Tootfinder

Venice Film Festival Hacked, Attendee Data Compromised
https://www.hollywoodreporter.com/movies/movie-news/venice-film-festival-hacked-data-compromised-1236338374/

Venice Film Festival Hacked, Attendee Data Compromised
The festival confirmed that a data breach exposed names, contact details, and tax data of accredited participants for this year's festival.

Sources: data center startup Crusoe is arranging an employee share sale involving ~$120M worth of shares that values it at ~$13B, up from $10B just weeks ago (The Information)
https://www.theinformation.com/articles/openais-data-cen…

OpenAI’s Data Center Partner Nears $120 Million Stock Sale For Its Employees
Crusoe, a startup developing a large data center in Texas for Oracle and OpenAI, is arranging an employee share sale that values the seven-year-old firm at around $13 billion, according to two people with knowledge of the transaction. The deal involves selling around $120 million worth of ...

Complex Domain Approach for Reversible Data Hiding and Homomorphic Encryption: General Framework and Application to Dispersed Data
David Megias
https://arxiv.org/abs/2510.03770 …

Complex Domain Approach for Reversible Data Hiding and Homomorphic Encryption: General Framework and Application to Dispersed Data
Ensuring the trustworthiness of data from distributed and resource-constrained environments, such as Wireless Sensor Networks or IoT devices, is critical. Existing Reversible Data Hiding (RDH) methods for scalar data suffer from low embedding capacity and poor intrinsic mixing between host data and watermark. This paper introduces Hiding in the Imaginary Domain with Data Encryption (H[i]dden), a novel framework based on complex number arithmetic for simultaneous information embedding and encryp…

Anthropic uses questionable dark patterns to obtain users’ consent to the use of AI data in Claude: https://the-decoder.com/anthropic-uses-a-questionable-dark-pattern-to-obtain-user-consent-for-ai-data-use-in-claude/

Anthropic uses a questionable dark pattern to obtain user consent for AI data use in Claude
Anthropic’s new data policy raises legal concerns with its use of questionable dark patterns.

Google and Cisco, have disclosed separate data breaches stemming from voice phishing (vishing) attacks that compromised customer information stored in cloud-based CRM systems.
https://www.computing.co.uk/news/2025/security/google-and-ci…

Google and Cisco confirm data breaches linked to vishing attacks
Google and Cisco, have disclosed separate data breaches stemming from voice phishing (vishing) attacks that compromised customer information stored in cloud-based CRM systems.

There may finally come a first peer-reviewed publication about Neuralink with human data, but for now still no details https://www.businesstimes.com.sg/startups-tech/startups/musks-neuralink-submits-brain-implant-patient-data-journ…

Musk’s Neuralink submits brain implant patient data to journal
The company aims to implant its chips in 20,000 people per year by 2031, and generate at least US$1 billion in annual revenue

A Type System for Data Privacy Compliance in Active Object Languages
Chinmayi Prabhu Baramashetru (University of Oslo, Norway), Paola Giannini (Universita' del Piemonte Orientale, Italy), Silvia Lizeth Tapia Tarifa (University of Oslo, Norway), Olaf Owe (University of Oslo, Norway)
https://arxiv.org/abs/2508.03831

A Type System for Data Privacy Compliance in Active Object Languages
Data protection laws such as GDPR aim to give users unprecedented control over their personal data. Compliance with these regulations requires systematically considering information flow and interactions among entities handling sensitive data. Privacy-by-design principles advocate embedding data protection into system architectures as a default. However, translating these abstract principles into concrete, explicit methods remains a significant challenge. This paper addresses this gap by propos…

Researchers show how a weakness in OpenAI's Connectors let sensitive data be extracted from a Google Drive account using an indirect prompt injection attack (Matt Burgess/Wired)
https://www.wired.com/story/poisoned-document-could-leak-secret-data-chatgpt/

A Single Poisoned Document Could Leak ‘Secret’ Data Via ChatGPT
Security researchers found a weakness in OpenAI’s Connectors, which let you hook up ChatGPT to other services, that allowed them to extract data from a Google Drive without any user interaction.

CoDA: Agentic Systems for Collaborative Data Visualization
Zichen Chen, Jiefeng Chen, Sercan \"O. Arik, Misha Sra, Tomas Pfister, Jinsung Yoon
https://arxiv.org/abs/2510.03194

CoDA: Agentic Systems for Collaborative Data Visualization
Deep research has revolutionized data analysis, yet data scientists still devote substantial time to manually crafting visualizations, highlighting the need for robust automation from natural language queries. However, current systems struggle with complex datasets containing multiple files and iterative refinement. Existing approaches, including simple single- or multi-agent systems, often oversimplify the task, focusing on initial query parsing while failing to robustly manage data complexity…

Just noticed that the 30 themes for the 2025 #30DayMapChallenge are now up!
#GISchat

What Do We Mean When We Talk About Data Storytelling?
Leni Yang, Zezhong Wang, Xingyu Lan
https://arxiv.org/abs/2510.04761 https://arxiv.org/pdf/2510.04761…

What Do We Mean When We Talk About Data Storytelling?
We have witnessed rapid growth in data storytelling research. Scholars from multiple disciplines have contributed new theories and techniques surrounding data storytelling. However, with this prolific development, a fuzzy boundary of data storytelling comes. We argue that understanding how "data storytelling" has been defined and interpreted by academia is crucial for facilitating communication between researchers, encouraging the consistent use of concepts and measures, assisting newcomers in …

🎼 Unser NFDI4Culture-Kollege @…, Martin Albrecht-Hohmaier präsentiert hier auf der #gfm25 die Open Educational Resource des Teams der Cultural Research Data Academy, die kürzlich auf unserem Culture Information Portal erschienen ist:

https://www.bleepingcomputer.com/news/security/sandworm-hackers-use-data-wipers-to-disrupt-ukraines-grain-sector/
Sandworm hackers use data wipers to disrupt Ukraine's grain sector

Sandworm hackers use data wipers to disrupt Ukraine's grain sector
Russian state-backed hacker group Sandworm has deployed multiple data-wiping malware families in attacks targeting Ukraine's education, government, and the grain sector, the country's main revenue source.

