT}$ Symmetry Breaking Threshold in Bipartite Lattice Systems with Floquet Topological Edge States
We investigate the control of the parity-time ($\mathcal{PT}$)-symmetry breaking threshold in a periodically driven one-dimensional dimerized lattice with spatially symmetric gain and loss defects. We elucidate the contrasting roles played by Floquet topological edge states in determining the $\mathcal{PT}$ symmetry breaking threshold within the high- and low-frequency driving regimes. In the high-frequency regime, the participation of topological edge states in $\mathcal{PT}$ symmetry breaking…

Using PyBioNetFit to Leverage Qualitative and Quantitative Data in Biological Model Parameterization and Uncertainty Quantification
Ely F. Miller, Abhishek Mallela, Jacob Neumann, Yen Ting Lin, William S. Hlavacek, Richard G. Posner
https://arxiv.org/abs/2508.19420

Using PyBioNetFit to Leverage Qualitative and Quantitative Data in Biological Model Parameterization and Uncertainty Quantification
Data generated in studies of cellular regulatory systems are often qualitative. For example, measurements of signaling readouts in the presence and absence of mutations may reveal a rank ordering of responses across conditions but not the precise extents of mutation-induced differences. Qualitative data are often ignored by mathematical modelers or are considered in an ad hoc manner, as in the study of Kocieniewski and Lipniacki (2013) [Phys Biol 10: 035006], which was focused on the roles of M…

An isolated early-type dwarf galaxy that ran away from the group environment
Sanjaya Paudel, Cristiano G. Sabiu, Suk-Jin Yoon, Patrick R. Durrell, Nau Raj Pokhrel
https://arxiv.org/abs/2508.20459

An isolated early-type dwarf galaxy that ran away from the group environment
Understanding the quenching mechanisms in dwarf galaxies is crucial for constraining models of galaxy formation and evolution. In this vein, isolated dwarf galaxies offer valuable insight by helping disentangle the relative roles of internal and environmental processes in shutting down star formation. Here we report the discovery of a quiescent early-type dwarf galaxy (dE), SDSS J011754.86+095819.0 (hereafter dE01+09), located in a nearly isolated environment at a projected distance of approxim…

Inside Ukraine's recent government reshuffle, where old ministers take new roles: https://benborges.xyz/2025/07/17/inside-ukraines-recent-government-reshuffle.html

Mean-Field Stochastic Linear-Quadratic Optimal Controls: Roles of Expectation and Conditional Expectation Operators
Hanxiao Wang, Jiongmin Yong
https://arxiv.org/abs/2507.16582

Mean-Field Stochastic Linear-Quadratic Optimal Controls: Roles of Expectation and Conditional Expectation Operators
This paper investigates a mean-field linear-quadratic optimal control problem where the state dynamics and cost functional incorporate both expectation and conditional expectation terms. We explicitly derive the pre-committed, na\"ıve, and equilibrium solutions and establish the well-posedness of the associated Riccati equations. This reveals how the expectation and conditional expectation operators influence time-consistency.

XR Offloading Across Multiple Time Scales: The Roles of Power, Temperature, and Energy
Francesco Malandrino, Olga Chukhno, Alessandro Catania, Antonella Molinaro, Carla Fabiana Chiasserini
https://arxiv.org/abs/2506.18584

XR Offloading Across Multiple Time Scales: The Roles of Power, Temperature, and Energy
Extended reality (XR) devices, commonly known as wearables, must handle significant computational loads under tight latency constraints. To meet these demands, they rely on a combination of on-device processing and edge offloading. This letter focuses on offloading strategies for wearables by considering their impact across three time scales: instantaneous power consumption, short-term temperature fluctuations, and long-term battery duration. We introduce a comprehensive system model that captu…

PRZK-Bind: A Physically Rooted Zero-Knowledge Authentication Protocol for Secure Digital Twin Binding in Smart Cities
Yagmur Yigit, Mehmet Ali Erturk, Kerem Gursu, Berk Canberk
https://arxiv.org/abs/2508.17913

PRZK-Bind: A Physically Rooted Zero-Knowledge Authentication Protocol for Secure Digital Twin Binding in Smart Cities
Digital twin (DT) technology is rapidly becoming essential for smart city ecosystems, enabling real-time synchronisation and autonomous decision-making across physical and digital domains. However, as DTs take active roles in control loops, securely binding them to their physical counterparts in dynamic and adversarial environments remains a significant challenge. Existing authentication solutions either rely on static trust models, require centralised authorities, or fail to provide live and v…

FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
Parker Seegmiller, Kartik Mehta, Soumya Saha, Chenyang Tao, Shereen Oraby, Arpit Gupta, Tagyoung Chung, Mohit Bansal, Nanyun Peng
https://arxiv.org/abs/2508.16514

FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline
Recent works improving LLM math reasoning with synthetic data have used unique setups, making comparison of data synthesis strategies impractical. This leaves many unanswered questions about the roles of different factors in the synthetic data pipeline, such as the impact of filtering low-quality problems. To address this gap, we introduce FLAMES, a Framework for LLM Assessment of Math rEasoning Data Synthesis, and perform a systematic study of 10 existing data synthesis strategies and multiple…

"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
Sanika Moharana, Cynthia L. Bennett, Erin Buehler, Michael Madaio, Vinita Tibdewal, Shaun K. Kane
https://arxiv.org/abs/2508.16607

"Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
The rapid emergence of generative AI has changed the way that technology is designed, constructed, maintained, and evaluated. Decisions made when creating AI-powered systems may impact some users disproportionately, such as people with disabilities. In this paper, we report on an interview study with 25 AI practitioners across multiple roles (engineering, research, UX, and responsible AI) about how their work processes and artifacts may impact end users with disabilities. We found that practiti…

Barnwell picks the NFL's top luxuries: The best players at 11 specialized roles https://www.espn.com/nfl/story/_/id/45533457/nfl-luxury-players-2025-season-best-fourth-wr-backup-qb-swing-tackle-slot-cb-r…

