Tootfinder

Apple shelves Vision Headset revamp to prioritize Meta-like AI glasses https://www.siliconvalley.com/2025/10/02/apple-shelves-vision-headset-revamp-to-prioritize-meta-like-ai-glasses/

Apple shelves Vision Headset revamp to prioritize Meta-like AI glasses
The company had been preparing a cheaper, lighter variant of its headset — code-named N100 — for release in 2027.

Sources: Sam Altman is on a global tour since September, including UAE and East Asia, seeking funding and urging companies like TSMC to prioritize OpenAI orders (Wall Street Journal)
https://www.wsj.com/tech/ai/openai-sam-alt

Most of the 475 people arrested at Hyundai facility in Georgia are Korean nationals
The arrested workers were being held at Ice’s Folkston, Georgia detention facility.
Local Korean media said roughly 300 people detained were South Korean nationals.
“It is our understanding that none of those detained is directly employed by Hyundai Motor Co.
We prioritize the safety and well-being of everyone working at the site and comply with all laws and regulations wherever we op…

Surprising no one (who shares my opinions), the Apple Vision Pro is dead https://www.bloomberg.com/news/articles/2025-10-01/apple-shelves-vision-headset-revamp-to-prioritize-meta-like-ai-smart-glasses

Nun warten wir ab, ob die Herausgeber*innen des Bandes bemerken, dass ich die Jahresgabe einer Publikation in der Bibliografie verunpräzisiert habe, weil mir Zeit und Lust fehlen, deren äußerst komplexe Veröffentlichungsgeschichte nachzurecherchieren. Wie schrieb Kollegin S. unlängst in einer E-Mail? "Prioritize your well-being!" #HarHar

Guyana brings solar power to Indigenous village, part of larger plan to prioritize Amerindian communities in national development. #climatechange #climatesolutions #climate

Guyana commissions solar grid for Indigenous village
A remote village in western Guyana is set to benefit from round the clock power following the commissioning of a solar grid with a combined capacity of 217.4 kW.

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
Markus Pettersson, Connor T. Jerzak, Adel Daoud
https://arxiv.org/abs/2508.01341

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
Machine learning models trained on Earth observation data, such as satellite imagery, have demonstrated significant promise in predicting household-level wealth indices, enabling the creation of high-resolution wealth maps that can be leveraged across multiple causal trials. However, because standard training objectives prioritize overall predictive accuracy, these predictions inherently suffer from shrinkage toward the mean, leading to attenuated estimates of causal treatment effects and limit…

OnPair: Short Strings Compression for Fast Random Access
Francesco Gargiulo, Rossano Venturini
https://arxiv.org/abs/2508.02280 https://arxiv.org/pdf/2508.…

OnPair: Short Strings Compression for Fast Random Access
We present OnPair, a dictionary-based compression algorithm designed to meet the needs of in-memory database systems that require both high compression and fast random access. Existing methods either achieve strong compression ratios at significant computational and memory cost (e.g., BPE) or prioritize speed at the expense of compression quality (e.g., FSST). OnPair bridges this gap by employing a cache-friendly dictionary construction technique that incrementally merges frequent adjacent subs…

Sources: Apple has shelved development of a cheaper, lighter Vision Pro variant planned for 2027 to prioritize smart glasses that can rival products from Meta (Mark Gurman/Bloomberg)
https://www.bloomberg.com/news/articles/20

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
Matthew A. Reyna (Department of Biomedical Informatics, Emory University, Atlanta, USA), Zuzana Koscova (Department of Biomedical Informatics, Emory University, Atlanta, USA), Jan Pavlus (Department of Biomedical Informatics, Emory University, Atlanta, USA), Soheil Saghafi (Department of Biomedical Informatics, Emory University, Atlanta, USA), James Weigle (Department of Biomedical Informatics, Emory…

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
Objective: Chagas disease is a parasitic infection that is endemic to South America, Central America, and, more recently, the U.S., primarily transmitted by insects. Chronic Chagas disease can cause cardiovascular diseases and digestive problems. Serological testing capacities for Chagas disease are limited, but Chagas cardiomyopathy often manifests in ECGs, providing an opportunity to prioritize patients for testing and treatment. Approach: The George B. Moody PhysioNet Challenge 2025 invites …

Towards Multi-Platform Mutation Testing of Task-based Chatbots
Diego Clerissi, Elena Masserini, Daniela Micucci, Leonardo Mariani
https://arxiv.org/abs/2509.01389 https://

Towards Multi-Platform Mutation Testing of Task-based Chatbots
Chatbots, also known as conversational agents, have become ubiquitous, offering services for a multitude of domains. Unlike general-purpose chatbots, task-based chatbots are software designed to prioritize the completion of tasks of the domain they handle (e.g., flight booking). Given the growing popularity of chatbots, testing techniques that can generate full conversations as test cases have emerged. Still, thoroughly testing all the possible conversational scenarios implemented by a task-bas…

Vulnerability Analysis Evaluating Bilevel Optimal Power Flow Approaches for Multiple Load Cases
Eric T\"onges, Martin Braun, Philipp H\"artel
https://arxiv.org/abs/2510.01073

