Tootfinder

Ukraine renews ceasefire offer — Kremlin silent: Zelenskyy on negotiations: https://benborges.xyz/2025/07/24/ukraine-renews-ceasefire-offer-kremlin.html

Kansas City mayor optimistic Chiefs will remain in Missouri, amidst Kansas' offer for team to move

https://www.cbssports.com/nfl/news/kansas-

Why is Trump all Stick and no Carrot?

Trump must offer Iran more than bombs, rage and humiliation
https://www.economist…

Trump must offer Iran more than bombs, rage and humiliation
How to prevent an inferno in the Middle East

🤩 Surgical microscope uses 48 tiny cameras to offer precise 3D imaging
#imaging

Surgical microscope uses 48 tiny cameras to offer precise 3D imaging
For over a century, surgeons performing delicate procedures have relied on stereoscopic microscopes to gain a sense of depth. These tools mimic human vision by presenting slightly different images to each eye, allowing the brain to perceive three-dimensional structures—a crucial aid when working with fragile blood vessels or intricate brain tissue. Despite modern upgrades like digital displays and video capture, today's operating microscopes still depend on the same core principle: two views,…

Can you describe specific ways you have integrated Al tools into your development workflow? Please include any custom setups, automations, or use cases beyond simple prompt usage.
there is a monster in the forest and it speaks with a thousand voices. it will answer any question you pose it, it will offer insight to any idea. it will help you, it will thank you, it will never bid you leave. it will even tell you of the darkest arts, if you know precisely how to ask.…

Building an All-Bargain Team from Prisco's Top 100 NFL players of 2025: Lions, Rams, Vikings offer big steals

https://www.cbssports.com/nfl/…

FanDuel partners with CME Group to offer event-based contracts, letting users wager "yes" or "no" on financial events and benchmarks, starting later this year (Dean Seal/Wall Street Journal)
https://www.

Cowboys may not always win at home, but they offer 'Best NFL Stadium Food' https://www.si.com/nfl/cowboys/news/dallas-cowboys-best-nfl-stadium-food-2025-nomination

US seeks to deport Kilmar Abrego Garcia to Uganda after he refused to plea offer in smuggling case (Travis Loller/Associated Press)
https://apnews.com/article/abrego-garcia-deportation-uganda-el-savador-1a94ad82d88ddda56d669ce86bc77ff4
http://www.memeorandum.com/250823/p25#a250823p25

Hey! We just came back from a nice afterwork cycling.
Currently we do an hour of easy cycling every day.
Especially after work it really a blessing.
As I'm STILL behind with the recent trips I just browsed the archives for some beautiful memories of a hike last year.
This trail doesn't offer epic vistas but the trail itself is just a gem.
The blog:

I was looking forward to another Beck episode on BBC4, only to find a war thing from France. Won't bother.

Say it with me: LLM's offer next likely token prediction.
If you want to predict likely tokens (E.g., predictive keyboard typing), great!
If you want ANYTHING OTHER THAN NEXT LIKELY TOKEN PREDICTION you don't want an LLM.
No, not even if you add RAG.
No, not even if it's "agentic".
If you want certainty, if you want rule adherence, if you want comprehension of any kind, you don't want an LLM. No matter what OpenAI tells you.

In a memo to staff, Gannett CEO Mike Reed offered employees voluntary buyout packages "to reduce our overall cost structure as we strive for revenue growth" (Allan Lengel/Deadline Detroit)
https://www.deadlinedetroit.com/articles/3

🇪🇺 🌐 With its new International Digital Strategy for the #EuropeanUnion, the EU aims to expand international partnerships, deploy an EU Tech Business Offer to partner countries, strengthen security and global digital governance.
GÉANT is proud to support several of the strategy's key areas, outlined today by Commissioner Henna Virkkunen at the

High Level Session 2: Digital Public Goods and Global Digital Cooperation, IGF 2025
The 20th annual meeting of the Internet Governance Forum is hosted by the Government of the Norway in Lillestrøm from 23 to 27 June 2025. The Forum's overarching theme is: Building Digital Governance Together.

There are greedy people, and I don't like them very much.
But people who aren't greedy, per se, but who will nonetheless always be the last to offer to pay for something, always be ready to point out that they drank half a glass less than the others, always wait to see if I cave and say ok, I'll settle this then we'll see.
These people.
These people, they make life just that little shittier, for absolutely fucking nothing.

SLM4Offer: Personalized Marketing Offer Generation Using Contrastive Learning Based Fine-Tuning
Vedasamhitha Challapalli, Konduru Venkat Sai, Piyush Pratap Singh, Rupesh Prasad, Arvind Maurya, Atul Singh
https://arxiv.org/abs/2508.15471

SLM4Offer: Personalized Marketing Offer Generation Using Contrastive Learning Based Fine-Tuning
Personalized marketing has emerged as a pivotal strategy for enhancing customer engagement and driving business growth. Academic and industry efforts have predominantly focused on recommendation systems and personalized advertisements. Nonetheless, this facet of personalization holds significant potential for increasing conversion rates and improving customer satisfaction. Prior studies suggest that well-executed personalization strategies can boost revenue by up to 40 percent, underscoring the…

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau
https://arxiv.org/abs/2507.17664

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
Event cameras offer microsecond-level latency and robustness to motion blur, making them ideal for understanding dynamic environments. Yet, connecting these asynchronous streams to human language remains an open challenge. We introduce Talk2Event, the first large-scale benchmark for language-driven object grounding in event-based perception. Built from real-world driving data, we provide over 30,000 validated referring expressions, each enriched with four grounding attributes -- appearance, sta…

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
Anirudh Satheesh, Anant Khandelwal, Mucong Ding, Radu Balan
https://arxiv.org/abs/2507.17151

PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training
Neural operators offer a powerful paradigm for solving partial differential equations (PDEs) that cannot be solved analytically by learning mappings between function spaces. However, there are two main bottlenecks in training neural operators: they require a significant amount of training data to learn these mappings, and this data needs to be labeled, which can only be accessed via expensive simulations with numerical solvers. To alleviate both of these issues simultaneously, we propose PICore…

