Tootfinder

In 2021 I gave a talk about “openness” briefly tracing the history from the Free Software movement, #GNU, and OSS, to open formats like XML and ODF, then to the #FreeCulture and #OpenData movement like

«LLMs are copyright removal devices - copy open source (or proprietary!) data into it, and you get copyright free data on the other side that you are free to plagiarize into newly copyrighted works. While this process robs all copyright owners, it is particularly damaging to people involved in sharing communities, since many are particpating not for money but for the love of the game - what librarian Fobazi Ettarh calls “vocational awe”.»
Really good framing by @…
https://www.quippd.com/writing/2025/12/17/AIs-unpaid-debt-how-llm-scrapers-destroy-the-social-contract-of-open-source.html

Interessant om door de projecten heen te browsen die funding hebben ontvangen.
https://www.openscience.nl/en/news/45-projects-strengthen-dutch-open-science-infrastructure

LangChain, whose open-source framework connects AI apps to real-time data, raised a $125M Series B led by IVP at a $1.25B valuation (Sharon Goldman/Fortune)
https://fortune.com/2025/10/20/exclusive-early-ai-darling-lan…

Exclusive: Early AI darling LangChain is now a unicorn with a fresh $125 million in funding
With new funding led by IVP and a roster of enterprise customers, LangChain wants to power the coming wave of AI agents—and investors are betting it could be the next big infrastructure giant.

Heute vor 55 Jahren: Am 19. November 1970 kam es zum #Atomtest "Penasco". Die Operation #Emery war eine US-Serie von 24 Atomtestdetonationen zwischen 1970/71. Sie wurden auf dem Nevada Test Site (NST) unterirdisch durchgeführt und dienten der Waffenentwicklung.

Why it matters to create and maintain open-source infrastructure for security monitoring including collection of forums and malicious communication channels.
This is a strong example (Google dark web report is discontinued) of the risks of relying solely on commercial vendors. If a capability does not align with their business interests or generate sufficient revenue, it can be discontinued at any time. Open-source infrastructure helps ensure continuity, transparency, and long-term ac…

It's fascinating that we largely went from a network of personal computers processing data locally that could access an open hypertext system linking together millions of websites…
…to phones with proprietary closed apps that often largely are little more than little windows to timesharing mainframes.

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

Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real World
Ines Altemir Marinas, Anastasiia Kucherenko, Alexander Sternfeld, Andrei Kucharavy
https://arxiv.org/abs/2510.09471 …

Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real World
The performance of Large Language Models (LLMs) is determined by their training data. Despite the proliferation of open-weight LLMs, access to LLM training data has remained limited. Even for fully open LLMs, the scale of the data makes it all but inscrutable to the general scientific community, despite potentially containing critical data scraped from the internet. In this paper, we present the full-text indexing pipeline for the Apertus LLM training data. Leveraging Elasticsearch parallel i…

Heute vor 50 Jahren: Am 20. Dezember 1975 testen die #USA die Atombombe "Chiberta". Die Operation Anvil war eine Serie von 21 US-amerikanischen #Kernwaffentests, die 1975 und 1976 auf der Nevada Test Site in Nevada unterirdisch durchgeführt wurde.

Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
Komal Gupta, Aditya Shrivastava
https://arxiv.org/abs/2510.11558

Zero Data Retention in LLM-based Enterprise AI Assistants: A Comparative Study of Market Leading Agentic AI Products
Governance of data, compliance, and business privacy matters, particularly for healthcare and finance businesses. Since the recent emergence of AI enterprise AI assistants enhancing business productivity, safeguarding private data and compliance is now a priority. With the implementation of AI assistants across the enterprise, the zero data retention can be achieved by implementing zero data retention policies by Large Language Model businesses like Open AI and Anthropic and Meta. In this work,…

Wow. I didn't know the history of R, actually, it's co-creator, Emeritus Professor of Statistics, Ross Ihaka, University of Auckland, of Māori descent.

A true global public good used by millions.
'...he remains modest and bighearted. Always resisting the pressure to commercialize his brainchild.'

Ross Ihaka: The Open-Hearted Data Hero - History of Data Science
Many inventors seek fame and fortune, or at least recognition. This isn’t the case for New Zealand statistician and associate professor George Ross Ihaka. Despite being the co-creator of R, an open-source programming language used by millions and loved by the likes of Google and the Bank of America, he remains modest and bighearted. Always resisting the pressure to commercialize his brainchild.

