#Tag · bonfire.cafe

I would really, really like a book-length overview like Smith's "Software Build Systems" https://isbnsearch.org/isbn/9780132171939 but for package management and package managers - something that compares and contrasts existing examples at a design/architectural/needs level and provides a framework for thinking about the entire class of problem.

ISBN 9780132171939 - Software Build Systems

Software Build Systems - Information and prices for ISBN 9780132171939, ISBN 0132171937

Alan Sill

@AlanSill@mast.hpc.social replied · yesterday

@gvwilson Until this happens, the Package Management devroom track at the upcoming #FOSDEM26 might be useful, as well as some of the talks at the #HPC, #BigData, and #DataScience one:
https://fosdem.org/2026/schedule/track/package-management/
https://fosdem.org/2026/schedule/track/hpc-big-data-data-science/

FOSDEM 2026 - HPC, Big Data & Data Science

FOSDEM 2026 - Package Management

Lukas Fuchsgruber #39C3 ⏚ boosted

Jörg Lehmann

@jrglmn@mastodon.social · 2 weeks ago

Two further results from the project "Human.Machine.Culture" (https://mmk.sbb.berlin/?lang=en) at @stabi_berlin published in Open Access

Guidelines for the Documentation of Ethical, Legal and Social Issues (ELSI) in Cultural Data

https://doi.org/10.5281/zenodo.16418345

Guidelines for the Publication of Cultural Data for AI Research

https://doi.org/10.5281/zenodo.15878097

Feedback to these publications is most welcome!

#bigdata #ML #culturalheritage #ELSI #digitalculturalheritage

Zenodo

Handreichung für die Veröffentlichung von Kulturdaten für die KI-Forschung – Guidelines for the Publication of Cultural Data for AI Research

Diese Handreichung bietet eine umfassende Anleitung für die Bereitstellung von Kulturerbedatensätzen für die KI-Forschung. Sie präsentiert eine Checkliste für die Veröffentlichung von Kulturdaten, betont die Bedeutung einer transparenten Dokumentation durch datasheets sowie der Beachtung der FAIR Prinzipien und verweist auf praktische Werkzeuge und Beispiele, um diese umzusetzen. Zentrale Aspekte der Datensatzerstellung wie die Strukturierung, Kuratierung und Qualitätssicherung werden ebenso vorgestellt wie gängige Repositorien und die Auswahl geeigneter Formate und Standards. These guidelines provide comprehensive guidance for the provision of cultural heritage datasets for AI research. They present a checklist for the publication of cultural data, emphasise the importance of transparent documentation through datasheets and compliance with the FAIR principles, and refer to practical tools and examples for implementing these. Key aspects of dataset creation such as structuring, curation and quality assurance are presented, as are common repositories and the selection of suitable formats and standards.

Zenodo

Leitfaden für die Dokumentation von ethischen, rechtlichen und sozialen Aspekten (ELSA) in Kulturdaten – Guidelines for the Documentation of Ethical, Legal and Social Issues (ELSI) in Cultural Data