Vulnerability Analysis Evaluating Bilevel Optimal Power Flow Approaches for Multiple Load Cases
This work presents two methodologies to enhance vulnerability assessment in power systems using bilevel attacker-defender network interdiction models. First, we introduce a systematic evaluation procedure for comparing different optimal power flow formulations in the lower-level problem. We demonstrate the procedure for a comparison of the widely used DC approximation and a linearized AC optimal power flow model. Second, we propose a novel scoring methodology to identify and prioritize critical…

🦠 Global initiative launches to prioritize conservation of vital microbial life
#bacteria

Global initiative launches to prioritize conservation of vital microbial life
Microbes include bacteria, viruses, fungi, algae and archaea (single-celled microorganisms with a bacteria-like structure). They are invisible to the human eye, but they play a huge role, shaping ecosystems, producing food and regulating disease.

In a season slipping away, Commanders are right to prioritize Jayden Daniels' health -- now and for the future

https://www.cbssports.com/nfl/news/commanders-jayden-daniels-inj…

If Instagram switching over to only reels then @… is going to expload in signups again.
https://www.businessinsider.com/instagram-…

Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
Wenyong Zhou, Zhengwu Liu, Yuan Ren, Ngai Wong
https://arxiv.org/abs/2508.21524 https://…

Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
Compute-in-memory (CIM) accelerators have emerged as a promising way for enhancing the energy efficiency of convolutional neural networks (CNNs). Deploying CNNs on CIM platforms generally requires quantization of network weights and activations to meet hardware constraints. However, existing approaches either prioritize hardware efficiency with binary weight and activation quantization at the cost of accuracy, or utilize multi-bit weights and activations for greater accuracy but limited efficie…

Explicit modelling of subject dependency in BCI decoding
Michele Romani, Francesco Paissan, Andrea Foss\`a, Elisabetta Farella
https://arxiv.org/abs/2509.23247 https://

Explicit modelling of subject dependency in BCI decoding
Brain-Computer Interfaces (BCIs) suffer from high inter-subject variability and limited labeled data, often requiring lengthy calibration phases. In this work, we present an end-to-end approach that explicitly models the subject dependency using lightweight convolutional neural networks (CNNs) conditioned on the subject's identity. Our method integrates hyperparameter optimization strategies that prioritize class imbalance and evaluates two conditioning mechanisms to adapt pre-trained models to…

Meta says Instagram has hit 3B monthly users and is changing its home screen to prioritize DMs and Reels; it is testing opening directly into Reels in India (Kurt Wagner/Bloomberg)
https://www.bloomberg.com/news/articles/2025-09…

Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval
Yixuan Tang, Yuanyuan Shi, Yiqun Sun, Anthony Kum Hoe Tung
https://arxiv.org/abs/2508.19758

Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval
Access to diverse perspectives is essential for understanding real-world events, yet most news retrieval systems prioritize textual relevance, leading to redundant results and limited viewpoint exposure. We propose NEWSCOPE, a two-stage framework for diverse news retrieval that enhances event coverage by explicitly modeling semantic variation at the sentence level. The first stage retrieves topically relevant content using dense retrieval, while the second stage applies sentence-level clusterin…

BofA Securities: Blinkit holds over 50% share of India's quick commerce market, as rivals Zepto and Instamart prioritize profitability over aggressive expansion (Pranav Mukul/The Economic Times)
https://economict…

Blinkit tops quick commerce with over 50% market share, set to gain more: BofA
Blinkit has solidified its dominance in India's quick commerce sector, now commanding over 50% market share, according to BofA Securities. This growth comes as rivals like Zepto and Instamart prioritize profitability over aggressive expansion. With reduced competition and sustained user demand, Blinkit is poised for further gains in net merchandise value and gross merchandise value.

Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
Saranya Ganesh S., Frederick Iat-Hin Tam, Milton S. Gomez, Marie McGraw, Mark DeMaria, Kate Musgrave, Jakob Runge, Tom Beucler
https://arxiv.org/abs/2510.02050

Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
Improving statistical forecasts of Atlantic hurricane intensity is limited by complex nonlinear interactions and difficulty in identifying relevant predictors. Conventional methods prioritize correlation or fit, often overlooking confounding variables and limiting generalizability to unseen tropical storms. To address this, we leverage a multidata causal discovery framework with a replicated dataset based on Statistical Hurricane Intensity Prediction Scheme (SHIPS) using ERA5 meteorological rea…

Schon im 19. Jahrhundert versteht Samuel Butler, die Maschinen als eine separate evolutionäre Spezies, die mehr an ihrem eigenen Überleben mehr interessiert ist, als am Wohlergehen der Menschen:
> A world where we prioritize the relentless advancement of technology and a universal dependence on it in the name of efficiency is a world where we prioritize a certain political-economic order that is more interested in advancing technologies based on criteria that have little to do with…

On the Origins of Dune's Butlerian Jihad
Some notes on what should go in our own Orange Catholic Bible.