Sources: Mark Zuckerberg discussed a possible acquisition with Runway AI; the deal talks never reached a formal offer level (Bloomberg)
https://www.bloomberg.com/news/articles/2025-06-23/meta-held-deal-talks-with-st…

Parametric Amplification of Spin-Motion Coupling in Three-Dimensional Trapped-Ion Crystals
Samarth Hawaldar, N. Nikhil, Ana Maria Rey, John J. Bollinger, Athreya Shankar
https://arxiv.org/abs/2507.16741

Parametric Amplification of Spin-Motion Coupling in Three-Dimensional Trapped-Ion Crystals
Three-dimensional (3D) crystals offer a route to scale up trapped ion systems for quantum sensing and quantum simulation applications. However, engineering coherent spin-motion couplings and effective spin-spin interactions in large crystals poses technical challenges associated with decoherence and prolonged timescales to generate appreciable entanglement. Here, we explore the possibility to speed up these interactions in 3D crystals via parametric amplification. We derive a general Hamiltonia…

MinD: Unified Visual Imagination and Control via Hierarchical World Models
Xiaowei Chi, Kuangzhi Ge, Jiaming Liu, Siyuan Zhou, Peidong Jia, Zichen He, Yuzhen Liu, Tingguang Li, Lei Han, Sirui Han, Shanghang Zhang, Yike Guo
https://arxiv.org/abs/2506.18897

MinD: Unified Visual Imagination and Control via Hierarchical World Models
Video generation models (VGMs) offer a promising pathway for unified world modeling in robotics by integrating simulation, prediction, and manipulation. However, their practical application remains limited due to (1) slowgeneration speed, which limits real-time interaction, and (2) poor consistency between imagined videos and executable actions. To address these challenges, we propose Manipulate in Dream (MinD), a hierarchical diffusion-based world model framework that employs a dual-system des…

Evaluating the Use of LLMs for Documentation to Code Traceability
Ebube Alor, SayedHassan Khatoonabadi, Emad Shihab
https://arxiv.org/abs/2506.16440 https:…

Evaluating the Use of LLMs for Documentation to Code Traceability
Large Language Models (LLMs) offer new potential for automating documentation-to-code traceability, yet their capabilities remain underexplored. We present a comprehensive evaluation of LLMs (Claude 3.5 Sonnet, GPT-4o, and o3-mini) in establishing trace links between various software documentation (including API references and user guides) and source code. We create two novel datasets from two open-source projects (Unity Catalog and Crawl4AI). Through systematic experiments, we assess three key…

Oxnard Observations: Cowboys first two days from camp offer intriguing possibilities https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/07/23/standout-observations-from-the-first-tw…

Might I offer some cute dog pictures in these trying times?

Tesla Tries to Save the Cybertruck With Its Most Desperate Offer Yet (free self-driving software, $12k worth)
https://gizmodo.com/tesla-tries-to-save-the-cybertruck-with-its-most-desperate-offer-yet-2000631752

Large Language Models as Psychological Simulators: A Methodological Guide
Zhicheng Lin
https://arxiv.org/abs/2506.16702 https://arxiv…

Large Language Models as Psychological Simulators: A Methodological Guide
Large language models (LLMs) offer emerging opportunities for psychological and behavioral research, but methodological guidance is lacking. This article provides a framework for using LLMs as psychological simulators across two primary applications: simulating roles and personas to explore diverse contexts, and serving as computational models to investigate cognitive processes. For simulation, we present methods for developing psychologically grounded personas that move beyond demographic cate…

Topological Correlation
Isabella Mastroianni, Ulderico Fugacci
https://arxiv.org/abs/2506.16985 https://arxiv.org/pdf/2506.16985

Topological Correlation
We introduce two novel concepts, topological difference and topological correlation, that offer a new perspective on the discriminative power of multiparameter persistence. The former quantifies the discrepancy between multiparameter and monoparameter persistence, while the other leverages this gap to measure the interdependence of filtering functions. Our framework sheds light on the expressive advantage of multiparameter over monoparameter persistence and suggests potential applications.

A unified approach to total irregular labeling
Aleams Barra
https://arxiv.org/abs/2506.17922 https://arxiv.org/pdf/2506.17922

A unified approach to total irregular labeling
We present a unified approach to compute the total vertex irregularity strength (tvs) of various graphs, employing a novel technique recently proposed by Barra et al. For graphs such as cycles, paths, prisms, wheels, complete graphs, helm graphs, friendship graphs, and $K_{n,n}$ , we offer simplified and unified proofs of their previously established tvs values. Furthermore, we resolve an open problem by determining the tvs for simple 2-regular graphs.

Food Lion had a bottle of Cabernet with a dollar off offer if you bought meat. Just make a copy of your receipt, circle the meat items, and mail it in. Current postage costs 78 cents. Wot??.?

Autonomous Dominant Resource Fairness for Blockchain Ecosystems
Serdar Metin
https://arxiv.org/abs/2507.16350 https://arxiv.org/pdf/2…

Autonomous Dominant Resource Fairness for Blockchain Ecosystems
Blockchain systems have been a part of mainstream academic research, and a hot topic at that. It has spread to almost every subfield in the computer science literature, as well as economics and finance. Especially in a world where digital trust is much sought for, blockchains offer a rich variety of desired properties, such as immutability, public auditing, decentralised record keeping, among others. Not only has it been a research topic of its own, the integration of blockchains into other sys…

Micah Parsons hasn't received contract offer from Cowboys amid tense negotiations with Jerry Jones, per report

https://www.cbssports.com/nfl/news/mi…

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
Jushaan Singh Kalra, Xinran Zhao, To Eun Kim, Fengyu Cai, Fernando Diaz, Tongshuang Wu
https://arxiv.org/abs/2506.15862

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
Retrieval-augmented Generation (RAG) is powerful, but its effectiveness hinges on which retrievers we use and how. Different retrievers offer distinct, often complementary signals: BM25 captures lexical matches; dense retrievers, semantic similarity. Yet in practice, we typically fix a single retriever based on heuristics, which fails to generalize across diverse information needs. Can we dynamically select and integrate multiple retrievers for each individual query, without the need for manual…

