Tootfinder

Back in 1964, microbiologist Tom Brock received a grant from the National Science Foundation to study how life works at high temperatures,
a question that took him to Yellowstone’s hot springs in search of extremophiles.
There, he and his student discovered a bacteria they called Thermus aquaticus,
which had enzymes that could work at incredibly high temperatures.
Two decades later, this discovery paved the way for the development of a technique called polymerase ch…

What It Would Mean To Lose The National Science Foundation
In a companion piece to our previous article on the NIH, we discuss the importance of the National Science Foundation (NSF) and how the agency is currently being affected by political interference.

When you are a Godot developer, every day is Xmas!
Support for Apple's VisionPro has now been merged into Godot:
https://github.com/godotengine/godot/pull/105628

Native visionOS platform support by rsanchezsaez · Pull Request #105628 · godotengine/godot
Dear Godot community, I'm on Apple's visionOS engineering team, and we would like to contribute Vision Pro support to the Godot engine. This is the first PR that lays the foundation for tha...

Please consider supporting Sofia's Camera Club ride for pancreatic cancer up Cypress https://cypresschallenge.ca/team/scc This will be our 8th year. @… join…

In the #ISE2025 lecture today we were introducing our students to the concept of distributional semantics as the foundation of modern large language models. Historically, Wittgenstein was one of the important figures in the Philosophy of Language stating thet "The meaning of a word is its use in the language."

OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking
Heng Yang, Jack Cole, Yuan Li, Renzhi Chen, Geyong Min, Ke Li
https://arxiv.org/abs/2505.14402

OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking
The code of nature, embedded in DNA and RNA genomes since the origin of life, holds immense potential to impact both humans and ecosystems through genome modeling. Genomic Foundation Models (GFMs) have emerged as a transformative approach to decoding the genome. As GFMs scale up and reshape the landscape of AI-driven genomics, the field faces an urgent need for rigorous and reproducible evaluation. We present OmniGenBench, a modular benchmarking platform designed to unify the data, model, bench…

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
Chengye Wang, Yifei Shen, Zexi Kuang, Arman Cohan, Yilun Zhao
https://arxiv.org/abs/2506.15569

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
We introduce SciVer, the first benchmark specifically designed to evaluate the ability of foundation models to verify claims within a multimodal scientific context. SciVer consists of 3,000 expert-annotated examples over 1,113 scientific papers, covering four subsets, each representing a common reasoning type in multimodal scientific claim verification. To enable fine-grained evaluation, each example includes expert-annotated supporting evidence. We assess the performance of 21 state-of-the-art…

Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset
Nikolaos Dionelis, Jente Bosmans, Riccardo Musto, Giancarlo Paoletti, Simone Sarti, Giacomo Cascarano, Casper Fibaek, Luke Camilleri, Bertrand Le Saux, Nicolas Long\'ep\'e
https://arxiv.org/abs/2506.14765

Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset
Today, Earth Observation (EO) satellites generate massive volumes of data, with the Copernicus Sentinel-2 constellation alone producing approximately 1.6TB per day. To fully exploit this information, it is essential to pretrain EO Foundation Models (FMs) on large unlabeled datasets, enabling efficient fine-tuning for several different downstream tasks with minimal labeled data. In this work, we present the scaling-up of our recently proposed EO Foundation Model, PhilEO Geo-Aware U-Net, on the u…

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places
Mohammad Hashemi, Andreas Zufle
https://arxiv.org/abs/2506.14570

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places
Capturing human mobility is essential for modeling how people interact with and move through physical spaces, reflecting social behavior, access to resources, and dynamic spatial patterns. To support scalable and transferable analysis across diverse geographies and contexts, there is a need for a generalizable foundation model for spatiotemporal data. While foundation models have transformed language and vision, they remain limited in handling the unique challenges posed by the spatial, tempora…

Did Pope Francis bring about any lasting change to the Church?
https://ffrf.org/news/releases/pope-francis-death-leaves-a-legacy-of-unanswered-abuse-and-religious-oppression/

Pope Francis’ death leaves a legacy of unanswered abuse and religious oppression
The Freedom From Religion Foundation acknowledges the death of Pope Francis, a leader revered by many but whose tenure failed to bring meaningful change to a deeply flawed institution. 

🥳 Hooray – the CVE Foundation has been set up to secure the future of the CVE programme: #ITSecurity

CVE Foundation
FOR IMMEDIATE RELEASE April 16, 2025 CVE Foundation Launched to Secure the Future of the CVE Program [Bremerton, Washington] – The CVE Foundation has been formally established to ensure the long-term viability, stability, and independence of the Common Vulnerabilities and Exposures (CVE) Program, a

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Fridolin Haugg, Grace Lee, John He, Leonard N\"urnberg, Dennis Bontempi, Danielle S. Bitterman, Paul Catalano, Vasco Prudente, Dmitrii Glubokov, Andrew Warrington, Suraj Pai, Dirk De Ruysscher, Christian Guthier, Benjamin H. Kann, Vadim N. Gladyshev, Hugo JWL Aerts, Raymond H. Mak

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face)
Background: Facial appearance offers a noninvasive window into health. We built FAHR-Face, a foundation model trained on >40 million facial images and fine-tuned it for two distinct tasks: biological age estimation (FAHR-FaceAge) and survival risk prediction (FAHR-FaceSurvival). Methods: FAHR-FaceAge underwent a two-stage, age-balanced fine-tuning on 749,935 public images; FAHR-FaceSurvival was fine-tuned on 34,389 photos of cancer patients. Model robustness (cosmetic surgery, makeup, pose, l…

Oklahoma high schools to teach 2020 election conspiracy theories as fact;
State superintendent Ryan Walters tapped chief of Heritage Foundation, key player behind Project 2025, for curriculum
https://www.theguardian.com/us-news/2025/may/…

“Between enabling Israel in Gaza and all of its operations across the Middle East,
and now these strikes in Iran,
we are setting the foundation for the next generation’s ‘War on Terror,’”
said Wes Bryant, who served until earlier this year as the senior analyst and adviser on precision warfare, targeting, and civilian harm mitigation at the Pentagon’s Civilian Protection Center of Excellence.
He questioned the Trump administration’s abrupt shift from negotiating with I…

Self-Proclaimed “Peacemaker” Drags U.S. Into Another War
Heeding the request of Israel’s Prime Minister Benjamin Netanyahu, President Donald Trump dispatched U.S. warplanes to bomb Iran.