Length-Matching Routing for Programmable Photonic Circuits Using Best-First Strategy
Xiaoke Wang, Dirk Stroobandt
https://arxiv.org/abs/2509.23463 https://…

Length-Matching Routing for Programmable Photonic Circuits Using Best-First Strategy
In the realm of programmable photonic integrated circuits (PICs), precise wire length control is crucial for the performance of on-chip programmable components such as optical ring resonators, Mach-Zehnder interferometers, and optical true time-delay lines. Unlike conventional routing algorithms that prioritize shortest-path solutions, these photonic components require exact-length routing to maintain the desired optical properties. To address these challenges, this paper presents different l…

Building Information Models to Robot-Ready Site Digital Twins (BIM2RDT): An Agentic AI Safety-First Framework
Reza Akhavian, Mani Amani, Johannes Mootz, Robert Ashe, Behrad Beheshti
https://arxiv.org/abs/2509.20705

Building Information Models to Robot-Ready Site Digital Twins (BIM2RDT): An Agentic AI Safety-First Framework
The adoption of cyber-physical systems and jobsite intelligence that connects design models, real-time site sensing, and autonomous field operations can dramatically enhance digital management in the construction industry. This paper introduces BIM2RDT (Building Information Models to Robot-Ready Site Digital Twins), an agentic artificial intelligence (AI) framework designed to transform static Building Information Modeling (BIM) into dynamic, robot-ready digital twins (DTs) that prioritize safe…

People have come to prioritize their pride, ego & comfort over truth.
▶️ Tony Gilroy: Andor Explains America's Dark Moment
https://youtube.com/watch?v=iaqnHfa6n4E&si=UGwXIqK8B6l4gDGz

A Walk on the Wild Side: a Shape-First Methodology for Orthogonal Drawings
Giordano Andreola, Susanna Caroppo, Giuseppe Di Battista, Fabrizio Grosso, Maurizio Patrignani, Allegra Strippoli
https://arxiv.org/abs/2508.19416

A Walk on the Wild Side: a Shape-First Methodology for Orthogonal Drawings
Several algorithms for the construction of orthogonal drawings of graphs, including those based on the Topology-Shape-Metrics (TSM) paradigm, tend to prioritize the minimization of crossings. This emphasis has two notable side effects: some edges are drawn with unnecessarily long sequences of segments and bends, and the overall drawing area may become excessively large. As a result, the produced drawings often lack geometric uniformity. Moreover, orthogonal crossings are known to have a limited…

Interviews with Apple's Tim Millet, Arun Mathias, and Kaiann Drance on the new neural accelerators in A19 Pro GPU cores, C1X modem, N1 wireless chip, and more (Katie Tarasov/CNBC)
https://www.cnbc.com/2025/09/21/apple-now-controls-a…

Apple takes control of all core chips in iPhone Air with new architecture to prioritize AI
Apple is quietly taking control of all the core chips in iPhone with new architecture to prioritize AI workloads on its most advanced chip, the A19 Pro.

In the end, “designing assignments that reward insight over polish, creating policies that prioritize learning over automation, and teaching students to question not just what AI produces but how and why they are using it” will have to mean: you can’t pass by using #GenAI.
But since GenAI can already do a pretty good impression of many things, we’ll have to make our courses extremely challe…

In the end, “designing assignments that reward insight over polish, creating policies that prioritize learning over automation, and teaching students to question not just what AI produces but how and why they are using it” will have to mean: you can’t pass by using #GenAI.
But since GenAI can already do a pretty good impression of many things, we’ll have to make our courses extremely challe…

Santa Barbara’s future vitality depends on making space for younger generations who want to build their lives here
— and a walkable, bike-friendly downtown offers immense value for renters, service workers, parents, and young professionals alike.
We cannot rely on big, national retail chains to anchor State Street
Bringing cars back will just bring back cruising, since parking has always been on nearby streets and in garages.
A walkable downtown supported by efficien…

FYI, the closing date for submitting comments on the US Department of Education’s plans to prioritize "patriotic education" in its discretionary grant programs is this Friday, October 17. The American Historical Association has an excellent resource to help folks weigh in! https://www.

QUINTA: Reflexive Sensibility For Responsible AI Research and Data-Driven Processes
Alicia E. Boyd
https://arxiv.org/abs/2509.16347 https://arxiv.org/pdf/2…

QUINTA: Reflexive Sensibility For Responsible AI Research and Data-Driven Processes
As the field of artificial intelligence (AI) and machine learning (ML) continues to prioritize fairness and the concern for historically marginalized communities, the importance of intersectionality in AI research has gained significant recognition. However, few studies provide practical guidance on how researchers can effectively incorporate intersectionality into critical praxis. In response, this paper presents a comprehensive framework grounded in critical reflexivity as intersectional prax…

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
Eoin O'Doherty, Nicole Weinrauch, Andrew Talone, Uri Klempner, Xiaoyuan Yi, Xing Xie, Yi Zeng
https://arxiv.org/abs/2509.10297