Disordered But Rhythmic: the role of intrinsic protein disorder in eukaryotic circadian timing
Emery T. Usher, Jacqueline F. Pelham
https://arxiv.org/abs/2508.18493 https://

Disordered But Rhythmic: the role of intrinsic protein disorder in eukaryotic circadian timing
Intrinsically disordered protein regions (IDRs) are found across all domains of life and are characterized by a lack of stable 3D structure. Nevertheless, IDRs play critical roles in the most tightly regulated cellular processes, including in the core circadian clock. The molecular oscillator at the heart of circadian regulation leverages IDRs as dynamic interaction modules for activation and repression to support robust timekeeping and expand clock output and regulation. Here, we cover the bio…

Constant Modulus Waveforms for IoT-Centric Integrated Sensing and Communications
Tian Han, Shalanika Dayarathna, Rajitha Senanayake, Peter Smith, Aryan Kaushik, Alain Mourad, Richard A. Stirling-Gallacher, Jamie Evans
https://arxiv.org/abs/2506.21078

Constant Modulus Waveforms for IoT-Centric Integrated Sensing and Communications
Integrated sensing and communications (ISAC) is considered a key enabler to support application scenarios such as the Internet-of-Things (IoT) in which both communications and sensing play significant roles. Multi-carrier waveforms, such as orthogonal frequency division multiplexing (OFDM), have been considered as good candidates for ISAC due to their high communications data rate and good time bandwidth property for sensing. Nevertheless, their high peak-to-average-power-ratio (PAPR) values le…

Revisiting the $\Lambda_c^ \to \Lambda \eta \pi^ $ and the roles of intermediate resonances
En Wang, Wen-Tao Lyu, Man-Yu Duan, Chu-Wen Xiao, Dian-Yong Chen, Ju-Jun Xie, Eulogio Oset
https://arxiv.org/abs/2507.13738

Revisiting the $Λ_c^+\to Ληπ^+$ and the roles of intermediate resonances
In this paper, we first review the theoretical and experimental studies of the process $Λ_c^+ \to π^+ ηΛ$. Motivated by the recent BESIII and Belle measurements, we have conducted a theoretical study of the process $Λ_c^+ \to π^+ ηΛ$, where the $a_0(980)$ and $Λ(1670)$ resonances are dynamically generated from the $S$-wave meson meson and meson baryon interaction, respectively. Our results give a reasonable description of the invariant mass distributions, which implies that the spin fl…

Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead
Jun Wu, Weijie Yuan, Xiaoqi Zhang, Yaohuan Yu, Yuanhao Cui, Fan Liu, Geng Sun, Jiacheng Wang, Dusit Niyato, Dong In Kim
https://arxiv.org/abs/2508.17354

Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead
Integrated sensing and communication (ISAC) has been envisioned as a foundational technology for future low-altitude wireless networks (LAWNs), enabling real-time environmental perception and data exchange across aerial-ground systems. In this article, we first explore the roles of ISAC in LAWNs from both node-level and network-level perspectives. We highlight the performance gains achieved through hierarchical integration and cooperation, wherein key design trade-offs are demonstrated. Apart f…

Augmentation Technologies and AI - An Ethical Design Futures Framework
Ann Hill Duin, Isabel Pedersen
https://arxiv.org/abs/2508.16615 https://arxiv.org/pd…

Augmentation Technologies and AI - An Ethical Design Futures Framework
Augmentation technologies, fueled by Artificial Intelligence (AI), are undergoing a process of adaptation and normalization geared to everyday users in various roles as practitioners, educators, and students. While new innovations, applications, and algorithms are developed as augmentation technology, Chapter 1 focuses on human subjects, contexts, and rhetorical strategies proposed for them by external actors. The chapter discusses core functions of technical and professional communication and …

Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
Alan Li, Yixin Liu, Arpan Sarkar, Doug Downey, Arman Cohan
https://arxiv.org/abs/2508.19202 ht…

Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
Scientific problem solving poses unique challenges for LLMs, requiring both deep domain knowledge and the ability to apply such knowledge through complex reasoning. While automated scientific reasoners hold great promise for assisting human scientists, there is currently no widely adopted holistic benchmark for evaluating scientific reasoning, and few approaches systematically disentangle the distinct roles of knowledge and reasoning in these tasks. To address these gaps, we introduce SciReas, …

A US federal jury gives five Nevada men varying prison sentences for their roles in running Jetflicks, one of the largest illegal TV streaming services (Jonathan Greig/The Record)
https://therecord.media/five-sentenced-for-running-piracy-streaming-site

5 Nevada men sentenced to prison for running Jetflicks pirated content site
The Justice Department said it ended “the largest internet privacy case… ever to go to trial as well as the first illegal streaming case ever to go to trial.”

Symmetries of the periodic Fredkin chain
Andrei G. Pronko
https://arxiv.org/abs/2507.18291 https://arxiv.org/pdf/2507.18291

Symmetries of the periodic Fredkin chain
Fredkin chain is a spin-$1/2$ model with interaction of three nearest neighbors. In the case of periodic boundary conditions the ground state is degenerated and can be described in terms of equivalence classes of the Dyck paths. We introduce two operators commuting with the Hamiltonian, which play the roles of lowering and raising operators when acting at the ground states. These operators generate the $B$- or $C$-type Lie algebras, depending on whether the number of sites $N$ is odd or even, r…

Gender Imbalance in Physics Education and Employment in Germany: Trends and Challenges
Ruzin Aganoglu, Andrea Bossmann, Ulrike B\"ohm, Anja Metzelthin, Agnes Sandner, Iris Traulsen, Angelica Zacarias
https://arxiv.org/abs/2506.19021

Gender Imbalance in Physics Education and Employment in Germany: Trends and Challenges
Gender imbalance among German physicists persists, with fewer women in advanced degrees and research leadership roles. Although female enrollment in Physics programs increased slightly until 2022, potentially influenced by COVID-19 the long-term trend remains uncertain. Despite the rise in female Ph.D. students and foreign representation, female professors in Physics and Astronomy stagnated below 14 %, indicating significant underrepresentation. Anticipated revisions to the WissZeitVG law may i…

A US federal jury gives five Nevada men varying prison sentences for their roles in running Jetflicks, one of the largest illegal TV streaming services (Jonathan Greig/The Record)
https://therecord.media/five-sentenced-for-running-piracy-streaming-site

5 Nevada men sentenced to prison for running Jetflicks pirated content site
The Justice Department said it ended “the largest internet privacy case… ever to go to trial as well as the first illegal streaming case ever to go to trial.”