Apple announces the Foundation Models framework, giving developers direct access to its on-device AI models for the first time (Tim Hardwick/MacRumors)
https://www.macrumors.com/2025/06/09/foundation-models-framework/

Apple Announces Foundation Models Framework for Developers to Leverage AI
Apple at WWDC today announced Foundation Models Framework, a new API allowing third-party developers to leverage the large language models at the...

PFMBench: Protein Foundation Model Benchmark
Zhangyang Gao, Hao Wang, Cheng Tan, Chenrui Xu, Mengdi Liu, Bozhen Hu, Linlin Chao, Xiaoming Zhang, Stan Z. Li
https://arxiv.org/abs/2506.14796

PFMBench: Protein Foundation Model Benchmark
This study investigates the current landscape and future directions of protein foundation model research. While recent advancements have transformed protein science and engineering, the field lacks a comprehensive benchmark for fair evaluation and in-depth understanding. Since ESM-1B, numerous protein foundation models have emerged, each with unique datasets and methodologies. However, evaluations often focus on limited tasks tailored to specific models, hindering insights into broader generali…

Henry Chu named interim curator of the Nieman Foundation at Harvard once Ann Marie Lipinski steps down on July 1 after 14 years leading the institution (Nieman Foundation)
https://nieman.harvard.edu/henry-chu-named-int…

Henry Chu named interim curator of the Nieman Foundation for Journalism at Harvard - Nieman Foundation
Henry Chu has been named interim curator of the Nieman Foundation for Journalism at Harvard University. Currently Nieman’s deputy curator, Chu will start his new role when Curator Ann Marie Lipinski steps down on July 1 after 14 years as head of the foundation. Chu has played a key role at Nieman, strengthening the foundation’s publications, overseeing […]

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
Anastasis Kratsios, Tin Sum Cheng, Aurelien Lucchi, Haitz S\'aez de Oc\'ariz Borde
https://arxiv.org/abs/2506.14530

Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
Low-Rank Adaptation (LoRA) has emerged as a widely adopted parameter-efficient fine-tuning (PEFT) technique for foundation models. Recent work has highlighted an inherent asymmetry in the initialization of LoRA's low-rank factors, which has been present since its inception and was presumably derived experimentally. This paper focuses on providing a comprehensive theoretical characterization of asymmetric LoRA with frozen random factors. First, while existing research provides upper-bound genera…

Foundation of Affective Computing and Interaction
Changzeng Fu
https://arxiv.org/abs/2506.15497 https://arxiv.org/pdf/2506.15497

Foundation of Affective Computing and Interaction
This book provides a comprehensive exploration of affective computing and human-computer interaction technologies. It begins with the historical development and basic concepts of human-computer interaction, delving into the technical frameworks and practical applications of emotional computing, visual interaction, voice interaction, brain-computer interfaces, physiological electrical signal analysis, and social robotics. The book covers a wide range of topics, including the psychological and ne…

Contemporary AI foundation models increase biological weapons risk
Roger Brent, T. Greg McKelvey Jr
https://arxiv.org/abs/2506.13798 https://

Contemporary AI foundation models increase biological weapons risk
The rapid advancement of artificial intelligence has raised concerns about its potential to facilitate biological weapons development. We argue existing safety assessments of contemporary foundation AI models underestimate this risk, largely due to flawed assumptions and inadequate evaluation methods. First, assessments mistakenly assume biological weapons development requires tacit knowledge, or skills gained through hands-on experience that cannot be easily verbalized. Second, they rely on im…

Generative Representational Learning of Foundation Models for Recommendation
Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
https://arxiv.org/abs/2506.11999

Generative Representational Learning of Foundation Models for Recommendation
Developing a single foundation model with the capability to excel across diverse tasks has been a long-standing objective in the field of artificial intelligence. As the wave of general-purpose foundation models sweeps across various domains, their influence has significantly extended to the field of recommendation systems. While recent efforts have explored recommendation foundation models for various generative tasks, they often overlook crucial embedding tasks and struggle with the complexit…

This https://arxiv.org/abs/2505.12638 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
The advent of single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) offers an innovative perspective for deciphering regulatory mechanisms by assembling a vast repository of single-cell chromatin accessibility data. While foundation models have achieved significant success in single-cell transcriptomics, there is currently no foundation model for scATAC-seq that supports zero-shot high-quality cell identification and comprehensive multi-omics analysis simultaneous…

Investigating the Potential of Large Language Model-Based Router Multi-Agent Architectures for Foundation Design Automation: A Task Classification and Expert Selection Study
Sompote Youwai, David Phim, Vianne Gayl Murcia, Rianne Clair Onas
https://arxiv.org/abs/2506.13811

Investigating the Potential of Large Language Model-Based Router Multi-Agent Architectures for Foundation Design Automation: A Task Classification and Expert Selection Study
This study investigates router-based multi-agent systems for automating foundation design calculations through intelligent task classification and expert selection. Three approaches were evaluated: single-agent processing, multi-agent designer-checker architecture, and router-based expert selection. Performance assessment utilized baseline models including DeepSeek R1, ChatGPT 4 Turbo, Grok 3, and Gemini 2.5 Pro across shallow foundation and pile design scenarios. The router-based configuration…

"DOGE had by fiat the authority to give thumbs up or down to grant applications which had been systematically vetted by layers of subject matter experts" https://time.com/7285045/resigning-national-science-foundation-library-congress/

Why I’m Resigning from the NSF and Library of Congress
I cannot participate in systems that require dishonesty as the price of belonging.