The Morality of Probability: How Implicit Moral Biases in LLMs May Shape the Future of Human-AI Symbiosis
Artificial intelligence (AI) is advancing at a pace that raises urgent questions about how to align machine decision-making with human moral values. This working paper investigates how leading AI systems prioritize moral outcomes and what this reveals about the prospects for human-AI symbiosis. We address two central questions: (1) What moral values do state-of-the-art large language models (LLMs) implicitly favour when confronted with dilemmas? (2) How do differences in model architecture, cul…

A Hierarchical Sharded Blockchain Balancing Performance and Availability
Yongrae Jo, Chanik Park
https://arxiv.org/abs/2508.14457 https://arxiv.org/pdf/250…

A Hierarchical Sharded Blockchain Balancing Performance and Availability
Blockchain networks offer decentralization, transparency, and immutability for managing critical data but encounter scalability problems as the number of network members and transaction issuers grows. Sharding is considered a promising solution to enhance blockchain scalability. However, most existing blockchain sharding techniques prioritize performance at the cost of availability (e.g., a failure in a few servers holding a shard leads to data unavailability). In this paper, we propose PyloCha…

Cut2Next: Generating Next Shot via In-Context Tuning
Jingwen He, Hongbo Liu, Jiajun Li, Ziqi Huang, Yu Qiao, Wanli Ouyang, Ziwei Liu
https://arxiv.org/abs/2508.08244 https://

Cut2Next: Generating Next Shot via In-Context Tuning
Effective multi-shot generation demands purposeful, film-like transitions and strict cinematic continuity. Current methods, however, often prioritize basic visual consistency, neglecting crucial editing patterns (e.g., shot/reverse shot, cutaways) that drive narrative flow for compelling storytelling. This yields outputs that may be visually coherent but lack narrative sophistication and true cinematic integrity. To bridge this, we introduce Next Shot Generation (NSG): synthesizing a subsequent…

Static or temporal? Semantic scene simplification to aid wayfinding in immersive simulations of bionic vision https://arxiv.org/abs/2507.10813

Learning to Rank with Top-$K$ Fairness
Boyang Zhang, Quanqi Hu, Mingxuan Sun, Qihang Lin, Tianbao Yang
https://arxiv.org/abs/2509.18067 https://arxiv.org/p…

Learning to Rank with Top-$K$ Fairness
Fairness in ranking models is crucial, as disparities in exposure can disproportionately affect protected groups. Most fairness-aware ranking systems focus on ensuring comparable average exposure for groups across the entire ranked list, which may not fully address real-world concerns. For example, when a ranking model is used for allocating resources among candidates or disaster hotspots, decision-makers often prioritize only the top-$K$ ranked items, while the ranking beyond top-$K$ becomes l…

Picture the human body. Zoom in on a single cell. It lives for a while, then splits or dies, as part of a community of cells that make up a particular tissue. This community lives together for many many cell-lifetimes, each performing their own favorite function and reproducing as much as necessary to maintain their community, consuming the essential resources they need and contributing back what they can so that the whole body can live for decades. Each community of cells is interdependent on the whole body, but also stable and sustainable over long periods of time.
Now imagine a cancer cell. It has lost its ability to harmonize with the whole and prioritize balance, instead consuming and reproducing as quickly as it can. As neighboring tissues start to die from its excess, it metastasizes, always spreading to new territory to fuel its unbalanced appetite. The inevitable result is death of the whole body, although through birth, that body can create a new fresh branch of tissues that may continue their stable existence free of cancer. Alternatively, radiation or chemotherapy might be able to kill off the cancer, at great cost to the other tissues, but permitting long-term survival.
To the cancer cell, the idea of decades-long survival of a tissue community is unbelievable. When your natural state is unbounded consumption, growth, and competition, the idea of interdependent cooperation (with tissues all around the body you're not even touching, no less) seems impossible, and the idea that a tissue might survive in a stable form for decades is ludicrous.
"Perhaps if conditions were bleak enough to perfectly balance incessant unrestrained growth against the depredations of a hostile environment it might be possible? I guess the past must have been horribly brutal, so that despite each tissue trying to grow as much as possible they each barely survived? Yes, a stable and sustainable population is probably only possible under conditions of perfectly extreme hardship, and in our current era of unfettered growth, we should rejoice that we live in much easier times!"
You can probably already see where I'm going with this metaphor, but did you know that there are human communities, alive today, that have been living sustainably for *tens, if not hundreds of thousands of years*?
#anarchy #colonialism #civilization
P.S. if you're someone who likes to think about past populations and historical population growth, I cannot recommend the (short, free) game Opera Omnia by Stephen Lavelle enough: https://www.increpare.com/2009/02/opera-omnia/

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing
Ning Yang, Junrui Wen, Meng Zhang, Ming Tang
https://arxiv.org/abs/2509.10474 https:…

Generalizable Pareto-Optimal Offloading with Reinforcement Learning in Mobile Edge Computing
Mobile edge computing (MEC) is essential for next-generation mobile network applications that prioritize various performance metrics, including delays and energy efficiency. However, conventional single-objective scheduling solutions cannot be directly applied to practical systems in which the preferences (i.e., the weights of different objectives) are often unknown or challenging to specify in advance. In this study, we formulate a multi-objective offloading problem for MEC with multiple edges…

