Tootfinder

Senate Republicans share an AI-generated video falsely depicting Chuck Schumer saying on camera comments he made in a print interview on the government shutdown (Thomas Beaumont/Associated Press)
https://apnews.com/article/schumer-art

GOP uses AI-generated video in anti-Schumer ad
Senate Republican campaign leaders are using artificial intelligence-generated video to falsely depict Senate Democratic Leader Chuck Schumer appearing to say on camera comments he made in a print publication interview about the political impacts of the partial government shutdown. The 30-second digital ad from the National Republican Senate Committee features the Democratic New York senator appearing to say on camera about the shutdown, now in its 3rd week, “Every day gets better for us.” …

Smartphone user experience designs still don't have decent intelligent graphical interfaces, speech interfaces, or text interfaces... though maybe a few things have changed since 2017. https://bookofadamz.com/when-will-smartphones-be-intelligent/

Islamic State group and other extremists are turning to AI | AP News
https://apnews.com/article/islamic-state-group-artificial-intelligence-deepfakes-ba201d23b91dbab95f6a8e7ad8b778d5

Perspectives and potential issues in using artificial intelligence for computer science education
Juho Veps\"al\"ainen, Petri Juntunen
https://arxiv.org/abs/2509.13730

Perspectives and potential issues in using artificial intelligence for computer science education
Since its launch in late 2022, ChatGPT has ignited widespread interest in Large Language Models (LLMs) and broader Artificial Intelligence (AI) solutions. As this new wave of AI permeates various sectors of society, we are continually uncovering both the potential and the limitations of existing AI tools. The need for adjustment is particularly significant in Computer Science Education (CSEd), as LLMs have evolved into core coding tools themselves, blurring the line between programming aids a…

Anthropic announces Skills for Claude, a tool with folders of instructions, scripts, and resources that Claude can load to improve performance on some tasks (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-intelligence/800868/anthro…

Anthropic turns to ‘skills’ to make Claude more useful at work
Anthropic has announced a new feature for its Claude AI chatbot called Skills, which should make AI agents more useful.

#RealEstate listing photos edited through artificial intelligence create false impressions of homes for sale online. How A.I. slop is making house hunting in #USA even more dishonest and distorted than ever before.

Inspections by Taiwan's National Security Bureau (NSB) of five Chinese generative AI apps -- Deepseek, Doubao (豆包), Yiyan (文心一言), Tongyi (通義千問), and Yuanbao (騰訊元寶) -- found violations of users' communication security across several indicators.
https://focustaiwan.tw/cross-strait/2025…

Taiwan warns of biases, data breach in Deepseek, other Chinese AI - Focus Taiwan
The National Security Bureau (NSB) has urged Taiwanese people to be on alert when using Chinese generative artificial intelligence (AI) language models due to potential security breaches and the spread of "disinformation" following recent inspections of five such apps.

Is #AI really just dumb statistics? "Olympiad-level physics problem-solving presents a significant challenge for both humans and artificial intelligence (AI), as it requires a sophisticated integration of precise calculation, abstract reasoning, and a fundamental grasp of physical principles," says the (abstract of the) paper https://arxiv.org/abs/2511.10515: "The Chinese Physics Olympiad (CPhO), renowned for its complexity and depth, serves as an ideal and rigorous testbed for these advanced capabilities. In this paper, we introduce LOCA-R (LOgical Chain Augmentation for Reasoning), an improved version of the LOCA framework adapted for complex reasoning, and apply it to the CPhO 2025 theory examination. LOCA-R achieves a near-perfect score of 313 out of 320 points, solidly surpassing the highest-scoring human competitor and significantly outperforming all baseline methods." Oops ...?

Tokyo-based Sakana AI becomes Japan's most valuable unicorn at a ~$2.6B valuation, following a ~$130M raise from Mitsubishi UFJ Financial and US VC firms (Nikkei Asia)
https://asia.nikkei.com/business/technology/a…

Sakana AI takes crown as Japan's most valuable unicorn
AI developer valued at $2.63bn in latest funding round

Sounds like we need to find where the Cluely CEO is illegally living in his office in SoMa and throw him out. He's the guy who started the company with the motto "cheat on anything". https://www.nytimes.com/2025/10/16/technology/san-francisco-rent-ai-boo…