Finding Diamonds in Conversation Haystacks: A Benchmark for Conversational Data Retrieval
Yohan Lee, Yongwoo Song, Sangyeop Kim
https://arxiv.org/abs/2510.02938 https://

Finding Diamonds in Conversation Haystacks: A Benchmark for Conversational Data Retrieval
We present the Conversational Data Retrieval (CDR) benchmark, the first comprehensive test set for evaluating systems that retrieve conversation data for product insights. With 1.6k queries across five analytical tasks and 9.1k conversations, our benchmark provides a reliable standard for measuring conversational data retrieval performance. Our evaluation of 16 popular embedding models shows that even the best models reach only around NDCG@10 of 0.51, revealing a substantial gap between documen…

from my link log —
Disassembling vs decompressing terabytes of random data with Zig and Capstone: what are the failure rates?
https://jstrieb.github.io/posts/random-instructions/
saved 2025-11-06

Constraint-Preserving Data Generation for Visuomotor Policy Learning
Kevin Lin, Varun Ragunath, Andrew McAlinden, Aaditya Prasad, Jimmy Wu, Yuke Zhu, Jeannette Bohg
https://arxiv.org/abs/2508.03944

Constraint-Preserving Data Generation for Visuomotor Policy Learning
Large-scale demonstration data has powered key breakthroughs in robot manipulation, but collecting that data remains costly and time-consuming. We present Constraint-Preserving Data Generation (CP-Gen), a method that uses a single expert trajectory to generate robot demonstrations containing novel object geometries and poses. These generated demonstrations are used to train closed-loop visuomotor policies that transfer zero-shot to the real world and generalize across variations in object geome…

PowerPlots: An Open Source Power Grid Visualization and Data Analysis Framework for Academic Research
Noah Rhodes
https://arxiv.org/abs/2510.05063 https://…

PowerPlots: An Open Source Power Grid Visualization and Data Analysis Framework for Academic Research
Data visualization is important for developing an understanding of a complex system. PowerPlots.jl is a data visualization tool for power grids, one of the most complex systems in the world. The design of PowerPlots.jl is intended to facilitate exploration of power grid data while performing research and to facilitate communication of research findings to an audience. Several tools created to support this software also facilitate analysis of power grid data by transforming the data into graph t…

Technical specification of a framework for the collection of clinical images and data
Alistair Mackenzie (Royal Surrey NHS Foundation Trust, Guildford, UK), Mark Halling-Brown (Royal Surrey NHS Foundation Trust, Guildford, UK), Ruben van Engen (Dutch Expert Centre for Screening), Carlijn Roozemond (Dutch Expert Centre for Screening), Lucy Warren (Royal Surrey NHS Foundation Trust, Guildford, UK), Dominic Ward (Royal Surrey NHS Foundation Trust, Guildford, UK), Nadia Smith (Royal Surrey…

Technical specification of a framework for the collection of clinical images and data
In this report a framework for the collection of clinical images and data for use when training and validating artificial intelligence (AI) tools is described. The report contains not only information about the collection of the images and clinical data, but the ethics and information governance processes to consider ensuring the data is collected safely, and the infrastructure and agreements required to allow for the sharing of data with other groups. A key characteristic of the main collect…

The QIC-Index: A Novel, Data-Centric Metric for Quantifying the Impact of Research Data Sharing
Martin G. Frasch
https://arxiv.org/abs/2510.03307 https://a…

The QIC-Index: A Novel, Data-Centric Metric for Quantifying the Impact of Research Data Sharing
We introduce the QIC-Index, a novel metric to address the failure of publication-centric metrics to value research data sharing. The QIC-Index quantifies the impact of individual data objects by calculating a score based on their Quality (Q), Impact (I), and Collaboration (C). By rewarding the sharing of high-quality, impactful, and collaborative data, our framework aligns individual incentives with the goals of open science and aims to foster a more transparent and efficient research culture.

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 23 nodes and 3197 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

Advocates raise alarm over Pfas pollution from datacenters amid AI boom #environment

Proud of my city (Tucson) to reject a ridiculous Amazon data center development.
The desert is the last place you want to build data centers.

EU Parliament committee votes to advance controversial Europol data sharing proposal https://therecord.media/eu-parliament-committee-votes-europol-data-sharing-agreement

The European Union general data protection regulation: what it is and what it means
Chris Jay Hoofnagle, Bart van der Sloot, Frederik Zuiderveen Borgesius
https://arxiv.org/abs/2510.02861

The European Union general data protection regulation: what it is and what it means
This paper introduces the strategic approach to regulating personal data and the normative foundations of the European Union's General Data Protection Regulation ('GDPR'). We explain the genesis of the GDPR, which is best understood as an extension and refinement of existing requirements imposed by the 1995 Data Protection Directive; describe the GDPR's approach and provisions; and make predictions about the GDPR's implications. We also highlight where the GDPR takes a different approach than U…

{nplyr} has helper functions to work on nested dataframes: #rstats #datascience

A Grammar of Nested Data Manipulation
Provides functions for manipulating nested data frames in a list-column using dplyr syntax. Rather than unnesting, then manipulating a data frame, nplyr allows users to manipulate each nested data frame directly. nplyr is a wrapper for dplyr functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.