Die aktuell unter dem Schlagwort „künstliche Intelligenz“ (KI) betriebenen Modelle wurden quasi ausschließlich auf Daten des 21. Jahrhunderts trainiert. Daher sind sie in hohem Maße ungeeignet für den Einsatz in historischen oder von der westlichen Welt kulturell differenten Kontexten. Die Bereitstellung von Daten aus dem Kulturerbe-Bereich schafft hier nicht einfach Abhilfe. Zwar sind solche Datensätze meist von hoher Qualität und zeichnen sich durch ihre historische Tiefe, ihren kulturellen Reichtum und ihre Diversität aus. Sie enthalten aber oft problematische Inhalte, die der Weltsicht vergangener Zeiten entstammt, und bedürfen daher einer umfassenden Dokumentation, um machine learning-Modelle präziser, leistungsfähiger und geeignet für den Einsatz in verschiedenen kulturellen Kontexten sowie dem Gemeinwohl dienlich zu machen. Dieser Leitfaden fokussiert auf ethische, soziale und rechtliche Aspekte bei der Dokumentation von Kulturerbe-Daten, die für das Training von machine learning-Modellen benutzt werden. Er konzentriert sich insbesondere darauf, wie diese Modelle möglicherweise historische oder statistische Verzerrungen („biases“) perpetuieren. Die Analyse wandert entlang der verschiedenen Phasen des gesamten machine learning workflows und arbeitet eine Reihe von neuralgischen Punkten heraus, an denen biases entstehen können. Darüber hinaus wird auf die Rolle von Kulturerbe-Einrichtungen abgehoben. Diese Einrichtungen verfügen sowohl über umfangreiches Erfahrungswissen bei der Etablierung von Dokumentationsverfahren als auch über wertvolle Datensätze. Sie sind daher in besonderem Maße dazu qualifiziert, durch mustergültige Dokumentationen begleitete Datensätze zu publizieren. Die Bereitstellung von Kulturerbe-Daten unter Einbeziehung ethischer Erwägungen kann dazu beitragen, für die Gesellschaft kritische Inhalte in einer Art und Weise aufzubereiten, dass die Entwicklung von KI-Anwendungen stimuliert und gesellschaftlich nachteilige Effekte vermieden werden. Der Leitfaden schließt mit einem Plädoyer für einen interdisziplinären Ansatz, um die aufgezeigten Probleme anzugehen, und er betont die Notwendigkeit proaktiver Maßnahmen von Kulturerbe-Einrichtungen, um in den Daten vorhandene Stereotype und Vorurteile zu dokumentieren und so einen positiven Beitrag zur KI-Ethik leisten zu können. Damit eröffnet dieser Leitfaden nicht nur die Möglichkeit, zur Entwicklung kleiner, in hohem Maße für spezifische Aufgaben im Kulturerbe-Bereich geeigneter Modelle mit einem hohen Kosten-Nutzen-Verhältnis beizutragen, sondern auch die vorhandenen großen Mehrzweckmodelle robuster, effizienter, kontextsensitiver, genauer und nachhaltiger zu machen. Die Publikation von hochqualitativen Kulturerbe-Datensätzen inklusive Dokumentation schärft das Profil der Kulturerbe-Einrichtung, macht sie als Partner:innen der Forschung attraktiv und eröffnet die Möglichkeit, an der Einwerbung von Forschungsmitteln teilzuhaben. The machine learning models currently used under the heading ‘artificial intelligence’ (AI) have been trained almost exclusively on data from the 21st century. They are therefore highly unsuitable for use in historical contexts or contexts that differ culturally from the Western world. The provision of data from the cultural heritage sector does not simply provide a remedy here. Such datasets are usually of high quality and are characterised by their historical depth, cultural richness and diversity. However, they often contain problematic content that stems from the worldview of bygone times and therefore require comprehensive documentation in order to make machine learning models more precise, powerful and suitable for use in different cultural contexts, and to enable their use for the common good. This guide focuses on ethical, social and legal aspects of documenting cultural heritage data used for training machine learning models. In particular, it focuses on how these models may perpetuate historical or statistical biases. The analysis moves along the different phases of the entire machine learning workflow and identifies a number of neuralgic points where biases can arise. In addition, the role of cultural heritage institutions is emphasised. These institutions have both extensive experience in establishing documentation procedures and valuable datasets. They are therefore particularly qualified to publish datasets accompanied by exemplary documentation. The provision of cultural heritage data, taking ethical considerations into account, can help to prepare critical content for society in a way that stimulates the development of AI applications and avoids socially detrimental effects. The guide concludes with a plea for an interdisciplinary approach to address the issues identified and emphasises the need for proactive measures by cultural heritage institutions to document existing stereotypes and biases in the data in order to make a positive contribution to AI ethics. In doing so, this guide not only opens up the possibility of contributing to the development of small-scale models that are highly suitable for specific tasks in the cultural heritage sector with a high cost-benefit ratio, but also of making the existing large-scale multipurpose models more robust, efficient, context-sensitive, accurate and sustainable. The publication of high-quality cultural heritage datasets, including documentation, sharpens the profile of the cultural heritage institution, makes it attractive as a partner for research and thus opens up the possibility of participating in the acquisition of research funding.

Jörg Lehmann

@jrglmn@mastodon.social · 2 weeks ago

Two further results from the project "Human.Machine.Culture" (https://mmk.sbb.berlin/?lang=en) at @stabi_berlin published in Open Access

Guidelines for the Documentation of Ethical, Legal and Social Issues (ELSI) in Cultural Data

https://doi.org/10.5281/zenodo.16418345

Guidelines for the Publication of Cultural Data for AI Research

https://doi.org/10.5281/zenodo.15878097

Feedback to these publications is most welcome!

#bigdata #ML #culturalheritage #ELSI #digitalculturalheritage

Zenodo

Handreichung für die Veröffentlichung von Kulturdaten für die KI-Forschung – Guidelines for the Publication of Cultural Data for AI Research

Zenodo

happyborg boosted

JL Johnson :veri_mast:

@User47@vmst.io · 3 weeks ago

Absolutely, 100%, no way, in hell.

I’ll take a 1960s Roper refrigerator over this overpriced, tech-ridden garbage. The sales guy approached me as I was laughing at it and mentioned Samsung has decided to start running ads on them. Folks who fell for the scam can now have ads magically appear in their kitchens.

#InternetOfShit #AIshit #aigarbage #bigtech #bigdata #surveillancecapitalism

Another side-by-side only this one appears to have two giant monitors. And advertises AI vision to suggest recipes based on what is already in the refrigerator that it’s spying on and I’m reporting back to advertisers.