🔍 Full transparency in every layer: Verifiable SBOMs, SLSA Build Level 3 provenance, public CVE data - no hidden or downgraded vulnerabilities
🏗️ Built on trusted foundations: #Alpine and #Debian as proven open-source bases - minimal migration effort, maximum compatibility with existing wo…

Security — A data breach at analytics giant Mixpanel leaves a lot of open questions
A cybersecurity incident at analytics provider Mixpanel announced just hours before the U.S. Thanksgiving holiday weekend could set a new standard for how not to announce a data breach.
📍 https://

A data breach at analytics giant Mixpanel leaves a lot of open questions | TechCrunch
We sent over a dozen questions to Mixpanel's CEO about the company's data breach. Here's what we want to know.

Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare
Adam Tupper, Christian Gagn\'e
https://arxiv.org/abs/2510.12741 https://a…

Personalized Federated Fine-Tuning of Vision Foundation Models for Healthcare
Foundation models open up new possibilities for the use of AI in healthcare. However, even when pre-trained on health data, they still need to be fine-tuned for specific downstream tasks. Furthermore, although foundation models reduce the amount of training data required to achieve good performance, obtaining sufficient data is still a challenge. This is due, in part, to restrictions on sharing and aggregating data from different sources to protect patients' privacy. One possible solution to th…

Nice article about the importance of connecting data, harmony without orchestration of millions of small flexible energy actions, inspired by a post of mine.
https://nemlog.substack.com/p/sustainability-will-not-be-commanded

Sustainability Will Not Be Commanded; It Will Be Coded
How smarter signals, flexible habits, and open systems could turn energy abundance into everyday opportunity

Heute vor 52 Jahren: Am 19. Dezember 1973 führten die #USA in #Nevada den #Atomtest "Elida", Teil der "Operation Arbor", durch. Bei dieser Operation wurden 1973/74 20 Atomtests unterirdi…

The thing about a life-logger, is you input sensitive data about your life, lifestyle and activities, so privacy and data-integrity are some of the most important issues.
There can be no server, the data has to be yours and yours alone. Because you can’t tell what is happening to the data in a closed-source app, it must be completely free and open source.
You can’t trust a corporate diary, they must sell to anyone offering enough money.
So it is with my life log app, all data completely in your own device. No home server ever sees anything.
There is no home server. Just the code.
To achieve this Exocortex Log is a Progressive Web App. It downloads when you are online at the website and can be installed onto the homepage of your phone.
It keeps all data on the local device using indexdb.
This means you must be responsible for your own backups. Be sure to export and back up your data regularly. I have gaps in my ten year record where my phone was stolen and most recent backup was months prior.
Once installed it will work offline, airplane mode, no internet, down in the tube station at midnight, anywhere.
There's a blog on the website saying this and more: https://exocortexlog.com/news/articles/2025-12-06-release/

"A Ministry of Defence official revealed confidential information by leaving a laptop open on a train in another Afghan data breach"
https://www.independent.co.uk/news/uk/home-news/afghan-ministry-of-defence-data-breach-ta…

MoD official left sensitive data open on laptop on train in another Afghan breach
Exclusive: Details of 49 data breaches at MoD include personal data accidentally sent to a civil service sports club with 140,000 members

🎼 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:

SASER: Stego attacks on open-source LLMs
Ming Tan, Wei Li, Hu Tao, Hailong Ma, Aodi Liu, Qian Chen, Zilong Wang
https://arxiv.org/abs/2510.10486 https://ar…

SASER: Stego attacks on open-source LLMs
Open-source large language models (LLMs) have demonstrated considerable dominance over proprietary LLMs in resolving neural processing tasks, thanks to the collaborative and sharing nature. Although full access to source codes, model parameters, and training data lays the groundwork for transparency, we argue that such a full-access manner is vulnerable to stego attacks, and their ill-effects are not fully understood. In this paper, we conduct a systematic formalization for stego attacks on ope…

#YouthMappers is 1️⃣0️⃣ years old! 🎉
This movement has done quite a lot in supporting the aims of #OpenStreetMap and encouraging the next generation of open geospatial data mappers and advocates over the past decade.
Here’s to ten more years! 👍

Heute vor 52 Jahren: Am 19. Dezember 1973 führten die #USA in #Nevada den #Atomtest "Spar", Teil der "Operation Arbor", durch. Bei dieser Operation wurden 1973/74 20 Atomtests unterirdis…

> Cambridge’s preservationists don’t just mount disks and hope for the best; they sample the raw magnetic signal itself. Specialized hardware, such as the KryoFlux and open-hardware Greaseweazle interfaces, captures the flux transitions — the tiny changes in polarity that encode data — and reconstructs the file structure later in software.

Cambridge University launches project to rescue data trapped on old floppy disks
Cambridge’s 'Future Nostalgia' project is racing to save decades of digital history from vanishing floppy disks.