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

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

Autonomous Reporting of Normal Chest X-rays by Artificial Intelligence in the United Kingdom. Can We Take the Human Out of the Loop?
Katrina Nash, James Vaz, Ahmed Maiter, Christopher Johns, Nicholas Woznitza, Aditya Kale, Abdala Espinosa Morgado, Rhidian Bramley, Mark Hall, David Lowe, Alex Novak, Sarim Ather
https://arxiv.org/abs/2509.13…

Autonomous Reporting of Normal Chest X-rays by Artificial Intelligence in the United Kingdom. Can We Take the Human Out of the Loop?
Chest X-rays (CXRs) are the most commonly performed imaging investigation. In the UK, many centres experience reporting delays due to radiologist workforce shortages. Artificial intelligence (AI) tools capable of distinguishing normal from abnormal CXRs have emerged as a potential solution. If normal CXRs could be safely identified and reported without human input, a substantial portion of radiology workload could be reduced. This article examines the feasibility and implications of autonomou…

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Benjamin Sterling, Yousef El-Laham, M\'onica F. Bugallo
https://arxiv.org/abs/2509.14225

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Recent advances in generative artificial intelligence applications have raised new data security concerns. This paper focuses on defending diffusion models against membership inference attacks. This type of attack occurs when the attacker can determine if a certain data point was used to train the model. Although diffusion models are intrinsically more resistant to membership inference attacks than other generative models, they are still susceptible. The defense proposed here utilizes criticall…

Everyone wants to steal fire from the gods, but no-one wants to have their liver pecked out by eagles.
https://www.theverge.com/news/821943/jeff-bezos-project-prometheus-co-ceo-funding-ai-startup

Jeff Bezos will be co-CEO of AI startup Project Prometheus
Project Prometheus, with Bezos as co-CEO, will use artificial intelligence to improve manufacturing for computers, cars, and spacecraft.

AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity
Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen
https://arxiv.org/abs/2509.14171

AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity
Recent advancements in multimodal large language models (MLLMs) have garnered significant attention, offering a promising pathway toward artificial general intelligence (AGI). Among the essential capabilities required for AGI, creativity has emerged as a critical trait for MLLMs, with association serving as its foundation. Association reflects a model' s ability to think creatively, making it vital to evaluate and understand. While several frameworks have been proposed to assess associative abi…

Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments
Matthias Huemmer, Theophile Shyiramunda, Michelle J. Cummings-Koether
https://arxiv.org/abs/2510.11530

Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments
This paper proposes a rigorous framework to examine the two-way relationship between artificial intelligence (AI), human cognition, problem-solving, and cultural adaptation across academic and business settings. It addresses a key gap by asking how AI reshapes cognitive processes and organizational norms, and how cultural values and institutional contexts shape AI adoption, trust, and use over time. We employ a three-wave longitudinal design that tracks AI knowledge, perceived competence, trust…

Mind the Ethics! The Overlooked Ethical Dimensions of GenAI in Software Modeling Education
Shalini Chakraborty, Lola Burgue\~no, Nathalie Moreno, Javier Troya, Paula Mu\~noz
https://arxiv.org/abs/2509.13896

Mind the Ethics! The Overlooked Ethical Dimensions of GenAI in Software Modeling Education
Generative Artificial Intelligence (GenAI) is rapidly gaining momentum in software modeling education, embraced by both students and educators. As GenAI assists with interpreting requirements, formalizing models, and translating students' mental models into structured notations, it increasingly shapes core learning outcomes such as domain comprehension, diagrammatic thinking, and modeling fluency without clear ethical oversight or pedagogical guidelines. Yet, the ethical implications of this in…

Understanding the Process of Human-AI Value Alignment
Jack McKinlay, Marina De Vos, Janina A. Hoffmann, Andreas Theodorou
https://arxiv.org/abs/2509.13854 https://

Understanding the Process of Human-AI Value Alignment
Background: Value alignment in computer science research is often used to refer to the process of aligning artificial intelligence with humans, but the way the phrase is used often lacks precision. Objectives: In this paper, we conduct a systematic literature review to advance the understanding of value alignment in artificial intelligence by characterising the topic in the context of its research literature. We use this to suggest a more precise definition of the term. Methods: We analyse 172 …

"AI adoption in US adds ~900,000 tons of CO₂ annually, study finds"
#AI #ArtificialIntelligence #Technology

AI adoption in US adds ~900,000 tons of CO₂ annually, study finds
A new study published in Environmental Research Letters finds that continued growth in artificial intelligence (AI) use across the United States could add approximately 900,000 tons of CO₂ annually. This is not a small amount but equates to a relatively minor increase when viewed in the context of nationwide emissions.

