Tootfinder

How the video game industry, which has used AI since the 1980s, is embracing AI-enhanced gameplay, worrying some developers as major studios cut employees (Zachary Small/New York Times)
https://www.nytimes.com/2025/07/28/arts/video-games-artificial-intelligen…

The Unnerving Future of A.I.-Fueled Video Games
Game designers have used artificial intelligence since the 1980s. But digital characters demonstrating self-awareness is a far cry from the ghosts chasing Pac-Man.

Further signs of the fall of civilization:
Melania Trump launches AI contest for schoolchildren in grades K-12;
National contest aims to encourage kids to work together to address community issues with artificial intelligence
https://www.theguardian.com/us-news/202…

Well put, the “averaging effect of #AI.”
What’s the equivalent for writing? That’s what’s on my mind recently. Sure, keep your style. But do we need smth else? Add more styles, punctuation hacks, whatnot?
https://www.…

Denmark plans to clamp down on AI-generated deepfakes by changing copyright law to give its citizens rights to their own body, facial features, and voice (Miranda Bryant/The Guardian)
https://www.theguardian.com/technology/202

Deep Hype in Artificial General Intelligence: Uncertainty, Sociotechnical Fictions and the Governance of AI Futures
Andreu Belsunces Gon\c{c}alves
https://arxiv.org/abs/2508.19749

Deep Hype in Artificial General Intelligence: Uncertainty, Sociotechnical Fictions and the Governance of AI Futures
Artificial General Intelligence (AGI) is promoted by technology leaders and investors as a system capable of performing all human intellectual tasks, and potentially surpassing them. Despite its vague definition and uncertain feasibility, AGI has attracted major investment and political attention, fuelled by promises of civilisational transformation. This paper conceptualises AGI as sustained by deep hype: a long-term, overpromissory dynamic articulated through sociotechnical fictions that rend…

Investigation: California colleges and universities continue to renew Turnitin subscriptions despite the cost, faulty anti-plagiarism tech, and privacy issues (Tara García Mathewson/The Markup)
https://themarkup.org/artificial-intelligence/2025/06/2…

California colleges spend millions to catch plagiarism and AI. Is the faulty tech worth it? – The Markup
Colleges and universities renew Turnitin subscriptions year after year even though its flawed detectors are expensive and require students to let the company keep their papers forever.

Este nuevo prisma sobre la #IA no lo habíamos contemplado aún: el consumo de energía es tan alto que estš afectando en una subida de precios para todos los consumidores. Y ya sabemos que la subida de la luz repercute en la subida de todos los demšs precios.
Enhorabuena a los genios.
Edito para meter enlace

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Viktar Dubovik, {\L}ukasz Struski, Jacek Tabor, Dawid Rymarczyk
https://arxiv.org/abs/2507.19321

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Understanding the decisions made by deep neural networks is essential in high-stakes domains such as medical imaging and autonomous driving. Yet, these models often lack transparency, particularly in computer vision. Prototypical-parts-based neural networks have emerged as a promising solution by offering concept-level explanations. However, most are limited to fine-grained classification tasks, with few exceptions such as InfoDisent. InfoDisent extends prototypical models to large-scale datase…

Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
Alireza Abbaszadeh, Armita Shahlai
https://arxiv.org/abs/2508.20130 https://…

Artificial Intelligence for CRISPR Guide RNA Design: Explainable Models and Off-Target Safety
CRISPR-based genome editing has revolutionized biotechnology, yet optimizing guide RNA (gRNA) design for efficiency and safety remains a critical challenge. Recent advances (2020--2025, updated to reflect current year if needed) demonstrate that artificial intelligence (AI), especially deep learning, can markedly improve the prediction of gRNA on-target activity and identify off-target risks. In parallel, emerging explainable AI (XAI) techniques are beginning to illuminate the black-box nature …

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Muhammad Ahmed Mohsin, Junaid Ahmad, Muhammad Hamza Nawaz, Muhammad Ali Jamshed
https://arxiv.org/abs/2508.19495

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
Ambient intelligence (AmI) is a computing paradigm in which physical environments are embedded with sensing, computation, and communication so they can perceive people and context, decide appropriate actions, and respond autonomously. Realizing AmI at global scale requires sixth generation (6G) wireless networks with capabilities for real time perception, reasoning, and action aligned with human behavior and mobility patterns. We argue that Generative Artificial Intelligence (GenAI) is the crea…

Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games
Chiu-Chou Lin
https://arxiv.org/abs/2508.19152 https://arxiv.or…

Playstyle and Artificial Intelligence: An Initial Blueprint Through the Lens of Video Games
Contemporary artificial intelligence (AI) development largely centers on rational decision-making, valued for its measurability and suitability for objective evaluation. Yet in real-world contexts, an intelligent agent's decisions are shaped not only by logic but also by deeper influences such as beliefs, values, and preferences. The diversity of human decision-making styles emerges from these differences, highlighting that "style" is an essential but often overlooked dimension of intelligence.…