#Banksters forced to rehire dozens of workers after realizing much vaunted #ChatBot replacement was not cutting the mustard with actual human customers
"We have apologized to the employees concerned and acknowledge we should have been more thorough in our assessment of the roles required," a bank spokes…

Temperature dependence of quasi-localized phonons-mediated non-Markovianity dynamics of SiV^- centers in diamond
Wanggui Ye, Debao Zhang, Xuguang Cao, Ji Zhou, Xinye Fan, Sicheng Liu, Ke Yu, Jiqiang Ning, Shijie Xu
https://arxiv.org/abs/2506.19317

Temperature dependence of quasi-localized phonons-mediated non-Markovianity dynamics of SiV^- centers in diamond
Here we investigate the temperature-dependent non-Markovian dynamics of the SiV^- center in diamond, focusing on the roles of low- and high-frequency quasi-localized phonon modes. Low-frequency phonons exhibit stronger electron-phonon coupling, leading to long-lived dephasing rate, while high-frequency phonons induce rapid attenuation of oscillatory dephasing rate facilitating a persistent memory effect. The non-Markovianity measure N_C shows memory effects persisting at low temperatures but di…

Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots
Boyu Qiao, Kun Li, Wei Zhou, Songlin Hu
https://arxiv.org/abs/2507.16848 https://…

Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots
In the human-bot symbiotic information ecosystem, social bots play key roles in spreading and correcting disinformation. Understanding their influence is essential for risk control and better governance. However, current studies often rely on simplistic user and network modeling, overlook the dynamic behavior of bots, and lack quantitative evaluation of correction strategies. To fill these gaps, we propose MADD, a Multi Agent based framework for Disinformation Dissemination. MADD constructs a m…

Seems a part of what @… warns of...
SLASHDOT: Silicon Valley Execs Join the Army As Officers
https://tech.slashdot.org/story/25/06/

Silicon Valley Execs Join the Army As Officers - Slashdot
The U.S. Army Reserve has directly commissioned four top Silicon Valley executives as lieutenant colonels under a new initiative, Detachment 201, aimed at accelerating tech integration into military operations. While these part-time roles are intended to bring private-sector innovation to defense mo...

Modular Multiparty Sessions with Mixed Choice
Franco Barbanera (DMI - University of Catania), Mariangiola Dezani-Ciancaglini (DI- University of Torino)
https://arxiv.org/abs/2508.13616

Modular Multiparty Sessions with Mixed Choice
MultiParty Session Types (MPST) provide a useful framework for safe concurrent systems. Mixed choice (enabling a participant to play at the same time the roles of sender and receiver) increases the expressive power of MPST as well as the difficulty in controlling safety of communications. Such a control is more viable when modular systems are considered and the power of mixed choice fully exploited only inside loosely coupled modules. We carry over such idea in a type assignment approach to mul…

Visual Analytics for Causal Reasoning from Real-World Health Data
Arran Zeyu Wang, David Borland, David Gotz
https://arxiv.org/abs/2508.17474 https://arxiv…

Visual Analytics for Causal Reasoning from Real-World Health Data
The increasing capture and analysis of large-scale longitudinal health data offer opportunities to improve healthcare and advance medical understanding. However, a critical gap exists between (a) -- the observation of patterns and correlations, versus (b) -- the understanding of true causal mechanisms that drive outcomes. An accurate understanding of the underlying mechanisms that cause various changes in medical status is crucial for decision-makers across various healthcare domains and roles,…

Dynatune: Dynamic Tuning of Raft Election Parameters Using Network Measurement
Kohya Shiozaki, Junya Nakamura
https://arxiv.org/abs/2507.15154 https://

Dynatune: Dynamic Tuning of Raft Election Parameters Using Network Measurement
Raft is a leader-based consensus algorithm that implements State Machine Replication (SMR), which replicates the service state across multiple servers to enhance fault tolerance. In Raft, the servers play one of three roles: leader, follower, or candidate. The leader receives client requests, determines the processing order, and replicates them to the followers. When the leader fails, the service must elect a new leader to continue processing requests, during which the service experiences an ou…

At least six states have authorized National Guard troops to assist U.S. Immigration and Customs Enforcement (ICE) in administrative and logistical roles.
https://bsky.app/profile/newsweek.com/post/3lwana4zpph2n

Large Language Models are Highly Aligned with Human Ratings of Emotional Stimuli
Mattson Ogg, Chace Ashcraft, Ritwik Bose, Raphael Norman-Tenazas, Michael Wolmetz
https://arxiv.org/abs/2508.14214

Large Language Models are Highly Aligned with Human Ratings of Emotional Stimuli
Emotions exert an immense influence over human behavior and cognition in both commonplace and high-stress tasks. Discussions of whether or how to integrate large language models (LLMs) into everyday life (e.g., acting as proxies for, or interacting with, human agents), should be informed by an understanding of how these tools evaluate emotionally loaded stimuli or situations. A model's alignment with human behavior in these cases can inform the effectiveness of LLMs for certain roles or interac…