Stainless steel side-by-side Samsung refrigerator with a gigantic iPad, looking thing covering almost the entire entirety of one of the half panels. It’s already showing an error message.

Chewie and 1 other boosted

Mark

@paka@mastodon.scot · 3 weeks ago

Once this infrastructure exists, mission creep is inevitable.

- What starts as ‘voluntary’ becomes mandatory
- A system that is just for workers expands to everyone, including children

https://action.openrightsgroup.org/tell-your-mp-attend-debate-digital-ids

#PoliceState #SurveillanceCapitalism #ToxicLabour #DigitalID #BigData #Cyberattack #hacking #security #privacy #Orwellian #LabourLies #KierStalin #Starmer

[2/2]

JL Johnson :veri_mast:

@User47@vmst.io · 3 weeks ago

Absolutely, 100%, no way, in hell.

#InternetOfShit #AIshit #aigarbage #bigtech #bigdata #surveillancecapitalism

Mark

@paka@mastodon.scot · 3 weeks ago

Once this infrastructure exists, mission creep is inevitable.

- What starts as ‘voluntary’ becomes mandatory
- A system that is just for workers expands to everyone, including children

https://action.openrightsgroup.org/tell-your-mp-attend-debate-digital-ids

#PoliceState #SurveillanceCapitalism #ToxicLabour #DigitalID #BigData #Cyberattack #hacking #security #privacy #Orwellian #LabourLies #KierStalin #Starmer

[2/2]

heise online boosted

c't Magazin

@ct_Magazin@social.heise.de · last month

Das Milliardengeschäft mit den Nutzerdaten | c’t uplink

Unternehmen sammeln Klicks, Likes und Standortdaten und leiten daraus psychologische Profile ab. Wie das abläuft, erläutern die c’t-Experten im c’t uplink.

https://www.heise.de/news/Das-Milliardengeschaeft-mit-den-Nutzerdaten-c-t-uplink-11087698.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#BigData #ct #ctuplink #Datenschutz #IT #Journal #KünstlicheIntelligenz #Netzpolitik #Werbebranche #Tracking #Überwachung #Verbraucherschutz #news

https://social.heise.de/tags/%C3%9Cberwachung

https://social.heise.de/tags/K%C3%BCnstlicheIntelligenz

c't Magazin

@ct_Magazin@social.heise.de · last month

Das Milliardengeschäft mit den Nutzerdaten | c’t uplink

Unternehmen sammeln Klicks, Likes und Standortdaten und leiten daraus psychologische Profile ab. Wie das abläuft, erläutern die c’t-Experten im c’t uplink.

https://www.heise.de/news/Das-Milliardengeschaeft-mit-den-Nutzerdaten-c-t-uplink-11087698.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#BigData #ct #ctuplink #Datenschutz #IT #Journal #KünstlicheIntelligenz #Netzpolitik #Werbebranche #Tracking #Überwachung #Verbraucherschutz #news

https://social.heise.de/tags/%C3%9Cberwachung

https://social.heise.de/tags/K%C3%BCnstlicheIntelligenz

Leo boosted

Marco Pres

@marcopres@mastodon.bida.im · last month

Conisglio vivamente
👇🏻
Teresa Numerico
Big data e algoritmi - Prospettive critiche
Carocci editore
#MastoLibri #Letture #Algoritmo #BigData

Marco Pres

@marcopres@mastodon.bida.im · last month

Conisglio vivamente
👇🏻
Teresa Numerico
Big data e algoritmi - Prospettive critiche
Carocci editore
#MastoLibri #Letture #Algoritmo #BigData

d@nny disc@ mc² boosted

Alan Sill

@AlanSill@mast.hpc.social · last month

Deadline for submissions for the 11th #HPC, #BigData, and #DataScience devroom at #FOSDEM26 (Brussels, Sat-Sun 31 Jan + 1 Feb 2026) is Mon 1 Dec 2025. Please see details at the link below. Looking forward to another dynamic, exciting, packed session! https://hpc-bigdata-fosdem26.github.io/

Alan Sill

@AlanSill@mast.hpc.social · last month

heise online

@heiseonline@social.heise.de · 2 months ago

Wie Europol mit Microsoft, Palantir, Clearview & Co. auf Kuschelkurs geht

Statewatch beklagt eine unheilige Allianz zwischen Europol und US-Tech-Unternehmen, die massive Interessenkonflikte und Transparenzprobleme mit sich bringe.

https://www.heise.de/news/Wie-Europol-mit-Microsoft-Palantir-Clearview-Co-auf-Kuschelkurs-geht-11072724.html?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_source=mastodon

#BigData #Datenschutz #KünstlicheIntelligenz #Microsoft #Netzpolitik #Palantir #Überwachung #news

heise online

Wie Europol mit Microsoft, Palantir, Clearview & Co. auf Kuschelkurs geht

Statewatch beklagt eine unheilige Allianz zwischen Europol und US-Tech-Unternehmen, die massive Interessenkonflikte und Transparenzprobleme mit sich bringe.

https://social.heise.de/tags/%C3%9Cberwachung

https://social.heise.de/tags/K%C3%BCnstlicheIntelligenz

Sam Chavez 🌈🌱🏜️

@rootschange@federate.social · 2 months ago

We’re going to be digging out of this data mess for decades! 👨‍🌾

Once you put trash into your AI 🤖 , you have a trash AI. So it reasons that anything with science and medical research would be the same. And we know the current US government isn’t reasonable.