"Denmark to tackle deepfakes by giving people copyright to their own features"
https://www.theguardian.com/technology/2025/jun/27/deepfakes-denmark-copyright-law-artificial-intelligence

A Theory of Information, Variation, and Artificial Intelligence
Bijean Ghafouri
https://arxiv.org/abs/2508.19264 https://arxiv.org/pdf/2508.19264

A Theory of Information, Variation, and Artificial Intelligence
A growing body of empirical work suggests that the widespread adoption of generative AI produces a significant homogenizing effect on information, creativity, and cultural production. I first develop a novel theoretical framework to explain this phenomenon. I argue that a dynamic of AI-derivative epistemology, in which individuals increasingly defer to AI outputs, allows a centralized AI Prism to function, a technical mechanism whose architecture is designed to reduce variance and converge on t…

Google's emissions are up over 50%, Amazon builds huge data centers powered by 75% natural gas.
Remember all those posts telling us that "AIs climate impact isn't that bad" supported by some really funky math/perspective and/or numbers Sam Altman invented?
Here's the actual impact.
"AI" is a fossil fuel technology.

At Amazon’s Biggest Data Center, Everything Is Supersized for A.I.
On 1,200 acres of cornfield in Indiana, Amazon is building one of the largest computers ever for work with Anthropic, an artificial intelligence start-up.

The Danish government will clamp down on the creation and dissemination of AI-generated deepfakes by changing copyright law to ensure that everybody has the right to their own body, facial features and voice.
https://www.theguardian.com/technology/202

On the Future of Software Reuse in the Era of AI Native Software Engineering
Antero Taivalsaari, Tommi Mikkonen, Cesare Pautasso
https://arxiv.org/abs/2508.19834 https://…

On the Future of Software Reuse in the Era of AI Native Software Engineering
Software development is currently under a paradigm shift in which artificial intelligence and generative software reuse are taking the center stage in software creation. Earlier opportunistic software reuse practices and organic software development methods are rapidly being replaced by "AI Native" approaches in which developers place their trust on code that has been generated by artificial intelligence. This is leading to a new form of software reuse that is conceptually not all that differen…

AI-generated images of fake, otherworldly-looking houseplants are proliferating online and misleading consumers, as AI slop extends to plant care advice (Nicole Froio/The Verge)
https://www.theverge.com/ai-artificial-intellige…

AI is ruining houseplant communities online
AI-generated images and chatbot misinformation plague plant collectors.

Bisschen wilde Rechnerei: Wie viel Energie benötigte das Training des Phi4-Modells? Laut Datenblatt (https://huggingface.co/microsoft/phi-4) wurde 21 Tage auf 1920 H100-80G trainiert. In der SXM-Version nimmt eine H100-80G 700W auf (

On the Generalisation of Koopman Representations for Chaotic System Control
Kyriakos Hjikakou (University of Groningen, Department of Artificial Intelligence, Groningen, Netherlands), Juan Diego Cardenas Cartagena (University of Groningen, Department of Artificial Intelligence, Groningen, Netherlands), Matthia Sabatelli (University of Groningen, Department of Artificial Intelligence, Groningen, Netherlands)

On the Generalisation of Koopman Representations for Chaotic System Control
This paper investigates the generalisability of Koopman-based representations for chaotic dynamical systems, focusing on their transferability across prediction and control tasks. Using the Lorenz system as a testbed, we propose a three-stage methodology: learning Koopman embeddings through autoencoding, pre-training a transformer on next-state prediction, and fine-tuning for safety-critical control. Our results show that Koopman embeddings outperform both standard and physics-informed PCA base…

The BBC appoints ex-Meta executive Anjali Kapoor to the newly created role of director for BBC News AI, Innovation, and Growth, to "accelerate AI adoption" (Max Goldbart/Deadline)
https://deadline.com/2025/07/bbc-news-ai-role-anjali-kapoor-meta-12364719…

Meta Exec Joins BBC News For Key Artificial Intelligence Role
BBC News has hired AI Lead Anjali Kapoor from Meta to accelerate Artificial Intelligence adoption and work with data.

artificial intelligence “enables the cost of misinformation to come close to zero.” 
And it is starts with flooding Canadian city council mailboxes with climate misinformation https://www.nationalobserver.com/2025/05/2

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, William B. Weeks, Rahul Dodhia, Juan Lavista Ferres, Narinder Pal Singh
https://arxiv.org/abs/2507.18842…