Principles for Environmental Justice in Technology: Toward a Regenerative Future
Sanjana Paul
https://arxiv.org/abs/2508.09007 https://arxiv.org/pdf/2508.0…

Principles for Environmental Justice in Technology: Toward a Regenerative Future
This paper introduces the Environmental Justice in Technology (EJIT) Principles, a framework to help reorient technological development toward social and ecological justice and collective flourishing. In response to prevailing models of technological innovation that prioritize speed, scale, and profit while neglecting systemic injustice, the EJIT principles offer an alternative: a set of guiding values that foreground interdependence, repair, and community self-determination. Drawing inspiratio…

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
Cheng Wang, Gelei Deng, Xianglin Yang, Han Qiu, Tianwei Zhang
https://arxiv.org/abs/2508.15407 h…

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
Large Audio-Language Models (LALMs) are enhanced with audio perception capabilities, enabling them to effectively process and understand multimodal inputs that combine audio and text. However, their performance in handling conflicting information between audio and text modalities remains largely unexamined. This paper introduces MCR-BENCH, the first comprehensive benchmark specifically designed to evaluate how LALMs prioritize information when presented with inconsistent audio-text pairs. Throu…

PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs
Hao Duan, Yitong Song, Bin Yao, Anqi Liang
https://arxiv.org/abs/2508.17886

PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs
Approximate Nearest Neighbor Search (ANNS) plays a crucial role in many key areas. Proximity graphs (PGs) are the leading method for ANNS, offering the best balance between query efficiency and accuracy. However, their performance heavily depends on various construction and query parameters, which are difficult to optimize due to their complex inter-dependencies. Given that users often prioritize specific accuracy levels, efficiently identifying the optimal PG configurations to meet these targe…

On World Mental Health Day, Raiders share how they balance life and football https://www.raiders.com/news/world-mental-health-day-raiders-share-how-they-balance-life-and-football

Campus AI vs. Commercial AI: How Customizations Shape Trust and Usage of LLM as-a-Service Chatbots
Leon Hannig (University of Duisburg-Essen, Germany), Annika Bush (TU Dortmund University, Germany), Meltem Aksoy (TU Dortmund University, Germany), Steffen Becker (Ruhr University Bochum, Germany), Greta Ontrup (University of Duisburg-Essen, Germany)
https://

Campus AI vs. Commercial AI: How Customizations Shape Trust and Usage of LLM as-a-Service Chatbots
As the use of LLM chatbots by students and researchers becomes more prevalent, universities are pressed to develop AI strategies. One strategy that many universities pursue is to customize pre-trained LLM as-a-service (LLMaaS). While most studies on LLMaaS chatbots prioritize technical adaptations, we focus on psychological effects of user-salient customizations, such as interface changes. We assume that such customizations influence users' perception of the system and are therefore important i…

Measuring the Carbon Footprint of Cryptographic Privacy-Enhancing Technologies
Marc Damie, Mihai Pop, Merijn Posthuma
https://arxiv.org/abs/2508.04583 https://

Measuring the Carbon Footprint of Cryptographic Privacy-Enhancing Technologies
Privacy-enhancing technologies (PETs) have attracted significant attention in response to privacy regulations, driving the development of applications that prioritize user data protection. At the same time, the information and communication technology (ICT) sector faces growing pressure to reduce its environmental footprint, particularly its carbon emissions. While numerous studies have assessed the energy footprint of various ICT applications, the environmental footprint of cryptographic PETs …

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy
Yijin Chen, Wenqiang Xu, Zhenjun Yu, Tutian Tang, Yutong Li, Siqiong Yao, Cewu Lu
https://arxiv.org/abs/2508.14441

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy
Dexterous in-hand manipulation is a long-standing challenge in robotics due to complex contact dynamics and partial observability. While humans synergize vision and touch for such tasks, robotic approaches often prioritize one modality, therefore limiting adaptability. This paper introduces Flow Before Imitation (FBI), a visuotactile imitation learning framework that dynamically fuses tactile interactions with visual observations through motion dynamics. Unlike prior static fusion methods, FBI …

After bringing white South Africans to the United States as refugees earlier this year,
the Trump administration is now reportedly considering granting protection to members of far-right European parties.
According to the New York Times, the proposal that Donald Trump is now weighing would prioritize Europeans who are allegedly
“targeted for peaceful expression of views online such as opposition to mass migration or support for ‘populist’ political parties.”
The pro…

Trump could soon make America’s refugee program a tool for white nationalism
The White House is considering a plan to overhaul refugee admissions in favor of right-wing whites.