Foundation Time-Series AI Model for Realized Volatility Forecasting
Anubha Goel, Puneet Pasricha, Martin Magris, Juho Kanniainen
https://arxiv.org/abs/2505.11163

Foundation Time-Series AI Model for Realized Volatility Forecasting
Time series foundation models (FMs) have emerged as a popular paradigm for zero-shot multi-domain forecasting. These models are trained on numerous diverse datasets and claim to be effective forecasters across multiple different time series domains, including financial data. In this study, we evaluate the effectiveness of FMs, specifically the TimesFM model, for volatility forecasting, a core task in financial risk management. We first evaluate TimesFM in its pretrained (zero-shot) form, follow…

https://stadt-bremerhaven.de/linux-foundation-startet-eigenen-paketmanager-fuer-wordpress-plugins/

Linux Foundation startet eigenen Paketmanager für WordPress-Plugins
Die Linux Foundation hat mit FAIR einen neuen Paketmanager für WordPress-Plugins, Themes und Tools vorgestellt. Der neue FAIR-Paketmanager ...

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
Yuan Gao, Mattia Piccinini, Yuchen Zhang, Dingrui Wang, Korbinian Moller, Roberto Brusnicki, Baha Zarrouki, Alessio Gambi, Jan Frederik Totz, Kai Storms, Steven Peters, Andrea Stocco, Bassam Alrifaee, Marco Pavone, Johannes Betz
https://

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
For autonomous vehicles, safe navigation in complex environments depends on handling a broad range of diverse and rare driving scenarios. Simulation- and scenario-based testing have emerged as key approaches to development and validation of autonomous driving systems. Traditional scenario generation relies on rule-based systems, knowledge-driven models, and data-driven synthesis, often producing limited diversity and unrealistic safety-critical cases. With the emergence of foundation models, wh…

The #GiantMagellanTelescope received official approval from the National Science Foundation (NSF) confirming that the observatory will advance into its Major Facilities Final Design Phase, one of the final steps before becoming eligible for federal construction funding: https://astro.arizona.edu/news/giant-magellan-telescope-advances-national-science-foundation-final-design-phase

Wikipedia: Test von KI-generierten Artikelzusammenfassungen vorerst gestoppt
Die Wikimedia Foundation wollte die Wirkung von KI-generierten Zusammenfassungen über Wikipedia-Artikeln testen. Die Community hat das erst einmal verhindert.

Duckduckgo is fine for the time being, but that won't last long. MS wants to drive people to AI.
Maybe we need a foundation-run public search index. Something we can all build our own search front-ends on.
https://www.wired.com/story/bing-microsoft-api-su…

Microsoft Cuts Off Access to Bing Search Data as It Shifts Focus to Chatbots
Microsoft is limiting access to tools that boosted its rivals, but larger customers like DuckDuckGo say they won’t be affected.

Ooooo….
https://www.linuxfoundation.org/press/linux-foundation-announces-the-fair-package-manager-project-for-open-source-content-management-system-stability

Linux Foundation Announces the FAIR Package Manager Project for Open Source Content Management System Stability
Linux Foundation announces FAIR Package Manager project, creating simplicity, security and consistency for the WordPress ecosystem

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
Achim Hekler, Lukas Kuhn, Florian Buettner
https://arxiv.org/abs/2506.09593

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
Reliable uncertainty calibration is essential for safely deploying deep neural networks in high-stakes applications. Deep neural networks are known to exhibit systematic overconfidence, especially under distribution shifts. Although foundation models such as ConvNeXt, EVA and BEiT have demonstrated significant improvements in predictive performance, their calibration properties remain underexplored. This paper presents a comprehensive investigation into the calibration behavior of foundation mo…

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries
Weipeng Jiang, Xiaoyu Zhang, Xiaofei Xie, Jiongchi Yu, Yuhan Zhi, Shiqing Ma, Chao Shen
https://arxiv.org/abs/2506.12320

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries
Large Language Model (LLM) libraries have emerged as the foundational infrastructure powering today's AI revolution, serving as the backbone for LLM deployment, inference optimization, fine-tuning, and production serving across diverse applications. Despite their critical role in the LLM ecosystem, these libraries face frequent quality issues and bugs that threaten the reliability of AI systems built upon them. To address this knowledge gap, we present the first comprehensive empirical investig…

Such a powerful sobering, statement and also a call to continually reflect on what we are each doing in this moment. https://time.com/7285045/resigning-national-science-foundation-library-congress/

Quantum Field Theory Between Rigor and Pragmatism
Johannes Branahl
https://arxiv.org/abs/2505.15577 https://arxiv.org/pdf/2505.15577

Quantum Field Theory Between Rigor and Pragmatism
Quantum Field Theory (QFT), the foundational framework of particle physics, has long existed in a state of tension between empirical success and mathematical rigor. Conventional QFT (CQFT), which underpins the Standard Model, offers unparalleled predictive accuracy but relies on inconsistent and ad hoc methods. In contrast, axiomatic QFT (AxQFT) aspires to a consistent, mathematically rigorous foundation, yet lacks empirical applicability. This paper introduces the heuristic vehicle of a realis…

as a transit advocate, I would like to be able to embrace Scott Wiener as a champion for transit funding, but unfortunately he has also regularly attacked and defamed pro-Palestine activists. his actions have contributed to a neo-McCarthyist atmosphere around this issue that was immediately seized upon by Trump on coming back to power

Doctor Says UCSF Fired Her Due to Pressure From Wiener, Dillers Over Pro-Palestinian Speech
CA State Senator Scott Wiener and UCSF’s largest donor, the Diller Foundation, are named in new allegations by Dr. Rupa Marya, prominent physician, activist, and musician, who is suing UCSF over her recent termination stemming from public criticism of Israel.

#physics #manufacturing

The US factory that lays bare the contradiction in Trump's policy
An exclusive look inside the closely guarded factory the president wants to become a foundation stone for a US golden age.