"EU-US Data Transfers: Time to prepare for more trouble to come", #maxschrems…

EU-US Data Transfers: Time to prepare for more trouble to come
As instability in the US legal system becomes undeniable and the US shows open signs of hostility towards the EU, it is time to reconsider where our data is flowing

Anthropic open sources a method to score AI model political evenhandedness; Gemini 2.5 Pro got 97%, Grok 4 96%, Claude Opus 4.1 95%, GPT-5 89%, and Llama 4 66% (Ina Fried/Axios)
https://www.axios.com/2025/11/13/anthropic-bot-bias-data

Anthropic tries to measure bot bias
There's no consensus over what constitutes political bias in AI systems.

AI model builder Eric Hartford unpacks the results of the September 25, 2025 NIST report on DeepSeek ("Evaluation of DeepSeek AI Models") and reports that the lack of evidence of malicious code, backdoors or data exfiltration, should lead to questions about the report's motives, framing and implications.
"The Demonization of DeepSeek -
How NIST Turned Open Science into a Security Scare"

Chronologically Consistent Generative AI
Songrun He, Linying Lv, Asaf Manela, Jimmy Wu
https://arxiv.org/abs/2510.11677 https://arxiv.org/pdf/2510.11677

Chronologically Consistent Generative AI
We introduce a family of chronologically consistent, instruction-following large language models to eliminate lookahead bias. Each model is trained only on data available before a clearly defined knowledge-cutoff date, ensuring strict temporal separation from any post-cutoff data. The resulting framework offers (i) a simple, conversational chat interface, (ii) fully open, fixed model weights that guarantee replicability, and (iii) a conservative lower bound on forecast accuracy, isolating the s…

Heute vor 50 Jahren: Am 20. November 1975 testen die #USA die Atombombe "Inlet". Die Operation Anvil war eine Serie von 21 US-amerikanischen #Kernwaffentests, die 1975 und 1976 auf der Nevada Test Site in Nevada unterirdisch durchgeführt wurde.

FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan, Prasanna Venkatesan Ravindran, Tanvir H. Pantha, Po-Kai Hsu, Zheyu Li, Weihong Xu, Zihan Xia, Flavio Ponzina, Winston Chern, Taeyoung Song, Priyankka Ravikumar, Mengkun Tian, Lance Fernandes, Huy Tran, Hari Jayasankar, Hang Chen, Chinsung Park, Amrit Garlapati, Kijoon Kim, Jongho Woo, Suhwan Lim, Kwangsoo Kim, Wa…

FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
The rapid expansion of mass spectrometry (MS) data, now exceeding hundreds of terabytes, poses significant challenges for efficient, large-scale library search - a critical component for drug discovery. Traditional processors struggle to handle this data volume efficiently, making in-storage computing (ISP) a promising alternative. This work introduces an ISP architecture leveraging a 3D Ferroelectric NAND (FeNAND) structure, providing significantly higher density, faster speeds, and lower volt…

Data Hoarder Uses AI to Create Searchable Database of Epstein Files https://www.404media.co/data-hoarder-uses-ai-to-create-searchable-database-of-epstein-files/

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…

I do, in fact, not have time for a 15 minute call, so I've drafted a form letter that I'll try and send to every single one of these emails starting now.

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

A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake
Alberto Solera-Rico, Carlos Sanmiguel Vila, Stefano Discetti
https://arxiv.org/abs/2510.11600

A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wake
We present an efficient and realisable active flow control framework with few non-intrusive sensors. The method builds upon data-driven, reduced-order predictive models based on Long-Short-Term Memory (LSTM) networks and efficient gradient-based Model Predictive Control (MPC). The model uses only surface-mounted pressure probes to infer the wake state, and is trained entirely offline on a dataset built with open-loop actuations, thus avoiding the complexities of online learning. Sparsification …

Pleasantly Surprised!!
"Cryptocurrency mining – another sector with large electricity demands – would be banned.”
Unfortunately unsurprised:
"starting next year, the province will open up bidding for artificial intelligence and data centres that will be capped at a total of 400 megawatts of power over a two-year period. Prices will be set by regulation.”
#BCPoli #Energy #Electricity #AI #bubble
https://archive.ph/TJ6sy#selection-2589.0-2589.88

Heute vor 56 Jahren: Am 20. September 1969 testen die #USA simultan die Atombomben "Kyack-1" u. "Kyack-2". Operation Mandrel war eine Serie von 53 US-amerikanischen #Kernwaffentests, die 1969/70 hauptsächlich auf der Nevada Test Site in Nevada unterirdisch durchgeführt wurde.…

Planning ahead for 2026? Ensure Berlin Buzzwords is on your schedule for June 7th–9th.
Berlin Buzzwords is Europe’s leading conference for modern data infrastructure, search and machine learning and is focused on open source software projects.
Get your Trust Us Ticket now and save 36% off the regular price: 🔗 https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/
Learn more about Berlin Buzzwords: 🔗https://2026.berlinbuzzwords.de/

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.

"Sweden’s Stegra to supply green steel for Microsoft’s data centers"
#Sweden #Microsoft
https://www.