Ensuring a National Policy Framework for Artificial Intelligence (President Donald J. Trump/The White House)
https://www.whitehouse.gov/presidential-actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/
http://www.memeorandum.com/251211/p143#a251211p143

Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy
Arna Ghosh, Zahraa Chorghay, Shahab Bakhtiari, Blake A. Richards
https://arxiv.org/abs/2509.13459

Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy
Biological and artificial intelligence systems navigate the fundamental efficiency-robustness tradeoff for optimal encoding, i.e., they must efficiently encode numerous attributes of the input space while also being robust to noise. This challenge is particularly evident in hierarchical processing systems like the human brain. With a view towards understanding how systems navigate the efficiency-robustness tradeoff, we turned to a population geometry framework for analyzing representations in t…

Explainable AI-Enhanced Supervisory Control for High-Precision Spacecraft Formation
Reza Pirayeshshirazinezhad
https://arxiv.org/abs/2509.13331 https://arx…

Explainable AI-Enhanced Supervisory Control for High-Precision Spacecraft Formation
We use artificial intelligence (AI) and supervisory adaptive control systems to plan and optimize the mission of precise spacecraft formation. Machine learning and robust control enhance the efficiency of spacecraft precision formation of the Virtual Telescope for X-ray Observation (VTXO) space mission. VTXO is a precise formation of two separate spacecraft making a virtual telescope with a one-kilometer focal length. One spacecraft carries the lens and the other spacecraft holds the camera to …

#GoldmanSachs sees AI as the #NextBigThing and isn’t blinking as it dumps investments into the #ArtificialIntelligence abyss... Analysts expect AI adoption to lift U.S.

[2025-09-18 Thu (UTC), 25 new articles found for cs.AI Artificial Intelligence]
toXiv_bot_toot

So #Disney is actually wanting people to make Sora #AI videos with their property? That is a recipe for disaster.
h…

Trump Orders States Not to Protect Children From Predatory AI: "States have been the only effective line of defense against AI harms."
On the topic of states rights, Donald Trump doesn’t exactly follow the party line. During his first term, he couched himself in populist, small-government rhetoric — even as he attacked individual states that dared to defend migrants and legalize marijuana.

Trump Orders States Not to Protect Children From Predatory AI
Donald Trump recently signed an executive order allowing his administration to attack states that try to regulate artificial intelligence.

McDonald's Netherlands pulls an AI-generated Christmas ad, made by ad agency TBWA\NEBOKO with film production company The Sweetshop, after social media backlash (Joe Wilkins/Futurism)
https://futurism.com/artificial-intelligence/mcdonalds-ai-generated-comme…

McDonald’s Pulls Down AI-Generated Holiday Ad After Deluge of Mockery
McDonald's Netherlands is catching flak for a stupefying AI-generated video, which was roundly condemned on social media.

A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
Md Masud Rana, Farjana Tasnim Mukta, Duc D. Nguyen
https://arxiv.org/abs/2509.13476 https://

A Geometric Graph-Based Deep Learning Model for Drug-Target Affinity Prediction
In structure-based drug design, accurately estimating the binding affinity between a candidate ligand and its protein receptor is a central challenge. Recent advances in artificial intelligence, particularly deep learning, have demonstrated superior performance over traditional empirical and physics-based methods for this task, enabled by the growing availability of structural and experimental affinity data. In this work, we introduce DeepGGL, a deep convolutional neural network that integrates…

A Universal Banach--Bregman Framework for Stochastic Iterations: Unifying Stochastic Mirror Descent, Learning and LLM Training
Johnny R. Zhang (Independent Researcher), Xiaomei Mi (University of Manchester), Gaoyuan Du (Amazon), Qianyi Sun (Microsoft), Shiqi Wang (Meta), Jiaxuan Li (Amazon), Wenhua Zhou (Independent Researcher)
https://arx…

A Universal Banach--Bregman Framework for Stochastic Iterations: Unifying Stochastic Mirror Descent, Learning and LLM Training
Stochastic optimization powers the scalability of modern artificial intelligence, spanning machine learning, deep learning, reinforcement learning, and large language model training. Yet, existing theory remains largely confined to Hilbert spaces, relying on inner-product frameworks and orthogonality. This paradigm fails to capture non-Euclidean settings, such as mirror descent on simplices, Bregman proximal methods for sparse learning, natural gradient descent in information geometry, or Kullb…

"I do not want to sound like a tin-foil hat conspiracy theorist, but your country, your neighbourhood, your job…your entire life is already controlled by artificial intelligence. If you do not like the bit in Star Trek: Discovery where we find that Control has taken over Starfleet, then I have bad news: an AI is running the military, too."