Identifying nonequilibrium degrees of freedom in high-dimensional stochastic systems
Catherine Ji, Ravin Raj, Benjamin Eysenbach, Gautam Reddy
https://arxiv.org/abs/2508.08247 h…

Identifying nonequilibrium degrees of freedom in high-dimensional stochastic systems
Any coarse-grained description of a nonequilibrium system should faithfully represent its latent irreversible degrees of freedom. However, standard dimensionality reduction methods typically prioritize accurate reconstruction over physical relevance. Here, we introduce a model-free approach to identify irreversible degrees of freedom in stochastic systems that are in a nonequilibrium steady state. Our method leverages the insight that a black-box classifier, trained to differentiate between for…

A transformer-based generative model for planetary systems
Yann Alibert, Jeanne Davoult, Sara Marques
https://arxiv.org/abs/2509.07226 https://arxiv.org/pd…

A transformer-based generative model for planetary systems
Numerical calculations of planetary system formation are very demanding in terms of computing power. These synthetic planetary systems can however provide access to correlations, as predicted in a given numerical framework, between the properties of planets in the same system. Such correlations can, in return, be used in order to guide and prioritize observational campaigns aiming at discovering some types of planets, as Earth-like planets. Our goal is to develop a generative model which is cap…

From Explainable to Explanatory Artificial Intelligence: Toward a New Paradigm for Human-Centered Explanations through Generative AI
Christian Meske, Justin Brenne, Erdi Uenal, Sabahat Oelcer, Ayseguel Doganguen
https://arxiv.org/abs/2508.06352

From Explainable to Explanatory Artificial Intelligence: Toward a New Paradigm for Human-Centered Explanations through Generative AI
Current explainable AI (XAI) approaches prioritize algorithmic transparency and present explanations in abstract, non-adaptive formats that often fail to support meaningful end-user understanding. This paper introduces "Explanatory AI" as a complementary paradigm that leverages generative AI capabilities to serve as explanatory partners for human understanding rather than providers of algorithmic transparency. While XAI reveals algorithmic decision processes for model validation, Explanatory AI…

Identifying high-impact consumers' behavioural changes for flexibility and demand reduction in a net-zero energy system
Parisa Rahdan, Mirko Sch\"afer, Ana Bel\'en Crist\'obal L\'opez, Marta Victoria
https://arxiv.org/abs/2508.04414

Identifying high-impact consumers' behavioural changes for flexibility and demand reduction in a net-zero energy system
Achieving decarbonization across energy sectors requires demand-side transformation such as behavioural changes and end-use efficiency improvements to complement supply-side technological shifts. However, changing consumption patterns is challenging, and implementing efficiency measures requires time and investment, highlighting the need to prioritize strategies. We address this prioritization using a high-resolution model of the European energy system under net-zero emissions, assessing the sy…

Internal email: xAI lays off hundreds of data annotation team staffers, following a strategic shift to prioritize specialist AI tutors over generalist roles (Grace Kay/Business Insider)
https://www.businessinsider.com/elon-musk-xai-layoffs-data-annotators-2025-9

Musk's xAI just laid off hundreds of workers tasked with training Grok
XAI laid off at least 500 of the workers on its data annotation team on Friday night.

Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
Nicole Aretz, Karen Willcox
https://arxiv.org/abs/2508.11542 https://ar…

Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
This paper presents a data-driven, nested Operator Inference (OpInf) approach for learning physics-informed reduced-order models (ROMs) from snapshot data of high-dimensional dynamical systems. The approach exploits the inherent hierarchy within the reduced space to iteratively construct initial guesses for the OpInf learning problem that prioritize the interactions of the dominant modes. The initial guess computed for any target reduced dimension corresponds to a ROM with provably smaller or e…

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
Rabiya Khalid, Evangelos Pournaras
https://arxiv.org/abs/2510.04192 https://

Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation
The growing electricity demand and increased use of smart appliances are placing new pressures on power grids, making efficient energy management more important than ever. The existing energy management systems often prioritize system efficiency (balanced energy demand and supply) at the expense of user comfort. This paper addresses this gap by proposing a novel decentralized multi-agent coordination-based demand-side management system. The proposed system enables individual agents to coordinat…

Value Alignment of Social Media Ranking Algorithms
Farnaz Jahanbakhsh, Dora Zhao, Tiziano Piccardi, Zachary Robertson, Ziv Epstein, Sanmi Koyejo, Michael S. Bernstein
https://arxiv.org/abs/2509.14434

Value Alignment of Social Media Ranking Algorithms
While social media feed rankings are primarily driven by engagement signals rather than any explicit value system, the resulting algorithmic feeds are not value-neutral: engagement may prioritize specific individualistic values. This paper presents an approach for social media feed value alignment. We adopt Schwartz's theory of Basic Human Values -- a broad set of human values that articulates complementary and opposing values forming the building blocks of many cultures -- and we implement an …

Missed Opportunity: Some Social Security officials said they welcomed DOGE — the agency needs a technological overhaul — only to see DOGE ignore them and prioritize quick (often empty) wins.

Internal Revolt: Leland Dudek, the agency’s then acting chief, helped DOGE at first, then tried to resist when he saw what it was doing, Dudek said in 15 hours of candid interviews.

DOGE Lives On: Multiple former DOGErs have taken permanent roles at the Social Security Administrat…

The Untold Saga of What Happened When DOGE Stormed Social Security
DOGE has ignored urgently needed reforms and upgrades at the Social Security Administration, according to dozens of insiders and 15 hours of candid interviews with the former acting chief of the agency, who admits he sometimes made things worse.