Why AI can't possibly make you more productive; long
#AI and "productivity", some thoughts:
Edit: fixed some typos.
Productivity is a concept that isn't entirely meaningless outside the context of capitalism, but it's a concept that is heavily inflected in a capitalist context. In many uses today it effectively means "how much you can satisfy and/or exceed your boss' expectations." This is not really what it should mean: even in an anarchist utopia, people would care about things like how many shirts they can produce in a week, although in an "I'd like to voluntarily help more people" way rather than an "I need to meet this quota to earn my survival" way. But let's roll with this definition for a second, because it's almost certainly what your boss means when they say "productivity", and understanding that word in a different (even if truer) sense is therefore inherently dangerous.
Accepting "productivity" to mean "satisfying your boss' expectations," I will now claim: the use of generative AI cannot increase your productivity.
Before I dive in, it's imperative to note that the big generative models which most people think of as constituting "AI" today are evil. They are 1: pouring fuel on our burning planet, 2: psychologically strip-mining a class of data laborers who are exploited for their precarity, 3: enclosing, exploiting, and polluting the digital commons, and 4: stealing labor from broad classes of people many of whom are otherwise glad to give that labor away for free provided they get a simple acknowledgement in return. Any of these four "ethical issues" should be enough *alone* to cause everyone to simply not use the technology. These ethical issues are the reason that I do not use generative AI right now, except for in extremely extenuating circumstances. These issues are also convincing for a wide range of people I talk to, from experts to those with no computer science background. So before I launch into a critique of the effectiveness of generative AI, I want to emphasize that such a critique should be entirely unnecessary.
But back to my thesis: generative AI cannot increase your productivity, where "productivity" has been defined as "how much you can satisfy and/or exceed your boss' expectations."
Why? In fact, what the fuck? Every AI booster I've met has claimed the opposite. They've given me personal examples of time saved by using generative AI. Some of them even truly believe this. Sometimes I even believe they saved time without horribly compromising on quality (and often, your boss doesn't care about quality anyways if the lack of quality is hard to measure of doesn't seem likely to impact short-term sales/feedback/revenue). So if generative AI genuinely lets you write more emails in a shorter period of time, or close more tickets, or something else along these lines, how can I say it isn't increasing your ability to meet your boss' expectations?
The problem is simple: your boss' expectations are not a fixed target. Never have been. In virtue of being someone who oversees and pays wages to others under capitalism, your boss' game has always been: pay you less than the worth of your labor, so that they can accumulate profit and thus more capital to remain in charge instead of being forced into working for a wage themselves. Sure, there are layers of management caught in between who aren't fully in this mode, but they are irrelevant to this analysis. It matters not how much you please your manager if your CEO thinks your work is not worth the wages you are being paid. And using AI actively lowers the value of your work relative to your wages.
Why do I say that? It's actually true in several ways. The most obvious: using generative AI lowers the quality of your work, because the work it produces is shot through with errors, and when your job is reduced to proofreading slop, you are bound to tire a bit, relax your diligence, and let some mistakes through. More than you would have if you are actually doing and taking pride in the work. Examples are innumerable and frequent, from journalists to lawyers to programmers, and we laugh at them "haha how stupid to not check whether the books the AI reviewed for you actually existed!" but on a deeper level if we're honest we know we'd eventually make the same mistake ourselves (bonus game: spot the swipe-typing typos I missed in this post; I'm sure there will be some).
But using generative AI also lowers the value of your work in another much more frightening way: in this era of hype, it demonstrates to your boss that you could be replaced by AI. The more you use it, and no matter how much you can see that your human skills are really necessary to correct its mistakes, the more it appears to your boss that they should hire the AI instead of you. Or perhaps retain 10% of the people in roles like yours to manage the AI doing the other 90% of the work. Paradoxically, the *more* you get done in terms of raw output using generative AI, the more it looks to your boss as if there's an opportunity to get enough work done with even fewer expensive humans. Of course, the decision to fire you and lean more heavily into AI isn't really a good one for long-term profits and success, but the modern boss did not get where they are by considering long-term profits. By using AI, you are merely demonstrating your redundancy, and the more you get done with it, the more redundant you seem.
In fact, there's even a third dimension to this: by using generative AI, you're also providing its purveyors with invaluable training data that allows them to make it better at replacing you. It's generally quite shitty right now, but the more use it gets by competent & clever people, the better it can become at the tasks those specific people use it for. Using the currently-popular algorithm family, there are limits to this; I'm not saying it will eventually transcend the mediocrity it's entwined with. But it can absolutely go from underwhelmingly mediocre to almost-reasonably mediocre with the right training data, and data from prompting sessions is both rarer and more useful than the base datasets it's built on.
For all of these reasons, using generative AI in your job is a mistake that will likely lead to your future unemployment. To reiterate, you should already not be using it because it is evil and causes specific and inexcusable harms, but in case like so many you just don't care about those harms, I've just explained to you why for entirely selfish reasons you should not use it.
If you're in a position where your boss is forcing you to use it, my condolences. I suggest leaning into its failures instead of trying to get the most out of it, and as much as possible, showing your boss very clearly how it wastes your time and makes things slower. Also, point out the dangers of legal liability for its mistakes, and make sure your boss is aware of the degree to which any of your AI-eager coworkers are producing low-quality work that harms organizational goals.
Also, if you've read this far and aren't yet of an anarchist mindset, I encourage you to think about the implications of firing 75% of (at least the white-collar) workforce in order to make more profit while fueling the climate crisis and in most cases also propping up dictatorial figureheads in government. When *either* the AI bubble bursts *or* if the techbros get to live out the beginnings of their worker-replacement fantasies, there are going to be an unimaginable number of economically desperate people living in increasingly expensive times. I'm the kind of optimist who thinks that the resulting social crucible, though perhaps through terrible violence, will lead to deep social changes that effectively unseat from power the ultra-rich that continue to drag us all down this destructive path, and I think its worth some thinking now about what you might want the succeeding stable social configuration to look like so you can advocate towards that during points of malleability.
As others have said more eloquently, generative AI *should* be a technology that makes human lives on average easier, and it would be were it developed & controlled by humanists. The only reason that it's not, is that it's developed and controlled by terrible greedy people who use their unfairly hoarded wealth to immiserate the rest of us in order to maintain their dominance. In the long run, for our very survival, we need to depose them, and I look forward to what the term "generative AI" will mean after that finally happens.