Artificial Intelligence, Bias, And Opportunity
I do not want to sound like a tin-foil hat conspiracy theorist, but your country, your neighbourhood, your job…your entire life is already controlled by artificial intelligence. If you do not like the bit in Star Trek: Discovery where we find that Control has taken over Starfleet, then I have bad news: an AI is running the military, too.

What a world.
Artificial Intelligence (AI) for Canadian Energy Innovation Call for Proposals
https://natural-resources.canada.ca/funding-partnerships/artificial-intelligence-canadian-energy-innovation

a16z releases a nine-pillar AI policy framework for Congress, including restricting AI use for under-13s without parental consent and keeping a role for states (Punchbowl News)
https://punchbowl.news/article/tech/a16z-ai/

Here are a16z’s ideas for Congress on AI
Andreessen Horowitz is laying out a framework on Wednesday that it wants Congress to take up for artificial intelligence.

Free artificial intelligence technology released by Chinese tech companies appears to be more powerful and popular than that developed by American rivals
https://www.washingtonpost.com/technology/2025/10/13/china-us-open-source-ai/

Analysis | China leads the U.S. on this measure of technological influence
China’s open AI models are now more powerful and popular than those released by American rivals, a shift with implications for the future of technology.

Designing Psychometric Bias Measures for ChatBots: An Application to Racial Bias Measurement
Mouhacine Benosman
https://arxiv.org/abs/2509.13324 https://ar…

Designing Psychometric Bias Measures for ChatBots: An Application to Racial Bias Measurement
Artificial intelligence (AI), particularly in the form of large language models (LLMs) or chatbots, has become increasingly integrated into our daily lives. In the past five years, several LLMs have been introduced, including ChatGPT by OpenAI, Claude by Anthropic, and Llama by Meta, among others. These models have the potential to be employed across a wide range of human-machine interaction applications, such as chatbots for information retrieval, assistance in corporate hiring decisions, coll…

Sources: AI startup Project Prometheus raised $6.2B, including from Jeff Bezos, who will become co-CEO, his first operational role since leaving Amazon in 2021 (Cade Metz/New York Times)
https://www.nytimes.com/2025/11/17/technology/bezos-project-prometheus.html

Jeff Bezos Creates A.I. Start-Up Where He Will Be Co-Chief Executive
Called Project Prometheus, the company is focusing on artificial intelligence for the engineering and manufacturing of computers, automobiles and spacecraft.

Manus says it crossed $100M ARR eight months after launch and is growing at 20% MoM since Manus 1.5's release; its total revenue run rate is now over $125M (Jake Rudnitsky/Bloomberg)
https://www.bloomberg.com/news/articles/20

Manus Says Sales Hit $125 Million Run Rate Months After Launch
Chinese AI pioneer Manus said its annual run rate for revenue is over $125 million, eight months after it released artificial intelligence agents designed to help execute tasks for users.

Artificial Intelligence for Optimal Learning: A Comparative Approach towards AI-Enhanced Learning Environments
Ananth Hariharan
https://arxiv.org/abs/2510.11755 https://

Artificial Intelligence for Optimal Learning: A Comparative Approach towards AI-Enhanced Learning Environments
In the rapidly evolving educational landscape, the integration of technology has shifted from an enhancement to a cornerstone of educational strategy worldwide. This transition is propelled by advancements in digital technology, especially the emergence of artificial intelligence as a crucial tool in learning environments. This research project critically evaluates the impact of three distinct educational settings: traditional educational methods without technological integration, those enhance…

Artificial intelligence as a surrogate brain: Bridging neural dynamical models and data
Yinuo Zhang, Demao Liu, Zhichao Liang, Jiani Cheng, Kexin Lou, Jinqiao Duan, Ting Gao, Bin Hu, Quanying Liu
https://arxiv.org/abs/2510.10308