Problem is it’s really hard to identity where the trash is once the models running. We’re going down the slipperiest of slopes.

More tech folks feel free to expand.
#ai #bigtech #uspol #bigdata #energy #MAGA

https://www.tomshardware.com/tech-industry/supercomputers/u-s-department-of-energy-and-amd-cut-a-usd1-billion-deal-for-two-ai-supercomputers-pairing-has-already-birthed-the-two-fastest-machines-on-the-planet?user_id=67796e171f9fa0652d04567e

beka valentine boosted

ICM

@icm@mastodon.sdf.org · 3 months ago

it’s getting there! help us at https://icm.museum to support the Thinking Machines Connection Machine re-animation journey!

#hypercube #supercomputer #ai #bigdata #retrocomputing #vintagecomputing #gpu

ICM

@icm@mastodon.sdf.org · 3 months ago

it’s getting there! help us at https://icm.museum to support the Thinking Machines Connection Machine re-animation journey!

#hypercube #supercomputer #ai #bigdata #retrocomputing #vintagecomputing #gpu

Beardy Star Stuff 🏴🌹🇵🇸 boosted

:linux: :freebsd:

@unixviking@social.linux.pizza · 4 months ago

A political appeal by a democratically minded European based on the dramatically changing situation and its consequences in the field of technology and IT:

Guys, if for whatever reason you are still working with Windows (or Apple, Google...), I can only urge you to take the current circumstances as a reason to switch to Linux and free software! Never has such a switch been more appropriate and important!

The end of Windows 10, Microsoft's coercion towards MS accounts and cloud compulsion, all the advertising spam from MS within Windows 11, the artificial hardware requirements for it, the AI compulsion in Windows, the data exploitation including data sales and telemetry behavior, the integrated spyware, and so many other negative and bad things!

And on top of that, there are the current political developments in the fascist states of America. Uneducated idiot, fascist, anti-democrat and narcissist with a severe minority complex – and best friend of child molester Epstein – Trump is turning the country into a fascist dictatorship, and the big American tech companies are bowing to the convicted criminal, most recently Tim Apple– ready to hand over all the data he demands and install surveillance tools, and not even stopping at Europe and Europeans.

Trump's hatred of Europe is well known, as is his admiration for war criminal and mass murderer Putin. Who knows what other brown crap will spill over the Atlantic to us.

That's why, dear people, and especially those outside the US (unfortunately, we can't help the good and decent people there, but they elected the brown problem in the White House themselves): Linux and free software now!

#linux #opensource #freesoftware #windows #endof10 #microsoft #google #apple #bigdata #bigtech #surveillance #fascism #trump #europe #eu #meta #amazon

:linux: :freebsd:

@unixviking@social.linux.pizza · 4 months ago

Alternatives to Big Tech/Big Data:

Windows, Apple, Google -> Linux (Debian, Fedora, Mint, Arch...)

Microsoft Office -> LibreOffice (Only Office would also work, but the founders are Russian, who knows...)

Google Android, Apple iOS -> Pixel with GrapheneOS, Fairphone 6 with /e/OS, Brax 3 with iode OS/Ubuntu Touch

OneDrive, Google Drive, iCloud, Dropbox, etc. -> Nextcloud, MEGA, pCloud, Proton Drive

Outlook, Gmail, etc. -> Proton Mail, Tutanota

Airdrop, Link to Windows -> Localsend, KDE Connect

WhatsApp, Telegram, iMessage -> Signal, Element, Threema

Google Search -> Ecosia, Qwant, Startpage, Duckduckgo

YouTube -> Peertube, or as an anonymous YT client: Freetube and Newpipe

Instagram -> Pixelfed
Facebook, X (Twitter) -> Mastodon, possibly Bluesky

Truly secure and anonymous VPN: Mullvad!

This is just a first overview of the most important alternatives for switching. Feel free to continue if needed!

#linux #opensource #freesoftware #windows #endof10 #bigdata #bigtech #surveillance #office #microsoft #google #apple #vpn #mastodon #cloud #grapheneos #iode #ubuntutouch #brax3 #pixel #murena #fairphone #youtube #search