On World Mental Health Day, Raiders share how they balance life and football https://www.raiders.com/news/world-mental-health-day-raiders-share-how-they-balance-life-and-football

Continuous Bangla Sign Language Translation: Mitigating the Expense of Gloss Annotation with the Assistance of Graph
Safaeid Hossain Arib, Rabeya Akter, Sejuti Rahman
https://arxiv.org/abs/2508.10687

Continuous Bangla Sign Language Translation: Mitigating the Expense of Gloss Annotation with the Assistance of Graph
Millions of individuals worldwide are affected by deafness and hearing impairment. Sign language serves as a sophisticated means of communication for the deaf and hard of hearing. However, in societies that prioritize spoken languages, sign language often faces underestimation, leading to communication barriers and social exclusion. The Continuous Bangla Sign Language Translation project aims to address this gap by enhancing translation methods. While recent approaches leverage transformer arch…

Request a Note: How the Request Function Shapes X's Community Notes System
Yuwei Chuai, Shuning Zhang, Ziming Wang, Xin Yi, Mohsen Mosleh, Gabriele Lenzini
https://arxiv.org/abs/2509.09956

Request a Note: How the Request Function Shapes X's Community Notes System
X's Community Notes is a crowdsourced fact-checking system. To improve its scalability, X recently introduced "Request Community Note" feature, enabling users to solicit fact-checks from contributors on specific posts. Yet, its implications for the system -- what gets checked, by whom, and with what quality -- remain unclear. Using 98,685 requested posts and their associated notes, we evaluate how requests shape the Community Notes system. We find that contributors prioritize posts with higher …

Controlling Intent Expressiveness in Robot Motion with Diffusion Models
Wenli Shi, Clemence Grislain, Olivier Sigaud, Mohamed Chetouani
https://arxiv.org/abs/2510.12370 https://…

Controlling Intent Expressiveness in Robot Motion with Diffusion Models
Legibility of robot motion is critical in human-robot interaction, as it allows humans to quickly infer a robot's intended goal. Although traditional trajectory generation methods typically prioritize efficiency, they often fail to make the robot's intentions clear to humans. Meanwhile, existing approaches to legible motion usually produce only a single "most legible" trajectory, overlooking the need to modulate intent expressiveness in different contexts. In this work, we propose a novel motio…

The Senate passes a measure requiring Nvidia and AMD to prioritize US customers over China for advanced AI chip sales, as part of a defense policy bill (Oma Seddiq/Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-10/sena…

Modeling electrothermal feedback of superconducting nanowire single photon detectors in SPICE
Hanson Nguyen, Alejandro Simon, Reed Foster, Karl K. Berggren
https://arxiv.org/abs/2508.02791

Modeling electrothermal feedback of superconducting nanowire single photon detectors in SPICE
Superconducting nanowire single-photon detectors (SNSPDs) exhibit complex switching behaviors due to electrothermal feedback during the detection process. Modeling and understanding these behaviors is integral for designing superconducting devices; however, many models often prioritize accuracy over computational speed and intuitive integration for circuit designers. Here, we build upon a growing architecture of SPICE tools for superconducting nanowire devices by capturing complex residual heat…

Robots that Evolve with Us: Modular Co-Design for Personalization, Adaptability, and Sustainability
Lingyun Chen, Qing Xiao, Zitao Zhang, Eli Blevis, Selma \v{S}abanovi\'c
https://arxiv.org/abs/2509.11622

Robots that Evolve with Us: Modular Co-Design for Personalization, Adaptability, and Sustainability
Many current robot designs prioritize efficiency and one-size-fits-all solutions, oftentimes overlooking personalization, adaptability, and sustainability. To explore alternatives, we conducted two co-design workshops with 23 participants, who engaged with a modular robot co-design framework. Using components we provided as building blocks, participants combined, removed, and invented modules to envision how modular robots could accompany them from childhood through adulthood and into older adu…

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
Rui Zou, Mengqi Wei, Yutao Zhu, Jirong Wen, Xin Zhao, Jing Chen
https://arxiv.org/abs/2508.03396

Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis
Large Language Models (LLMs) excel in reasoning and generation across domains, but still struggle with identifying and diagnosing complex errors. This stems mainly from training objectives that prioritize correct answers, limiting exposure to and learning from errors. While recent studies have begun to address this by introducing error signals, most rely on shallow, static errors, restricting improvement in deep diagnostic ability. To overcome this, we propose Hide and Seek Game (HSG), a dynami…

Sam Altman says OpenAI should prioritize growth and its investments in training and compute "for a long time", even if it delays its path to profitability (Ashley Capoot/CNBC)
https://www.cnbc.com/2025/08/08/chatgpt-gpt-5-openai-altman-loss.html

OpenAI's Altman is still looking to spend after GPT-5 launch and is 'willing to run the loss'
The company just released GPT-5, its latest and most advanced large-scale AI model.

