Tootfinder

“If you don’t like <insert Big Tech here>, just don’t use it” is a refrain I’ve often heard. Been warning folks for years that these things will become no longer optional. Maybe we need a new colloquialism; a corollary to “fuck around and find out.” Maybe “stay indifferent and find out?” https://mastodon.green/@g…

CB Insights: the number of AI unicorns reached 498 with a combined value of $2.7T, 100 founded since 2023, and over 1,300 AI startups valued above $100M (Robert Frank/CNBC)
https://www.cnbc.com/2025/08/10/ai-artificial-intelligence-billionaires-wealth.html…

AI is creating new billionaires at a record pace
With time, and IPOs, many of today's private AI fortunes will eventually become more liquid, providing a historic opportunity for wealth management firms

This is of historical interest on so many levels.
When the notion of AI first appeared, chess was considered the epitome of intelligence (before that it was calculating)—which, of course, it isn’t. Now AI is all about pattern recognition, which certainly covers more of what we associate with human intelligence, but go figure, it’s not *just* pattern recognition either. ⇢

Researchers hide AI prompts in papers: https://asia.nikkei.com/Business/Technology/Artificial-intelligence/Positive-review-only-Researchers-hide-AI-prompts-in-papers

'Positive review only': Researchers hide AI prompts in papers
Instructions in preprints from 14 universities highlight controversy on AI in peer review

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
Donglin Wang, Anjie Qiu, Qiuheng Zhou, Hans D. Schotten
https://arxiv.org/abs/2506.09512

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
The rapid advancement of Vehicle-to-Everything (V2X) communication is transforming Intelligent Transportation Systems (ITS), with 6G networks expected to provide ultra-reliable, low-latency, and high-capacity connectivity for Connected and Autonomous Vehicles (CAVs). Artificial Intelligence (AI) and Machine Learning (ML) have emerged as key enablers in optimizing V2X communication by enhancing network management, predictive analytics, security, and cooperative driving due to their outstanding p…

I’ve been having a conversation in my head with my friend Jac Mullen. One of his provocative ideas is that we’re better off dropping the term “artificial intelligence,” and instead calling these new technologies “artificial attention.”
#ai
#attention

Artificial Attention?
A letter to my friend Jac Mullen on AI and attention, looking at the 12th century history of reading with Ivan Illich's book In the Vineyard of the Text.

"[Chain of reasoning] reports are untrustworthy on principle: they are plausible explanations for plausible responses, and since the inferences involved are more complex, they burn more compute and carbon per query as well as introducing more mistakes"
This is a particularly offensive point about #LLMs: we actually do have a class of systems, inference engines, which do reason and can…

Artificial intelligence is the opposite of education
Or: what if there is no middle ground?

"Artificial Intelligence Through the Lens of the Cataloguing Code of Ethics" #AI

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/7]:
- A novel language model for predicting serious adverse event results in clinical trials from their...
Qixuan Hu, Xumou Zhang, Jinman Kim, Florence Bourgeois, Adam G. Dunn

The problem of course is that our problems are complex.
“Advanced AI suffers ‘complete accuracy collapse’ in face of complex problems, study finds” - https://www.theguardian.com/technology/2025/jun/09/apple-artificial-intelligence-ai-study-c…

YouTube plans to start testing an age verification system in the US that uses AI to differentiate between adults and minors, first with a small number of users (Michael Liedtke/Associated Press)
https://apnews.com/article/youtube-video-age-ve…

YouTube testing a new age verification system in the U.S.
YouTube is ready to start testing a new age-verification system in the U.S. using artificial intelligence to distinguish between adults and minors based on their viewing habits. The tests, scheduled to being Wednesday, initially affect a small portion of YouTube's U.S. audience. If successful, the system could become more widespread. It works when viewers are logged into their accounts, regardless of the birth date entered. If flagged as under 18, users face restrictions like privacy warnings a…

Nach 18 Jahren vergeblichen Kinderwunschs wurde ein Paar mithilfe von #KI schwanger.
Das Columbia University Fertility Center nutzte die neue STAR-Methode, um in einer #Samenprobe mit #Azoospermie

A couple tried for 18 years to get pregnant. AI made it happen
After trying to conceive for 18 years, one couple is now pregnant with their first child thanks to the power of artificial intelligence.