Spinfoam tunneling of quantum geometries in angle variables
Pietro Don\`a, Hal M. Haggard, Carlo Rovelli, Gowrisankar Sreeram, Jacopo Taddei
https://arxiv.org/abs/2507.16633

Spinfoam tunneling of quantum geometries in angle variables
Tunneling processes offer a promising path for finding signatures of quantum gravity. While tunneling of geometry has long been recognized in the literature, few detailed analyses have been carried out. We investigate covariant Loop Quantum Gravity transitions in the holonomy representation, which naturally encodes the extrinsic curvature of boundary states. We study these amplitudes within the simple framework of the Ponzano-Regge spinfoam model for three-dimensional Euclidean quantum gravity.…

AGE-US: automated gestational age estimation based on fetal ultrasound images
C\'esar D\'iaz-Parga, Marta Nu\~nez-Garcia, Maria J. Carreira, Gabriel Bernardino, Nicol\'as Vila-Blanco
https://arxiv.org/abs/2506.16256

AGE-US: automated gestational age estimation based on fetal ultrasound images
Being born small carries significant health risks, including increased neonatal mortality and a higher likelihood of future cardiac diseases. Accurate estimation of gestational age is critical for monitoring fetal growth, but traditional methods, such as estimation based on the last menstrual period, are in some situations difficult to obtain. While ultrasound-based approaches offer greater reliability, they rely on manual measurements that introduce variability. This study presents an interpre…

Emmanuel Macron has said
Europe is to make Iran a comprehensive offer to end its war with Israel
that would include an Iranian move to zero uranium enrichment,
restrictions on its ballistic missile programme
and an end to Tehran’s funding of terrorist groups.
The proposals are surprisingly broad, spanning a range of complex issues beyond Iran’s disputed nuclear program.
One proposal recently aired is for Iran to suspend uranium enrichment for the duration of …

11 Vegan Muffin Recipes #plantbased

11 Vegan Muffin Recipes
These vegan muffin recipes offer a variety of different sweet and savory muffins to suit any taste and dietary preferences.

GRB 241105A: A test case for GRB classification and rapid r-process nucleosynthesis channels
Dimple, B. P. Gompertz, A. J. Levan, D. B. Malesani, T. Laskar, S. Bala, A. A. Chrimes, K. Heintz, L. Izzo, G. P. Lamb, D. O'Neill, J. T. Palmerio, A. Saccardi, G. E. Anderson, C. De Barra, Y. Huang, A. Kumar, H. Li, S. McBreen, O. Mukherjee, S. R. Oates, U. Pathak, Y. Qiu, O. J. Roberts, R. Sonawane, P. Veres, K. Ackley, X. Han, Y. Julakanti, J. Wang, P. D'Avanzo, A. Martin-Carrillo, M…

GRB 241105A: A test case for GRB classification and rapid r-process nucleosynthesis channels
Gamma-ray bursts (GRBs) offer a powerful window to probe the progenitor systems responsible for the formation of heavy elements through the rapid neutron capture (r-) process, thanks to their exceptional luminosity, which allows them to be observed across vast cosmic distances. GRB 241105A, observed at a redshift of z = 2.681, features a short initial spike (1.5 s) and a prolonged weak emission lasting about 64 s, positioning it as a candidate for a compact binary merger and potentially marking…

Learning to Write on Dirty Paper
Ezgi Ozyilkan, O\u{g}uzhan Kubilay \"Ulger, Elza Erkip
https://arxiv.org/abs/2507.17427 https://arxiv.org/pdf/2507.17…

Learning to Write on Dirty Paper
Dirty paper coding (DPC) is a classical problem in information theory that considers communication in the presence of channel state known only at the transmitter. While the theoretical impact of DPC has been substantial, practical realizations of DPC, such as Tomlinson-Harashima precoding (THP) or lattice-based schemes, often rely on specific modeling assumptions about the input, state and channel. In this work, we explore whether modern learning-based approaches can offer a complementary path …

ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data
Aviral Prakash, Ben S. Southworth, Marc L. Klasky
https://arxiv.org/abs/2506.18855

ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data
Multi-query applications such as parameter estimation, uncertainty quantification and design optimization for parameterized PDE systems are expensive due to the high computational cost of high-fidelity simulations. Reduced/Latent state dynamics approaches for parameterized PDEs offer a viable method where high-fidelity data and machine learning techniques are used to reduce the system's dimensionality and estimate the dynamics of low-dimensional reduced states. These reduced state dynamics appr…

SpyVPN: The Google-Featured VPN That Secretly Captures Your Screen #vpn …

Transformers for Stratified Spectropolarimetric Inversion: Proof of Concept
Ryan James Campbell, Mihalis Mathioudakis, Carlos Quintero Noda
https://arxiv.org/abs/2506.16810

Transformers for Stratified Spectropolarimetric Inversion: Proof of Concept
Solar spectropolarimetric inversion -- inferring atmospheric conditions from the Stokes vector -- is a key diagnostic tool for understanding solar magnetism, but traditional inversion methods are computationally expensive and sensitive to local minima. Advances in artificial intelligence (AI) offer faster solutions, but are often restricted to shallow models or a few spectral lines. We present a proof-of-concept study using a transformer machine learning (ML) model for multi-line, full-Stokes i…

Efficient and Distortion-less Spectrum Multiplexer via Neural Network-based Filter Banks
Jiazhao Wang, Wenchao Jiang
https://arxiv.org/abs/2507.17106 https://

Efficient and Distortion-less Spectrum Multiplexer via Neural Network-based Filter Banks
Spectrum multiplexer enables simultaneous transmission of multiple narrow-band IoT signals through gateway devices, thereby enhancing overall spectrum utilization. We propose a novel solution based on filter banks that offer increased efficiency and minimal distortion compared with conventional methods. We follow a model-driven approach to integrate the neural networks into the filter bank design by interpreting the neural network models as filter banks. The proposed NN-based filter banks can l…