Stable and Fair Benefit Allocation in Mixed-Energy Truck Platooning: A Coalitional Game Approach
Ting Bai, Karl Henrik Johansson, Jonas M{\aa}rtensson, Andreas A. Malikopoulos
https://arxiv.org/abs/2507.16923

Stable and Fair Benefit Allocation in Mixed-Energy Truck Platooning: A Coalitional Game Approach
This paper addresses the benefit allocation in a mixed-energy truck platoon composed of fuel-powered and electric trucks. The interactions among trucks during platoon formation are modeled as a coalitional game with transferable utility. We first design a stable payoff allocation scheme that accounts for truck heterogeneity in energy savings and platoon roles (leader or follower), establishing core-stability conditions to ensure that no subset of trucks has an incentive to deviate for greater b…

messal_shale: Messel Shale food web (2014)
A network of feeling links among taxa based on the 48 million years old uppermost early Eocene Messel Shale. Edge property 'certainty' denotes the certainty of the edge. Metadata include evidence, habitat, and trophic roles. The edge direction goes from consumer to resource.
This network has 700 nodes and 6444 edges.
Tags: Biological, Food Web, Uncertain, Weighted, Metadata

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
Palash Nandi, Maithili Joshi, Tanmoy Chakraborty
https://arxiv.org/abs/2507.13761

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
Language models are highly sensitive to prompt formulations - small changes in input can drastically alter their output. This raises a critical question: To what extent can prompt sensitivity be exploited to generate inapt content? In this paper, we investigate how discrete components of prompt design influence the generation of inappropriate content in Visual Language Models (VLMs). Specifically, we analyze the impact of three key factors on successful jailbreaks: (a) the inclusion of detailed…

AFC rookies picked after Round 1 of NFL Draft who could earn key roles in 2025: RJ Harvey among 16 sleepers

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Roles of $\bar{D}^{*}K^{*}$ and $D^*\bar{D}$ molecular sates in decay $B^ \to D^{* } D^- K^ $
Zuo-Ming Ding, Qi Huang, Jun He
https://arxiv.org/abs/2508.12686 https://

Roles of $\bar{D}^{*}K^{*}$ and $D^*\bar{D}$ molecular sates in decay $B^+ \to D^{*+} D^- K^+$
This study investigates the three-body decay process $B^+ \to D^{*+} D^- K^+$, aiming to explore the possible origins of $T^*_{\bar{c}\bar{s}0}(2870)^0$ and $χ_{c1}(3872)$ as intermediate states. Within the molecular state framework, $T^*_{\bar{c}\bar{s}0}(2870)^0$ and $χ_{c1}(3872)$ are considered as possible $\bar{D}^{*}K^{}$ and $D^*\bar{D}$ molecular states, respectively. Using effective Lagrangians, the interaction kernels of the $\bar{D}^{*}K^{*}$ and $D^*\bar{D}$ systems are constructe…

Long Coalition Leads to Shrink? The Roles of Tipping and Technology-Sharing in Climate Clubs
Lei Zhu, Zhihao Yan, Hongbo Duan, Yongyang Cai, Xiaobing Zhang
https://arxiv.org/abs/2506.16162

Long Coalition Leads to Shrink? The Roles of Tipping and Technology-Sharing in Climate Clubs
Global cooperation is posited as a pivotal solution to address climate change, yet significant barriers, like free-riding, hinder its realization. This paper develops a dynamic game-theoretic model to analyze the stability of coalitions under multiple stochastic climate tippings, and a technology-sharing mechanism is designed in the model to combat free-ridings. Our results reveal that coalitions tend to shrink over time as temperatures rise, owing to potential free-ridings, despite a large siz…

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce
Richard Timpone, Yongwei Yang
https://arxiv.org/abs/2507.11597 https://…

AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce
AI is transforming research. It is being leveraged to construct surveys, synthesize data, conduct analysis, and write summaries of the results. While the promise is to create efficiencies and increase quality, the reality is not always as clear cut. Leveraging our framework of Truth, Beauty, and Justice (TBJ) which we use to evaluate AI, machine learning and computational models for effective and ethical use (Taber and Timpone 1997; Timpone and Yang 2024), we consider the potential and limitati…

Cognitive Agents Powered by Large Language Models for Agile Software Project Management
Konrad Cinkusz, Jaros{\l}aw A. Chudziak, Ewa Niewiadomska-Szynkiewicz
https://arxiv.org/abs/2508.16678

Cognitive Agents Powered by Large Language Models for Agile Software Project Management
This paper investigates the integration of cognitive agents powered by Large Language Models (LLMs) within the Scaled Agile Framework (SAFe) to reinforce software project management. By deploying virtual agents in simulated software environments, this study explores their potential to fulfill fundamental roles in IT project development, thereby optimizing project outcomes through intelligent automation. Particular emphasis is placed on the adaptability of these agents to Agile methodologies and…

BREAKING: Ukraine appoints new special envoy to US: https://benborges.xyz/2025/07/17/breaking-ukraine-appoints-new-special.html

Our results confirm persistent gender disparities:
women are more frequently acknowledged than credited as co-authors, especially in roles involving investigation and analysis
https://arxiv.org/abs/2506.15237

Dissecting the gender divide: Authorship and acknowledgment in scientific publications
The issue of gender bias in scientific publications has been the subject of ongoing debate. One aspect of this debate concerns whether women receive equal credit for their contributions compared to men. Conventional wisdom suggests that women are more likely to be acknowledged than listed as co-authors, a role that carries greater prestige. Here, we analyze data from hundreds of thousands of scientists across nine disciplines and a broad range of publications. Our results confirm persistent gen…

Quantization of blow-up masses for the Finsler $N$-Liouville equation
Xia Huang, Yuan Li, Dong Ye, Feng Zhou
https://arxiv.org/abs/2508.16080 https://arxiv…