Sweden’s Stegra to supply green steel for Microsoft’s data centers
Microsoft agreed to use “near-zero emission” steel in a two-part deal with Stegra. The steelmaker plans to open its hydrogen-fueled plant in late 2026.

Universal Adaptive Environment Discovery
Madi Matymov, Ba-Hien Tran, Maurizio Filippone
https://arxiv.org/abs/2510.12547 https://arxiv.org/pdf/2510.12547…

Universal Adaptive Environment Discovery
An open problem in Machine Learning is how to avoid models to exploit spurious correlations in the data; a famous example is the background-label shortcut in the Waterbirds dataset. A common remedy is to train a model across multiple environments; in the Waterbirds dataset, this corresponds to training by randomizing the background. However, selecting the right environments is a challenging problem, given that these are rarely known a priori. We propose Universal Adaptive Environment Discovery …

KORMo: Korean Open Reasoning Model for Everyone
Minjun Kim, Hyeonseok Lim, Hangyeol Yoo, Inho Won, Seungwoo Song, Minkyung Cho, Junhun Yuk, Changsu Choi, Dongjae Shin, Huige Lee, Hoyun Song, Alice Oh, Kyungtae Lim
https://arxiv.org/abs/2510.09426

KORMo: Korean Open Reasoning Model for Everyone
This work presents the first large-scale investigation into constructing a fully open bilingual large language model (LLM) for a non-English language, specifically Korean, trained predominantly on synthetic data. We introduce KORMo-10B, a 10.8B-parameter model trained from scratch on a Korean-English corpus in which 68.74% of the Korean portion is synthetic. Through systematic experimentation, we demonstrate that synthetic data, when carefully curated with balanced linguistic coverage and diver…

Nothing like marketing a product 'free' from the OPM #breach years ago. That kind of breach is going to haunt me for a lifetime, but the same people who lost my data decided 10 years of open-sourced commercialized OSINT should cover it 🥴 It took multiple FOIA requests before they even sent me a 70% redacted version of the data they lost 🤦‍♂️
I feel bad for the folks who don't…

Most probable prediction about OpenAI future I’ve read.
Spoiler: it will be successful and we will not like it.
https://open.substack.com/pub/defragzone/p/welcome-to-cognitive-capitalism

Welcome to Cognitive Capitalism
Or: How Open AI Learned to Stop Worrying and Love Your Data

Building an Open AIBOM Standard in the Wild
Gopi Krishnan Rajbahadur, Keheliya Gallaba, Elyas Rashno, Arthit Suriyawongkul, Karen Bennet, Kate Stewart, Ahmed E. Hassan
https://arxiv.org/abs/2510.07070 …

Building an Open AIBOM Standard in the Wild
Modern software engineering increasingly relies on open, community-driven standards, yet how such standards are created in fast-evolving domains like AI-powered systems remains underexplored. This paper presents a detailed experience report on the development of the AI Bill of Materials AIBOM specification, an extension of the ISO/IEC 5962:2021 Software Package Data Exchange (SPDX) software bill of materials (SBOM) standard, which captures AI components such as datasets and iterative training a…

Polars, the Amsterdam-based startup behind the popular open-source library for data manipulation of the same name, raised a €18M Series A led by Accel (Anna Heim/TechCrunch)
https://techcrunch.com/2025/09/29/the-startup-behind-open-source-t…

The startup behind open source tool Polars raises $21M from Accel | TechCrunch
Polars, the Amsterdam-based company behind the popular open source project by the same name, has raised an €18 million Series A led by Accel.

Refining open cluster parameters with Gaia XP metallicities
M. Nizovkina, S. S. Larsen, A. G. A. Brown, A. Helmi
https://arxiv.org/abs/2510.10385 https://a…

Refining open cluster parameters with Gaia XP metallicities
The precision of cluster parameter determination has significantly improved with the availability of homogeneous photometric Gaia data, however, challenges such as age-metallicity degeneracy and lack of spectroscopic observations remain. In this paper we investigate whether metallicities derived from low-resolution Gaia XP spectra can be effectively used to break degeneracies and improve the accuracy of OC parameter determinations. We analysed 20 OCs using isochrone fitting methods on Gaia DR…

Didn't know that {skimr::skim} worked an arrow object. It's pretty cool, but it hits your RAM pretty hard. That's only a 70MB directory of parquet files, and my RAM usage went up by ~1.3GB. #RStats Code: https://ray.so/fCoXwso

Or one could use LibreOffice or Apache OpenOffice and not be dependent on some distant service provider.
Online office suites confuse me. It’s unclear what *modern* problem they address. Sharing files is a solved problem. Common data formats exist. https://mastodon.social/@DevOpsPink/11