»Erfolgreicher Widerstand – Wikipedia stoppt geplante KI-Zusammenfassungen:
Eigentlich wollte die Wikimedia Foundation - vorerst testweise - KI-generierte Zusammenfassungen in Wikipedia-Artikel integrieren. Doch diese Pläne sind jetzt überraschend schnell wieder ad acta gelegt worden. Was ist da passiert?«
Bei @… war Widerspruch schon immer vorhanden a…

Erfolgreicher Widerstand: Wikipedia stoppt geplante KI-Zusammenfassungen - t3n – digital pioneers
Eigentlich wollte die Wikimedia Foundation – vorerst testweise – KI-generierte Zusammenfassungen in Wikipedia-Artikel integrieren. Doch diese Pläne sind jetzt überraschend schnell wieder ad acta gelegt worden. Was ist da passiert? Manchem Fan erscheint Wikipedia wie der letzte Ort im World Wide Web, an dem es weder Werbung noch Bezahlschranken und auch keine KI-Integration gibt. Genau das scheinen […]

ACTION ALERT: Tell Congress "Hands Off Our WiFi"
(Public Knowledge and New America Foundation's Open Technology Institute)
https://www.votervoice.net/PublicKnowledge/Campaigns/128237/Respond

Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
Evdoxia Taka, Debadyuti Bhattacharya, Joanne Garde-Hansen, Sanjay Sharma, Tanaya Guha
https://arxiv.org/abs/2506.14799

Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust
Recent advances in AI has enabled automated analysis of complex media content at scale and generate actionable insights regarding character representation along such dimensions as gender and age. Past work focused on quantifying representation from audio/video/text using various ML models, but without having the audience in the loop. We ask, even if character distribution along demographic dimensions are available, how useful are they to the general public? Do they actually trust the numbers ge…

This https://arxiv.org/abs/2506.05394 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Attacking Attention of Foundation Models Disrupts Downstream Tasks
Foundation models represent the most prominent and recent paradigm shift in artificial intelligence.Foundation models are large models, trained on broad data that deliver high accuracy in many downstream tasks, often without fine-tuning. For this reason, models such as CLIP , DINO or Vision Transfomers (ViT), are becoming the bedrock of many industrial AI-powered applications. However, the reliance on pre-trained foundation models also introduces significant security concerns, as these models a…

ECHOPRAXIA – Hysteria Titanum
#ambient

Meanwhile, the Israeli genocide in Gaza against Palestinians continues...
"Israel kills 59 Palestinians in Gaza, many while trying to get aid
Thirteen starving Palestinians are killed as they tried to get food near the Netzarim Corridor and in Rafah’s al-Mawasi area."

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng
https://arxiv.org/abs/2505.12638

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
The advent of single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) offers an innovative perspective for deciphering regulatory mechanisms by assembling a vast repository of single-cell chromatin accessibility data. While foundation models have achieved significant success in single-cell transcriptomics, there is currently no foundation model for scATAC-seq that supports zero-shot high-quality cell identification and comprehensive multi-omics analysis simultaneous…

The Marines and National Guard shouldn't be deployed to protests in LA, Texas or anywhere else.
But since they are, the Freedom of the Press Foundation and other press freedom groups wrote a letter to them explaining the basics of journalists' rights when covering demonstrations, and offering their help.
#Press #Freedom #Democracy

The Orlando Sentinel got a cease-and-desist from Florida's DCF that claims its reporter coerced families for a story on a foundation tied to Gov. DeSantis' wife (Mike Schneider/Associated Press)
https://apnews.com/article/orlando-sen

Florida agency tells newspaper to halt reporting angle on foundation associated with governor's wife
Florida’s child welfare agency has sent a letter to a newspaper telling it to “cease and desist” its reporting on foster families for a story about a nonprofit associated with Gov. Ron DeSantis’ wife. The foundation is the subject of an investigation. The Orlando Sentinel received the letter on Friday from the Department of Children and Families. The letter claims the newspaper’s Tallahassee reporter intimidated foster families who had received money from the Hope Florida Foundation w…

It's #NoKings day!
🚫👑🚫👑🚫👑🚫
Be loud. Be heard. Be safe.
⸻
EFF Protest Guide:
•⁠📱⁠https://mastodon.social/@eff/114678037068775207
Know Your Rights:
•⁠🚨⁠…

Distillation of atomistic foundation models across architectures and chemical domains
John L. A. Gardner, Daniel F. Thomas du Toit, Chiheb Ben Mahmoud, Zo\'e Faure Beaulieu, Veronika Juraskova, Laura-Bianca Pa\c{s}ca, Louise A. M. Rosset, Fernanda Duarte, Fausto Martelli, Chris J. Pickard, Volker L. Deringer
https://arxiv.or…

Distillation of atomistic foundation models across architectures and chemical domains
Machine-learned interatomic potentials have transformed computational research in the physical sciences. Recent atomistic `foundation' models have changed the field yet again: trained on many different chemical elements and domains, these potentials are widely applicable, but comparably slow and resource-intensive to run. Here we show how distillation via synthetic data can be used to cheaply transfer knowledge from atomistic foundation models to a range of different architectures, unlocking mu…

"You should know Trump isn’t doing this on his own. The Hoover Institution has been plotting revenge against FDR since 1932. Groups like the Heritage Foundation and Heartland Foundation are generations old. The Federalist Society has been promising to overturn liberal justice since the 1960s. The Religious Right started working to overturn Roe v. Wade the day it was promulgated. All these groups have big money, and they play the long game.
What’s happening today is their platform, backed by their research. The fact it won’t work, that the 20th century won’t be put back into a bottle, that the Amendments put in place after 1865 somehow aren’t part of the “real” Constitution, is yet to be proven by events."
https://danafblankenhorn.substack.com/p/all-in-the-family

The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
Naresh Tiwari
https://arxiv.org/abs/2506.11412 https://…

The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
This paper presents a comprehensive analysis of the strategic imperative for healthcare organizations to develop proprietary foundation models rather than relying exclusively on commercial alternatives. We examine four fundamental considerations driving this imperative: the domain-specific requirements of healthcare data representation, critical data sovereignty and governance considerations unique to healthcare, strategic competitive advantages afforded by proprietary AI infrastructure, and th…

"The Tax Foundation is a veteran anti-tax campaign organization from the United States. It has been around since 1937 when it was founded by top brass from companies such as Standard Oil and General Motors. Close links to some of the biggest corporations in the US has been a constant feature of the organization, as has its political aim of bringing down taxes"
#lobbying

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
Xinxu Wei, Kanhao Zhao, Yong Jiao, Lifang He, Yu Zhang
https://arxiv.org/abs/2506.02044

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
As large language models (LLMs) continue to revolutionize AI research, there is a growing interest in building large-scale brain foundation models to advance neuroscience. While most existing brain foundation models are pre-trained on time-series signals or region-of-interest (ROI) features, we propose a novel graph-based pre-training paradigm for constructing a brain graph foundation model. In this paper, we introduce the Brain Graph Foundation Model, termed BrainGFM, a unified framework that …