This is of historical interest on so many levels.
When the notion of AI first appeared, chess was considered the epitome of intelligence (before that it was calculating)—which, of course, it isn’t. Now AI is all about pattern recognition, which certainly covers more of what we associate with human intelligence, but go figure, it’s not *just* pattern recognition either. ⇢

This is of historical interest on so many levels.
When the notion of AI first appeared, chess was considered the epitome of intelligence (before that it was calculating)—which, of course, it isn’t. Now AI is all about pattern recognition, which certainly covers more of what we associate with human intelligence, but go figure, it’s not *just* pattern recognition either. ⇢

If we just not talk about bad things, they surely don’t exist!
https://thebulletin.org/2025/07/ai-for-good-with-caveats-how-a-keynote-speaker-was-censored-during-an-international-artificial-intelligence-summit/#post-heading

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era
Lorenzo Arboit, Dennis N. Schneider, Toby Collins, Daniel A. Hashimoto, Silvana Perretta, Bernard Dallemagne, Jacques Marescaux, EAES Working Group, Nicolas Padoy, Pietro Mascagni
https://arxiv.org/abs/2506.08258

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era
Artificial Intelligence (AI) is transforming medicine, with generative AI models like ChatGPT reshaping perceptions of its potential. This study examines surgeons' awareness, expectations, and involvement with AI in surgery through comparative surveys conducted in 2021 and 2024. Two cross-sectional surveys were distributed globally in 2021 and 2024, the first before an IRCAD webinar and the second during the annual EAES meeting. The surveys assessed demographics, AI awareness, expectations, inv…

Interview with Craig Federighi and Greg Joswiak on Apple's struggles to ship AI features, demoed in 2024, with the "V1 Siri architecture" and work on a V2 model (Lance Ulanoff/TechRadar)
https://www.techra…

This is what really happened with Siri and Apple Intelligence, according to Apple
Is it a delay, a strategy... or something else?

Meta is preparing to unveil a new artificial intelligence research lab
dedicated to pursuing “superintelligence,”
a hypothetical A.I. system that exceeds the powers of the human brain,
as the tech giant jockeys to stay competitive in the technology race,
according to four people with the knowledge of the company’s plans.
Meta has tapped Alexandr Wang, 28,
the founder and chief executive of the A.I. start-up Scale AI,
to join the new lab, the people s…

Meta Is Creating a New A.I. Lab to Pursue ‘Superintelligence’
The new lab, set to include the Scale AI founder Alexandr Wang, is part of a reorganization of Meta’s artificial intelligence efforts under Mark Zuckerberg.

Call for Papers: Religion and AI in Science Fiction and Horror
https://ift.tt/cQEWn28
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…

Leveraging LLMs for Mission Planning in Precision Agriculture
Marcos Abel Zuzu\'arregui, Stefano Carpin
https://arxiv.org/abs/2506.10093 https://

Leveraging LLMs for Mission Planning in Precision Agriculture
Robotics and artificial intelligence hold significant potential for advancing precision agriculture. While robotic systems have been successfully deployed for various tasks, adapting them to perform diverse missions remains challenging, particularly because end users often lack technical expertise. In this paper, we present an end-to-end system that leverages large language models (LLMs), specifically ChatGPT, to enable users to assign complex data collection tasks to autonomous robots using na…

What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps
Vinaik Chhetri, Krishna Upadhyay, A. B. Siddique, Umar Farooq
https://arxiv.org/abs/2506.10785

What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps
Artificial Intelligence (AI)-powered features have rapidly proliferated across mobile apps in various domains, including productivity, education, entertainment, and creativity. However, how users perceive, evaluate, and critique these AI features remains largely unexplored, primarily due to the overwhelming volume of user feedback. In this work, we present the first comprehensive, large-scale study of user feedback on AI-powered mobile apps, leveraging a curated dataset of 292 AI-driven apps ac…

Multiverse Privacy Theory for Contextual Risks in Complex User-AI Interactions
Ece Gumusel
https://arxiv.org/abs/2506.10042 https://a…

Multiverse Privacy Theory for Contextual Risks in Complex User-AI Interactions
In an era of increasing interaction with artificial intelligence (AI), users face evolving privacy decisions shaped by complex, uncertain factors. This paper introduces Multiverse Privacy Theory, a novel framework in which each privacy decision spawns a parallel universe, representing a distinct potential outcome based on user choices over time. By simulating these universes, this theory provides a foundation for understanding privacy through the lens of contextual integrity, evolving preferenc…

Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers
Caroline M. Johnston, Olga Koumoundouros, Angel Hsing-Chi Hwang, Laura Onasch-Vera, Eric Rice, Phebe Vayanos
https://arxiv.org/abs/2508.07129

Toward AI Matching Policies in Homeless Services: A Qualitative Study with Policymakers
Artificial intelligence researchers have proposed various data-driven algorithms to improve the processes that match individuals experiencing homelessness to scarce housing resources. It remains unclear whether and how these algorithms are received or adopted by practitioners and what their corresponding consequences are. Through semi-structured interviews with 13 policymakers in homeless services in Los Angeles, we investigate whether such change-makers are open to the idea of integrating AI i…

Unitary Scrambling and Collapse: A Quantum Diffusion Framework for Generative Modeling
Yihua Li, Jiayi Chen, Tamanna S. Kumavat, Kyriakos Flouris
https://arxiv.org/abs/2506.10571 …