Tatiana Mikhaleva (@DevOpsPink@mastodon.social)
Attached: 1 image Proton rolled out Proton Sheets - a spreadsheet Google can’t peek into. Gemini: “Show me your data?” You: “No.” Sheets: also no, but in Swiss.🇨🇭🔐 End-to-end encryption, zero-knowledge, even file names get the Swiss-bank treatment. You open a spreadsheet - Big Tech immediately cries. Somewhere in California, an AI whispers: “But… my training data…” Privacy 1 : 0 AI https://proton.me/blog/sheets-proton-drive #Proton #Privacy #Encryption #CyberSe…

It's so depressing how orgs like #Mozilla squander volunteer goodwill for nothing. They'll never recover from this self-inflicted damage:
«Mozilla’s translation bot on Support Mozilla (that is currently overwriting user contributions is based on the closed source, copyright infringing LLM, Google Gemini. This is in spite of Mozilla claiming that they are at the forefront of open source AI, and belies their exhortations to choose to build open source AI and data sets»
https://www.quippd.com/writing/2025/12/08/mozillas-betrayal-of-open-source-googles-gemini-ai-is-overwriting-volunteer-work-on-support-mozilla.html

„Open collections and open minds, I think those are the values that are important.“ - @…
Auf dem Weg zur #forge2025 in Rostock, die heute mit dem Workshop „Sammlungen als #Forschungsdaten

Fragility Analysis of Data-Driven Feedback Gains
Yongzhang Li, Amir Shakouri, M. Kanat Camlibel
https://arxiv.org/abs/2510.00717 https://arxiv.org/pdf/2510…

Fragility Analysis of Data-Driven Feedback Gains
For linear time-invariant systems, input-state data collected during an open-loop experiment can remedy the lack of knowledge of system parameters. However, such data do not contain information about other system uncertainties such as feedback perturbations. In this paper, we study the effect of additive perturbations on control parameters in a data-based setting. To this end, we parameterize the set of quadratically stabilizing feedback gains obtained from noisy input-state data. We study the …

📣 The call for nominations for the Sarah Jones Award 2026 is now open!
What is it?
‘The Sarah Jones Award for exceptional contribution to fostering collaboration in #OpenScience’ was established by the Research Data Alliance (RDA) in June 2024. This bi-annual award honours the memory of our dear colleague Sarah Jones, and her significant contributions to the global open science commu…

Ugh. I just finished moving 1.7TB of data from Google to Filen using Filen’s rclone fork. Some of it went fine, but a few files I tried to open failed to do so. Now I doubt the integrity of every file.

Sync-in · The open-source platform that keeps your data safe
Sync-in is your open-source platform to store, share, collaborate, and sync your files. Manage your data, freely, privately and with no compromise.
📑 https://sync-in.com
:mastodon: @…

Sync-in
The secure, open-source platform for file storage, sharing, collaboration, and syncing.

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

Rate optimal learning of equilibria from data
Till Freihaut, Luca Viano, Emanuele Nevali, Volkan Cevher, Matthieu Geist, Giorgia Ramponi
https://arxiv.org/abs/2510.09325 https:/…

Rate optimal learning of equilibria from data
We close open theoretical gaps in Multi-Agent Imitation Learning (MAIL) by characterizing the limits of non-interactive MAIL and presenting the first interactive algorithm with near-optimal sample complexity. In the non-interactive setting, we prove a statistical lower bound that identifies the all-policy deviation concentrability coefficient as the fundamental complexity measure, and we show that Behavior Cloning (BC) is rate-optimal. For the interactive setting, we introduce a framework that …

Intel unveils Crescent Island, a data center GPU designed for AI inference workloads, featuring Intel's Xe3P microarchitecture and 160GB of LPDDR5X memory (Dylan Martin/CRN)
https://www.crn.com/news/components-periph

Intel Reveals 160-GB, Energy-Efficient Inference GPU As Part Of New Yearly Cadence
Intel on Tuesday revealed a 160-GB, energy-efficient data center GPU that is part of a new annual GPU release cadence to deliver on the chipmaker’s new strategy of delivering open systems and software architecture for AI systems.

Heute vor 55 Jahren: Am 18. Dezember 1970 kam es zum #Atomtest "Baneberry". Die Operation #Emery war eine US-Serie von 24 Atomtestdetonationen zwischen 1970/71. Sie wurden auf dem Nevada Test Site (NST) unterirdisch durchgeführt und dienten der Waffenentwicklung.