The Trump Administration Wants Your Voter Registration Data. Why? (Matt Cohen/Democracy Docket)
https://www.democracydocket.com/analysis/the-trump-administration-wants-your-voter-registration-data-why/
http://www.memeorandum.com/250906/p45#a250906p45

Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sources
Sara Mobsite, Renaud Hostache, Laure Berti Equille, Emmanuel Roux, Joris Guerin
https://arxiv.org/abs/2510.03006

Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sources
Supervised deep learning for land cover semantic segmentation (LCS) relies on labeled satellite data. However, most existing Sentinel-2 datasets are cloud-free, which limits their usefulness in tropical regions where clouds are common. To properly evaluate the extent of this problem, we developed a cloud injection algorithm that simulates realistic cloud cover, allowing us to test how Sentinel-1 radar data can fill in the gaps caused by cloud-obstructed optical imagery. We also tackle the issue…

On 16WW Mains Inlet Water Temperature - Domestic mains water temperature data for 16WW on tap; seasonal min/max about 10C/20C in winter/summer. #dataset #water #temperature -

On 16WW Mains Inlet Water Temperature
Domestic mains water temperature data for 16WW on tap; seasonal min/max about 10C/20C in winter/summer. #dataset #water #temperature

Partially paywalled but still lots of juicy data. “State of the software engineering job market in 2025”: https://newsletter.pragmaticengineer.com/p/state-of-the-tech-market-in-2025
From which:

State of the software engineering job market in 2025
A deepdive into today’s tech jobs market, with exclusive data on tech jobs, AI engineering, Big Tech recruitment, the growing importance of location, and more

Edge-assisted Parallel Uncertain Skyline Processing for Low-latency IoE Analysis
Chuan-Chi Lai, Yan-Lin Chen, Bo-Xin Liu, Chuan-Ming Liu
https://arxiv.org/abs/2508.04596 https:/…

Edge-assisted Parallel Uncertain Skyline Processing for Low-latency IoE Analysis
Due to the Internet of Everything (IoE), data generated in our life become larger. As a result, we need more effort to analyze the data and extract valuable information. In the cloud computing environment, all data analysis is done in the cloud, and the client only needs less computing power to handle some simple tasks. However, with the rapid increase in data volume, sending all data to the cloud via the Internet has become more expensive. The required cloud computing resources have also becom…

What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data
J. E. M. Scanlon, A. Pelzer, M. Gharleghi, K. C. Fuhrmeister, T. K\"ollmer, P. Aichroth, R. G\"oder, C. Hansen, K. I. Wolf
https://arxiv.org/abs/2510.04984

What your brain activity says about you: A review of neuropsychiatric disorders identified in resting-state and sleep EEG data
Electroencephalogram monitoring devices and online data repositories hold large amounts of data from individuals participating in research and medical studies without direct reference to personal identifiers. This paper explores what types of personal and health information have been detected and classified within task-free EEG data. Additionally, we investigate key characteristics of the collected resting-state and sleep data, in order to determine the privacy risks involved with openly availa…

Just voted for the first time as an overseas voter. Kudos to Colorado for making it super simple and possibly easier than the already-easy mail-in voting!

#uspol #vote #colorado

This is particularly bad in #Italy, where #WhatsApp is the default means of communication. In other countries I've lived in at least they consider alternatives. In Italy people don't even ask you if you have an account before adding you in school parent groups or contacting you for work over WhatsApp.

Why people don’t demand data privacy – even as governments and corporations collect more personal information
How people talk about data privacy can overcome – or reinforce – their skepticism that things can change.

„Tech companies’ use of Pfas gas at facilities may mean datacenters’ climate impact is worse than previously thought“ (via @… )
https://www.

Combining the second data release of the European Pulsar Timing Array with low-frequency pulsar data
F. Iraci, A. Chalumeau, C. Tiburzi, J. P. W. Verbiest, A. Possenti, S. C. Susarla, M. A. Krishnakumar, G. M. Shaifullah, J. Antoniadis, M. Bagchi, C. Bassa, R. N. Caballero, B. Cecconi, S. Chen, S. Chowdhury, B. Ciardi, I. Cognard, S. Corbel, S. Desai, D. Deb, J. Girard, A. Golden, J-M. Grie{\ss}meier, L. Guillemot, M. Hoeft, H. Hu, F. Jankowski, G. Janssen, B. C. Joshi, S. Kala, E. Kea…

Combining the second data release of the European Pulsar Timing Array with low-frequency pulsar data
Low-frequency radio data improve the sensitivity of pulsar timing arrays (PTAs) to propagation effects such as dispersion measure (DM) variations, enabling better noise characterization essential for detecting the stochastic gravitational wave background (GWB). We combined LOFAR (100-200 MHz) and NenuFAR (30-90 MHz) observations with the recent European and Indian PTA release (DR2new+) into a new dataset, DR2low, spanning ~11 years for 12 pulsars. DR2low allows updated noise models, increasing …

Orthogonal Procrustes problem preserves correlations in synthetic data
Oussama Ounissi, Nicklas J\"averg\r{a}rd, Adrian Muntean
https://arxiv.org/abs/2510.02405 https://

Orthogonal Procrustes problem preserves correlations in synthetic data
This work introduces the application of the Orthogonal Procrustes problem to the generation of synthetic data. The proposed methodology ensures that the resulting synthetic data preserves important statistical relationships among features, specifically the Pearson correlation. An empirical illustration using a large, real-world, tabular dataset of energy consumption demonstrates the effectiveness of the approach and highlights its potential for application in practical synthetic data generation…

This is amaxing: THe @… have produced a beatuful set of easy to access tools for using with their satellite data products.
Some great quick start notebooks and tonnes and tonnes of lovely #EarthSytsem climate data.
(Our PISCO project will also be steadily adding stuff to this as well over the next year and a half)
https://climate.esa.int/en/data/toolbox/

Your data, their rules
https://blog.42futures.com/p/your-data-their-rules

Larry Ellison Is a ‘Shadow President’ in Donald Trump’s America
The Ellison family is cornering the market on attention and data the same way the Vanderbilts did railroads and the Rockefellers did oil.
👉 https://www.wired.com/story/larry-ellison-

Larry Ellison Is a ‘Shadow President’ in Donald Trump’s America
The Ellison family is cornering the market on attention and data the same way the Vanderbilts did railroads and the Rockefellers did oil.

KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, Gamze Gursoy
https://arxiv.org/abs/2510.05049

KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
Machine learning in healthcare requires effective representation of structured medical codes, but current methods face a trade off: knowledge graph based approaches capture formal relationships but miss real world patterns, while data driven methods learn empirical associations but often overlook structured knowledge in medical terminologies. We present KEEP (Knowledge preserving and Empirically refined Embedding Process), an efficient framework that bridges this gap by combining knowledge grap…

Flock Surveillance
refers to the camera and data systems developed by Flock Safety,
-- a private technology company that provides automated license plate recognition  and
vehicle-tracking networks to
police departments, homeowners’ associations, and private businesses across the U.S.
🔥This system enables mass tracking of drivers and data sharing across police and private networks
without sufficient oversight,
raising serious concerns about privacy, …

What is FLOCK surveillance w/ EFF's Sarah Hamid; Oakland Police Commission w/ Ricardo Garcia Acosta and Omar Farmer | KPFA
Flock Surveillance refers to the camera and data systems developed by Flock Safety, a private technology company that provides automated license plate recognition  and vehicle-tracking networks to police departments, homeowners’ associations, and private businesses across the U.S. This system enables mass tracking of drivers and data sharing across police and private networks without sufficient oversight, … Continued

So AI Datacenters are going to space...
https://research.google/blog/exploring

Exploring a space-based, scalable AI infrastructure system design

«Lessons in humility & simplicity for 'data science': Garmin's health status»
I blogged about how another #wearable manufacturer went down the road of leaving up data interpretation to humans instead of automating it – and how that relates to "AI" or "automated decision making"
(Responses to this toot become blog comments too)
#quantifiedself #personalscience

RIVM update rioolwaarden en percentage positief Sars-Cov-2.
Na de stijging vorige week, deze week juist weer een daling.
Er zitten 7 nieuwe dagen in de data, van 27/10-2/11 met resp. 95%-1% van de meetstations. Vooral de laatste drie dagen stellen nog weinig voor qua data.
Het gewogen gemiddelde is wel gezakt van rond de 765 naar rond de 665.
#qp2t

"Trump Says America’s Oil Industry Is Cleaner Than Other Countries’. New Data Shows Massive Emissions From Texas Wells"
#US #USA #America

Texas Says It’s Strict on Oil Field Emissions. New Data Shows It’s Not.
The oil industry touts Texas as a success story in controlling climate-warming methane emissions. The state’s regulator, however, grants nearly every request to burn or vent gas into the atmosphere.

https://www.abc.net.au/news/2025-10-06/data-breach-northern-rivers-resilient-homes-program-chatgpt/105855284
NSW flood victims' personal details loaded to ChatGPT in major data breach

NSW flood victims' personal details loaded to ChatGPT in major data breach
The NSW Reconstruction Authority says the breach occurred in March and involved the personal data of applicants to the Northern Rivers Resilient Homes Program.

"What works in #India will scale better everywhere else. Naturally, the country is a battleground for #AI search."
This is fishing for data and the next #enshittification to roll ou…

Description of CRESST-III lithium aluminate data
G. Angloher (CRESST Collaboration), S. Banik (CRESST Collaboration), G. Benato (CRESST Collaboration), A. Bento (CRESST Collaboration), A. Bertolini (CRESST Collaboration), R. Breier (CRESST Collaboration), C. Bucci (CRESST Collaboration), J. Burkhart (CRESST Collaboration), L. Canonica (CRESST Collaboration), A. D'Addabbo (CRESST Collaboration), S. Di Lorenzo (CRESST Collaboration), L. Einfalt (CRESST Collaboration), A. Erb (CRESST …

Description of CRESST-III lithium aluminate data
Two detector modules with lithium aluminate targets were operated in the CRESST underground setup between February and June 2021. The data collected in this period was used to set the currently strongest cross-section upper limits on the spin-dependent interaction of dark matter (DM) with protons and neutrons for the mass region between 0.25 and 1.5 GeV/c$^2$. The data are available online. In this document, we describe how the data set should be used to reproduce our dark matter results.

Kernel ridge regression under power-law data: spectrum and generalization
Arie Wortsman, Bruno Loureiro
https://arxiv.org/abs/2510.04780 https://arxiv.org/…

Kernel ridge regression under power-law data: spectrum and generalization
In this work, we investigate high-dimensional kernel ridge regression (KRR) on i.i.d. Gaussian data with anisotropic power-law covariance. This setting differs fundamentally from the classical source & capacity conditions for KRR, where power-law assumptions are typically imposed on the kernel eigen-spectrum itself. Our contributions are twofold. First, we derive an explicit characterization of the kernel spectrum for polynomial inner-product kernels, giving a precise description of how the ker…

I'm putting together notes for novices to do simple data analysis with R and the fact that I'm telling them to "cut and paste this inscrutable block of code at the start of your file" reminds me of nothing so much as when I worked for the ESRI in Dublin in the mid 1980s and we used to run SPSS analyses remotely on UCD's Amdahl by sandwiching our SPSS code (on punch cards) between two decks of IBM Job Control Language cards of which we understood nothing whatsoever.

DualBird, which has created a plug-in for rewritable hardware to accelerate data workloads, raised $25M, including a $16.5M Series A led by Lightspeed (Chris Metinko/Axios)
https://www.axios.com/pro/enterprise-software-deals/2…

Exclusive: Data infrastructure startup DualBird raises $25M
Lightspeed Venture Partners led the Series A portion of the financing.