Unitary Scrambling and Collapse: A Quantum Diffusion Framework for Generative Modeling
Quantum computing, with its promise of exponential speedups, is rapidly emerging as a powerful paradigm for advancing artificial intelligence. We propose QSC-Diffusion, the first fully quantum diffusion-based framework for image generation. Our method integrates classical Gaussian noise with quantum scrambling in the forward process, and employs parameterized quantum circuits with measurement-induced collapse for reverse denoising -- enabling end-to-end sampling without reliance on classical ne…

As electric bills rise, evidence mounts that data centers share blame. States feel pressure to act (Marc Levy/Associated Press)
https://apnews.com/article/electricity-prices-data-centers-artificial-intelligence-fbf213a915fb574a4f3e5baaa7041c3a
http://www.memeorandum.com/250809/p51#a250809p51

6G Infrastructures for Edge AI: An Analytical Perspective
Kurt Horvath, Shpresa Tuda, Blerta Idrizi, Stojan Kitanov, Fisnik Doko, Dragi Kimovski
https://arxiv.org/abs/2506.10570

6G Infrastructures for Edge AI: An Analytical Perspective
The convergence of Artificial Intelligence (AI) and the Internet of Things has accelerated the development of distributed, network-sensitive applications, necessitating ultra-low latency, high throughput, and real-time processing capabilities. While 5G networks represent a significant technological milestone, their ability to support AI-driven edge applications remains constrained by performance gaps observed in real-world deployments. This paper addresses these limitations and highlights criti…

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/7]:
- MMET: A Multi-Input and Multi-Scale Transformer for Efficient PDEs Solving
Yichen Luo, Jia Wang, Dapeng Lan, Yu Liu, Zhibo Pang

OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
Shady Agwa, Yihan Pan, Georgios Papandroulidakis, Themis Prodromakis
https://arxiv.org/abs/2508.08822

OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
Artificial Intelligence models are currently driven by a significant up-scaling of their complexity, with massive matrix multiplication workloads representing the major computational bottleneck. In-memory computing architectures are proposed to avoid the Von Neumann bottleneck. However, both digital/binary-based and analogue in-memory computing architectures suffer from various limitations, which significantly degrade the performance and energy efficiency gains. This work proposes OISMA, a nove…

Conspiracy to Commit: Information Pollution, Artificial Intelligence, and Real-World Hate Crime
Alberto Aziani, Michael V. Lo Giudice, Ali Shadman Yazdi
https://arxiv.org/abs/2507.07884

Conspiracy to Commit: Information Pollution, Artificial Intelligence, and Real-World Hate Crime
Is demand for conspiracy theories online linked to real-world hate crimes? By analyzing online search trends for 36 racially and politically-charged conspiracy theories in Michigan (2015-2019), we employ a one-dimensional convolutional neural network (1D-CNN) to predict hate crime occurrences offline. A subset of theories including the Rothschilds family, Q-Anon, and The Great Replacement improves prediction accuracy, with effects emerging two to three weeks after fluctuations in searches. Howe…

Hands-on with Alexa : fun to talk to and good at handling multistep requests, but it is buggy, unreliable, and worse at some basic tasks than the original Alexa (Kevin Roose/New York Times)
https://www.nytimes.com/2025/0…

Alexa Got an A.I. Brain Transplant. How Smart Is It Now?
It took Amazon several years to overcome technical hurdles as it remade its voice assistant with new artificial intelligence technology.

Adaptive Multiple Access and Service Placement for Generative Diffusion Models
Hamidreza Mazandarani, Mohammad Farhoudi, Masoud Shokrnezhad, Tarik Taleb
https://arxiv.org/abs/2508.07978

Adaptive Multiple Access and Service Placement for Generative Diffusion Models
Generative Diffusion Models (GDMs) have emerged as key components of Generative Artificial Intelligence (GenAI), offering unparalleled expressiveness and controllability for complex data generation tasks. However, their deployment in real-time and mobile environments remains challenging due to the iterative and resource-intensive nature of the inference process. Addressing these challenges, this paper introduces a unified optimization framework that jointly tackles service placement and multipl…

"The real threat posed by generative AI is not that it will eliminate work on a mass scale, rendering human labour obsolete. It is that, left unchecked, it will continue to transform work in ways that deepen precarity, intensify surveillance, and widen existing inequalities."
"The current trajectory of generative AI reflects the priorities of firms seeking to lower costs, discipline workers, and consolidate profits — not any drive to enhance human flourishing. If we allo…

Is the AI Bubble About to Burst?
In the years since Automation and the Future of Work first appeared, a new wave of technological enthusiasm has swept across the popular imagination. The catalyst this time has been the rapid advances in generative artificial intelligence, spearheaded by companies like OpenAI, Google DeepMind, and Meta. Once again, a c