Artificial intelligence as a surrogate brain: Bridging neural dynamical models and data
Recent breakthroughs in artificial intelligence (AI) are reshaping the way we construct computational counterparts of the brain, giving rise to a new class of ``surrogate brains''. In contrast to conventional hypothesis-driven biophysical models, the AI-based surrogate brain encompasses a broad spectrum of data-driven approaches to solve the inverse problem, with the primary objective of accurately predicting future whole-brain dynamics with historical data. Here, we introduce a unified framewo…

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Wissam Salhab, Darine Ameyed, Hamid Mcheick, Fehmi Jaafar
https://arxiv.org/abs/2510.12713

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Robustness in AI systems refers to their ability to maintain reliable and accurate performance under various conditions, including out-of-distribution (OOD) samples, adversarial attacks, and environmental changes. This is crucial in safety-critical systems, such as autonomous vehicles, transportation, or healthcare, where malfunctions could have severe consequences. This paper proposes an approach to improve OOD detection without the need of labeled data, thereby increasing the AI systems' robu…

Total #SolarEclipse triggers dawn behavior in birds: Insights from acoustic recordings and community science: https://www.science.org/doi/10.1126/science.adx3025 -> "Compiling more than 10,000 community observations and artificial intelligence analyses of nearly 100,000 vocalizations, we found that bird behavior was substantially affected by these few minutes of unexpected afternoon darkness. More than half of wild bird species changed their biological rhythms, with many producing a dawn chorus in the aftermath of the eclipse. This natural experiment underscores the power of light in structuring animal behavior: Even when 'night' lasts for just 4 minutes, robust behavioral changes ensue." -> "Variation in species response also informs us about variation in sensitivity to light, with implications for the impacts of artificial light."

Reproducible workflow for online AI in digital health
Susobhan Ghosh, Bhanu T. Gulapalli, Daiqi Gao, Asim Gazi, Anna Trella, Ziping Xu, Kelly Zhang, Susan A. Murphy
https://arxiv.org/abs/2509.13499

Reproducible workflow for online AI in digital health
Online artificial intelligence (AI) algorithms are an important component of digital health interventions. These online algorithms are designed to continually learn and improve their performance as streaming data is collected on individuals. Deploying online AI presents a key challenge: balancing adaptability of online AI with reproducibility. Online AI in digital interventions is a rapidly evolving area, driven by advances in algorithms, sensors, software, and devices. Digital health intervent…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- ICL-Router: In-Context Learned Model Representations for LLM Routing
Wang, Li, Zhang, Chen, Chen, Jian, Ye, Zhang, Hu

CogniAlign: Survivability-Grounded Multi-Agent Moral Reasoning for Safe and Transparent AI
Hasin Jawad Ali, Ilhamul Azam, Ajwad Abrar, Md. Kamrul Hasan, Hasan Mahmud
https://arxiv.org/abs/2509.13356

CogniAlign: Survivability-Grounded Multi-Agent Moral Reasoning for Safe and Transparent AI
The challenge of aligning artificial intelligence (AI) with human values persists due to the abstract and often conflicting nature of moral principles and the opacity of existing approaches. This paper introduces CogniAlign, a multi-agent deliberation framework based on naturalistic moral realism, that grounds moral reasoning in survivability, defined across individual and collective dimensions, and operationalizes it through structured deliberations among discipline-specific scientist agents. …

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/6]:
- StegOT: Trade-offs in Steganography via Optimal Transport
Chengde Lin, Xuezhu Gong, Shuxue Ding, Mingzhe Yang, Xijun Lu, Chengjun Mo

Evaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
Benjamin J. Walker, Beatriz Navarro Lameda, Ruth A. Reynolds
https://arxiv.org/abs/2509.13359

Evaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
Generative artificial intelligence (GenAI) tools such as OpenAI's ChatGPT are transforming the educational landscape, prompting reconsideration of traditional assessment practices. In parallel, universities are exploring alternatives to in-person, closed-book examinations, raising concerns about academic integrity and pedagogical alignment in uninvigilated settings. This study investigates whether traditional closed-book mathematics examinations retain their pedagogical relevance when hypotheti…