Don't be scared, but today's Metacurity is super-packed with frightening cyber developments you should know before you head out to trick and treat, including
--Google and Amazon used secret code to dodge data disclosure laws, investigation,
--Suspected Conti member extradited to US from Ukraine,
--FCC will vote to eliminate cyber reporting requirements for carriers,
--UNC6384 targeted Hungarian and Belgian diplomatic entities,
--Medusa creators reportedl…

Google and Amazon used secret code to dodge data disclosure laws, investigation
Suspected Conti member extradited to US from Ukraine, FCC will vote to eliminate cyber reporting requirements for carriers, UNC6384 targeted Hungarian and Belgian diplomatic entities, Medusa creators reportedly arrested in Russia, UK MoD officer left laptop open on train, much more

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation
Weijia Dou, Xu Zhang, Yi Bin, Jian Liu, Bo Peng, Guoqing Wang, Yang Yang, Heng Tao Shen
https://arxiv.org/abs/2510.02186

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation
Recent attempts to transfer features from 2D Vision-Language Models (VLMs) to 3D semantic segmentation expose a persistent trade-off. Directly projecting 2D features into 3D yields noisy and fragmented predictions, whereas enforcing geometric coherence necessitates costly training pipelines and large-scale annotated 3D data. We argue that this limitation stems from the dominant segmentation-and-matching paradigm, which fails to reconcile 2D semantics with 3D geometric structure. The geometric c…

OpenJAI-v1.0: An Open Thai Large Language Model
Pontakorn Trakuekul, Attapol T. Rutherford, Jullajak Karnjanaekarin, Narongkorn Panitsrisit, Sumana Sumanakul
https://arxiv.org/abs/2510.06847

OpenJAI-v1.0: An Open Thai Large Language Model
We introduce OpenJAI-v1.0, an open-source large language model for Thai and English, developed from the Qwen3-14B model. Our work focuses on boosting performance on practical tasks through carefully curated data across three key use cases: instruction following, long-context understanding, and tool use. Evaluation results show that OpenJAI-v1.0 improves on the capabilities of its base model and outperforms other leading open-source Thai models on a diverse suite of benchmarks, while avoiding ca…

Starcloud, which launched a satellite with a Nvidia H100 chip in November, says the satellite is running and querying responses from Google's Gemma (Pia Singh/CNBC)
https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-tr…

‘Greetings, earthlings’: Nvidia-backed Starcloud trains first AI model in space as orbital data center race heats up
The company's Starcloud-1 satellite is running Gemma, an open model from Google, marking the first time in history that an LLM has been trained in outer space.

torchsom: The Reference PyTorch Library for Self-Organizing Maps
Louis Berthier, Ahmed Shokry, Maxime Moreaud, Guillaume Ramelet, Eric Moulines
https://arxiv.org/abs/2510.11147 …

torchsom: The Reference PyTorch Library for Self-Organizing Maps
This paper introduces torchsom, an open-source Python library that provides a reference implementation of the Self-Organizing Map (SOM) in PyTorch. This package offers three main features: (i) dimensionality reduction, (ii) clustering, and (iii) friendly data visualization. It relies on a PyTorch backend, enabling (i) fast and efficient training of SOMs through GPU acceleration, and (ii) easy and scalable integrations with PyTorch ecosystem. Moreover, torchsom follows the scikit-learn API for e…

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

We are pleased to announce the release of CTI-Transmute.org, a new free and open-source service designed to facilitate conversions between MISP and STIX 2.x formats.
The service is available both through a web interface and an API, allowing users to convert CTI data easily. The web UI also gives users the option to share or keep private their conversions for further review or collaboration.
You can view an example conversion here: 🔗

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Pietro Totis, Alberto Pozanco, Daniel Borrajo
https://arxiv.org/abs/2510.00876 https://

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Organizations are increasingly focused on leveraging data from their processes to gain insights and drive decision-making. However, converting this data into actionable knowledge remains a difficult and time-consuming task. There is often a gap between the volume of data collected and the ability to process and understand it, which automated knowledge discovery aims to fill. Automated knowledge discovery involves complex open problems, including effectively navigating data, building models to e…

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Just made the PR to sign @…'s open letter for a community fork from #Rails, to get away from fascist DHH.
I'm not really using Rails any longer, so I don't know that my voice carries any weight here. But, for 14 years we ran openSNP on Rails, providing the world with an open data/science resource. And the rise of the far-right authoritarianism played a big role in the decision to shut it down (see #ruby

An investor group and AI developer Voltai plan to use AI to design, build, and run a 3GW data center in South Korea, set to cost up to $35B and open in 2028 (Jiyoung Sohn/Wall Street Journal)
https://www.wsj.com/tech/a-…

Counterfactual Identifiability via Dynamic Optimal Transport
Fabio De Sousa Ribeiro, Ainkaran Santhirasekaram, Ben Glocker
https://arxiv.org/abs/2510.08294 https://

Counterfactual Identifiability via Dynamic Optimal Transport
We address the open question of counterfactual identification for high-dimensional multivariate outcomes from observational data. Pearl (2000) argues that counterfactuals must be identifiable (i.e., recoverable from the observed data distribution) to justify causal claims. A recent line of work on counterfactual inference shows promising results but lacks identification, undermining the causal validity of its estimates. To address this, we establish a foundation for multivariate counterfactual …