Bayesian Variational Inference for Mixed Data Mixture Models
Junyang Wang, James Bennett, Victor Lhoste, Sarah Filippi
https://arxiv.org/abs/2507.16545 htt…

Bayesian Variational Inference for Mixed Data Mixture Models
Heterogeneous, mixed type datasets including both continuous and categorical variables are ubiquitous, and enriches data analysis by allowing for more complex relationships and interactions to be modelled. Mixture models offer a flexible framework for capturing the underlying heterogeneity and relationships in mixed type datasets. Most current approaches for modelling mixed data either forgo uncertainty quantification and only conduct point estimation, and some use MCMC which incurs a very high…

Application of Whisper in Clinical Practice: the Post-Stroke Speech Assessment during a Naming Task
Milena Davudova, Ziyuan Cai, Valentina Giunchiglia, Dragos C. Gruia, Giulia Sanguedolce, Adam Hampshire, Fatemeh Geranmayeh
https://arxiv.org/abs/2507.17326

Application of Whisper in Clinical Practice: the Post-Stroke Speech Assessment during a Naming Task
Detailed assessment of language impairment following stroke remains a cognitively complex and clinician-intensive task, limiting timely and scalable diagnosis. Automatic Speech Recognition (ASR) foundation models offer a promising pathway to augment human evaluation through intelligent systems, but their effectiveness in the context of speech and language impairment remains uncertain. In this study, we evaluate whether Whisper, a state-of-the-art ASR foundation model, can be applied to transcri…

The Trump administration plans to vet AI models for "ideological bias" and limit government contracts to tech companies whose models offer "objective truth" (Financial Times)
https://www.ft.com/content/406bc127-e1c3-41d5-9e68-b8921856c3c7

Towards Real-time Structural Dynamics Simulation with Graph-based Digital Twin Modelling
Jun Zhang, Tong Zhang, Ying Wang
https://arxiv.org/abs/2506.18724 …

Towards Real-time Structural Dynamics Simulation with Graph-based Digital Twin Modelling
Precise and timely simulation of a structure's dynamic behavior is crucial for evaluating its performance and assessing its health status. Traditional numerical methods are often limited by high computational costs and low efficiency, while deep learning approaches offer a promising alternative. However, these data-driven methods still face challenges, such as limited physical interpretability and difficulty in adapting to diverse structural configurations. To address these issues, this study p…

Metacurity is pleased to offer our free and premium subscribers a weekly digest of the best long-form (and longish) infosec-related pieces we couldn't properly fit into our daily news crush.
This week's selection covers
--Tech-facilitated intimate partner stalking is rampant,
--Algorithms trap users in right-wing hatred,
--Pavel Durov denies he's a buddy of Putin,
--Musk lied to grab Social Security data,
--DOGE damaged the VA with a bad AI syst…

Best infosec-related long reads for the week of 6/14/25
Tech-facilitated intimate partner stalking is rampant, Algorithms trap users in right-wing hatred, Pavel Durov denies he's a buddy of Putin, Musk lied to grab Social Security data, DOGE damaged the VA with a bad AI system

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
Muhammad Ihsan Al Hafiz, Naresh Ravichandran, Anders Lansner, Pawel Herman, Artur Podobas
https://arxiv.org/abs/2506.18530

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference
Edge AI applications increasingly require models that can learn and adapt on-device with minimal energy budget. Traditional deep learning models, while powerful, are often overparameterized, energy-hungry, and dependent on cloud connectivity. Brain-Like Neural Networks (BLNNs), such as the Bayesian Confidence Propagation Neural Network (BCPNN), propose a neuromorphic alternative by mimicking cortical architecture and biologically-constrained learning. They offer sparse architectures with local …

Fair Contracts in Principal-Agent Games with Heterogeneous Types
Jakub T{\l}uczek, Victor Villin, Christos Dimitrakakis
https://arxiv.org/abs/2506.15887 ht…

Fair Contracts in Principal-Agent Games with Heterogeneous Types
Fairness is desirable yet challenging to achieve within multi-agent systems, especially when agents differ in latent traits that affect their abilities. This hidden heterogeneity often leads to unequal distributions of wealth, even when agents operate under the same rules. Motivated by real-world examples, we propose a framework based on repeated principal-agent games, where a principal, who also can be seen as a player of the game, learns to offer adaptive contracts to agents. By leveraging a …

🍺 Rice could be key to brewing better non-alcoholic beer
https://arstechnica.com/science/2025/07/rice-could-be-key-to-brewing-better-non-alcoholic-beer/

Rice could be key to brewing better non-alcoholic beer
“It’s time we move beyond outdated perceptions and recognize what rice can offer in creating beer.”…

Understanding Online Polarization Through Human-Agent Interaction in a Synthetic LLM-Based Social Network
Tim Donkers, J\"urgen Ziegler
https://arxiv.org/abs/2506.15866

Understanding Online Polarization Through Human-Agent Interaction in a Synthetic LLM-Based Social Network
The rise of social media has fundamentally transformed how people engage in public discourse and form opinions. While these platforms offer unprecedented opportunities for democratic engagement, they have been implicated in increasing social polarization and the formation of ideological echo chambers. Previous research has primarily relied on observational studies of social media data or theoretical modeling approaches, leaving a significant gap in our understanding of how individuals respond t…

Primordial magnetic fields and modified recombination histories
Jonathan Schiff, Tejaswi Venumadhav
https://arxiv.org/abs/2506.16517 https://

Primordial magnetic fields and modified recombination histories
Recent cosmological data and astrophysical observations, such as the Hubble tension and the increasing preference from galaxy surveys for dynamical dark energy, have begun to challenge the standard $Λ$-cold dark matter cosmological model. Primordial magnetic fields (PMFs) offer a mechanism to alleviate these tensions within the framework of the standard model. These fields source excess small-scale baryon clumping, which can speed up recombination and shrink the comoving sound horizon at the s…