Salesforce says it expects FY 2030 revenue of $60B , vs. $58.37B est., excluding impact from the $8B pending acquisition of data management company Informatica (Jordan Novet/CNBC)
https://www.cnbc.com/2025/10/15/salesforce-stock-jumps-a…

Salesforce stock jumps after company offers rosy forecast for 2030
Salesforce is counting on Agentforce artificial intelligence software to pull in more revenue from customers.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/6]:
- VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Int...
Sam Yu-Te Lee, Chenyang Ji, Shicheng Wen, Lifu Huang, Dongyu Liu, Kwan-Liu Ma

Uncovering AI Governance Themes in EU Policies using BERTopic and Thematic Analysis
Delaram Golpayegani, Marta Lasek-Markey, Arjumand Younus, Aphra Kerr, Dave Lewis
https://arxiv.org/abs/2509.13387

Uncovering AI Governance Themes in EU Policies using BERTopic and Thematic Analysis
The upsurge of policies and guidelines that aim to ensure Artificial Intelligence (AI) systems are safe and trustworthy has led to a fragmented landscape of AI governance. The European Union (EU) is a key actor in the development of such policies and guidelines. Its High-Level Expert Group (HLEG) issued an influential set of guidelines for trustworthy AI, followed in 2024 by the adoption of the EU AI Act. While the EU policies and guidelines are expected to be aligned, they may differ in their …

How AI-powered tools like PainChek, an app that scans a person's face for tiny muscle movements, are helping healthcare providers better assess patients' pain (Deena Mousa/MIT Technology Review)

AI is changing how we quantify pain
Artificial intelligence is helping health-care providers better assess their patients’ discomfort.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- Query Brand Entity Linking in E-Commerce Search
Dong Liu, Sreyashi Nag
https://

Lightspeed raised a record $9B across six funds to invest in AI, with $3.3B to back breakout companies like Anthropic; Lightspeed has backed 165 AI startups (Erin Griffith/New York Times)
https://www.nytimes.com/2025/12/15/technology/ai-venture-capital-big-fun…

In A.I. Boom, Venture Capital Firms Are Raising Loads More Money
Lightspeed Venture Partners, a Silicon Valley venture firm, has amassed more than $9 billion to invest in artificial intelligence. That is its biggest haul.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/6]:
- TripScore: Benchmarking and rewarding real-world travel planning with fine-grained evaluation
Yincen Qu, Huan Xiao, Feng Li, Gregory Li, Hui Zhou, Xiangying Dai

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/6]:
- Causal Agent based on Large Language Model
Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu

OpenAI says GPT-5.2 Thinking hallucinates less than GPT-5.1 and has improved reliability for agentic AI needs; pre-release testers include Notion, Box, Shopify (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-intelligence/842529/open…

OpenAI calls GPT-5.2 the best model yet for professionals
OpenAI has launched GPT-5.2, which it calls its best AI model yet for professional use.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/6]:
- Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/6]:
- Unconditional Human Motion and Shape Generation via Balanced Score-Based Diffusion
David Bj\"orkstrand, Tiesheng Wang, Lars Bretzner, Josephine Sullivan

McDonald's Netherlands pulls an AI-generated Christmas ad, made by TBWA\NEBOKO with film production company Sweetshop, after backlash that the ad is distasteful (Joe Wilkins/Futurism)
https://futurism.com/artificial-intelligence/mcdonalds-ai-generated-comme…

McDonald’s Pulls Down AI-Generated Holiday Ad After Deluge of Mockery
McDonald's Netherlands is catching flak for a stupefying AI-generated video, which was roundly condemned on social media.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/6]:
- TFGA-Net: Temporal-Frequency Graph Attention Network for Brain-Controlled Speaker Extraction
Youhao Si, Yuan Liao, Qiushi Han, Yuhang Yang, Rui Dai, Liya Huang

A look at Model Context Protocol and how it went from a passion project made by Anthropic employees to an industry standard shared through the Linux Foundation (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

AI companies want a new internet — and they think they’ve found the key
Anthropic is donating MCP to the Linux Foundation, to be governed under the Agentic AI Foundation, with other members including OpenAI, Google, and Block.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/6]:
- An AI-Based Behavioral Health Safety Filter and Dataset for Identifying Mental Health Crises in T...
Nelson, Wong, Silvestrini, Shin, Robinson, Lee, Yang, Torous, Trister

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/6]:
- Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
Rizal Fathony, Igor Melnyk, Owen Reinert, Nam H. Nguyen, Daniele Rosa, C. Bayan Bruss

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/6]:
- Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring
Fraol Batole, et al.