Quantization of blow-up masses for the Finsler $N$-Liouville equation
The quantization results for blow-up phenomena play crucial roles in the analysis of partial differential equations. Here we quantify the blow-up masses to the following Finsler $N$-Liouville equation $$-Q_{N}u_{n}=V_{n}e^{u_{n}}\quad\mbox{in}~ Ω\subset \mathbb{R}^{N}, N \ge 2.$$ Our study generalizes the classical result of Li-Shafrir [Indiana Univ. Math.J.,1994] for Liouville equation, Wang-Xia's work for anisotropic Liouville equation in $\mathbb{R}^2$ [JDE, 2012], and Esposito-Lucia's for …

crime: Rosenfeld crime network (1991)
A network of associations among suspects, victims, and/or witnesses involved in crimes in St. Louis in the 1990s. Data are derived from police records, via snowball sampling from five initial homicides. Left nodes are people, right nodes are crime events, and edges connect people to particular crimes events they were associated with. Metadata includes names, genders, and roles (suspects, victims, and/or witnesses).
This network has 1380 nodes…

NFC rookies picked after Round 1 of the NFL Draft who could earn key roles in 2025: Cowboys RB among sleepers

https://www.cbssports.com/nfl/n…

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation
Xinyi Ni, Haonan Jian, Qiuyang Wang, Vedanshi Chetan Shah, Pengyu Hong
https://arxiv.org/abs/2506.19998 …

Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation
REST APIs play important roles in enriching the action space of web agents, yet most API-based agents rely on curated and uniform toolsets that do not reflect the complexity of real-world APIs. Building tool-using agents for arbitrary domains remains a major challenge, as it requires reading unstructured API documentation, testing APIs and inferring correct parameters. We propose Doc2Agent, a scalable pipeline to build agents that can call Python-based tools generated from API documentation. Do…

Three-dimensional equation of state extension of quark matter in Fermi-liquid theory
Zhenyu Zhu, Shuai Zha, Sophia Han
https://arxiv.org/abs/2506.17569 htt…

Three-dimensional equation of state extension of quark matter in Fermi-liquid theory
The cold, dense matter equation of state (EoS) determines crucial global properties of neutron stars (NSs), including the mass, radius and tidal deformability. However, a one-dimensional (1D), cold, and $β$-equilibrated EoS is insufficient to fully describe the interactions or capture the dynamical processes of dense matter as realized in binary neutron star (BNS) mergers or core-collapse supernovae (CCSNe), where thermal and out-of-equilibrium effects play important roles. We develop a method…

crime: Rosenfeld crime network (1991)
A network of associations among suspects, victims, and/or witnesses involved in crimes in St. Louis in the 1990s. Data are derived from police records, via snowball sampling from five initial homicides. Left nodes are people, right nodes are crime events, and edges connect people to particular crimes events they were associated with. Metadata includes names, genders, and roles (suspects, victims, and/or witnesses).
This network has 1380 nodes…

ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
Mohammad Izadi, Mehran Safayani
https://arxiv.org/abs/2508.14005

ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition marked by disruptions in brain connectivity. Functional MRI (fMRI) offers a non-invasive window into large-scale neural dynamics by measuring blood-oxygen-level-dependent (BOLD) signals across the brain. These signals can be modeled as interactions among Regions of Interest (ROIs), which are grouped into functional communities based on their underlying roles in brain function. Emerging evidence suggests that connectivity p…

Multi-Domain Optimization Framework for ISAC: From Electromagnetic Shaping to Network Cooperation
Rang Liu, Ming Li, Mehdi Zafari, Bjorn Ottersten, A. Lee Swindlehurst
https://arxiv.org/abs/2506.16011

Multi-Domain Optimization Framework for ISAC: From Electromagnetic Shaping to Network Cooperation
Integrated sensing and communication (ISAC) has emerged as a key feature for sixth-generation (6G) networks, providing an opportunity to meet the dual demands of communication and sensing. Existing ISAC research primarily focuses on baseband optimization at individual access points, with limited attention to the roles of electromagnetic (EM) shaping and network-wide coordination. The intricate interdependencies between these domains remain insufficiently explored, leaving their full potential f…

Explainable AI for Collaborative Assessment of 2D/3D Registration Quality
Sue Min Cho, Alexander Do, Russell H. Taylor, Mathias Unberath
https://arxiv.org/abs/2507.17597 https:/…

Explainable AI for Collaborative Assessment of 2D/3D Registration Quality
As surgery embraces digital transformation--integrating sophisticated imaging, advanced algorithms, and robotics to support and automate complex sub-tasks--human judgment of system correctness remains a vital safeguard for patient safety. This shift introduces new "operator-type" roles tasked with verifying complex algorithmic outputs, particularly at critical junctures of the procedure, such as the intermediary check before drilling or implant placement. A prime example is 2D/3D registration, …

Sources: Anthropic has rehired Boris Cherny and Cat Wu, who developed Claude Code, just two weeks after they left for Cursor developer Anysphere (Natasha Mascarenhas/The Information)
https://www.theinformation.com/briefings/anthr…

Anthropic Hires Back Two Coding AI Leaders From Cursor Developer Anysphere 
In a surprising reversal, two leaders of Anthropic’s coding product who joined rival Anysphere two weeks ago have returned to Anthropic, according to people with direct knowledge of the move. In early July, Boris Cherny and Cat Wu left Anthropic, where they had developed a fast-growing artificial intelligence coding service, Claude Code, to join the maker of Cursor in more senior roles,

Large Language Models as Psychological Simulators: A Methodological Guide
Zhicheng Lin
https://arxiv.org/abs/2506.16702 https://arxiv…

Large Language Models as Psychological Simulators: A Methodological Guide
Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary applications: simulating roles and personas to explore diverse contexts, and serving as computational models to investigate cognitive processes. For simulation, we present methods for developing psychologically grounded personas that move beyond demographic cate…

Ethical Considerations of Large Language Models in Game Playing
Qingquan Zhang, Yuchen Li, Bo Yuan, Julian Togelius, Georgios N. Yannakakis, Jialin Liu
https://arxiv.org/abs/2508.16065