Navigating AGN variability with self-organizing maps
Ylenia Maruccia, Demetra De Cicco, Stefano Cavuoti, Giuseppe Riccio, Paula S\'anchez-S\'aez, Maurizio Paolillo, Noemi Lery Borrelli, Riccardo Crupi, Massimo Brescia
https://arxiv.org/abs/2506.16902

Navigating AGN variability with self-organizing maps
Context. The classification of active galactic nuclei (AGNs) is a challenge in astrophysics. Variability features extracted from light curves offer a promising avenue for distinguishing AGNs and their subclasses. This approach would be very valuable in sight of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). Aims. Our goal is to utilize self-organizing maps (SOMs) to classify AGNs based on variability features and investigate how the use of different subsets of features …

NEO-PGA: Nonvolatile electro-optically programmable gate array
Rui Chen, Andrew Tang, Jayita Dutta, Virat Tara, Julian Ye, Zhuoran Fang, Arka Majumdar
https://arxiv.org/abs/2506.18592

NEO-PGA: Nonvolatile electro-optically programmable gate array
Programmable photonic integrated circuits (PICs) offer a unique opportunity to create a flexible platform, akin to electronic field programmable gate array (FPGA). These photonic PGAs can implement versatile functionalities for applications ranging from optical interconnects to microwave photonics. However, state-of-the-art programmable photonics relies predominantly on volatile thermo-optic tuning, which suffers from high static power consumption, large footprints, and thermal crosstalk. All t…

Blue Lights, Insurmountable Debt, and the Affordances of its Erasure
https://ift.tt/651c0QD
By Justin Martin In The Dawn of Everything: A New History of Humanity (2021), anthropologist David…
via Input 4 RELCFP

Blue Lights, Insurmountable Debt, and the Affordances of its Erasure
By Justin Martin In The Dawn of Everything: A New History of Humanity (2021), anthropologist David Graeber and Archeologist David Wengrow set out to offer a new way of thinking about the human orig…

I don't think I'll read anything funnier today. https://www.theguardian.com/uk-news/2025/aug/13/over-46000-public-bodies-spurned-offer-of-free-king-charles-portrait

Corner Topology Makes Woven Baskets into Stiff, yet Resilient Metamaterials
Guowei Wayne Tu, Evgueni T. Filipov
https://arxiv.org/abs/2506.18197 https://…

Corner Topology Makes Woven Baskets into Stiff, yet Resilient Metamaterials
Basket weaving is a traditional craft used to create practical three-dimensional (3D) structures. While the geometry and aesthetics of baskets have received considerable attention, the underlying mechanics and modern engineering potential remain underexplored. This work shows that 3D woven structures offer similar stiffness yet substantially higher resilience than their non-woven continuous counterparts. We explore corner topologies that serve as building blocks to convert 2D woven sheets into …

3. Sa11y is a really great tool: https://sa11y.netlify.app It’s a live, in-page accessibility audit whose workflow is far, far more useful for actually improving the page than the server-based “enter your URL” online services. Killer features:
- It live-highlights potential issues on the page.
- It lets you dismiss warnings and •remembers that you dismissed them•, so it can offer subjective concerns that require manual review (e.g. “this image is marked as decorative; is that correct?”).
- Per the previous post, it actually respects the contrast setting, because it reports on what’s on the screen.

The Third Hankel determinant for inverse coefficients of bounded turning functions
Mohsan Raza, Nikola Tuneski
https://arxiv.org/abs/2506.16212 https://

The Third Hankel determinant for inverse coefficients of bounded turning functions
In this paper, we obtain sharp bounds for the third Hankel determinants of the coefficients of the inverse of bounded turning functions. Thus answering a negatively to a conjecture recently posed regarding these functions. Additionally, we offer a positive response for the Hankel determinant related to a class of bounded turning functions.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks
Marcel Kleinmann, Shashank Agnihotri, Margret Keuper
https://arxiv.org/abs/2507.16761

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks
Faithfulness and interpretability are essential for deploying deep neural networks (DNNs) in safety-critical domains such as medical imaging. B-cos networks offer a promising solution by replacing standard linear layers with a weight-input alignment mechanism, producing inherently interpretable, class-specific explanations without post-hoc methods. While maintaining diagnostic performance competitive with state-of-the-art DNNs, standard B-cos models suffer from severe aliasing artifacts in thei…

Sources: Apple is locked in last-minute EU negotiations over App Store changes to avoid fines set for this week, and is expected to offer "steering" concessions (Barbara Moens/Financial Times)
https://www.ft.com/content/b5d51870-e864-4aa5-b998-c0d2994a7e2…

Apple locked in last-minute App Store negotiations to avoid Brussels fines
Tech group must make concessions to comply with Digital Markets Act or be hit by escalating levies from Thursday

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong
https://arxiv.org/abs/2507.17204

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
Effective content moderation is essential for video platforms to safeguard user experience and uphold community standards. While traditional video classification models effectively handle well-defined moderation tasks, they struggle with complicated scenarios such as implicit harmful content and contextual ambiguity. Multimodal large language models (MLLMs) offer a promising solution to these limitations with their superior cross-modal reasoning and contextual understanding. However, two key ch…

Jones: Offer to Parsons was richest for non-QB https://www.espn.com/nfl/story/_/id/46043382/jerry-jones-cowboys-offer-parsons-was-richest-non-qb

Adam Schefter Explains Why Cowboys' Lack of Offer to Micah Parsons Isn't Surprising https://www.si.com/nfl/adam-schefter-dallas-cowoys-micah-parsons-contract

Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain
Rishemjit Kaur, Arshdeep Singh Bhankhar, Surangika Ranathunga, Jashanpreet Singh Salh, Sudhir Rajput, Vidhi, Kashish Mahendra, Bhavika Berwal, Ritesh Kumar
https://arxiv.org/abs/2507.16974…

Leveraging Synthetic Data for Question Answering with Multilingual LLMs in the Agricultural Domain
Enabling farmers to access accurate agriculture-related information in their native languages in a timely manner is crucial for the success of the agriculture field. Although large language models (LLMs) can be used to implement Question Answering (QA) systems, simply using publicly available general-purpose LLMs in agriculture typically offer generic advisories, lacking precision in local and multilingual contexts due to insufficient domain-specific training and scarcity of high-quality, regio…