Polygon co-founder Sandeep Nailwal is named CEO of the Polygon Foundation after the departure of Mihailo Bjelic, and unveils changes to streamline the nonprofit (Daniel Kuhn/The Block)
https://www.theblock.co/post/35…

Sekai: A Video Dataset towards World Exploration
Zhen Li, Chuanhao Li, Xiaofeng Mao, Shaoheng Lin, Ming Li, Shitian Zhao, Zhaopan Xu, Xinyue Li, Yukang Feng, Jianwen Sun, Zizhen Li, Fanrui Zhang, Jiaxin Ai, Zhixiang Wang, Yuwei Wu, Tong He, Jiangmiao Pang, Yu Qiao, Yunde Jia, Kaipeng Zhang
https://arxiv.org/abs/2506.15675…

Sekai: A Video Dataset towards World Exploration
Video generation techniques have made remarkable progress, promising to be the foundation of interactive world exploration. However, existing video generation datasets are not well-suited for world exploration training as they suffer from some limitations: limited locations, short duration, static scenes, and a lack of annotations about exploration and the world. In this paper, we introduce Sekai (meaning ``world'' in Japanese), a high-quality first-person view worldwide video dataset with rich…

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging
Haoyu Dong, Yuwen Chen, Hanxue Gu, Nicholas Konz, Yaqian Chen, Qihang Li, Maciej A. Mazurowski
https://arxiv.org/abs/2506.12186

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging
The widespread use of Magnetic Resonance Imaging (MRI) and the rise of deep learning have enabled the development of powerful predictive models for a wide range of diagnostic tasks in MRI, such as image classification or object segmentation. However, training models for specific new tasks often requires large amounts of labeled data, which is difficult to obtain due to high annotation costs and data privacy concerns. To circumvent this issue, we introduce MRI-CORE (MRI COmprehensive Representat…

A Survey on World Models Grounded in Acoustic Physical Information
Xiaoliang Chen, Le Chang, Xin Yu, Yunhe Huang, Xianling Tu
https://arxiv.org/abs/2506.13833

A Survey on World Models Grounded in Acoustic Physical Information
This survey provides a comprehensive overview of the emerging field of world models grounded in the foundation of acoustic physical information. It examines the theoretical underpinnings, essential methodological frameworks, and recent technological advancements in leveraging acoustic signals for high-fidelity environmental perception, causal physical reasoning, and predictive simulation of dynamic events. The survey explains how acoustic signals, as direct carriers of mechanical wave energy fr…

EMUSE: Evolutionary Map of the Universe Search Engine
Nikhel Gupta, Zeeshan Hayder, Minh Huynh, Ray P. Norris, Lars Petersson, Andrew M. Hopkins, Simone Riggi, B\"arbel S. Koribalski, Miroslav D. Filipovi\'c
https://arxiv.org/abs/2506.15090

EMUSE: Evolutionary Map of the Universe Search Engine
We present EMUSE (Evolutionary Map of the Universe Search Engine), a tool designed for searching specific radio sources within the extensive datasets of the EMU (Evolutionary Map of the Universe) survey, with potential applications to other Big Data challenges in astronomy. Built on a multimodal approach to radio source classification and retrieval, EMUSE fine-tunes the OpenCLIP model on curated radio galaxy datasets. Leveraging the power of foundation models, our work integrates visual and tex…

Existence and uniqueness of global large-data solutions for the Chemotaxis-Navier-Stokes system in $\mathbb{R}^2$
Fan Xu, Feng Dai, Bin Liu
https://arxiv.org/abs/2506.15434

Existence and uniqueness of global large-data solutions for the Chemotaxis-Navier-Stokes system in $\mathbb{R}^2$
This work investigates the Cauchy problem for the classical Chemotaxis-Navier-Stokes (CNS) system in $\mathbb{R}^2$. We establish the global existence and uniqueness of strong, classical, and arbitrarily smooth solutions under large initial data, which has not been addressed in the existing literature. The key idea is to first derive an entropy-energy estimate for initial data with low regularity, by leveraging the intrinsic entropy structure of the system. Building on this foundation, we then …

Starving Palestinians fear being shot dead for a bag of lentils as Gaza aid points close | The Independent
https://www.independent.co.uk/news/world/middle-east/gaza-humanitarian-foundation-israel-rafah-b2764590.html

from my link log —
10 years of stable Rust: an infrastructure story.
https://rustfoundation.org/media/10-years-of-stable-rust-an-infrastructure-story/
saved 2025-05-15

10 Years of Stable Rust: An Infrastructure Story - The Rust Foundation
A note from the Rust Foundation: Today, May 15, 2025, marks 10 years since the first stable release of Rust. To commemorate this milestone, we are excited to share the following guest blog contributed by Graydon Hoare, initial author of the Rust programming language.   Rust turns 10 today, or at…

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication
Mohammad Ghassemi, Sara Farrag Mobarak, Han Zhang, Ali Afana, Akram Bin Sediq, Melike Erol-Kantarci
https://arxiv.org/abs/2506.09855

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication
Reconfigurable intelligent surfaces (RIS) have emerged as a promising technology for enhancing wireless communication by dynamically controlling signal propagation in the environment. However, their efficient deployment relies on accurate channel state information (CSI), which leads to high channel estimation overhead due to their passive nature and the large number of reflective elements. In this work, we solve this challenge by proposing a novel framework that leverages a pre-trained open-sou…

«The Wikimedia Foundation, the nonprofit organization which hosts and develops Wikipedia, has paused an experiment that showed users AI-generated summaries at the top of articles after an overwhelmingly negative reaction from the Wikipedia editors community.»
It's nice to see places where community can help course correct!
https://www.404media.co/wikipedia-pauses-ai-generated-summaries-after-editor-backlash/

In announcing her resignation from the National Science Board, Alondra Nelson @alondra.bsky.social details #DOGE interference in National Science Foundation #NSF grant making. «

New foundation trailer continue to be the most beautiful scifi show out there.
#scifi

Celebrating Windrush Foundation’s 30th Anniversary event at The Tab Centre, London, SE13 on Saturday, June 21, 2025, from 6 pm to 8:30 pm.
Please arrive at 5:30 pm - (NO ENTRY AFTER 6:30 pm). Tickets: https://www.eventbrite.co.uk/e/celebrating