Ethical Considerations of Large Language Models in Game Playing
Large language models (LLMs) have demonstrated tremendous potential in game playing, while little attention has been paid to their ethical implications in those contexts. This work investigates and analyses the ethical considerations of applying LLMs in game playing, using Werewolf, also known as Mafia, as a case study. Gender bias, which affects game fairness and player experience, has been observed from the behaviour of LLMs. Some roles, such as the Guard and Werewolf, are more sensitive than…

Roles of SN and AGN Feedback in Shaping the Baryonic Content in a Wide Range of Dark Matter Halo Mass
Emanuele Contini, Chanjo Seo, Jinsu Rhee, Jeon Seyoung, Sukyoung K. Yi
https://arxiv.org/abs/2507.10673

Roles of SN and AGN Feedback in Shaping the Baryonic Content in a Wide Range of Dark Matter Halo Mass
We build upon FEGA25 (Contini et al 2025), a previously introduced semi-analytic model for galaxy formation and evolution, focusing on its enhanced treatment of supernova and active galactic nucleus feedback mechanisms. In addition to the traditional AGN feedback modes, negative (suppressing cooling), and the new positive mode (triggering star formation), we introduce two implementations of a third mode: the ejection of hot gas beyond the virial radius, AGNeject1 and AGNeject2. This component a…

In an internal memo, NYT's culture editor says four critics, including long-time music critic Jon Pareles, will be reassigned as the section seeks new voices (Todd Spangler/Variety)
https://variety.com/2025/tv/news/new-y

NY Times Reassigns Four Critics in Culture Desk Shake-Up
Four New York Times critics -- Margaret Lyons, Jon Pareles, Jesse Green and Zach Woolfe -- will be assigned 'new roles' as the paper changes up its culture desk coverage.

Companies, including Google and Cisco, have reinstated in-person interviews for some roles to combat AI-driven cheating, with some using deepfake detection tech (Ray A. Smith/Wall Street Journal)
https://www.wsj.com/lifestyle/careers/ai-j

Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination
Colleen V. Chien, Anna Zink, Irene Y. Chen
https://arxiv.org/abs/2508.14954

Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination
As algorithms increasingly take on critical roles in high-stakes areas such as credit scoring, housing, and employment, civil enforcement actions have emerged as a powerful tool for countering potential discrimination. These legal actions increasingly draw on algorithmic fairness research to inform questions such as how to define and detect algorithmic discrimination. However, current algorithmic fairness research, while theoretically rigorous, often fails to address the practical needs of lega…

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs
Kimia Tasnia, Alexander Garcia, Tasnuva Farheen, Sazadur Rahman
https://arxiv.org/abs/2507.14776

VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs
The rapid adoption of large language models(LLMs) in hardware design has primarily focused on generating functionally correct Verilog code, overlooking critical Power Performance-Area(PPA) metrics essential for industrial-grade designs. To bridge this gap, we propose VeriOpt, a novel framework that leverages role-based prompting and PPA-aware optimization to enable LLMs to produce high-quality, synthesizable Verilog. VeriOpt structures LLM interactions into specialized roles (e.g., Planner, Pro…

Foundation Models for Cross-Domain EEG Analysis Application: A Survey
Hongqi Li, Yitong Chen, Yujuan Wang, Weihang Ni, Haodong Zhang
https://arxiv.org/abs/2508.15716 https://

Foundation Models for Cross-Domain EEG Analysis Application: A Survey
Electroencephalography (EEG) analysis stands at the forefront of neuroscience and artificial intelligence research, where foundation models are reshaping the traditional EEG analysis paradigm by leveraging their powerful representational capacity and cross-modal generalization. However, the rapid proliferation of these techniques has led to a fragmented research landscape, characterized by diverse model roles, inconsistent architectures, and a lack of systematic categorization. To bridge this g…

Trump’s all-out assault on immigrant communities and the rule of law
escalated to new heights when federal agents beat and arrested
David Huerta, a prominent labor leader and president of the Service Employees International Union
– United Service Workers (West),
while Huerta and others were observing an ICE raid in Los Angeles, CA, on June 6.
Huerta was released from federal custody, but he is still being charged with felony conspiracy to impede an officer,

EXCLUSIVE: David Huerta, union leader beaten & arrested at ICE raid, speaks out
In his first public interview since he was beaten and arrested by federal agents in June, David Huerta, president of the Service Employees International Union - United Service Workers (West), speaks about the status of his case and the roles unions must play in the fight against fascism.

Sources: USAGM told employees of VOA's Persian-language service who were placed on administrative leave to return to their roles amid the Iran-Israel conflict (Ben Johansen/Politico)
https://www.politico.com/news/2025/06/13/voa-persian-service…

Stanford study: LLMs struggle to respond appropriately to questions about delusions, suicide, and OCD, but AI could play valuable supportive roles to therapists (Benj Edwards/Ars Technica)
https://arstechnica.com/ai/2025/07/ai-

AI therapy bots fuel delusions and give dangerous advice, Stanford study finds
Popular chatbots serve as poor replacements for human therapists, but study authors call for nuance.