No-go theorems for logical gates on product quantum codes
Xiaozhen Fu, Han Zheng, Zimu Li, Zi-Wen Liu
https://arxiv.org/abs/2507.16797 https://

No-go theorems for logical gates on product quantum codes
Quantum error-correcting codes are essential to the implementation of fault-tolerant quantum computation. Homological products of classical codes offer a versatile framework for constructing quantum error-correcting codes with desirable properties, especially quantum low-density parity check (qLDPC) codes. Based on extensions of the Bravyi--König theorem that encompass codes without geometric locality, we establish a series of general no-go theorems for fault-tolerant logical gates supported b…

A Scalable Post-Processing Pipeline for Large-Scale Free-Space Multi-Agent Path Planning with PiBT
Arjo Chakravarty, Michael X. Grey, M. A. Viraj J. Muthugala, Mohan Rajesh Elara
https://arxiv.org/abs/2506.16748

A Scalable Post-Processing Pipeline for Large-Scale Free-Space Multi-Agent Path Planning with PiBT
Free-space multi-agent path planning remains challenging at large scales. Most existing methods either offer optimality guarantees but do not scale beyond a few dozen agents, or rely on grid-world assumptions that do not generalize well to continuous space. In this work, we propose a hybrid, rule-based planning framework that combines Priority Inheritance with Backtracking (PiBT) with a novel safety-aware path smoothing method. Our approach extends PiBT to 8-connected grids and selectively appl…

How Do Code Smells Affect Skill Growth in Scratch Novice Programmers?
Ricardo Hidalgo Arag\'on, Jes\'us M. Gonz\'alez-Barahona, Gregorio Robles
https://arxiv.org/abs/2507.17314

How Do Code Smells Affect Skill Growth in Scratch Novice Programmers?
Context. Code smells, which are recurring anomalies in design or style, have been extensively researched in professional code. However, their significance in block-based projects created by novices is still largely unknown. Block-based environments such as Scratch offer a unique, data-rich setting to examine how emergent design problems intersect with the cultivation of computational-thinking (CT) skills. Objective. This research explores the connection between CT proficiency and design-level c…

AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview
Aditi Madhusudan Jain, Ayush Jain
https://arxiv.org/abs/2506.17370

AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview
As e-commerce rapidly integrates artificial intelligence for content creation and product recommendations, these technologies offer significant benefits in personalization and efficiency. AI-driven systems automate product descriptions, generate dynamic advertisements, and deliver tailored recommendations based on consumer behavior, as seen in major platforms like Amazon and Shopify. However, the widespread use of AI in e-commerce raises crucial ethical challenges, particularly around data priv…

Fiserv aims to launch its own stablecoin by 2025's end, and partners with PayPal and Circle to develop new products for financial institutions and merchants (Emily Mason/Bloomberg)
https://www.bloomberg.com/news/articles/20

Biases in LLM-Generated Musical Taste Profiles for Recommendation
Bruno Sguerra, Elena V. Epure, Harin Lee, Manuel Moussallam
https://arxiv.org/abs/2507.16708

Biases in LLM-Generated Musical Taste Profiles for Recommendation
One particularly promising use case of Large Language Models (LLMs) for recommendation is the automatic generation of Natural Language (NL) user taste profiles from consumption data. These profiles offer interpretable and editable alternatives to opaque collaborative filtering representations, enabling greater transparency and user control. However, it remains unclear whether users consider these profiles to be an accurate representation of their taste, which is crucial for trust and usability.…

A deep search for radio pulsations from the 1.3 M$_{\odot}$ compact-object binary companion of young pulsar PSR J1906 0746
Yuyang Wang, Joeri van Leeuwen
https://arxiv.org/abs/2507.17641

A deep search for radio pulsations from the 1.3 M$_{\odot}$ compact-object binary companion of young pulsar PSR J1906+0746
Double pulsar systems offer unrivaled advantages for the study of both astrophysics and fundamental physics. But only one has been visible: PSR J0737$-$3039; and its component pulsar B has now rotated out of sight due to the general-relativistic effect of geodetic precession. We know, though, that these precession cycles can also pivot pulsars into sight, and that this precession occurs at similar strength in PSR J1906+0746. That source is a young, unrecycled radio pulsar, orbiting a compact ob…

Bidirectional anisotropic solar energetic particle events observed by Solar Orbiter
Zheyi Ding, Robert F. Wimmer-Schweingruber, Yu Chen, Lingling Zhao, Alexander Kollhoff, Patrick K\"uhl, Liu Yang, Lars Berger, Verena Heidrich-Meisner, Javier Rodriguez-Pacheco, George C. Ho, Glenn M. Mason, Gang Li, Tom\'a\v{s} Form\'anek, Christopher J. Owen
https…

Bidirectional anisotropic solar energetic particle events observed by Solar Orbiter
Solar Energetic Particle (SEP) events are critical for understanding particle acceleration and transport in the heliosphere. While most SEP events involve outward streaming particles along open magnetic field lines, bidirectional events characterized by simultaneous sunward and anti-sunward particle flows offer unique insights into magnetic field topology and the interplay of multiple acceleration sources. We aim to investigate the origin and transport of energetic particles in two rare bidirec…

LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks
Majumder Haider, Imtiaz Ahmed, Zoheb Hassan, Kamrul Hasan, H. Vincent Poor
https://arxiv.org/abs/2506.18293

LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks
Next-generation (NextG) wireless networks are expected to require intelligent, scalable, and context-aware radio resource management (RRM) to support ultra-dense deployments, diverse service requirements, and dynamic network conditions. Digital twins (DTs) offer a powerful tool for network management by creating high-fidelity virtual replicas that model real-time network behavior, while large language models (LLMs) enhance decision-making through their advanced generalization and contextual rea…

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Shusen Ma, Yun-Bo Zhao, Yu Kang
https://arxiv.org/abs/2507.17454