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality
Ear disease contributes significantly to global hearing loss, with recurrent otitis media being a primary preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic image analysis, but dataset biases and inconsistencies limit model generalizability and reliability. This retrospective study systematically evaluated three public otoscopic image datasets (Chile; Ohio, USA; Türkiye) using quantitative and qualitative methods.…

Kremlin's artificial intelligence: a weapon against the truth!: https://benborges.xyz/2025/07/20/kremlins-artificial-intelligence-a-weapon.html

Anthropic's Threat Intelligence report for August says Claude was weaponized for sophisticated cybercrimes, including a "vibe-hacking" data extortion scheme (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

‘Vibe-hacking’ is now a top AI threat
Anthropic’s new Threat Intelligence report, out today, details the wide range of cases in which Claude — and likely many other leading AI agents and chatbots — are being abused.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions
Ruichen Zhang, Guangyuan Liu, Yinqiu Liu, Changyuan Zhao, Jiacheng Wang, Yunting Xu, Dusit Niyato, Jiawen Kang, Yonghui Li, Shiwen Mao, Sumei Sun, Xuemin Shen, Dong In Kim
https://arxiv.org/abs/2508.18725

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions
The rapid expansion of sixth-generation (6G) wireless networks and the Internet of Things (IoT) has catalyzed the evolution from centralized cloud intelligence towards decentralized edge general intelligence. However, traditional edge intelligence methods, characterized by static models and limited cognitive autonomy, fail to address the dynamic, heterogeneous, and resource-constrained scenarios inherent to emerging edge networks. Agentic artificial intelligence (Agentic AI) emerges as a transf…

Call for Papers: Religion and AI in Science Fiction and Horror
https://ift.tt/KxFGOHC
Book Title: A (Holy?) Ghost in the Machine: Religion and Artificial Intelligence in Science-Fiction…
via Input 4 RELCFP

Call for Papers: Religion and AI in Science Fiction and Horror
Book Title: A (Holy?) Ghost in the Machine: Religion and Artificial Intelligence in Science-Fiction and Horror Editor: Gregory Stevenson, York University The genres of Science-Fiction and Horror ha…

CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
Aoun E Muhammad, Kin Choong Yow, Jamel Baili, Yongwon Cho, Yunyoung Nam
https://arxiv.org/abs/2508.19281

CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
As the deployment of Artificial Intelligence (AI) systems in high-stakes sectors - like healthcare, finance, education, justice, and infrastructure has increased - the possibility and impact of failures of these systems have significantly evolved from being a theoretical possibility to practical recurring, systemic risk. This paper introduces CORTEX (Composite Overlay for Risk Tiering and Exposure), a multi-layered risk scoring framework proposed to assess and score AI system vulnerabilities, d…

Prediction of Distant Metastasis for Head and Neck Cancer Patients Using Multi-Modal Tumor and Peritumoral Feature Fusion Network
Zizhao Tang (School of Artificial Intelligence, Xidian University), Changhao Liu (Department of Radiotherapy, Xijing Hospital, Air Force Medical University of PLA), Nuo Tong (School of Artificial Intelligence, Xidian University), Shuiping Gou (School of Artificial Intelligence, Xidian University), Mei Shi (Department of Radiotherapy, Xijing Hospital, Air For…

Prediction of Distant Metastasis for Head and Neck Cancer Patients Using Multi-Modal Tumor and Peritumoral Feature Fusion Network
Metastasis remains the major challenge in the clinical management of head and neck squamous cell carcinoma (HNSCC). Reliable pre-treatment prediction of metastatic risk is crucial for optimizing treatment strategies and prognosis. This study develops a deep learning-based multimodal framework to predict metastasis risk in HNSCC patients by integrating computed tomography (CT) images, radiomics, and clinical data. 1497 HNSCC patients were included. Tumor and organ masks were derived from pretrea…

Probably Approximately Correct Causal Discovery
Mian Wei, Somesh Jha, David Page
https://arxiv.org/abs/2507.18903 https://arxiv.org/pdf/2507.18903

Probably Approximately Correct Causal Discovery
The discovery of causal relationships is a foundational problem in artificial intelligence, statistics, epidemiology, economics, and beyond. While elegant theories exist for accurate causal discovery given infinite data, real-world applications are inherently resource-constrained. Effective methods for inferring causal relationships from observational data must perform well under finite data and time constraints, where "performing well" implies achieving high, though not perfect accuracy. In hi…

AI is coming to the NFL, and it could transform the game https://www.nytimes.com/athletic/6446516/2025/06/24/nfl-ai-artificial-intelligence-investments-analytics-advantage/

DOGE built an AI tool to cut 50 percent of federal regulations
The U.S. DOGE Service is using a new artificial intelligence tool to slash federal regulations,
with the goal of eliminating half of Washington’s regulatory mandates by the first anniversary of Trump’s inauguration,

The tool, called the
“DOGE AI Deregulation Decision Tool,” is supposed to analyze roughly 200,000 federal regulations
to determine which can be eliminated as they are no longer required…

DOGE builds AI tool to cut 50 percent of federal regulations
The U.S. DOGE Service is using a new AI tool to eliminate federal regulations, aiming to cut 50 percent of rules by the first anniversary of President Donald Trump’s inauguration.