Detecting Distillation Data from Reasoning Models
Hengxiang Zhang, Hyeong Kyu Choi, Yixuan Li, Hongxin Wei
https://arxiv.org/abs/2510.04850 https://arxiv.o…

Detecting Distillation Data from Reasoning Models
Reasoning distillation has emerged as an efficient and powerful paradigm for enhancing the reasoning capabilities of large language models. However, reasoning distillation may inadvertently cause benchmark contamination, where evaluation data included in distillation datasets can inflate performance metrics of distilled models. In this work, we formally define the task of distillation data detection, which is uniquely challenging due to the partial availability of distillation data. Then, we pr…

Vector Autoregression (VAR) of Longitudinal Sleep and Self-report Mood Data
Jeff Brozena
https://arxiv.org/abs/2510.02511 https://arxiv.org/pdf/2510.02511

Vector Autoregression (VAR) of Longitudinal Sleep and Self-report Mood Data
Self-tracking is one of many behaviors involved in the long-term self-management of chronic illnesses. As consumer-grade wearable sensors have made the collection of health-related behaviors commonplace, the quality, volume, and availability of such data has dramatically improved. This exploratory longitudinal N-of-1 study quantitatively assesses four years of sleep data captured via the Oura Ring, a consumer-grade sleep tracking device, along with self-reported mood data logged using eMood Tra…

A look at OpenAI's search for the sites of its Stargate data centers in the US; OpenAI has received 800 applications since January and has 20 finalist sites (MacKenzie Sigalos/CNBC)
https://www.cnbc.com/2025/10/05/openai-stargate…

This Meta alum has spent 10 months leading OpenAI's nationwide hunt for its Stargate data centers
OpenAI's effort to build a massive industrial base to power the future of artificial intelligence is being led by Keith Heyde.

Velocity-Form Data-Enabled Predictive Control of Soft Robots under Unknown External Payloads
Huanqing Wang, Kaixiang Zhang, Kyungjoon Lee, Yu Mei, Vaibhav Srivastava, Jun Sheng, Ziyou Song, Zhaojian Li
https://arxiv.org/abs/2510.04509

Velocity-Form Data-Enabled Predictive Control of Soft Robots under Unknown External Payloads
Data-driven control methods such as data-enabled predictive control (DeePC) have shown strong potential in efficient control of soft robots without explicit parametric models. However, in object manipulation tasks, unknown external payloads and disturbances can significantly alter the system dynamics and behavior, leading to offset error and degraded control performance. In this paper, we present a novel velocity-form DeePC framework that achieves robust and optimal control of soft robots under…

Protecting Persona Biometric Data: The Case of Facial Privacy
Lambert Hogenhout, Rinzin Wangmo
https://arxiv.org/abs/2510.03035 https://arxiv.org/pdf/2510.…

Protecting Persona Biometric Data: The Case of Facial Privacy
The proliferation of digital technologies has led to unprecedented data collection, with facial data emerging as a particularly sensitive commodity. Companies are increasingly leveraging advanced facial recognition technologies, often without the explicit consent or awareness of individuals, to build sophisticated surveillance capabilities. This practice, fueled by weak and fragmented laws in many jurisdictions, has created a regulatory vacuum that allows for the commercialization of personal i…

twitter_higgs: Twitter, Higgs boson (2012)
Data on tweets related to the announcement of the discovery of a new fundamental particle with the features of the Higgs boson on 4th July 2012. Data covers 1-7 July 2012, and includes four types of networks: followers, retweets, replies, and mentions.
This network has 456626 nodes and 14855842 edges.
Tags: Social, Online, Weighted, Multilayer

Ed tech company fined $5.1 million for poor data security practices leading to hack https://therecord.media/ed-tech-company-fined-5-million-data-breach-security-practices

Say goodbye to the frustrations of copying and pasting data to and from R with Datapasta from @…! Get the package now: https://milesmcbain.github.io/datapasta/…

Robust estimation of causal dose-response relationship using exposure data with dose as an instrumental variable
Jixian Wang, Zhiwei Zhang, Ram Tiwari
https://arxiv.org/abs/2508.04215

Robust estimation of causal dose-response relationship using exposure data with dose as an instrumental variable
An accurate estimation of the dose-response relationship is important to determine the optimal dose. For this purpose, a dose finding trial in which subjects are randomized to a few fixed dose levels is the most commonly used design. Often, the estimation uses response data only, although drug exposure data are often obtained during the trial. The use of exposure data to improve this estimation is difficult, as exposure-response relationships are typically subject to confounding bias even in a …

https://www.koreatimes.co.kr/business/companies/20251106/kt-accused-of-concealing-major-malware-infection-faces-probe-over-customer-data-breach
Mobile carrier KT is facing mounting scr…

South Korea's mobile carrier KT accused of concealing major malware infection, faces probe over customer data breach
Mobile carrier KT is facing mounting scrutiny after a government investigation found the company concealed a major malware infection last year. Acc...

On 16WW Data Collections and Graphs - Open for research #dataset - https://www.earth.org.uk/note-on-data.html

On 16WW Data Collections and Graphs
Open for research #dataset

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Adhitya Bhawiyuga, Serkan Girgin, Rolf A. de By, Raul Zurita-Milla
https://arxiv.org/abs/2510.02882

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Earth observation (EO) data volumes are rapidly increasing. While cloud computing are now used for processing large EO datasets, the energy efficiency aspects of such a processing have received much less attention. This issue is notable given the increasing awareness of energy costs and carbon footprint in big data processing, particularly with increased attention on compute-intensive foundation models. In this paper we identify gaps in energy efficiency practices within cloud-based EO big data…

The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback
Hangfan Zhang, Siyuan Xu, Zhimeng Guo, Huaisheng Zhu, Shicheng Liu, Xinrun Wang, Qiaosheng Zhang, Yang Chen, Peng Ye, Lei Bai, Shuyue Hu
https://arxiv.org/abs/2510.02752

The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback
Reinforcement learning (RL) has demonstrated potential in enhancing the reasoning capabilities of large language models (LLMs), but such training typically demands substantial efforts in creating and annotating data. In this work, we explore improving LLMs through RL with minimal data. Our approach alternates between the LLM proposing a task and then attempting to solve it. To minimize data dependency, we introduce two novel mechanisms grounded in self-awareness: (1) self-aware difficulty predi…

RFKJr and one of his ACIP picks, Robert Malone,
appear to be getting ready to restrict the Respiratory Syncytial Virus (RSV) immunizations
(nirsevimab and clesrovimab)
saying there is a vast cover up of vaccine safety data.
"You talk a lot about how unsafe it is to vaccinate children.
Do you know how unsafe it is to not vaccinate them?"