Foxconn reports Q3 revenue of $66.3B, in line with estimates, net profit up 17% YoY to $1.86B, vs. $1.63B exp., says it expects significant YoY growth in Q4 (CNBC)
https://www.cnbc.com/2025/11/12/foxconn-hon-hai-third-quarter…

Nvidia supplier Foxconn third-quarter profit beats expectations, rising 17% on AI demand
Foxconn, the world's largest contract electronics maker, reported Wednesday that its third-quarter profit jumped 17% from a year earlier.

Elon Musk says Grok 5 would be released "in Q1 sometime", later than a deadline he previously set of releasing the model by the end of 2025 (Theo Wayt/The Information)
https://www.theinformation.com/briefings/elon-musks-xai-delays-grok-5-rele…

Elon Musk’s xAI Delays Grok 5 Release to Next Year
XAI plans to release its next-generation Grok 5 artificial intelligence model in the first three months of next year, CEO Elon Musk said on Friday. That’s later than a deadline Musk had previously set of releasing the model by the end of 2025. In an interview with the investor Ron Baron, who has backed several Musk companies including xAI, Musk said that Grok 5 would be released “in Q1

Sources: Stockholm-based vibe coding startup Lovable is in talks to raise funding at a valuation of ~$6B, up from $1.8B in July when it raised a $200M Series A (Iain Martin/Forbes)
https://www.forbes.com/sites/iainmartin/20

Vibe Coding Startup Lovable In Talks To Raise At $6 Billion Valuation
The Stockholm-based startup that uses artificial intelligence to code apps and websites for its users is in talks to raise a new round at triple its last valuation from just four months ago.

Marc Benioff says Salesforce is saving about $100M a year by using AI tools in its customer service operations (Brody Ford/Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-14/salesforce-says-ai-customer-service-saves…

Salesforce Says AI Customer Service Saves $100 Million Annually
Salesforce Inc. said it’s saving about $100 million a year by using artificial intelligence tools in the software company’s customer service operations.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[14/14]:
- Local MAP Sampling for Diffusion Models
Shaorong Zhang, Rob Brekelmans, Greg Ver Steeg

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[13/14]:
- Learning to Reason as Action Abstractions with Scalable Mid-Training RL
Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang

Sources: OpenAI is working with Arm to develop a CPU designed to work with the AI chip OpenAI is developing with Broadcom, which will be manufactured by TSMC (The Information)
https://www.theinformation.com/articles/openai-working-softbanks-arm-br…

OpenAI Is Working With SoftBank’s Arm on Broadcom AI Chip Effort
OpenAI’s development of its own artificial intelligence chip will benefit SoftBank, one of its biggest shareholders, which is also helping the ChatGPT maker develop and finance its ambitious data center plan. OpenAI is working with SoftBank’s Arm subsidiary to develop a central processing unit ...

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[12/14]:
- Clip Your Sequences Fairly: Enforcing Length Fairness for Sequence-Level RL
Hanyi Mao, Quanjia Xiao, Lei Pang, Haixiao Liu

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[11/14]:
- Agentic large language models improve retrieval-based radiology question answering
Wind, Sopa, Truhn, Lotfinia, Nguyen, Bressem, Adams, Rusu, K\"ostler, Wellein, Maier, Arasteh

New York- and London-based ClaimSorted, which uses AI to help speed up insurance claims and works with 20 insurers, raised a $13.3M seed led by Atomico (Robert Olsen/Forbes)
https://www.forbes.com/sites/robertolsen-1

This Startup Raised $13.3 Million To Inject AI Into One Of The World’s Slowest Industries
Armed with fresh capital, ClaimSorted is using artificial intelligence to ensure insurance claims get paid without the pain.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[10/14]:
- On Convolutions, Intrinsic Dimension, and Diffusion Models
Kin Kwan Leung, Rasa Hosseinzadeh, Gabriel Loaiza-Ganem

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/14]:
- Equivalent Linear Mappings of Large Language Models
James R. Golden
https://

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/14]:
- From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement...
David Dinucu-Jianu, Jakub Macina, Nico Daheim, Ido Hakimi, Iryna Gurevych, Mrinmaya Sachan