C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Multivariate time series forecasting has drawn increasing attention due to its practical importance. Existing approaches typically adopt either channel-mixing (CM) or channel-independence (CI) strategies. CM strategy can capture inter-variable dependencies but fails to discern variable-specific temporal patterns. CI strategy improves this aspect but fails to fully exploit cross-variable dependencies like CM. Hybrid strategies based on feature fusion offer limited generalization and interpretabi…

Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
Zezhong Zhang, Caroline Tatsuoka, Dongbin Xiu, Guannan Zhang
https://arxiv.org/abs/2506.18227

Exact Conditional Score-Guided Generative Modeling for Amortized Inference in Uncertainty Quantification
We propose an efficient framework for amortized conditional inference by leveraging exact conditional score-guided diffusion models to train a non-reversible neural network as a conditional generative model. Traditional normalizing flow methods require reversible architectures, which can limit their expressiveness and efficiency. Although diffusion models offer greater flexibility, they often suffer from high computational costs during inference. To combine the strengths of both approaches, we …

Prospects for searching for sterile neutrinos in dynamical dark energy cosmologies using joint observations of gravitational waves and $\gamma$-ray bursts
Lu Feng, Tao Han, Jing-Fei Zhang, Xin Zhang
https://arxiv.org/abs/2507.17315

Prospects for searching for sterile neutrinos in dynamical dark energy cosmologies using joint observations of gravitational waves and $γ$-ray bursts
In the era of third-generation (3G) gravitational-wave (GW) detectors, GW standard siren observations from binary neutron star mergers provide a powerful tool for probing the expansion history of the universe. Since sterile neutrinos can influence cosmic evolution by modifying the radiation content and suppressing structure formation, GW standard sirens offer promising prospects for constraining sterile neutrino properties within a cosmological framework. Building on this, we investigate the pr…

Risk-Guided Diffusion: Toward Deploying Robot Foundation Models in Space, Where Failure Is Not An Option
Rohan Thakker, Adarsh Patnaik, Vince Kurtz, Jonas Frey, Jonathan Becktor, Sangwoo Moon, Rob Royce, Marcel Kaufmann, Georgios Georgakis, Pascal Roth, Joel Burdick, Marco Hutter, Shehryar Khattak
https://arxiv.org/abs/2506.1760…

Risk-Guided Diffusion: Toward Deploying Robot Foundation Models in Space, Where Failure Is Not An Option
Safe, reliable navigation in extreme, unfamiliar terrain is required for future robotic space exploration missions. Recent generative-AI methods learn semantically aware navigation policies from large, cross-embodiment datasets, but offer limited safety guarantees. Inspired by human cognitive science, we propose a risk-guided diffusion framework that fuses a fast, learned "System-1" with a slow, physics-based "System-2", sharing computation at both training and inference to couple adaptability …

Broadband Low-Resolution Spectrograph -- SpectrumMate LR
Nguyen Nguyen-Duc, Thuy Le-Quang, Tobias C. Hinse, Tue Nguyen-Van, Quang Nguyen-Luong
https://arxiv.org/abs/2506.16153

Broadband Low-Resolution Spectrograph -- SpectrumMate LR
This paper presents the development and application of SpectrumMate LR, a broadband, low-resolution spectrograph for small telescope use. SpectrumMate LR is designed to offer affordable, accessible spectroscopic capabilities for amateur astronomers and educators, inspired by the need for versatile instruments in amateur and educational settings. Utilising a 300 grooves/mm grating, 80 mm collimator and objective lenses, SpectrumMate LR is optimised to perform analyses across the visible spectrum…

All Optical Classification Surpasses Cascaded Diffractive Networks through Dual Wavelength Differential Modulation within a Single Layer Architecture
Haoyu Wang, Yanmin Zhu, Tong Fu
https://arxiv.org/abs/2507.17374

All Optical Classification Surpasses Cascaded Diffractive Networks through Dual Wavelength Differential Modulation within a Single Layer Architecture
Diffractive deep neural networks (D2NNs), which perform computation using light instead of electrons, offer a promising pathway toward accelerating artificial intelligence by leveraging the inherent advantages of optics in speed, parallelism, and energy efficiency. However, conventional multi-layer D2NNs suffer from inter-layer misalignments that significantly increase system complexity and degrade performance, particularly under visible-light operation where optical alignment is highly sensiti…

Defense secretary Pete Hegseth, ordered that national guard troops patrolling the streets of Washington DC under federal control will now be armed.
The defense department did not immediately offer any other details about arming the federalized troops in DC, or why it was needed.
The step is an escalation in the federal government’s rare intervention into policing in the nation’s capital and came as nearly 2,000 national guard members are stationed in the city.
Earlier this …

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
Sajratul Y. Rubaiat, Hasan M. Jamil
https://arxiv.org/abs/2506.17580

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
The exponential growth of scientific literature challenges researchers extracting and synthesizing knowledge. Traditional search engines return many sources without direct, detailed answers, while general-purpose LLMs may offer concise responses that lack depth or omit current information. LLMs with search capabilities are also limited by context window, yielding short, incomplete answers. This paper introduces WISE (Workflow for Intelligent Scientific Knowledge Extraction), a system addressing…

Here's where Jerry Jones says Parsons' agent told him to place Cowboys' contract offer https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/21/cowboys-jones-speaks-on-derail…

General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
Bernard Lange, Anil Yildiz, Mansur Arief, Shehryar Khattak, Mykel Kochenderfer, Georgios Georgakis
https://arxiv.org/abs/2506.17462

General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting
Developing general-purpose navigation policies for unknown environments remains a core challenge in robotics. Most existing systems rely on task-specific neural networks and fixed data flows, limiting generalizability. Large Vision-Language Models (LVLMs) offer a promising alternative by embedding human-like knowledge suitable for reasoning and planning. Yet, prior LVLM-robot integrations typically depend on pre-mapped spaces, hard-coded representations, and myopic exploration. We introduce the…

The head of the British armed forces will tell his American counterparts
the UK is prepared to send troops to defend Ukraine’s skies and seas
but not to the frontline with Russia,
as planning intensifies for a postwar settlement.
Tony Radakin, the chief of the defence staff, will on Wednesday attend meetings at the Pentagon
designed to finalise what 30 different countries are willing to commit to Ukraine’s national security.
Radakin is expected to
co…