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- Artificial Intelligence Software Structured to Simulate Human Working Memory, Mental Imagery, and...
Jared Edward Reser

Thief of Truth: VR comics about the relationship between AI and humans
Joonhyung Bae
https://arxiv.org/abs/2506.10012 https://arxiv.o…

Thief of Truth: VR comics about the relationship between AI and humans
Thief of Truth is a first-person perspective Virtual Reality (VR) comic that explores the relationship between humans and artificial intelligence (AI). The work tells the story of a mind-uploaded human being reborn as a new subject while interacting with an AI that is looking for the meaning of life. In order to experiment with the expandability of VR comics, the work was produced by focusing on three problems. First, the comic is designed using the viewing control effect of VR. Second, through…

RT: @PsyPost (X)
A new study suggests that people who view artificial intelligence positively may be more likely to overuse social media. The findings highlight a potential link between attitudes toward AI and problematic online behavior, especially among male users.
https://www.

Positive attitudes toward AI linked to more prone to problematic social media use
A new study suggests that people who view artificial intelligence positively may be more likely to overuse social media. The findings highlight a potential link between attitudes toward AI and problematic online behavior, especially among male users.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/7]:
- Bidirectional Hierarchical Protein Multi-Modal Representation Learning
Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick Stevens

Parspec, whose AI-powered workflow tool automates procurement processes in the construction supply chain, raised a $20M Series A led by Threshold Ventures (Mary Ann Azevedo/Crunchbase News)
https://news.crunchbase.com/ai/construction-supply-chain-startup-parspec/

Exclusive: AI-Powered Construction Procurement Startup Lands $20M Series A 
Parspec, a startup using artificial intelligence to improve efficiency in the construction industry supply chain to help sales agents and wholesale distributors “efficiently bid and supply” construction products, has raised $20 million in a Series A funding, the company told Crunchbase News exclusively.

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture
Marcos Abel Zuzu\'arregui, Mustafa Melih Toslak, Stefano Carpin
https://arxiv.org/abs/2506.10106

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture
Artificial intelligence is transforming precision agriculture, offering farmers new tools to streamline their daily operations. While these technological advances promise increased efficiency, they often introduce additional complexity and steep learning curves that are particularly challenging for non-technical users who must balance tech adoption with existing workloads. In this paper, we present a natural language (NL) robotic mission planner that enables non-specialists to control heterogen…

Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations
Andrea Gaggioli, Sabrina Bartolotta, Andrea Ubaldi, Katusha Gerardini, Eleonora Diletta Sarcinella, Alice Chirico
https://arxiv.org/abs/2506.10249

Extended Creativity: A Conceptual Framework for Understanding Human-AI Creative Relations
Artificial Intelligence holds significant potential to enhance human creativity. However, achieving this vision requires a clearer understanding of how such enhancement can be effectively realized. Adopting the perspective of distributed creativity, we identify three primary modes through which AI can contribute to creative processes: Support, where AI acts as a tool; Synergy, where AI and humans collaborate in complementary ways; and Symbiosis, where human and AI cognition become so integrated…

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Rohit Mehra, Priyavanshi Pathania, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam P. Burden
https://arxiv.org/abs/2506.09370

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
Advances in technologies like artificial intelligence and metaverse have led to a proliferation of software systems in business and everyday life. With this widespread penetration, the carbon emissions of software are rapidly growing as well, thereby negatively impacting the long-term sustainability of our environment. Hence, optimizing software from a sustainability standpoint becomes more crucial than ever. We believe that the adoption of automated tools that can identify energy-inefficient p…

Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change
Adrian Rauchfleisch, Joshua Philip Suarez, Nikka Marie Sales, Andreas Jungherr
https://arxiv.org/abs/2507.06876

Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change
Public product launches in Artificial Intelligence can serve as focusing events for collective attention, surfacing how societies react to technological change. Social media provide a window into the sensemaking around these events, surfacing hopes and fears and showing who chooses to engage in the discourse and when. We demonstrate that public sensemaking about AI is shaped by economic interests and cultural values of those involved. We analyze 3.8 million tweets posted by 1.6 million users ac…

SAG-AFTRA ends the 300 day video game actors strike after reaching a tentative deal for a new Interactive Media Agreement with the major video game companies (Erik Hayden/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

SAG-AFTRA Suspends Strike Against Video Game Companies, Paving Way for Return to Work
The union had taken a stand on artificial intelligence, among other concerns, as it looked to advocate for voice and performance capture workers.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/7]:
- Generative AI for Cel-Animation: A Survey
Tang, Guo, Liu, Wang, Hua, Zhong, Xiao, Huang, Song, Liang, Song, He, Bi, Feng, Li, Zhang, Xu

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers
Yimeng Sun, Zhaohao Ding, Payman Dehghanian, Fei Teng
https://arxiv.org/abs/2508.06994 https://