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/14]:
- QAMA: Scalable Quantum Annealing Multi-Head Attention Operator for Deep Learning
Peng Du, Jinjing Shi, Wenxuan Wang, Yin Ma, Kai Wen, Xuelong Li

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/14]:
- AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via A...
Alkin, Bleeker, Kurle, Kronlachner, Sonnleitner, Dorfer, Brandstetter

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/14]:
- QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
Wang, Huang, Tian, Su, Yu, Liao, Fan, Guo, Cheng

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/14]:
- An approach for systematic decomposition of complex llm tasks
Tianle Zhou, Jiakai Xu, Guanhong Liu, Jiaxiang Liu, Haonan Wang, Eugene Wu

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/14]:
- Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self...
Zhaolong Wu, Pu Luo, Nan Meng, Jason Pui Yin Cheung, Teng Zhang

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/14]:
- TCP: a Benchmark for Temporal Constraint-Based Planning
Zifeng Ding, Sikuan Yan, Zhangdie Yuan, Xianglong Hu, Fangru Lin, Andreas Vlachos

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/14]:
- Fake News in Social Networks
Christoph Aymanns, Jakob Foerster, Co-Pierre Georg, Matthias Weber

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[17/17]:
- Attention Factors for Statistical Arbitrage
Elliot L. Epstein, Rose Wang, Jaewon Choi, Markus Pelger

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[16/17]:
- Living Off the LLM: How LLMs Will Change Adversary Tactics
Sean Oesch, Jack Hutchins, Luke Koch, Kevin Kurian

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[15/17]:
- A Large-Language-Model Assisted Automated Scale Bar Detection and Extraction Framework for Scanni...
Yuxuan Chen, Ruotong Yang, Zhengyang Zhang, Mehreen Ahmed, Yanming Wang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[14/17]:
- HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction
Shuwei Chen, Jiajun Cui, Zhengqi Xu, Fan Zhang, Jiangke Fan, Teng Zhang, Xingxing Wang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[13/17]:
- Judge Before Answer: Can MLLM Discern the False Premise in Question?
Jidong Li, Lingyong Fang, Haodong Zhao, Sufeng Duan, Gongshen Liu

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[12/17]:
- VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering
Zhenghan Tai, et al.

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[11/17]:
- Deep Learning in Astrophysics
Yuan-Sen Ting
https://arxi…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[10/17]:
- Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
Kanishkha Jaisankar, Xiaoyang Jiang, Feifan Liao, Jeethu Sreenivas Amuthan

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/17]:
- Hierarchical LoRA MoE for Efficient CTR Model Scaling
Zeng, Hang, Liu, Liu, Lin, Qiu, Wei, Liu, Yuan, Yang, Liu, Yin, Yang, Tong

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/17]:
- MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient Reasoning
Chen, Lei, Zhang, Ke, Zhu, Chen, Lu, Huang, Feng, He, Sun, Wu, Wang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/17]:
- Formally Verified Certification of Unsolvability of Temporal Planning Problems
David Wang, Mohammad Abdulaziz

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/17]:
- Uncovering Singularities in Feynman Integrals via Machine Learning
Yuanche Liu, Yingxuan Xu, Yang Zhang

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/17]:
- Conformal Sparsification for Bandwidth-Efficient Edge-Cloud Speculative Decoding
Payel Bhattacharjee, Fengwei Tian, Meiyu Zhong, Guangyi Zhang, Osvaldo Simeone, Ravi Tandon

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/17]:
- Towards Understanding Ambiguity Resolution in Multimodal Inference of Meaning
Yufei Wang, Adriana Kovashka, Loretta Fern\'andez, Marc N. Coutanche, Seth Wiener

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/17]:
- Preference-Aware Memory Update for Long-Term LLM Agents
Haoran Sun, Zekun Zhang, Shaoning Zeng

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/17]:
- Leveraging LLMs to Streamline the Review of Public Funding Applications
Joao D. S. Marques, Andre V. Duarte, Andre Carvalho, Gil Rocha, Bruno Martins, Arlindo L. Oliveira

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/17]:
- Detecting Conspiracy Theory Against COVID-19 Vaccines
Md Hasibul Amin, Harika Madanu, Sahithi Lavu, Hadi Mansourifar, Dana Alsagheer, Weidong Shi