Prospects for GeV Neutrino Transient Searches with the IceCube Upgrade
Yukiho Kobayashi (for the IceCube Collaboration)
https://arxiv.org/abs/2507.16050 ht…

Prospects for GeV Neutrino Transient Searches with the IceCube Upgrade
The recent detection of TeV neutrino sources by the IceCube Neutrino Observatory demonstrates the detector's advanced capabilities in detecting high-energy astrophysical neutrinos. At lower energies, down to the GeV range, a variety of transient phenomena, such as novae, supernovae, and gamma-ray bursts, are expected to emit neutrinos. Observations of these neutrinos can provide unique insights into processes below the photosphere and offer clues to identifying their emission mechanisms. We hav…

A Generative Model for Disentangling Galaxy Photometric Parameters
Keen Leung, Colen Yan, Jun Yin
https://arxiv.org/abs/2507.15898 https://

A Generative Model for Disentangling Galaxy Photometric Parameters
Ongoing and future photometric surveys will produce unprecedented volumes of galaxy images, necessitating robust, efficient methods for deriving galaxy morphological parameters at scale. Traditional approaches, such as parametric light-profile fitting, offer valuable insights but become computationally prohibitive when applied to billions of sources. In this work, we propose a Conditional AutoEncoder (CAE) framework to simultaneously model and characterize galaxy morphology. Our CAE is trained …

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Jinhyung Park, Javier Romero, Shunsuke Saito, Fabian Prada, Takaaki Shiratori, Yichen Xu, Federica Bogo, Shoou-I Yu, Kris Kitani, Rawal Khirodkar
https://arxiv.org/abs/2508.15767

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Parametric body models offer expressive 3D representation of humans across a wide range of poses, shapes, and facial expressions, typically derived by learning a basis over registered 3D meshes. However, existing human mesh modeling approaches struggle to capture detailed variations across diverse body poses and shapes, largely due to limited training data diversity and restrictive modeling assumptions. Moreover, the common paradigm first optimizes the external body surface using a linear basis…

Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
Catarina Pires, S\'ergio Nunes, Lu\'is Filipe Teixeira
https://arxiv.org/abs/2506.17782

Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
Evaluating Information Retrieval (IR) systems relies on high-quality manual relevance judgments (qrels), which are costly and time-consuming to obtain. While pooling reduces the annotation effort, it results in only partially labeled datasets. Large Language Models (LLMs) offer a promising alternative to reducing reliance on manual judgments, particularly in complex domains like medical case-based retrieval, where relevance assessment requires analyzing both textual and visual information. In t…

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts -- Extended Version
Nghiem Thanh Pham, Tung Kieu, Duc-Manh Nguyen, Son Ha Xuan, Nghia Duong-Trung, Danh Le-Phuoc
https://arxiv.org/abs/2508.15478

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts -- Extended Version
Small Language Models (SLMs) offer computational efficiency and accessibility, yet a systematic evaluation of their performance and environmental impact remains lacking. We introduce SLM-Bench, the first benchmark specifically designed to assess SLMs across multiple dimensions, including accuracy, computational efficiency, and sustainability metrics. SLM-Bench evaluates 15 SLMs on 9 NLP tasks using 23 datasets spanning 14 domains. The evaluation is conducted on 4 hardware configurations, provid…

Seoul-based chip designer FuriosaAI signs a deal with LG to use its AI chip RNGD, its first major contract, after rejecting Meta's $800M buyout offer in March (Yoolim Lee/Bloomberg)
https://www.bloomberg.com/news/articles/20

Jerry Jones: Parsons offer would make him highest-paid non-QB in guaranteed money https://www.nytimes.com/athletic/6568347/2025/08/21/cowboys-jerry-jones-micah-parsons-contract/

You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control
Giovanni De Toni, Erasmo Purificato, Emilia G\'omez, Bruno Lepri, Andrea Passerini, Cristian Consonni
https://arxiv.org/abs/2507.16829

You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control
Recommenders are significantly shaping online information consumption. While effective at personalizing content, these systems increasingly face criticism for propagating irrelevant, unwanted, and even harmful recommendations. Such content degrades user satisfaction and contributes to significant societal issues, including misinformation, radicalization, and erosion of user trust. Although platforms offer mechanisms to mitigate exposure to undesired content, these mechanisms are often insuffici…

Dallas Cowboys' Linebackers Offer Rare Bright Spot in 2025 https://insidethestar.com/dallas-cowboys-linebackers-offer-rare-bright-spot-in-2025

Perplexity's unsolicited $34.5B bid for Chrome with claimed VC backing is clearly a marketing stunt and strategic signaling amid Google's antitrust uncertainty (M.G. Siegler/Spyglass)
https://spyglass.org/i-offer-to-buy-jupiter/

Perplexity's Perplexing and Positively PR Offer to Buy Chrome
Why not offer a quadrillion dollars?

Jerry Jones: Parsons offer would make him highest-paid non-QB in guaranteed money https://www.nytimes.com/athletic/6568347/2025/08/21/cowboys-jerry-jones-micah-parsons-contract/

Circle announces it will offer 10M shares to the public, of which 8M will be sold by existing stockholders; CRCL drops 6% after hours (Christina Cheddar Berk/CNBC)
https://www.cnbc.com/2025/08/12/circle-shares-fall-after-s…

Circle shares fall after stablecoin issuer says it will offer 10 million shares
Circle Internet Group shares fell after the company said it would offer 10 million Class A common shares.

Coinbase says it has secured a MiCA license from Luxembourg to offer crypto services across the EU, and will shift its European base from Ireland to Luxembourg (Ryan Browne/CNBC)
https://www.cnbc.com/2025/06/20/coinbase-eu-license.html

Coinbase secures EU crypto license, swaps Ireland for Luxembourg as main hub
"Luxembourg is leading the way with its pro-business climate and thoughtful approach to regulation," Coinbase Brian Armstrong tells CNBC.