EMNLP: Educator-role Moral and Normative Large Language Models Profiling
Yilin Jiang, Mingzi Zhang, Sheng Jin, Zengyi Yu, Xiangjie Kong, Binghao Tu
https://arxiv.org/abs/2508.15250

EMNLP: Educator-role Moral and Normative Large Language Models Profiling
Simulating Professions (SP) enables Large Language Models (LLMs) to emulate professional roles. However, comprehensive psychological and ethical evaluation in these contexts remains lacking. This paper introduces EMNLP, an Educator-role Moral and Normative LLMs Profiling framework for personality profiling, moral development stage measurement, and ethical risk under soft prompt injection. EMNLP extends existing scales and constructs 88 teacher-specific moral dilemmas, enabling profession-orient…

crime: Rosenfeld crime network (1991)
A network of associations among suspects, victims, and/or witnesses involved in crimes in St. Louis in the 1990s. Data are derived from police records, via snowball sampling from five initial homicides. Left nodes are people, right nodes are crime events, and edges connect people to particular crimes events they were associated with. Metadata includes names, genders, and roles (suspects, victims, and/or witnesses).
This network has 1380 nodes…

Ryan Flynn’s documentary “You’re No Indian”, about
"tribal disenrollment",
the controversial practice of removing Indigenous people from tribal roles, will debut at the "Dances With Films Festival" on June 28.
In the film, Flynn explores how tribal disenrollment has stripped over 11,000 Native American people of their tribal membership,
thereby erasing their identities, rights and connections to their communities.
Fueled by casino profits, p…

'You’re No Indian' Doc Exposes Tribal Disenrollment
You’re No Indian' Doc that Exposes the Human Rights Crisis Behind Tribal Disenrollment to Debut at Dances With Films

Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog
Lautaro Estienne, Gabriel Ben Zenou, Nona Naderi, Jackie Cheung, Pablo Piantanida
https://arxiv.org/abs/2507.14063

Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog
As AI systems take on collaborative roles, they must reason about shared goals and beliefs-not just generate fluent language. The Rational Speech Act (RSA) framework offers a principled approach to pragmatic reasoning, but existing extensions face challenges in scaling to multi-turn, collaborative scenarios. In this paper, we introduce Collaborative Rational Speech Act (CRSA), an information-theoretic (IT) extension of RSA that models multi-turn dialog by optimizing a gain function adapted from…

Roblox hires Paramount's Naveen Chopra as CFO starting June 30; Chopra previously held senior roles at Amazon and served as CFO at Pandora and TiVo (Cecilia D'Anastasio/Bloomberg)
https://www.bloomberg.com/news/articles/20

Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR
Jiakang Wang, Runze Liu, Fuzheng Zhang, Xiu Li, Guorui Zhou
https://arxiv.org/abs/2507.15778

Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR
Reinforcement Learning with Verifiable Rewards (RLVR) has become an effective post-training method for improving the reasoning abilities of Large Language Models (LLMs), mainly by shaping higher-order behaviors such as reflection and planning. However, previous RLVR algorithms often apply uniform training signals to all tokens, without considering the different roles of low-entropy knowledge-related tokens and high-entropy reasoning-related tokens. Some recent methods try to separate these toke…

messal_shale: Messel Shale food web (2014)
A network of feeling links among taxa based on the 48 million years old uppermost early Eocene Messel Shale. Edge property 'certainty' denotes the certainty of the edge. Metadata include evidence, habitat, and trophic roles. The edge direction goes from consumer to resource.
This network has 700 nodes and 6444 edges.
Tags: Biological, Food Web, Uncertain, Weighted, Metadata

Coding bootcamps, a Silicon Valley mainstay for over a decade, are facing decline as AI eliminates the kind of entry-level roles for which they trained people (Anna Tong/Reuters)
https://www.reuters.com/lifestyle/bootcamp-bust-how-…

messal_shale: Messel Shale food web (2014)
A network of feeling links among taxa based on the 48 million years old uppermost early Eocene Messel Shale. Edge property 'certainty' denotes the certainty of the edge. Metadata include evidence, habitat, and trophic roles. The edge direction goes from consumer to resource.
This network has 700 nodes and 6444 edges.
Tags: Biological, Food Web, Uncertain, Weighted, Metadata

FRaN-X: FRaming and Narratives-eXplorer
Artur Muratov, Hana Fatima Shaikh, Vanshikaa Jani, Tarek Mahmoud, Zhuohan Xie, Daniil Orel, Aaryamonvikram Singh, Yuxia Wang, Aadi Joshi, Hasan Iqbal, Ming Shan Hee, Dhruv Sahnan, Nikolaos Nikolaidis, Purifica\c{c}\~ao Silvano, Dimitar Dimitrov, Roman Yangarber, Ricardo Campos, Al\'ipio Jorge, Nuno Guimar\~aes, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov

FRaN-X: FRaming and Narratives-eXplorer
We present FRaN-X, a Framing and Narratives Explorer that automatically detects entity mentions and classifies their narrative roles directly from raw text. FRaN-X comprises a two-stage system that combines sequence labeling with fine-grained role classification to reveal how entities are portrayed as protagonists, antagonists, or innocents, using a unique taxonomy of 22 fine-grained roles nested under these three main categories. The system supports five languages (Bulgarian, English, Hindi, R…

messal_shale: Messel Shale food web (2014)
A network of feeling links among taxa based on the 48 million years old uppermost early Eocene Messel Shale. Edge property 'certainty' denotes the certainty of the edge. Metadata include evidence, habitat, and trophic roles. The edge direction goes from consumer to resource.
This network has 700 nodes and 6444 edges.
Tags: Biological, Food Web, Uncertain, Weighted, Metadata

messal_shale: Messel Shale food web (2014)
A network of feeling links among taxa based on the 48 million years old uppermost early Eocene Messel Shale. Edge property 'certainty' denotes the certainty of the edge. Metadata include evidence, habitat, and trophic roles. The edge direction goes from consumer to resource.
This network has 700 nodes and 6444 edges.
Tags: Biological, Food Web, Uncertain, Weighted, Metadata

An LLM Agent-Based Complex Semantic Table Annotation Approach
Yilin Geng, Shujing Wang, Chuan Wang, Keqing He, Yanfei Lv, Ying Wang, Zaiwen Feng, Xiaoying Bai
https://arxiv.org/abs/2508.12868

An LLM Agent-Based Complex Semantic Table Annotation Approach
The Semantic Table Annotation (STA) task, which includes Column Type Annotation (CTA) and Cell Entity Annotation (CEA), maps table contents to ontology entities and plays important roles in various semantic applications. However, complex tables often pose challenges such as semantic loss of column names or cell values, strict ontological hierarchy requirements, homonyms, spelling errors, and abbreviations, which hinder annotation accuracy. To address these issues, this paper proposes an LLM-bas…