Denmark plans to clamp down on AI-generated deepfakes by changing copyright law to give its citizens rights to their own body, facial features, and voice (Miranda Bryant/The Guardian)
https://www.theguardian.com/technology/202

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
I. I. Priezzhev, D. A. Danko, A. V. Shubin
https://arxiv.org/abs/2508.18953 https://…

Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
Modern neural network technologies, including large language models, have achieved remarkable success in various applied artificial intelligence applications, however, they face a range of fundamental limitations. Among them are hallucination effects, high computational complexity of training and inference, costly fine-tuning, and catastrophic forgetting issues. These limitations significantly hinder the use of neural networks in critical areas such as medicine, industrial process management, a…

US FCC Communications Security, Reliability, and Interoperability Council IX
Publication
June 2025
Report on Threats Posed by Artificial Intelligence/Machine Learning Systems to the Security, Reliability and Integrity of Networks and Recommendations on How to Overcome Them
site: https://www.

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model
Sinnyum Choi, Woong Kim
https://arxiv.org/abs/2507.19990 https://

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model
Recently, competition in the field of artificial intelligence (AI) has intensified among major technological companies, resulting in the continuous release of new large-language models (LLMs) that exhibit improved language understanding and context-based reasoning capabilities. It is expected that these advances will enable more efficient personalized recommendations in LLM-based recommendation systems through improved quality of training data and architectural design. However, many studies hav…

Loving the study of artificial intelligence, and hating every single thing that people choose to build with the ideas that come out of it.

Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention
Zhongpan Tang
https://arxiv.org/abs/2508.20407 https://

Rethinking Transformer Connectivity: TLinFormer, A Path to Exact, Full Context-Aware Linear Attention
The Transformer architecture has become a cornerstone of modern artificial intelligence, but its core self-attention mechanism suffers from a complexity bottleneck that scales quadratically with sequence length, severely limiting its application in long-sequence tasks. To address this challenge, existing linear attention methods typically sacrifice model performance by relying on data-agnostic kernel approximations or restrictive context selection. This paper returns to the first principles of …

The Johns Hopkins University Press will license its authors' books to train AI models, citing concerns that "the window may be closing" for making AI deals (Ellie Wolfe/The Baltimore Banner)
https://www.thebaltimoreb…

Johns Hopkins University Press will license its authors’ books to train AI models
Authors at the Johns Hopkins University Press will be able to opt out of the AI licensing agreement until the end of August; if they do not, their work will be used to train AI models.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Putnam-AXIOM: A Functional and Static Benchmark for Measuring Higher Level Mathematical Reasoning...
Gulati, Miranda, Chen, Xia, Fronsdal, Dumont, Obbad, Koyejo

Strategic Motivators for Ethical AI System Development: An Empirical and Holistic Model
Muhammad Azeem Akbar, Arif Ali Khan, Saima Rafi, Damian Kedziora, Sami Hyrynsalmi
https://arxiv.org/abs/2507.20218

Strategic Motivators for Ethical AI System Development: An Empirical and Holistic Model
Artificial Intelligence (AI) presents transformative opportunities for industries and society, but its responsible development is essential to prevent unintended consequences. Ethically sound AI systems demand strategic planning, strong governance, and an understanding of the key drivers that promote responsible practices. This study aims to identify and prioritize the motivators that drive the ethical development of AI systems. A Multivocal Literature Review (MLR) and a questionnaire-based sur…

Gaze-Aware AI: Mathematical modeling of epistemic experience of the Marginalized for Human-Computer Interaction & AI Systems
Omkar Suresh Hatti
https://arxiv.org/abs/2507.19500

Gaze-Aware AI: Mathematical modeling of epistemic experience of the Marginalized for Human-Computer Interaction & AI Systems
The proliferation of artificial intelligence provides an opportunity to create psychological spaciousness in society. Spaciousness is defined as the ability to hold diverse interpersonal interactions and forms the basis for vulnerability that leads to authenticity that leads to prosocial behaviors and thus to societal harmony. This paper demonstrates an attempt to quantify, the human conditioning to subconsciously modify authentic self-expression to fit the norms of the dominant culture. Gaze i…

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
Jiaqi Wu, Jing Liu, Yang Liu, Lixu Wang, Zehua Wang, Wei Chen, Zijian Tian, Richard Yu, Victor C. M. Leung
https://arxiv.org/abs/2508.18803