Recall.ai, which offers an API and a desktop SDK for managing meeting recordings and transcripts, raised $38M in a Series B led by Bessemer at a $250M valuation (Paul Gillin/SiliconANGLE)
https://siliconangle.com/2025/09/05/recall-ai-lands-38m-unlock-spoken-…

Recall.ai lands $38M to unlock spoken data at scale - SiliconANGLE
Recall.ai lands $38M to unlock spoken data at scale - SiliconANGLE

@… by the way, does it sometimes happen that the Geofabrik data downloads lag a few days behind the actual state of the OSM despite the timestamps seeming current? Or does the picture gen pipeline somehow not clear out stale data sometimes? 🙂

ResCP: Reservoir Conformal Prediction for Time Series Forecasting
Roberto Neglia, Andrea Cini, Michael M. Bronstein, Filippo Maria Bianchi
https://arxiv.org/abs/2510.05060 https…

ResCP: Reservoir Conformal Prediction for Time Series Forecasting
Conformal prediction offers a powerful framework for building distribution-free prediction intervals for exchangeable data. Existing methods that extend conformal prediction to sequential data rely on fitting a relatively complex model to capture temporal dependencies. However, these methods can fail if the sample size is small and often require expensive retraining when the underlying data distribution changes. To overcome these limitations, we propose Reservoir Conformal Prediction (ResCP), a…

Data-driven Practical Stabilization of Nonlinear Systems via Chain Policies: Sample Complexity and Incremental Learning
Roy Siegelmann, Enrique Mallada
https://arxiv.org/abs/2510.03982

Data-driven Practical Stabilization of Nonlinear Systems via Chain Policies: Sample Complexity and Incremental Learning
We propose a method for data-driven practical stabilization of nonlinear systems with provable guarantees, based on the concept of Nonparametric Chain Policies (NCPs). The approach employs a normalized nearest-neighbor rule to assign, at each state, a finite-duration control signal derived from stored data, after which the process repeats. Unlike recent works that model the system as linear, polynomial, or polynomial fraction, we only assume the system to be locally Lipschitz. Our analysis buil…

Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
Joseph Ramsey, Bryan Andrews
https://arxiv.org/abs/2510.04276 https://

Scalable Causal Discovery from Recursive Nonlinear Data via Truncated Basis Function Scores and Tests
Learning graphical conditional independence structures from nonlinear, continuous or mixed data is a central challenge in machine learning and the sciences, and many existing methods struggle to scale to thousands of samples or hundreds of variables. We introduce two basis-expansion tools for scalable causal discovery. First, the Basis Function BIC (BF-BIC) score uses truncated additive expansions to approximate nonlinear dependencies. BF-BIC is theoretically consistent under additive models an…

Yowzer, take a break from reading all the election news by checking out today's Metacurity for the most critical infosec developments you should know, including
--EU cops bust money launderers who set up crypto fraud network,
--OFAC sanctions DPRK firms for supporting criminal activity,
--Probe reveals how easy it is to intercept EU and NATO sensitive movement data,
--KC PD hack exposes misconduct details,
--Nikkei Slack hack exposes data on 17K employees an…

EU cops bust money launderers who set up crypto fraud network
OFAC sanctions DPRK firms for supporting criminal activity, Probe reveals how easy it is to intercept EU and NATO sensitive movement data, KC PD hack exposes misconduct details, Nikkei Slack hack exposes data on 17K employees and partners, Curly COMrades abuses Microsoft Hyper-V in Windows, more

External Data Extraction Attacks against Retrieval-Augmented Large Language Models
Yu He, Yifei Chen, Yiming Li, Shuo Shao, Leyi Qi, Boheng Li, Dacheng Tao, Zhan Qin
https://arxiv.org/abs/2510.02964

External Data Extraction Attacks against Retrieval-Augmented Large Language Models
In recent years, RAG has emerged as a key paradigm for enhancing large language models (LLMs). By integrating externally retrieved information, RAG alleviates issues like outdated knowledge and, crucially, insufficient domain expertise. While effective, RAG introduces new risks of external data extraction attacks (EDEAs), where sensitive or copyrighted data in its knowledge base may be extracted verbatim. These risks are particularly acute when RAG is used to customize specialized LLM applicati…

DRIVE-T: A Methodology for Discriminative and Representative Data Viz Item Selection for Literacy Construct and Assessment
Angela Locoro, Silvia Golia, Davide Falessi
https://arxiv.org/abs/2508.04160

DRIVE-T: A Methodology for Discriminative and Representative Data Viz Item Selection for Literacy Construct and Assessment
The underspecification of progressive levels of difficulty in measurement constructs design and assessment tests for data visualization literacy may hinder the expressivity of measurements in both test design and test reuse. To mitigate this problem, this paper proposes DRIVE-T (Discriminating and Representative Items for Validating Expressive Tests), a methodology designed to drive the construction and evaluation of assessment items. Given a data vizualization, DRIVE-T supports the identificat…

Discord says sensitive info stolen during cyberattack on customer service provider https://therecord.media/discord-data-breach-third-party

Automatically describe data and models as text using the {report} package. #rstats

WOW: WAIC-Optimized Gating of Mixture Priors for External Data Borrowing
Shouhao Zhou, Qiuxin Gao, Chenqi Fu, Yanxun Xu
https://arxiv.org/abs/2510.05085 https://

WOW: WAIC-Optimized Gating of Mixture Priors for External Data Borrowing
The integration of external data using Bayesian mixture priors has become a powerful approach in clinical trials, offering significant potential to improve trial efficiency. Despite their strengths in analytical tractability and practical flexibility, existing methods such as the robust meta-analytic-predictive (rMAP) and self-adapting mixture (SAM) often presume borrowing without rigorously assessing whether, how, or when integration is appropriate. When external and concurrent data are discor…

A profile of OpenAI President Greg Brockman and his role in the company's $1.4T infrastructure buildout that's required to reach AGI (Sharon Goldman/Fortune)
https://fortune.com/2025/11/05/openai-greg-brockman-ai-infrastructure-data-c…

Meet OpenAI’s master builder: Greg Brockman is steering a $1.4 trillion infrastructure surge with stakes that go far beyond AI
As OpenAI’s president, Brockman is focused on “completing the mission” of moving beyond AI to artificial general intelligence (AGI).