Nice to see Michael Hansmeyer still following his dreams: The White Tower was finally revealed 2 weeks ago, currently the largest 3D printed structure in the world (30 meters [90ft] tall), located in a small village in Switzerland:
https://www.michael-hansmeyer.com/white-tower

Tor Alva | White Tower - Project Overview
Tor Alva, White Tower, Weisser Turm in Mulegns, Switzerland, Origen Foundation

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…

Procedural Knowledge Libraries: Towards Executable (Research) Memory
Hamidah Oderinwale
https://arxiv.org/abs/2506.14715 https://arxi…

Procedural Knowledge Libraries: Towards Executable (Research) Memory
Procedural Knowledge Libraries (PKLs) are frameworks for capturing the full arc of scientific inquiry, not just its outcomes. Whereas traditional libraries store static end products, PKLs preserve the process that leads to those results, including hypotheses, failures, decisions, and iterations. By addressing the loss of tacit knowledge -- typically buried in notebooks, emails, or memory -- PKLs lay a foundation for reproducible, collaborative, and adaptive research. PKLs provide executable, ve…

Das Ende des Thirty Meter Telescopes? – US-Kongress soll kein Geld mehr geben
2024 hat die National Science Foundation erklärt, dass das Geld nur für ein US-Riesenteleskop reicht. Nun soll das Thirty Meter Telescope leer ausgehen.

“CVE naming and assignment to software packages and versions are the foundation upon which the software vulnerability ecosystem is based. Without it, we can’t track newly discovered vulnerabilities. We can’t score their severity or predict their exploitation. And we certainly wouldn’t be able to make the best decisions regarding patching them.”

CVE program averts swift end after CISA executes 11-month contract extension
After DHS did not renew its funding contract for reasons unspecified, MITRE’s 25-year-old Common Vulnerabilities and Exposures (CVE) program was slated for an abrupt shutdown on April 16, which would have left security flaw tracking in limbo. CISA stepped in to provide a bridge.

The move to Windows 11 isn’t just about security updates.
It increases dependence on Microsoft through aggressive cloud integration,
forcing users to adopt Microsoft accounts and services.
It also leads to higher costs due to subscription and licensing models,
and reduces control over how your computer works and how your data is managed.
Furthermore, new hardware requirements will render millions of perfectly good PCs obsolete.
This is a turning point.

The end of Windows 10 is approaching, so it's time to consider Linux and LibreOffice - The Document Foundation Blog
The Document Foundation and LibreOffice support the international campaign @endof10 https://endof10.org/ The countdown has begun. On 14 October 2025, Microsoft will end support for Windows 10. This will leave millions of users and organisations with a difficult choice: should they upgrade to Windows 11, or completely rethink their work environment? The good news? You don’t […]

The Journey from Planck Distribution to Bose Statistics From Classical to Quantum Mechanics and Beyond
Shreetam Dash, Prasanta K. Panigrahi
https://arxiv.org/abs/2505.11519

The Journey from Planck Distribution to Bose Statistics From Classical to Quantum Mechanics and Beyond
In 1924, Satyendra Nath Bose's pioneering work laid the foundation for Bose-Einstein statistics, which describes particles with integral spins. His derivation of Planck's law for blackbody radiation bypassed classical assumptions, relying instead on the statistical mechanics of light quanta. Bose's methodology addressed limitations in existing theories, such as Einstein's dependence on classical concepts like Wien's displacement law and Bohr's correspondence principle. Further, his work undersc…

Developing a Risk Identification Framework for Foundation Model Uses
David Piorkowski, Michael Hind, John Richards, Jacquelyn Martino
https://arxiv.org/abs/2506.02066

Developing a Risk Identification Framework for Foundation Model Uses
As foundation models grow in both popularity and capability, researchers have uncovered a variety of ways that the models can pose a risk to the model's owner, user, or others. Despite the efforts of measuring these risks via benchmarks and cataloging them in AI risk taxonomies, there is little guidance for practitioners on how to determine which risks are relevant for a given foundation model use. In this paper, we address this gap and develop requirements and an initial design for a risk iden…

BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models
Bharath Dandala, Michael M. Danziger, Ella Barkan, Tanwi Biswas, Viatcheslav Gurev, Jianying Hu, Matthew Madgwick, Akira Koseki, Tal Kozlovski, Michal Rosen-Zvi, Yishai Shimoni, Ching-Huei Tsou
https://arxiv.org/abs/2506.14861

BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models
Transcriptomic foundation models (TFMs) have recently emerged as powerful tools for analyzing gene expression in cells and tissues, supporting key tasks such as cell-type annotation, batch correction, and perturbation prediction. However, the diversity of model implementations and training strategies across recent TFMs, though promising, makes it challenging to isolate the contribution of individual design choices or evaluate their potential synergies. This hinders the field's ability to conver…

Some WordPress veterans and the Linux Foundation start FAIR, a federated update network to decentralize WordPress infrastructure and boost supply chain security (Chris Stokel-Walker/Fast Company)
https://www.fastcompany.com/91347003/wordp

WordPress veterans launch FAIR project to tackle security and control concerns
Backed by the Linux Foundation, the new federated update network aims to decentralize WordPress infrastructure, strengthen supply chain security, and restore trust amid growing tensions with Automattic.

Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis
Zuzanna Skorniewska, Bartlomiej W. Papiez
https://arxiv.org/abs/2506.11753

Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis
The adoption of neural network models in medical imaging has been constrained by strict privacy regulations, limited data availability, high acquisition costs, and demographic biases. Deep generative models offer a promising solution by generating synthetic data that bypasses privacy concerns and addresses fairness by producing samples for under-represented groups. However, unlike natural images, medical imaging requires validation not only for fidelity (e.g., Fréchet Inception Score) but also…

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
G\'er\^ome Meyer, Philip Breuer
https://arxiv.org/abs/2506.12066

Focusing on Students, not Machines: Grounded Question Generation and Automated Answer Grading
Digital technologies are increasingly used in education to reduce the workload of teachers and students. However, creating open-ended study or examination questions and grading their answers is still a tedious task. This thesis presents the foundation for a system that generates questions grounded in class materials and automatically grades student answers. It introduces a sophisticated method for chunking documents with a visual layout, specifically targeting PDF documents. This method enhance…

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers
Mohammed Mehedi Hasan, Hao Li, Emad Fallahzadeh, Bram Adams, Ahmed E. Hassan
https://arxiv.org/abs/2506.13538

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers
Although Foundation Models (FMs), such as GPT-4, are increasingly used in domains like finance and software engineering, reliance on textual interfaces limits these models' real-world interaction. To address this, FM providers introduced tool calling-triggering a proliferation of frameworks with distinct tool interfaces. In late 2024, Anthropic introduced the Model Context Protocol (MCP) to standardize this tool ecosystem, which has become the de facto standard with over eight million weekly SD…

This https://arxiv.org/abs/2506.06105 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Text-to-LoRA: Instant Transformer Adaption
While Foundation Models provide a general tool for rapid content creation, they regularly require task-specific adaptation. Traditionally, this exercise involves careful curation of datasets and repeated fine-tuning of the underlying model. Fine-tuning techniques enable practitioners to adapt foundation models for many new applications but require expensive and lengthy training while being notably sensitive to hyper-parameter choices. To overcome these limitations, we introduce Text-to-LoRA (T2…

TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
Muhammad Sohail Danish, Muhammad Akhtar Munir, Syed Roshaan Ali Shah, Muhammad Haris Khan, Rao Muhammad Anwer, Jorma Laaksonen, Fahad Shahbaz Khan, Salman Khan
https://arxiv.org/abs/2506.06281

TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation
Modern Earth observation (EO) increasingly leverages deep learning to harness the scale and diversity of satellite imagery across sensors and regions. While recent foundation models have demonstrated promising generalization across EO tasks, many remain limited by the scale, geographical coverage, and spectral diversity of their training data, factors critical for learning globally transferable representations. In this work, we introduce TerraFM, a scalable self-supervised learning model that l…

A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge
Liang Geng
https://arxiv.org/abs/2506.00570

A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge
With the rapid penetration of artificial intelligence across industries and scenarios, a key challenge in building the next-generation intelligent core lies in effectively integrating the language understanding capabilities of foundation models with domain-specific knowledge bases in complex real-world applications. This paper proposes a multimodal cognition and embodied decision-making brain system, ``Wenlu", designed to enable secure fusion of private knowledge and public models, unified proc…

Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
Nitesh Subedi, Adam Haroon, Shreyan Ganguly, Samuel T. K. Tetteh, Prajwal Koirala, Cody Fleming, Soumik Sarkar
https://arxiv.org/abs/2506.14507

Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?
Foundation models have revolutionized robotics by providing rich semantic representations without task-specific training. While many approaches integrate pretrained vision-language models (VLMs) with specialized navigation architectures, the fundamental question remains: can these pretrained embeddings alone successfully guide navigation without additional fine-tuning or specialized modules? We present a minimalist framework that decouples this question by training a behavior cloning policy dir…

Last week, our students learned how to conduct a proper evaluation for an NLP experiment. To this end, we introduced a small textcorpus with sentences about Joseph Fourier, who counts as one of the discoverers of the greenhouse effect, responsible for global warming.

DeepSeq: High-Throughput Single-Cell RNA Sequencing Data Labeling via Web Search-Augmented Agentic Generative AI Foundation Models
Saleem A. Al Dajani, Abel Sanchez, John R. Williams
https://arxiv.org/abs/2506.13817

DeepSeq: High-Throughput Single-Cell RNA Sequencing Data Labeling via Web Search-Augmented Agentic Generative AI Foundation Models
Generative AI foundation models offer transformative potential for processing structured biological data, particularly in single-cell RNA sequencing, where datasets are rapidly scaling toward billions of cells. We propose the use of agentic foundation models with real-time web search to automate the labeling of experimental data, achieving up to 82.5% accuracy. This addresses a key bottleneck in supervised learning for structured omics data by increasing annotation throughput without manual cur…

Trump proposes elimination of
National Endowment for the Arts,
National Endowment for the Humanities;
Inter-American Foundation;
Institute for Museum and Library Sciences in 2026 budget. #NEH #NEA

An interview with US Press Freedom Tracker Senior Reporter Stephanie Sugars on documenting nearly 62,000 anti-press social posts by Trump over the past 10 years (Liam Scott/Freedom of the Press Foundation)
http://freedom.press/issues/the-repor

The reporter documenting 10 years of Trump’s anti-media posts
Since Trump’s first term as president, Stephanie Sugars has managed an extensive database that documents each and every anti-media post from Trump.

Foundation Models in Medical Imaging -- A Review and Outlook
Vivien van Veldhuizen, Vanessa Botha, Chunyao Lu, Melis Erdal Cesur, Kevin Groot Lipman, Edwin D. de Jong, Hugo Horlings, Cl\'arisa Sanchez, Cees Snoek, Ritse Mann, Eric Marcus, Jonas Teuwen
https://arxiv.org/abs/2506.09095…

Foundation Models in Medical Imaging -- A Review and Outlook
Foundation models (FMs) are changing the way medical images are analyzed by learning from large collections of unlabeled data. Instead of relying on manually annotated examples, FMs are pre-trained to learn general-purpose visual features that can later be adapted to specific clinical tasks with little additional supervision. In this review, we examine how FMs are being developed and applied in pathology, radiology, and ophthalmology, drawing on evidence from over 150 studies. We explain the co…

Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government
Michela Taufer, Rada Mihalcea, Matthew Turk, Dan Lopresti, Adam Wierman, Kevin Butler, Sven Koenig, David Danks, William Gropp, Manish Parashar, Yolanda Gil, Bill Regli, Rajmohan Rajaraman, David Jensen, Nadya Bliss, Mary Lou Maher
https://

Now More Than Ever, Foundational AI Research and Infrastructure Depends on the Federal Government
Leadership in the field of AI is vital for our nation's economy and security. Maintaining this leadership requires investments by the federal government. The federal investment in foundation AI research is essential for U.S. leadership in the field. Providing accessible AI infrastructure will benefit everyone. Now is the time to increase the federal support, which will be complementary to, and help drive, the nation's high-tech industry investments.