A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
The proliferation of Internet of things (IoT) devices in smart cities, transportation, healthcare, and industrial applications, coupled with the explosive growth of AI-driven services, has increased demands for efficient distributed computing architectures and networks, driving cloud-edge-terminal collaborative intelligence (CETCI) as a fundamental paradigm within the artificial intelligence of things (AIoT) community. With advancements in deep learning, large language models (LLMs), and edge c…

Generative Artificial Intelligence and Agents in Research and Teaching
Jussi S. Jauhiainen, Aurora Toppari
https://arxiv.org/abs/2508.16701 https://arxiv.o…

Generative Artificial Intelligence and Agents in Research and Teaching
This study provides a comprehensive analysis of the development, functioning, and application of generative artificial intelligence (GenAI) and large language models (LLMs), with an emphasis on their implications for research and education. It traces the conceptual evolution from artificial intelligence (AI) through machine learning (ML) and deep learning (DL) to transformer architectures, which constitute the foundation of contemporary generative systems. Technical aspects, including prompting…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- Pseudo-Simulation for Autonomous Driving
Wei Cao, et al.
https://

Source: Meta hired four more OpenAI researchers, including key contributors to o1-mini and o3-mini, as Zuckerberg continues an unprecedented recruiting effort (Kalley Huang/The Information)
https://www.theinformation.com/articles/meta-hires-four-openai-r…

Meta Hires Four More OpenAI Researchers
Meta Platforms is hiring four more OpenAI artificial intelligence researchers as Meta CEO Mark Zuckerberg continues an unprecedented recruiting effort to catch up to his AI rivals. The researchers, Shengjia Zhao, Jiahui Yu, Shuchao Bi and Hongyu Ren, have each agreed to join, according to a ...

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/4]:
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar

Comparing Human and AI Performance in Visual Storytelling through Creation of Comic Strips: A Case Study
U\u{g}ur \"Onal, Sanem Sariel, Metin Sezgin, Ergun Akleman
https://arxiv.org/abs/2507.18641

Comparing Human and AI Performance in Visual Storytelling through Creation of Comic Strips: A Case Study
This article presents a case study comparing the capabilities of humans and artificial intelligence (AI) for visual storytelling. We developed detailed instructions to recreate a three-panel Nancy cartoon strip by Ernie Bushmiller and provided them to both humans and AI systems. The human participants were 20-something students with basic artistic training but no experience or knowledge of this comic strip. The AI systems used were popular commercial models trained to draw and paint like artist…

Sources: Pinecone, which provides an AI-compatible vector database, is exploring a sale after receiving takeover interest; Pinecone was valued at $750M in 2023 (The Information)
https://www.theinformation.com/articles/top-funded-ai-database-star…

Top-Funded AI Database Startup Pinecone Considers a Sale
When the artificial intelligence boom began a few years ago, investors flocked to startups that helped businesses transform and store proprietary data in a format AI could understand, known as a vector database. The technology allowed businesses to use a customized AI chatbot to search or ...

GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation
Guanyu Chen, Haoyue Jiao, Shuyang Hou, Ziqi Liu, Lutong Xie, Shaowen Wu, Huayi Wu, Xuefeng Guan, Zhipeng Gui
https://arxiv.org/abs/2507.20553

GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation
With the widespread adoption of large language models (LLMs) in code generation tasks, geospatial code generation has emerged as a critical frontier in the integration of artificial intelligence and geoscientific analysis. This trend underscores the urgent need for systematic evaluation methodologies to assess LLMs generation capabilities in geospatial contexts. In particular, geospatial computation and visualization tasks in JavaScript environments rely heavily on orchestrating diverse fronten…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/4]:
- From Evidence to Decision: Exploring Evaluative AI
Thao Le, Tim Miller, Liz Sonenberg, Ronal Singh, H. Peter Soyer

Sources: mass production of Microsoft's next AI chip is delayed to 2026 and is expected to underperform Nvidia's Blackwell chip, released in late 2024 (The Information)
https://www.theinformation.com/articles/microsofts-ai-chip-effort-falls-b…

Microsoft’s AI Chip Effort Falls Behind
Microsoft has spent years designing its own artificial intelligence chips, in part to reduce its dependence on Nvidia. It isn’t going so well. The software giant, which Nvidia employees say was its largest customer by revenue last year, is taking much longer than expected to design its ...