Heute vor 53 Jahren: Am 17.11.1972 zündeten die USA im Rahmen von Operation Toggle die Atombomben "Canna Limoges" u. "Umbrinus". Toggle war eine Serie von #Kernwaffentests bei der 72/73 35 Bomben größtenteils im Testgebiet in #Nevada und Rio Blanco unterirdisch gezündet wu…

FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection
Shubham Trehan, Udhav Ramachandran, Akash Rao, Ruth Scimeca, Sathyanarayanan N. Aakur
https://arxiv.org/abs/2510.09583 ht…

FSP-DETR: Few-Shot Prototypical Parasitic Ova Detection
Object detection in biomedical settings is fundamentally constrained by the scarcity of labeled data and the frequent emergence of novel or rare categories. We present FSP-DETR, a unified detection framework that enables robust few-shot detection, open-set recognition, and generalization to unseen biomedical tasks within a single model. Built upon a class-agnostic DETR backbone, our approach constructs class prototypes from original support images and learns an embedding space using augmented v…

Heute vor 48 Jahren: Am 17.11.1977 zündeten die #USA im Rahmen von Operation Cresset die 4. Atombombe "Seamount". Cresset war eine Serie von #Kernwaffentests bei der 1977/78 insgesamt 23 Bomben im Testgebiet in

F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Ziyin Zhang, Zihan Liao, Hang Yu, Peng Di, Rui Wang
https://arxiv.org/abs/2510.02294 …

F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
We introduce F2LLM - Foundation to Feature Large Language Models, a suite of state-of-the-art embedding models in three sizes: 0.6B, 1.7B, and 4B. Unlike previous top-ranking embedding models that require massive contrastive pretraining, sophisticated training pipelines, and costly synthetic training data, F2LLM is directly finetuned from foundation models on 6 million query-document-negative tuples curated from open-source, non-synthetic datasets, striking a strong balance between training cos…

Heute vor 4 Jahren: Am 18. Dezember 2021 führte #Indien vor der Küste von Odisha in Balasore erfolgreich den zweiten Test seiner Agni-P durch, einer ballistischen #Mittelstreckenrakete mit nuklearer Fähigkeit.

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

Heute vor 51 Jahren: Am 17. Oktober 1974 testen die #USA die Atombombe "Estaca". Die Operation Bedrock war eine Serie von 27 US-amerikanischen #Kernwaffentests, die 1974/75 auf der Nevada Test Site in Nevada unterirdisch durchgeführt wurde.

Scaling Generalist Data-Analytic Agents
Shuofei Qiao, Yanqiu Zhao, Zhisong Qiu, Xiaobin Wang, Jintian Zhang, Zhao Bin, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
https://arxiv.org/abs/2509.25084

Scaling Generalist Data-Analytic Agents
Data-analytic agents are emerging as a key catalyst for automated scientific discovery and for the vision of Innovating AI. Current approaches, however, rely heavily on prompt engineering over proprietary models, while open-source models struggle to face diverse-format, large-scale data files and long-horizon, multi-step reasoning that real-world analytics demands. This paper introduces DataMind, a scalable data synthesis and agent training recipe designed to build generalist data-analytic agen…

Heute vor 62 Jahren: Am 17. Oktober 1963 zündeten die USA im Rahmen von #Niblick die 11. #Atombombe "Clearwater". Niblick war eine Serie von Tests zwischen 63/64 bei der insgesamt 41 #Kernwaffentests

Who are you, ChatGPT? Personality and Demographic Style in LLM-Generated Content
Dana Sotto Porat, Ella Rabinovich
https://arxiv.org/abs/2510.11434 https://

Who are you, ChatGPT? Personality and Demographic Style in LLM-Generated Content
Generative large language models (LLMs) have become central to everyday life, producing human-like text across diverse domains. A growing body of research investigates whether these models also exhibit personality- and demographic-like characteristics in their language. In this work, we introduce a novel, data-driven methodology for assessing LLM personality without relying on self-report questionnaires, applying instead automatic personality and gender classifiers to model replies on open-ende…

Heute vor 55 Jahren: Am 16.12.1970 kam es simultan zu 4 #Atomtests "Avens-Andorre/Alkermes/Asamite/Cream". Die Operation #Emery war eine US-Serie von 24 Tests zwischen 1970/71. Sie wurden auf dem Nevada Test Site (NST) unterirdisch durchgeführt und dienten der Waffenentwicklung.