This https://arxiv.org/abs/2506.01933 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models
Spatial intelligence, encompassing 3D reconstruction, perception, and reasoning, is fundamental to applications such as robotics, aerial imaging, and extended reality. A key enabler is the real-time, accurate estimation of core 3D attributes (camera parameters, point clouds, depth maps, and 3D point tracks) from unstructured or streaming imagery. Inspired by the success of large foundation models in language and 2D vision, a new class of end-to-end 3D geometric foundation models (GFMs) has emer…

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
Kai Li, Conggai Li, Xin Yuan, Shenghong Li, Sai Zou, Syed Sohail Ahmed, Wei Ni, Dusit Niyato, Abbas Jamalipour, Falko Dressler, Ozgur B. Akan
https://arxiv.org/abs/2505.23792

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
This paper focuses on Zero-Trust Foundation Models (ZTFMs), a novel paradigm that embeds zero-trust security principles into the lifecycle of foundation models (FMs) for Internet of Things (IoT) systems. By integrating core tenets, such as continuous verification, least privilege access (LPA), data confidentiality, and behavioral analytics into the design, training, and deployment of FMs, ZTFMs can enable secure, privacy-preserving AI across distributed, heterogeneous, and potentially adversari…

Human-Centric Evaluation for Foundation Models
Yijin Guo, Kaiyuan Ji, Xiaorong Zhu, Junying Wang, Farong Wen, Chunyi Li, Zicheng Zhang, Guangtao Zhai
https://arxiv.org/abs/2506.01793

Human-Centric Evaluation for Foundation Models
Currently, nearly all evaluations of foundation models focus on objective metrics, emphasizing quiz performance to define model capabilities. While this model-centric approach enables rapid performance assessment, it fails to reflect authentic human experiences. To address this gap, we propose a Human-Centric subjective Evaluation (HCE) framework, focusing on three core dimensions: problem-solving ability, information quality, and interaction experience. Through experiments involving Deepseek R…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/5]:
Foundation Models for Anomaly Detection: Vision and Challenges
https://

The Wikimedia Foundation pauses an experiment that showed Wikipedia users AI-generated summaries at the top of some articles, following an editor backlash (Emanuel Maiberg/404 Media)
https://www.404media.co/wikipedia-pauses-ai-generated-summa…

Wikipedia Pauses AI-Generated Summaries After Editor Backlash
“This would do immediate and irreversible harm to our readers and to our reputation as a decently trustworthy and serious source,” one Wikipedia editor said.

AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation
Zijie Wu, Chaohui Yu, Fan Wang, Xiang Bai
https://arxiv.org/abs/2506.09982

AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation
Recent advances in 4D content generation have attracted increasing attention, yet creating high-quality animated 3D models remains challenging due to the complexity of modeling spatio-temporal distributions and the scarcity of 4D training data. In this paper, we present AnimateAnyMesh, the first feed-forward framework that enables efficient text-driven animation of arbitrary 3D meshes. Our approach leverages a novel DyMeshVAE architecture that effectively compresses and reconstructs dynamic mes…

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…

Enhancing Safety of Foundation Models for Visual Navigation through Collision Avoidance via Repulsive Estimation
Joonkyung Kim, Joonyeol Sim, Woojun Kim, Katia Sycara, Changjoo Nam
https://arxiv.org/abs/2506.03834

Enhancing Safety of Foundation Models for Visual Navigation through Collision Avoidance via Repulsive Estimation
We propose CARE (Collision Avoidance via Repulsive Estimation), a plug-and-play module that enhances the safety of vision-based navigation without requiring additional range sensors or fine-tuning of pretrained models. While recent foundation models using only RGB inputs have shown strong performance, they often fail to generalize in out-of-distribution (OOD) environments with unseen objects or variations in camera parameters (e.g., field of view, pose, or focal length). Without fine-tuning, th…

Text-to-LoRA: Instant Transformer Adaption
Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange
https://arxiv.org/abs/2506.06105 https://

Text-to-LoRA: Instant Transformer Adaption
While Foundation Models provide a general tool for rapid content creation, they regularly require task-specific adaptation. Traditionally, this exercise involves careful curation of datasets and repeated fine-tuning of the underlying model. Fine-tuning techniques enable practitioners to adapt foundation models for many new applications but require expensive and lengthy training while being notably sensitive to hyper-parameter choices. To overcome these limitations, we introduce Text-to-LoRA (T2…

The Wikimedia Foundation pauses an experiment that showed Wikipedia users AI-generated summaries at the top of some articles, following an editor backlash (Emanuel Maiberg/404 Media)
https://www.404media.co/wikipedia-pauses-ai-generated-summa…

Wikipedia Pauses AI-Generated Summaries After Editor Backlash
“This would do immediate and irreversible harm to our readers and to our reputation as a decently trustworthy and serious source,” one Wikipedia editor said.

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
Azim Dehghani Amirabad, Yanfei Zhang, Artem Moskalev, Sowmya Rajesh, Tommaso Mansi, Shuwei Li, Mangal Prakash, Rui Liao
https://arxiv.org/abs/2506.11182

Multimodal Modeling of CRISPR-Cas12 Activity Using Foundation Models and Chromatin Accessibility Data
Predicting guide RNA (gRNA) activity is critical for effective CRISPR-Cas12 genome editing but remains challenging due to limited data, variation across protospacer adjacent motifs (PAMs-short sequence requirements for Cas binding), and reliance on large-scale training. We investigate whether pre-trained biological foundation model originally trained on transcriptomic data can improve gRNA activity estimation even without domain-specific pre-training. Using embeddings from existing RNA foundati…

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning
Hao Chen, Jiaming Liu, Chenyang Gu, Zhuoyang Liu, Renrui Zhang, Xiaoqi Li, Xiao He, Yandong Guo, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng
https://arxiv.org/abs/2506.01953

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning
Generalized policy and execution efficiency constitute the two critical challenges in robotic manipulation. While recent foundation policies benefit from the common-sense reasoning capabilities of internet-scale pretrained vision-language models (VLMs), they often suffer from low execution frequency. To mitigate this dilemma, dual-system approaches, inspired by Kahneman's theory, have been proposed to leverage a VLM-based System 2 model handling high-level reasoning and a separate System 1 acti…