Learning-Enabled Adaptive Power Capping Scheme for Cloud Data Centers
The rapid growth of the digital economy and artificial intelligence has transformed cloud data centers into essential infrastructure with substantial energy consumption and carbon emission, necessitating effective energy management. However, existing methods face challenges such as incomplete information, uncertain parameters, and dynamic environments, which hinder their real-world implementation. This paper proposes an adaptive power capping framework tailored to cloud data centers. By dynamic…

Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Benjamin Laufer, Hamidah Oderinwale, Jon Kleinberg
https://arxiv.org/abs/2508.06811 https://

Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face
Many have observed that the development and deployment of generative machine learning (ML) and artificial intelligence (AI) models follow a distinctive pattern in which pre-trained models are adapted and fine-tuned for specific downstream tasks. However, there is limited empirical work that examines the structure of these interactions. This paper analyzes 1.86 million models on Hugging Face, a leading peer production platform for model development. Our study of model family trees -- networks th…

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

Internal docs: Fidelity, TPG, Sequoia, and others are buying ~$250M worth of shares in xAI under a tender offer valuing it at $113B; Fidelity is purchasing $20M (New York Times)
https://www.nytimes.com/2025/06/12/business/xai-elon-musk-investors.html

Elon Musk’s xAI Is Getting $250 Million in Investments From TPG, Sequoia and Others
Two dozen venture capital firms and other investors are investing in xAI, the artificial intelligence and social media company.

Ultra Ethernet's Design Principles and Architectural Innovations
Torsten Hoefler, Karen Schramm, Eric Spada, Keith Underwood, Cedell Alexander, Bob Alverson, Paul Bottorff, Adrian Caulfield, Mark Handley, Cathy Huang, Costin Raiciu, Abdul Kabbani, Eugene Opsasnick, Rong Pan, Adee Ran, Rip Sohan
https://arxiv.org/abs/2508.08906

Ultra Ethernet's Design Principles and Architectural Innovations
The recently released Ultra Ethernet (UE) 1.0 specification defines a transformative High-Performance Ethernet standard for future Artificial Intelligence (AI) and High-Performance Computing (HPC) systems. This paper, written by the specification's authors, provides a high-level overview of UE's design, offering crucial motivations and scientific context to understand its innovations. While UE introduces advancements across the entire Ethernet stack, its standout contribution is the novel Ultra…

Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models
Lipei Xie, Yingxin Li, Huiping Zhuang
https://arxiv.org/abs/2506.09623

Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models
Embodied foundation models are crucial for Artificial Intelligence (AI) interacting with the physical world by integrating multi-modal inputs, such as proprioception, vision and language, to understand human intentions and generate actions to control robots. While these models demonstrate strong generalization and few-shot learning capabilities, they face significant challenges in continually acquiring new skills without forgetting previously learned skills, a problem known as catastrophic forg…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/7]:
- A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Lea...
Yadav, Raffel, Muqeeth, Caccia, Liu, Chen, Bansal, Choshen, Sordoni

Intergenerational AI Literacy in Korean Immigrant Families: Interpretive Gatekeeping Meets Convenient Critical Deferment
Jeongone Seo, Ryan Womack, Tawfiq Ammari
https://arxiv.org/abs/2506.10197

Intergenerational AI Literacy in Korean Immigrant Families: Interpretive Gatekeeping Meets Convenient Critical Deferment
As artificial intelligence (AI) becomes deeply integrated into family life, immigrant families must navigate unique intergenerational, linguistic, and cultural challenges. This study examines how Korean immigrant families in the United States negotiate the use of AI tools such as ChatGPT and smart assistants in their homes. Through 20 semi-structured interviews with parents and teens, we identify two key practices that shape their engagement: interpretive gatekeeping, where parents mediate thei…

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
Holli Sargeant, Mackenzie Jorgensen, Arina Shah, Adrian Weller, Umang Bhatt
https://arxiv.org/abs/2508.07872

Unequal Uncertainty: Rethinking Algorithmic Interventions for Mitigating Discrimination from AI
Uncertainty in artificial intelligence (AI) predictions poses urgent legal and ethical challenges for AI-assisted decision-making. We examine two algorithmic interventions that act as guardrails for human-AI collaboration: selective abstention, which withholds high-uncertainty predictions from human decision-makers, and selective friction, which delivers those predictions together with salient warnings or disclosures that slow the decision process. Research has shown that selective abstention b…

AutoGEEval : A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine
Shuyang Hou, Zhangxiao Shen, Huayi Wu, Haoyue Jiao, Ziqi Liu, Lutong Xie, Chang Liu, Jianyuan Liang, Yaxian Qing, Xiaopu Zhang, Dehua Peng, Zhipeng Gui, Xuefeng Guan
https://