Good lord, I hope the data was sufficiently anonymized, but with only three patients, I dunno...
Musk’s Neuralink Submits Brain Implant Patient Data to Journal
https://www.bloomberg.com/news/articles/2025-10-05/musk-s-neu…

MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning
Liujian Tang, Shaokang Dong, Yijia Huang, Minqi Xiang, Hongtao Ruan, Bin Wang, Shuo Li, Zhihui Cao, Hailiang Pang, Heng Kong, He Yang, Mingxu Chai, Zhilin Gao, Xingyu Liu, Yingnan Fu, Jiaming Liu, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Qi Zhang, Kang Wang, Yunke Zhang, Yuran Wang

MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning
This paper presents MagicGUI, a foundational mobile GUI agent designed to address critical challenges in perception, grounding, and reasoning within real-world mobile GUI environments. The framework is underpinned by following six key components: (1) a comprehensive and accurate dataset, constructed via the scalable GUI Data Pipeline, which aggregates the largest and most diverse GUI-centric multimodal data to date from open-source repositories, automated crawling, and targeted manual annotatio…

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding
https://arxiv.org/abs/2510.02328

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
Medical Multimodal Large Language Models (Med-MLLMs) have shown great promise in medical visual question answering (Med-VQA). However, when deployed in low-resource settings where abundant labeled data are unavailable, existing Med-MLLMs commonly fail due to their medical reasoning capability bottlenecks: (i) the intrinsic reasoning bottleneck that ignores the details from the medical image; (ii) the extrinsic reasoning bottleneck that fails to incorporate specialized medical knowledge. To addr…

Privacy in the Age of AI: A Taxonomy of Data Risks
Grace Billiris, Asif Gill, Madhushi Bandara
https://arxiv.org/abs/2510.02357 https://arxiv.org/pdf/2510.…

Privacy in the Age of AI: A Taxonomy of Data Risks
Artificial Intelligence (AI) systems introduce unprecedented privacy challenges as they process increasingly sensitive data. Traditional privacy frameworks prove inadequate for AI technologies due to unique characteristics such as autonomous learning and black-box decision-making. This paper presents a taxonomy classifying AI privacy risks, synthesised from 45 studies identified through systematic review. We identify 19 key risks grouped under four categories: Dataset-Level, Model-Level, Infras…

https://www.scmp.com/news/asia/australasia/article/3324470/australias-qantas-airways-penalises-ceo-over-data-breach-bonus-cut
Anyone ever hear of a CEO getting their pay docked over a data breach before?

Qantas Airways penalises CEO over data breach with bonus cut
Vanessa Hudson was docked US$163,397 in pay for the incident that exposed personal data of 6 million customers.

TeachLM: Post-Training LLMs for Education Using Authentic Learning Data
Janos Perczel, Jin Chow, Dorottya Demszky
https://arxiv.org/abs/2510.05087 https://…

TeachLM: Post-Training LLMs for Education Using Authentic Learning Data
The promise of generative AI to revolutionize education is constrained by the pedagogical limits of large language models (LLMs). A major issue is the lack of access to high-quality training data that reflect the learning of actual students. Prompt engineering has emerged as a stopgap, but the ability of prompts to encode complex pedagogical strategies in rule-based natural language is inherently limited. To address this gap we introduce TeachLM - an LLM optimized for teaching through parameter…

Sources: Veeam, which offers data backup and disaster recovery tools, is in advanced talks to acquire data privacy management software maker Securiti for ~$1.8B (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-06/insigh…

Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning
Takumi Suimon, Yuki Koizumi, Junji Takemasa, Toru Hasegawa
https://arxiv.org/abs/2508.04285

Per-element Secure Aggregation against Data Reconstruction Attacks in Federated Learning
Federated learning (FL) enables collaborative model training without sharing raw data, but individual model updates may still leak sensitive information. Secure aggregation (SecAgg) mitigates this risk by allowing the server to access only the sum of client updates, thereby concealing individual contributions. However, a significant vulnerability has recently attracted increasing attention: when model updates are sparse vectors, a non-zero value contributed by a single client at a given index c…

https://www.bleepingcomputer.com/news/security/media-giant-nikkei-reports-data-breach-impacting-17-000-people/
Media giant Nikkei reports data breach impacting 17,000 people

Media giant Nikkei reports data breach impacting 17,000 people
Japanese publishing giant Nikkei announced earlier today that its Slack messaging platform had been compromised, exposing the personal information of over 17,000 employees and business partners.

Data shows WLFI's sharp drop was driven by shorting and dumping across exchanges, not Justin Sun's token movements; WLFI blames phishing-related compromises (Sam Reynolds/CoinDesk)
https://www.coindesk.com/markets/2025/09/0

WLFI News: If They Can Do it to Sun, Who's Next?' Say Insiders as WLFI Claims Freeze Was to 'Protect Users'
Onchain data shows WLFI’s sharp drop was driven by shorting and dumping across exchanges – not Justin Sun's token movements – while the project says wallet freezes targeted phishing-related compromises, not market participants.

So the city of Houston is blaming its firefighters for clicking on a link in an email the city sent to them that intended to share information about the firefighters’ promotion exam but instead linked to a bunch of social security numbers in the clear.
Houston data breach exposes firefighters’ personal info, union says they’re being blamed

Houston data breach exposes firefighters’ personal info, union says they’re being blamed
Houston firefighters say they’re being unfairly blamed after a city email exposed 7,500 Social Security numbers in a data breach.