Ethics of Artificial Intelligence
Vincent C. M\"uller
https://arxiv.org/abs/2508.16658 https://arxiv.org/pdf/2508.16658…

Ethics of Artificial Intelligence
Artificial intelligence (AI) is a digital technology that will be of major importance for the development of humanity in the near future. AI has raised fundamental questions about what we should do with such systems, what the systems themselves should do, what risks they involve and how we can control these. - After the background to the field (1), this article introduces the main debates (2), first on ethical issues that arise with AI systems as objects, i.e. tools made and used by humans; her…

The Johns Hopkins University Press will license its authors' books to train AI models, citing concerns that "the window may be closing" for making AI deals (Ellie Wolfe/The Baltimore Banner)
https://www.thebaltimoreb…

Johns Hopkins University Press will license its authors’ books to train AI models
Authors at the Johns Hopkins University Press will be able to opt out of the AI licensing agreement until the end of August; if they do not, their work will be used to train AI models.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/7]:
- Decomposing Behavioral Phase Transitions in LLMs: Order Parameters for Emergent Misalignment
Julian Arnold, Niels L\"orch

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Lillian Asiala, James E. McCarthy
https://arxiv.org/abs/2507.18878

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Sonalysts, Inc. (Sonalysts) is working on an initiative to expand our expertise in teaming to include Human-Artificial Intelligence (AI) teams. The first step of this process is to develop a Synthetic Task Environment (STE) to support our original research. Prior knowledge elicitation efforts within the Human-AI teaming research stakeholder community revealed a desire to support data collection using pre- and post-performance surveys. In this technical report, we review a number of constructs t…

How online fandom communities are advocating against AI, including protesting companies scraping fanfic content for AI training and opposing AI-generated fanfic (Decca Muldowney/The Verge)
https://www.theverge.com/ai-artificial-intelligence/688640/fanficti…

Fanfiction writers battle AI, one scrape at a time
‘It is a gift. They stole it without my permission.’

AIUC, which offers enterprises insurance policies and audits for AI agents, emerges from stealth with a $15M seed led by Nat Friedman at NFDG (Sharon Goldman/Fortune)
https://fortune.com/2025/07/23/ai-agent-insurance-startup-aiuc-stealth-1…

Exclusive: Who covers the damage when an AI agent goes rogue? This startup has an insurance policy for that
As AI agents start taking on real-world tasks, Artificial Intelligence Underwriting Company (AIUC) is offering a new kind of safety net: audits, standards—and liability insurance.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/7]:
- NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in ...
Aritra Dutta, Swapnanil Mukherjee, Deepanway Ghosal, Somak Aditya

Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
You Wu, Philip E. Bourne, Lei Xie
https://arxiv.org/abs/2507.19568 https://ar…

Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery
Artificial intelligence (AI) has sparked immense interest in drug discovery, but most current approaches only digitize existing high-throughput experiments. They remain constrained by conventional pipelines. As a result, they do not address the fundamental challenges of predicting drug effects in humans. Similarly, biomedical digital twins, largely grounded in real-world data and mechanistic models, are tailored for late-phase drug development and lack the resolution to model molecular interact…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/7]:
- Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Bo...
Deng, Lee, Kim, Min, Yun, Ban, Yul, Song

How online fandom communities are advocating against AI, including protesting companies scraping fanfic content for AI training and opposing AI-generated fanfic (Decca Muldowney/The Verge)
https://www.theverge.com/ai-artificial-intelligence/688640/fanficti…

Fanfiction writers battle AI, one scrape at a time
‘It is a gift. They stole it without my permission.’

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/7]:
- Automatic Question & Answer Generation Using Generative Large Language Model (LLM)
Md. Alvee Ehsan, A. S. M Mehedi Hasan, Kefaya Benta Shahnoor, Syeda Sumaiya Tasneem

What Makes AI Applications Acceptable or Unacceptable? A Predictive Moral Framework
Kimmo Eriksson, Simon Karlsson, Irina Vartanova, Pontus Strimling
https://arxiv.org/abs/2508.19317

What Makes AI Applications Acceptable or Unacceptable? A Predictive Moral Framework
As artificial intelligence rapidly transforms society, developers and policymakers struggle to anticipate which applications will face public moral resistance. We propose that these judgments are not idiosyncratic but systematic and predictable. In a large, preregistered study (N = 587, U.S. representative sample), we used a comprehensive taxonomy of 100 AI applications spanning personal and organizational contexts-including both functional uses and the moral treatment of AI itself. In particip…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/7]:
- AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
Xueyang Li, Mingze Jiang, Gelei Xu, Jun Xia, Mengzhao Jia, Danny Chen, Yiyu Shi

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/7]:
- Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior
Zhuotao Lian, Weiyu Wang, Qingkui Zeng, Toru Nakanishi, Teruaki Kitasuka, Chunhua Su

Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
Lucas G. Uberti-Bona Marin, Bram Rijsbosch, Gerasimos Spanakis, Konrad Kollnig
https://arxiv.org/abs/2508.19313

Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K forms
As Artificial Intelligence becomes increasingly central to corporate strategies, concerns over its risks are growing too. In response, regulators are pushing for greater transparency in how companies identify, report and mitigate AI-related risks. In the US, the Securities and Exchange Commission (SEC) repeatedly warned companies to provide their investors with more accurate disclosures of AI-related risks; recent enforcement and litigation against companies' misleading AI claims reinforce thes…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/7]:
- MovieCORE: COgnitive REasoning in Movies
Faure, Chen, Yeh, Cheng, Su, Tang, Lai, Hsu

Demystifying AI in Criminal Justice
Richard Berk
https://arxiv.org/abs/2507.19305 https://arxiv.org/pdf/2507.19305

Demystifying AI in Criminal Justice
There is widespread confusion among criminal justice practitioners and legal scholars about the use of artificial intelligence in criminal justice. This didactic review is written for readers with little or no background in statistics or computer science. It is not intended to replace more technical treatments. It is intended to supplement them and encourage readers to dig more deeply into topics that strike their fancy.

How AI is reshaping the perfume industry, as fragrance tech startup Osmo promises 48-hour sample turnarounds and incumbents like DSM-Firmenich embrace the tech (Arabelle Sicardi/The Verge)
https://www.theverge.com/ai-artificial-intelligence/691050/perfume-ai

How AI infiltrated perfume
Some say it’s innovation. Others call it erasure.

Epistemic Trade-Off: An Analysis of the Operational Breakdown and Ontological Limits of "Certainty-Scope" in AI
Generoso Immediato
https://arxiv.org/abs/2508.19304 htt…

Epistemic Trade-Off: An Analysis of the Operational Breakdown and Ontological Limits of "Certainty-Scope" in AI
Floridi's conjecture offers a compelling intuition about the fundamental trade-off between certainty and scope in artificial intelligence (AI) systems. This exploration remains crucial, not merely as a philosophical exercise, but as a potential compass for guiding AI investments, particularly in safety-critical industrial domains where the level of attention will surely be higher in the future. However, while intellectually coherent, its formalization ultimately freezes this insight into a susp…

[2025-08-28 Thu (UTC), 17 new articles found for cs.AI Artificial Intelligence]
toXiv_bot_toot

EyeAI: AI-Assisted Ocular Disease Detection for Equitable Healthcare Access
Shiv Garg, Ginny Berkemeier
https://arxiv.org/abs/2507.20346 https://arxiv.org/…

EyeAI: AI-Assisted Ocular Disease Detection for Equitable Healthcare Access
Ocular disease affects billions of individuals unevenly worldwide. It continues to increase in prevalence with trends of growing populations of diabetic people, increasing life expectancies, decreasing ophthalmologist availability, and rising costs of care. We present EyeAI, a system designed to provide artificial intelligence-assisted detection of ocular diseases, thereby enhancing global health. EyeAI utilizes a convolutional neural network model trained on 1,920 retinal fundus images to auto…

IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems
Pauline Speckmann, Mario Nadj, Christian Janiesch
https://arxiv.org/abs/2506.21310

IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems
Although several post-hoc methods for explainable AI have been developed, most are static and neglect the user perspective, limiting their effectiveness for the target audience. In response, we developed the interactive explainable intelligent system called IXAII that offers explanations from four explainable AI methods: LIME, SHAP, Anchors, and DiCE. Our prototype provides tailored views for five user groups and gives users agency over the explanations' content and their format. We evaluated I…

Sources: Mark Zuckerberg and his lieutenants have discussed "de-investing" in Llama in favor of AI models from competitors like OpenAI and Anthropic (New York Times)
https://www.nytimes.com/2025/06/27/technology/mark-zuckerberg-meta-ai.html

Mark Zuckerberg Ramps Up Meta’s A.I. Spending as Competition Heats Up
Unhappy with his company’s artificial intelligence efforts, Meta’s C.E.O. is on a spending spree as he reconsiders his strategy in the contest to invent a hypothetical “superintelligence.”

Differentiating hype from practical applications of large language models in medicine - a primer for healthcare professionals
Elisha D. O. Roberson
https://arxiv.org/abs/2507.19567

Differentiating hype from practical applications of large language models in medicine - a primer for healthcare professionals
The medical ecosystem consists of the training of new clinicians and researchers, the practice of clinical medicine, and areas of adjacent research. There are many aspects of these domains that could benefit from the application of task automation and programmatic assistance. Machine learning and artificial intelligence techniques, including large language models (LLMs), have been promised to deliver on healthcare innovation, improving care speed and accuracy, and reducing the burden on staff f…

PitchBook: US VC investment in AI startups rose 33% QoQ to $65B in Q1, up 550% from the quarter prior to ChatGPT's 2022 release (Cade Metz/New York Times)
https://www.nytimes.com/2025/06/27/technology/ai-spending-openai-amazon-meta.html…

A.I. Frenzy Escalates as OpenAI, Amazon and Meta Supersize Spending
Companies like OpenAI, Amazon and Meta have supersized their spending on artificial intelligence, with no signs of slowing down.