AutoGEEval++: A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine
Geospatial code generation is becoming a key frontier in integrating artificial intelligence with geo-scientific analysis, yet standardised automated evaluation tools for this task remain absent. This study presents AutoGEEval++, an enhanced framework building on AutoGEEval, and the first automated assessment system for large language models (LLMs) generating geospatial code on Google Earth Engine (GEE). It supports diverse data modalities and varying task complexities. Built on the GEE Python …

Bittensor Protocol: The Bitcoin in Decentralized Artificial Intelligence? A Critical and Empirical Analysis
Elizabeth Lui, Jiahao Sun
https://arxiv.org/abs/2507.02951

Bittensor Protocol: The Bitcoin in Decentralized Artificial Intelligence? A Critical and Empirical Analysis
This paper investigates whether Bittensor can be considered the Bitcoin of decentralized Artificial Intelligence by directly comparing its tokenomics, decentralization properties, consensus mechanism, and incentive structure against those of Bitcoin. Leveraging on-chain data from all 64 active Bittensor subnets, we first document considerable concentration in both stake and rewards. We further show that rewards are overwhelmingly driven by stake, highlighting a clear misalignment between qualit…

Call for Papers: Religion and AI in Science Fiction and Horror
https://ift.tt/busR1GA
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…

Sources: OpenAI and Windsurf talks ended after Windsurf raised concerns over how its tech would fit into OpenAI's agreement to share tech with Microsoft (The Information)
https://www.theinformation.com/articles/openai-windsurf-break-a…

Google to Pay $2.4 Billion for Windsurf Staff, IP After Startup Ends OpenAI Talks
OpenAI’s discussions to buy Windsurf, the maker of a popular artificial intelligence coding assistant formerly known as Codeium, have ended. Instead, Google will hire Windsurf’s CEO, Varun Mohan, and some of the startup’s staff, both Google and Windsurf said. The monthslong talks between OpenAI ...

It's hard to know who to be sorrier for. The 9,000 who are losing their jobs, or the rest who are going to have to take on not only the additional work of clearing up the mess the AI makes, but also the work of their dismissed colleagues.
#Microsoft
#StochasticParrots
…

Microsoft to cut up to 9,000 jobs as it invests in AI
The US tech giant will axe 4% of its global workforce and plough money into artificial intelligence.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/7]:
- H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autono...
Yunlong Lin, Zirui Li, Guodong Du, Xiaocong Zhao, Cheng Gong, Xinwei Wang, Chao Lu, Jianwei Gong

OpenAI is adding Connectors for Gmail, Google Calendar, and Google Contacts in ChatGPT for Pro users, with Plus, Team, Enterprise, and Edu plans to follow (Mayank Parmar/BleepingComputer)
https://www.bleepingcomputer.com/news/arti

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/7]:
- Sortability of Time Series Data
Christopher Lohse, Jonas Wahl
https://

Are We Generalizing from the Exception? An In-the-Wild Study on Group-Sensitive Conversation Design in Human-Agent Interactions
Ana M\"uller, Sabina Jeschke, Anja Richert
https://arxiv.org/abs/2506.10462

Are We Generalizing from the Exception? An In-the-Wild Study on Group-Sensitive Conversation Design in Human-Agent Interactions
This paper investigates the impact of a group-adaptive conversation design in two socially interactive agents (SIAs) through two real-world studies. Both SIAs - Furhat, a social robot, and MetaHuman, a virtual agent - were equipped with a conversational artificial intelligence (CAI) backend combining hybrid retrieval and generative models. The studies were carried out in an in-the-wild setting with a total of $N = 188$ participants who interacted with the SIAs - in dyads, triads or larger group…

Meter, which sells and maintains packages of custom data center networking equipment, raised $170M led by General Catalyst at a $1B valuation (Michael J. de la Merced/New York Times)
https://www.nytimes.com/2025/06/12/business/dealbook/meter-n…

Meter, Networking Start-Up, Raises $170 Million
The company has collected $170 million in new capital as it seeks to help connect data centers and other businesses in the age of artificial intelligence.

Data-Centric Safety and Ethical Measures for Data and AI Governance
Srija Chakraborty
https://arxiv.org/abs/2506.10217 https://arxiv.…

Data-Centric Safety and Ethical Measures for Data and AI Governance
Datasets play a key role in imparting advanced capabilities to artificial intelligence (AI) foundation models that can be adapted to various downstream tasks. These downstream applications can introduce both beneficial and harmful capabilities -- resulting in dual use AI foundation models, with various technical and regulatory approaches to monitor and manage these risks. However, despite the crucial role of datasets, responsible dataset design and ensuring data-centric safety and ethical pract…

The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Programming Tasks
Md Istiak Hossain Shihab, Christopher Hundhausen, Ahsun Tariq, Summit Haque, Yunhan Qiao, Brian Mulanda
https://arxiv.org/abs/2506.10051