A basket tracking stocks of 10 European data center operators and infrastructure providers surged 23% in 2025, topping the Nasdaq 100, driven by the AI boom (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-04/the-bi…

Sources and documents: Google plans to build an AI data center on Australia's remote Christmas Island after signing a cloud deal with its DOD earlier in 2025 (Kirsty Needham/Reuters)
https://www.reuters.com/world/asia-pacific

Google adds Gemini's Deep Search to Google Finance, which will also have prediction market data from Kalshi and Polymarket for event analysis, first in the US (Aamir Siddiqui/Android Authority)
https://www.androidauthority.com/google-finance…

Google Finance wants to become your smartest investing assistant with these new features
Google Finance is getting Deep Search as well as prediction markets data from Kalshi and Polymarket, alongside an international expansion.

SaaS giant Workiva discloses data breach after Salesforce attack
https://www.bleepingcomputer.com/news/security/saas-giant-workiva-discloses-data-breach-after-salesforce-attack/?mid=1#cid=3061643

SaaS giant Workiva discloses data breach after Salesforce attack
Workiva, a leading cloud-based SaaS (Software as a Service) provider, notified its customers that attackers who gained access to a third-party customer relationship management (CRM) system stole some of their data.

LinkedIn sues a company called ProAPIs for allegedly operating millions of fake accounts to scrape LinkedIn member data and selling it for ~$15,000 per month (Suzanne Smalley/The Record)
https://therecord.media/linkedin-sues-data-scraping-company

LinkedIn sues software company allegedly scraping data from millions of profiles
ProAPIs, a software company, and its CEO Rahmat Alam allegedly run an operation which LinkedIn says charges customers up to $15,000 per month for scraped user data taken from the social media platform.

At the White House dinner, Zuckerberg said Meta plans to spend "something like at least $600B" through 2028 on data centers and other infrastructure in the US (Kalley Huang/The Information)
https://www.theinformation.com/briefings/meta…

Meta Plans to Spend $600 Billion Through 2028 in the U.S., Zuckerberg Says
Meta Platforms plans to spend “something like at least $600 billion” through 2028 on data centers and other infrastructure in the U.S., Meta CEO Mark Zuckerberg said on Thursday at a dinner with President Donald Trump and other technology executives. In July, Meta estimated its capital expenditures in 2025 would be between $66 billion and $72 billion, up at least 68% from its capital

No such thing as a quiet weekend in cybersecurity, so check out today's Metacurity for the infosec developments you might have missed since Friday, including
--Scattered LAPSUS$ Hunters claims theft of 1 billion Salesforce records,
--Game engine developer Unity urges users to patch a severe flaw,
--Hackers stole some Discord user data after a third-party compromise,
--US immigration dramatically expands its spying ability,
--Asahi reverts to pen and paper to …

"Scattered LAPSUS$ Hunters" claims theft of 1 billion Salesforce records
Game engine developer Unity urges users to patch severe flaw, Hackers stole some Discord user data after a third-party compromise, US immigration dramatically expands its spying ability, Asahi reverts to pen and paper to process orders, Oz's NSW gov't reveals breach in homes program, much more

A joint Databroker Files investigation shows commercially traded mobile phone location data allows the tracking of millions of Europeans, including EU officials (netzpolitik.org)
https://netzpolitik.org/2025/databroker-files-targeting-the-eu/

Databroker Files: Targeting the EU
Precise locations and revealing movement patterns: the mobile phone location data of millions of people in the EU is up for sale. Collected supposedly only for advertising purposes, this data can also be used for espionage. European data protection is failing – even top EU officials in Brussels are affected. The EU Commission says: 'We are concerned.

Check out today's Metacurity for the most crucial cybersecurity developments you should know, including
--CISA plans to fire 54 employees despite court injunction,
--Google reports new ways threat actors can use AI in their attacks,
--KT accused of concealing BPFDoor infection,
--Meta earns $7b a year in scam ads,
--Hackers stole data from Hyundai AutoEver America,
--Chinese court sentences scam operators to death,
--NV ransomware attack took plac…

CISA plans to fire 54 employees despite court injunction
Google reports new ways threat actors can use AI in their attacks, KT accused of concealing BPFDoor infection, Meta earns $7b a year in scam ads, Hackers stole data from Hyundai AutoEver America, Chinese court sentences scam operators to death, NV ransomware attack took place in May, much more

Things are moving fast in cyber world, so don't miss today's Metacurity for the most critical developments you should know, including
--ShinyHunters is extorting Red Hat, LAPSUS$ teen in UK custody may be connected,
--Jaguar Land Rover to resume production at some sites,
--Apple faces French probe over Siri recordings,
--SEC probes AppLovin's data collection practices,
--Google's CodeMender is a security Swiss army knife,
--Prankster tells W…

ShinyHunters is extorting Red Hat, LAPSUS$ teen in UK custody may be connected
Jaguar Land Rover to resume production at some sites, Apple faces French probe over Siri recordings, SEC probes AppLovin's data collection practices, Google's CodeMender is a security Swiss army knife, Prankster tells WSU students their degrees no longer count, much more

A look at data labeling startups like Objectways, whose workers record and annotate repetitive tasks like folding towels to train AI robots for physical tasks (Nilesh Christopher/Los Angeles Times)
https://www.latimes.com/business/story/202…

Inside the race to train AI robots how to act human in the real world
Humanoid robot training is booming around the world. Tech companies are rushing to build the robots for a market projected to reach $38 billion within the next decade.

Google unveils Project Suncatcher to launch two solar-powered satellites, each with four TPUs, into low Earth orbit in 2027, as it seeks to scale AI compute (Reed Albergotti/Semafor)
https://www.semafor.com/article/11/04/2025/google-wants-…

Google wants to build solar-powered data centers — in space
The tech giant released a paper Tuesday outlining plans to launch its AI chips into low-earth orbit, allowing them to run off solar power.