Heute vor 55 Jahren: Am 16. Dezember 1970 kam es zum #Atomtest "Artesia". Die Operation #Emery war eine US-Serie von 24 Atomtestdetonationen zwischen 1970/71. Sie wurden auf dem Nevada Test Site (NST) unterirdisch durchgeführt und dienten der Waffenentwicklung.

Heute vor 47 Jahren: Am 16.12.1978 zündeten die #USA im Rahmen von Operation Quicksilver die 3. Atombombe "Farm". Quicksilver war eine Serie von #Kernwaffentests bei der 1978/79 insgesamt 16 Bomben im Testgebiet in

OpenAI, Oracle, and Vantage Data Centers plan to build a data center in Wisconsin called Lighthouse, costing $15B and set to open in 2028, as part of Stargate (Juby Babu/Reuters)
https://www.reuters.com/business/openai-oracle-announce-…

Heute vor 62 Jahren: Am 16. Oktober 1963 zündeten die USA im Rahmen von #Niblick die 11. #Atombombe "Clearwater". Niblick war eine Serie von Tests zwischen 63/64 bei der insgesamt 41 #Kernwaffentests

Heute vor 39 Jahren: Am 16.10.1986 zündeten die #USA im Rahmen von Operation Musketeer die Atombombe "Belmont". Musketeer war eine Serie von #Kernwaffentests bei der 1986/87 insgesamt 16 Bomben im Testgebiet in

Heute vor 57 Jahren: Am 15. November 1968 zündeten die #USA im Rahmen von Operation Bowline die Atombombe "Ming Vase". Bowline war eine Serie von #Kernwaffentests bei der 68/69 insgesamt 58 Bomben im Testgebiet in

Heute vor 57 Jahren: Am 15. November 1968 zündeten die #USA im Rahmen von Operation Bowline die Atombombe "Auger". Bowline war eine Serie von #Kernwaffentests bei der 68/69 insgesamt 58 Bomben im Testgebiet in

Heute vor 36 Jahren: Am 14. November 1989 testen die #USA die Atombombe "Muleshoe". Die Operation Aqueduct war eine Serie von 10 US-amerikanischen #Kernwaffentests, die 1989 und 1990 auf der Nevada Test Site in Nevada unterirdisch durchgeführt wurde.

Heute vor 57 Jahren: Am 15. November 1968 zündeten die #USA im Rahmen von Operation Bowline die Atombombe "Knife-B". Bowline war eine Serie von #Kernwaffentests bei der 68/69 insgesamt 58 Bomben im Testgebiet in

Heute vor 59 Jahren: Am 15. Oktober 1966 testen die #USA die Atombombe "Khaki". Die Operation #Latchkey war eine Serie von 38 US-amerikanischen #Kernwaffentests, die 1966/67 auf der Nevad…

Heute vor 45 Jahren: Am 14. November 1980 testen die #USA die #Atombombe "Dauphin". Die Operation #Guardian war eine Serie von 14 US-amerikanischen

Heute vor 39 Jahren: Am 14.10.1986 zündeten die #USA im Rahmen von Operation Musketeer die Atombombe "Gascon". Musketeer war eine Serie von #Kernwaffentests bei der 1986/87 insgesamt 16 Bomben im Testgebiet in

Heute vor 52 Jahren: Am 13. Dezember 1973 führten die #USA in #Nevada den #Atomtest "Seafoam", Teil der "Operation Arbor", durch. Bei dieser Operation wurden 1973/74 20 Atomtests unterir…

Heute vor 56 Jahren: Am 13. November 1969 testen die #USA die Atombombe "Scuttle". Operation Mandrel war eine Serie von 53 US-amerikanischen #Kernwaffentests, die 1969/70 hauptsächlich auf der Nevada Test Site in Nevada unterirdisch durchgeführt wurde.

Heute vor 55 Jahren: Am 13. Oktober 1970 kam es zum #Atomtest "Scree" (3 Bomben simultan). Die Operation #Emery war eine US-Serie von 24 Atomtestdetonationen zwischen 1970/71. Sie wurden auf dem Nevada Test Site (NST) unterirdisch durchgeführt und dienten der Waffenentwicklung.

Heute vor 52 Jahren: Am 12. Dezember 1973 führten die #USA in #Nevada den #Atomtest "Pajara", Teil der "Operation Arbor", durch. Bei dieser Operation wurden 1973/74 20 Atomtests unterird…

Heute vor 43 Jahren: Am 12.11.1982 zündeten die #USA im Rahmen von Operation Phalanx die 1. Atombombe "Seyval". Phalanx war eine Serie von #Kernwaffentests bei der 1982/83 insgesamt 19 Bomben größtenteils im Testgebiet in

Heute vor 52 Jahren: Am 12. Oktober 1973 führten die #USA in #Nevada den #Atomtest "Husky Ace", Teil der "Operation Arbor", durch. Bei dieser Operation wurden 1973/74 20 Atomtests unteri…