The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Programming Tasks
When graduates of computing degree programs enter the software industry, they will most likely join teams working on legacy code bases developed by people other than themselves. In these so-called brownfield software development settings, generative artificial intelligence (GenAI) coding assistants like GitHub Copilot are rapidly transforming software development practices, yet the impact of GenAI on student programmers performing brownfield development tasks remains underexplored. This paper i…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- TurboBias: Universal ASR Context-Biasing powered by GPU-accelerated Phrase-Boosting Tree
Andrei Andrusenko, Vladimir Bataev, Lilit Grigoryan, Vitaly Lavrukhin, Boris Ginsburg

Sources: Apple has set an internal release target of spring 2026 for its delayed upgrade of Siri, as part of an iOS 26.4 software update (Mark Gurman/Bloomberg)
https://www.bloomberg.com/news/articles/2025-06-12/a…

Apple (AAPL) Targets Spring 2026 for Release of Delayed Siri AI Upgrade
Apple Inc. has set an internal release target of spring 2026 for its delayed upgrade of Siri, marking a key step in its artificial intelligence turnaround effort.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- Saturation Self-Organizing Map
Igor Urbanik, Pawe{\l} Gajewski
https://

"Draw me a curator" Examining the visual stereotyping of a cultural services profession by generative AI
Dirk HR Spennemann
https://arxiv.org/abs/2508.07132 https://…

"Draw me a curator" Examining the visual stereotyping of a cultural services profession by generative AI
Based on 230 visualisations, this paper examines the depiction of museum curators by the popular generative Artificial Intelligence (AI) model, ChatGPT4o. While the AI-generated representations do not reiterate popular stereotypes of curators as nerdy, conservative in dress and stuck in time rummaging through collections, they contrast sharply with real-world demographics. AI-generated imagery extremely underrepresents women (3.5% vs 49% to 72% in reality) and disregards ethnic communities othe…

Sources: some AI researchers rejected Meta's offers to stay at jobs that align with their values; far fewer defected from Anthropic and DeepMind than OpenAI (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-int

Meta is trying to win the AI race with money — but not everyone can be bought
The AI industry is full of people motivated by a true belief in what they’re doing, but Meta is betting that at a certain price, anyone can be bought — it’s casting its net across Silicon Valley to do it. And what’s the best weapon OpenAI, its biggest target, has to fight it? That’s money, too.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/5]:
- Sleepless Nights, Sugary Days: Creating Synthetic Users with Health Conditions for Realistic Coac...
Taedong Yun, et al.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion
Dohoon Lee, Jaehyun Park, Hyunwoo J. Kim, Kyogu Lee

Intersectoral Knowledge in AI and Urban Studies: A Framework for Transdisciplinary Research
Rashid Mushkani
https://arxiv.org/abs/2508.07507 https://arxiv.…

Intersectoral Knowledge in AI and Urban Studies: A Framework for Transdisciplinary Research
Transdisciplinary approaches are increasingly essential for addressing grand societal challenges, particularly in complex domains such as Artificial Intelligence (AI), urban planning, and social sciences. However, effectively validating and integrating knowledge across distinct epistemic and ontological perspectives poses significant difficulties. This article proposes a six-dimensional framework for assessing and strengthening transdisciplinary knowledge validity in AI and city studies, based …

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- System~2 Reasoning for Human--AI Alignment: Generality and Adaptivity via ARC-AGI
Sejin Kim, Sundong Kim

Artificial Analysis' benchmarks show Grok 4 is the leading AI model, a first for xAI, and its per-token pricing is more expensive than Gemini 2.5 Pro and o3 (@artificialanlys)
https://x.com/artificialanlys/status/1943166841150644622

Artificial Analysis (@ArtificialAnlys) on X
xAI gave us early access to Grok 4 - and the results are in. Grok 4 is now the leading AI model. We have run our full suite of benchmarks and Grok 4 achieves an Artificial Analysis Intelligence Index of 73, ahead of OpenAI o3 at 70, Google Gemini 2.5 Pro at 70, Anthropic Claude

OpenAI officially closes its ~$6.5B acquisition of Jony Ive's startup, which it refers to as io Products, after a trademark suit from hearing device startup Iyo (Hayden Field/The Verge)
https://www.theverge.com/ai-artificial-inte…

OpenAI closes deal with Jony Ive’s io.

Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligence
Oliver Guest, Kevin Wei
https://arxiv.org/abs/2506.03497

Bridging the Artificial Intelligence Governance Gap: The United States' and China's Divergent Approaches to Governing General-Purpose Artificial Intelligence
The United States and China are among the world's top players in the development of advanced artificial intelligence (AI) systems, and both are keen to lead in global AI governance and development. A look at U.S. and Chinese policy landscapes reveals differences in how the two countries approach the governance of general-purpose artificial intelligence (GPAI) systems. Three areas of divergence are notable for policymakers: the focus of domestic AI regulation, key principles of domestic AI regul…

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…

[2025-08-13 Wed (UTC), 41 new articles found for cs.AI Artificial Intelligence]
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Source: Butterfly Effect, the startup behind Manus, has shut down its entire China-based team to minimize geopolitical risks associated with its ties to China (Juro Osawa/The Information)
https://www.theinformation.com/briefings/startup-behi…

Startup Behind Manus AI Agent Shuts Down China Team
The startup behind Manus, an artificial intelligence agent that went viral earlier this year and got financial backing from Benchmark, has shut down its entire China-based team, according to a person with knowledge of the situation. It’s the latest sign that Manus, whose biggest target market is the U.S., wants to minimize geopolitical risks associated with China ties. Butterfly Effect, the

How ad agency WPP is embracing AI tools, despite the threat to its creative business, as its stock falls 50% in seven years; its WPP Open platform has 50K users (Daniel Thomas/Financial Times)
https://www.ft.com/content/4d1d939c-23e3-491f-9a5e-58532fdc82cb…

WPP races to harness AI before the technology kills its business
Chief executive Mark Read pushed to adopt artificial intelligence but is set to exit with the share price languishing

Ukraine's security service says AI allowed its drones to keep flying "along a pre-planned route" even after losing signal in Russia during "Operation Spiderweb" (Fabrice Deprez/Financial Times)

How AI guided Ukraine’s drones to hit Russian airfields
Artificial intelligence took over the steering of unmanned quadcopters after losing signal

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Info...
Fei Chen, Wenchi Zhou

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- M$^2$IV: Towards Efficient and Fine-grained Multimodal In-Context Learning via Representation Eng...
Yanshu Li, Yi Cao, Hongyang He, Qisen Cheng, Xiang Fu, Xi Xiao, Tianyang Wang, Ruixiang Tang

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/5]:
- Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
Prakhar Ganesh, Afaf Taik, Golnoosh Farnadi

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- From research to clinic: Accelerating the translation of clinical decision support systems by mak...
Chauhan, Askar, Svendsen, Fjukstad, Elvev{\aa}g, Bongo, Pedersen

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- From Next-Token to Mathematics: The Learning Dynamics of Mathematical Reasoning in Language Models
Shubhra Mishra, Gabriel Poesia, Noah D. Goodman

Hangzhou, home to DeepSeek and Alibaba, has become a hub for Chinese AI startups, with the suburb Liangzhu emerging as a hotspot for coders in their 20s and 30s (Meaghan Tobin/New York Times)
https://www.n…

The Coder ‘Village’ at the Heart of China’s A.I. Frenzy
As China vies with Silicon Valley for primacy, Hangzhou, home to DeepSeek and Alibaba, is where its aspiring tech titans mingle and share ideas.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models
Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan

The Allen Institute for AI launches FlexOlmo, an LLM architecture that lets data owners control and remove their training data from a model even after training (Will Knight/Wired)
https://www.wired.com/story/flexolmo-ai-model-lets-data-owners-take-cont…

A New Kind of AI Model Lets Data Owners Take Control
A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/5]:
- Description of the Training Process of Neural Networks via Ergodic Theorem : Ghost nodes
Eun-Ji Park, Sangwon Yun

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/5]:
- Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank A...
Byung Hyun Lee, Sungjin Lim, Se Young Chun

Sources: Meta plans to unveil an AI lab dedicated to "superintelligence", led by Scale AI CEO Alexandr Wang, and is offering seven- to nine-figure compensation (New York Times)
https://www.nytimes.com/2025/06/10/technology/meta-new-ai…

Meta Is Creating a New A.I. Lab to Pursue ‘Superintelligence’
The new lab, set to include Scale AI founder Alexandr Wang, is part of a reorganization of Meta’s artificial intelligence efforts under Mark Zuckerberg.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/5]:
- Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
David Boetius, Stefan Leue, Tobias Sutter

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/5]:
- Solving a Stackelberg Game on Transportation Networks in a Dynamic Crime Scenario: A Mixed Approa...
Sukanya Samanta, Kei Kimura, Makoto Yokoo

[2025-08-11 Mon (UTC), 28 new articles found for cs.AI Artificial Intelligence]
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[2025-07-11 Fri (UTC), 26 new articles found for cs.AI Artificial Intelligence]
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A Framework for Inherently Safer AGI through Language-Mediated Active Inference
Bo Wen
https://arxiv.org/abs/2508.05766 https://arxiv.org/pdf/2508.05766

A Framework for Inherently Safer AGI through Language-Mediated Active Inference
This paper proposes a novel framework for developing safe Artificial General Intelligence (AGI) by combining Active Inference principles with Large Language Models (LLMs). We argue that traditional approaches to AI safety, focused on post-hoc interpretability and reward engineering, have fundamental limitations. We present an architecture where safety guarantees are integrated into the system's core design through transparent belief representations and hierarchical value alignment. Our framewor…