Melania Trump says she hopes to become the First Lady of Technology as she leads the Presidential AI Challenge to inspire children and teachers to embrace AI (Miranda Devine/New York Post)
https://nypost.com/2025/08/25/opinion/

Exclusive | First lady Melania Trump will head effort to teach next generation about AI
First lady Melania Trump will lead the Presidential Artificial Intelligence Challenge to inspire children and teachers to embrace AI technology and help accelerate innovation in the field.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/4]:
- Overcoming classic challenges for artificial neural networks by providing incentives and practice
Kazuki Irie, Brenden M. Lake

The music industry is developing tools to detect AI-generated music across the music pipeline, with a focus on licensing and control rather than takedowns (Jack Buehrer/The Verge)
https://www.theverge.com/ai-artificial-int

The music industry is building the tech to hunt down AI songs
With no way to stop the onslaught of AI music, the industry is taking a different approach: figuring out how to make money off of it.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
- Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models
Xinyu Chen, Haotian Zhai, Can Zhang, Xiupeng Shi, Ruirui Li

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- DIDS: Domain Impact-aware Data Sampling for Large Language Model Training
Shi, Zhang, Wu, Fang, Zhang, Xu, Zhu, Chen, Zhao, Han, Zhou

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/4]:
- AI-Powered CPS-Enabled Urban Transportation Digital Twin: Methods and Applications
Fu, Turkcan, Ghasemi, Mo, Zang, Adhikari, Kostic, Zussman, Di

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/7]:
- Hierarchical Decision-Making for Autonomous Navigation: Integrating Deep Reinforcement Learning a...
Yizhi Wang, Degang Xu, Yongfang Xie, Shuzhong Tan, Xianan Zhou, Peng Chen

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/7]:
- Domain-aligned generative downscaling enhances projections of extreme climate events
Ruian Tie, Xiaohui Zhong, Zhengyu Shi, Hao Li, Jun Liu, Wu Libo

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/7]:
- Set Transformer Architectures and Synthetic Data Generation for Flow-Guided Nanoscale Localization
Hube, Lemic, Shitiri, Bartra, Abadal, P\'erez

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/7]:
- On Task Vectors and Gradients
Zhou, Solombrino, Crisostomi, Bucarelli, D'Inverno, Silvestri, Rodol\`a

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/7]:
- Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D T Biological Tissue Dynamics
Kaan Berke Ugurlar, Joaqu\'in de Navascu\'es, Michael Taynnan Barros

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/7]:
- Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models
Xie, Ma, Liu, Pang, Li, Zhang, Liao, Ye, Miao, Yan

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/7]:
- Learning in Focus: Detecting Behavioral and Collaborative Engagement Using Vision Transformers
Penchala, Kontham, Bhattacharjee, Karami, Ghahremani, Golilarz, Rahimi

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compres...
Kautsar, Hariono, , Abu Ishaq Alfarozi, Woraratpanya

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
Yihe Tang, Wenlong Huang, Yingke Wang, Chengshu Li, Roy Yuan, Ruohan Zhang, Jiajun Wu, Li Fei-Fei

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/5]:
- Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Long Kiu Chung, Shreyas Kousik

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- Rethinking Distribution Shifts: Empirical Analysis and Inductive Modeling for Tabular Data
Tianyu Wang, Jiashuo Liu, Peng Cui, Hongseok Namkoong

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- A Survey on Causal Discovery: Theory and Practice
Alessio Zanga, Elif Ozkirimli, Fabio Stella

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- ZeST: an LLM-based Zero-Shot Traversability Navigation for Unknown Environments
Shreya Gummadi, Mateus V. Gasparino, Gianluca Capezzuto, Marcelo Becker, Girish Chowdhary

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/6]:
- Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
Xu, Zhu, Xu, Lv, Huang, Wang, Wu, Qian, Zheng, Huang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/6]:
- Cross-Learning Fine-Tuning Strategy for Dysarthric Speech Recognition Via CDSD database
Qing Xiao, Yingshan Peng, PeiPei Zhang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- Beyond prior knowledge: The predictive role of knowledge-building in Tutor Learning
Tasmia Shahriar, Mia Ameen, Aditi Mallavarapu, Shiyan Jiang, Noboru Matsuda

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/6]:
- Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning
Jiangfeng Sun, Sihao He, Zhonghong Ou, Meina Song

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/6]:
- Technology-assisted Personalized Yoga for Better Health - Challenges and Outlook
Vivek Kumar, Himanshu Sahu, Hari Prabhat Gupta, Biplav Srivastava