2026 NFL Mock Draft: 6 Teams Grab QBs in First Round https://www.foxsports.com/stories/nfl/2026-nfl-mock-draft-6-teams-grab-qbs-first-round-including-cowboys

Improving Synthetic Data Training for Contextual Biasing Models with a Keyword-Aware Cost Function
Chin Yuen Kwok, Jia Qi Yip, Eng Siong Chng
https://arxiv.org/abs/2509.09197 ht…

Improving Synthetic Data Training for Contextual Biasing Models with a Keyword-Aware Cost Function
Rare word recognition can be improved by adapting ASR models to synthetic data that includes these words. Further improvements can be achieved through contextual biasing, which trains and adds a biasing module into the model architecture to prioritize rare words. While training the module on synthetic rare word data is more effective than using non-rare-word data, it can lead to overfitting due to artifacts in the synthetic audio. To address this, we enhance the TCPGen-based contextual biasing …

Achieving Meaningful Collaboration: Worker-centered Design of a Physical Human-Robot Collaborative Blending Task
Nicky Mol, Luka Peternel, Alessandro Ianniello, Denis Zatyagov, Auke Nachenius, Stephan Balvert, J. Micah Prendergast, Sara Muscolo, Olger Siebinga, Eva Verhoef, Deborah Forster, David A. Abbink
https://arxiv.org/abs/2510.12340

Achieving Meaningful Collaboration: Worker-centered Design of a Physical Human-Robot Collaborative Blending Task
The use of robots in industrial settings continues to grow, driven by the need to address complex societal challenges such as labor shortages, aging populations, and ever-increasing production demands. In this abstract, we advocate for (and demonstrate) a transdisciplinary approach when considering robotics in the workplace. Transdisciplinarity emphasizes the integration of academic research with pragmatic expertise and embodied experiential knowledge, that prioritize values such as worker well…

Meta updates Reels on Facebook to prioritize showing fresher and more-relevant content, and adds AI search suggestions and friend bubbles like on Instagram (Katelyn Chedraoui/CNET)
https://www.cnet.com/news/social-media/fac

Facebook's Algorithm Update Aims to Show You Newer Reels You'll Actually Like, Even if It's AI
Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can see less of it.

Visual Stenography: Feature Recreation and Preservation in Sketches of Noisy Line Charts
Rifat Ara Proma, Michael Correll, Ghulam Jilani Quadri, Paul Rosen
https://arxiv.org/abs/2510.11927

Visual Stenography: Feature Recreation and Preservation in Sketches of Noisy Line Charts
Line charts surface many features in time series data, from trends to periodicity to peaks and valleys. However, not every potentially important feature in the data may correspond to a visual feature which readers can detect or prioritize. In this study, we conducted a visual stenography task, where participants re-drew line charts to solicit information about the visual features they believed to be important. We systematically varied noise levels (SNR ~5-30 dB) across line charts to observe ho…

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning
Zhuang Chen, Guanqun Bi, Wen Zhang, Jiawei Hu, Aoyun Wang, Xiyao Xiao, Kun Feng, Minlie Huang
https://arxiv.org/abs/2508.04531

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning
Depression is a widespread mental disorder that affects millions worldwide. While automated depression assessment shows promise, most studies rely on limited or non-clinically validated data, and often prioritize complex model design over real-world effectiveness. In this paper, we aim to unveil the landscape of clinical depression assessment. We introduce C-MIND, a clinical neuropsychiatric multimodal diagnosis dataset collected over two years from real hospital visits. Each participant comple…

Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings
Ya-Chuan Hsu, Jonathan DeCastro, Andrew Silva, Guy Rosman
https://arxiv.org/abs/2509.07438 …

Timing the Message: Language-Based Notifications for Time-Critical Assistive Settings
In time-critical settings such as assistive driving, assistants often rely on alerts or haptic signals to prompt rapid human attention, but these cues usually leave humans to interpret situations and decide responses independently, introducing potential delays or ambiguity in meaning. Language-based assistive systems can instead provide instructions backed by context, offering more informative guidance. However, current approaches (e.g., social assistive robots) largely prioritize content gener…

AI Should Be More Human, Not More Complex
Carlo Esposito (Eyed Softwares, Aploide Softwares)
https://arxiv.org/abs/2508.04713 https://arxiv.org/pdf/2508.04…

AI Should Be More Human, Not More Complex
Large Language Models (LLMs) in search applications increasingly prioritize verbose, lexically complex responses that paradoxically reduce user satisfaction and engagement. Through a comprehensive study of 10.000 (est.) participants comparing responses from five major AI-powered search systems, we demonstrate that users overwhelmingly prefer concise, source-attributed responses over elaborate explanations. Our analysis reveals that current AI development trends toward "artificial sophistication…

Affecta-Context: The Context-Guided Behavior Adaptation Framework
Morten Roed Frederiksen, Kasper St{\o}y
https://arxiv.org/abs/2508.05359 https://arxiv.or…

Affecta-Context: The Context-Guided Behavior Adaptation Framework
This paper presents Affecta-context, a general framework to facilitate behavior adaptation for social robots. The framework uses information about the physical context to guide its behaviors in human-robot interactions. It consists of two parts: one that represents encountered contexts and one that learns to prioritize between behaviors through human-robot interactions. As physical contexts are encountered the framework clusters them by their measured physical properties. In each context, the f…