Tootfinder

twitter_events: Twitter, 5 events (2013-2014)
Various multiplex networks of retweets, mentions, and replies among Twitter users during specific events or occasions in 2013 and 2014.
This network has 327707 nodes and 396671 edges.
Tags: Social, Online, Multilayer, Unweighted
https://networks.skew…

.@rose.bsky.team: „People are talking about Bluesky! From data analyzed between Jan 1 — Aug 18, 2025, we captured 85.5% of share of voice across social, digital, and traditional media, according to Meltwater. This is what death looks like 💀“

:skull_cross:
#linux
@…

Watching an old #BloudhoundGang video Uhn Tiss Uhn Tiss Uhn Tiss and he mentions #TikTok and #Siri? So besides watching

twitter_events: Twitter, 5 events (2013-2014)
Various multiplex networks of retweets, mentions, and replies among Twitter users during specific events or occasions in 2013 and 2014.
This network has 102439 nodes and 353495 edges.
Tags: Social, Online, Multilayer, Unweighted
https://netwo…

What is happening here? F-35s for fighting against drugs traffickers is very strange. An attack against Venezuela would be a good distraction for Trump from everything that is going wrong elsewhere.
https://www.twz.com/air/10-f-35s-deploying

"Reform Council Bans All Mentions of Climate Change While Quietly Taking Green Funds From Government"
#UK #UnitedKingdom #Climate

Reform Council Bans All Mentions of Climate Change While Quietly Taking Green Funds From Government
Reform-run West Northamptonshire is removing all references to ‘climate change’ and ‘net zero’ from official documents, yet continuing to take government green grants

#Secure. Or not? This is the question! :) #security #software

Very interesting looking paper: In tech we trust: A history of technophilia in the Intergovernmental Panel on Climate Change's (IPCC) climate mitigation expertise
https://www.sciencedirect.com/science/article/pii/S2214629625003615
Hopefully someone wil…

twitter_events: Twitter, 5 events (2013-2014)
Various multiplex networks of retweets, mentions, and replies among Twitter users during specific events or occasions in 2013 and 2014.
This network has 438537 nodes and 991854 edges.
Tags: Social, Online, Multilayer, Unweighted
https://networks.skew…

Zohran's right. flex posts need to go the way of Andrew Cuomo's career
"we need bollards, we need to replace these flex delineators... there are New Yorkers who do not bike because they're afraid of their safety... we need to further protect our already protected bike lanes."

Just read this post by @… on an optimistic AGI future, and while it had some interesting and worthwhile ideas, it's also in my opinion dangerously misguided, and plays into the current AGI hype in a harmful way.
https://social.coop/@eloquence/114940607434005478
My criticisms include:
- Current LLM technology has many layers, but the biggest most capable models are all tied to corporate datacenters and require inordinate amounts of every and water use to run. Trying to use these tools to bring about a post-scarcity economy will burn up the planet. We urgently need more-capable but also vastly more efficient AI technologies if we want to use AI for a post-scarcity economy, and we are *not* nearly on the verge of this despite what the big companies pushing LLMs want us to think.
- I can see that permacommons.org claims a small level of expenses on AI equates to low climate impact. However, given current deep subsidies on place by the big companies to attract users, that isn't a great assumption. The fact that their FAQ dodges the question about which AI systems they use isn't a great look.
- These systems are not free in the same way that Wikipedia or open-source software is. To run your own model you need a data harvesting & cleaning operation that costs millions of dollars minimum, and then you need millions of dollars worth of storage & compute to train & host the models. Right now, big corporations are trying to compete for market share by heavily subsidizing these things, but it you go along with that, you become dependent on them, and you'll be screwed when they jack up the price to a profitable level later. I'd love to see open dataset initiatives SBD the like, and there are some of these things, but not enough yet, and many of the initiatives focus on one problem while ignoring others (fine for research but not the basis for a society yet).
- Between the environmental impacts, the horrible labor conditions and undercompensation of data workers who filter the big datasets, and the impacts of both AI scrapers and AI commons pollution, the developers of the most popular & effective LLMs have a lot of answer for. This project only really mentions environmental impacts, which makes me think that they're not serious about ethics, which in turn makes me distrustful of the whole enterprise.
- Their language also ends up encouraging AI use broadly while totally ignoring several entire classes of harm, so they're effectively contributing to AI hype, especially with such casual talk of AGI and robotics as if embodied AGI were just around the corner. To be clear about this point: we are several breakthroughs away from AGI under the most optimistic assumptions, and giving the impression that those will happen soon plays directly into the hands of the Sam Altmans of the world who are trying to make money off the impression of impending huge advances in AI capabilities. Adding to the AI hype is irresponsible.
- I've got a more philosophical criticism that I'll post about separately.
I do think that the idea of using AI & other software tools, possibly along with robotics and funded by many local cooperatives, in order to make businesses obsolete before they can do the same to all workers, is a good one. Get your local library to buy a knitting machine alongside their 3D printer.
Lately I've felt too busy criticizing AI to really sit down and think about what I do want the future to look like, even though I'm a big proponent of positive visions for the future as a force multiplier for criticism, and this article is inspiring to me in that regard, even if the specific project doesn't seem like a good one.

I second Peter Sjökvist's suggestion and wonder if there is any library catalogue that has such granular identifiers.
From: Sjökvist, P. (2022). »Resource Description and Access (RDA)« – Transcription and the Dilemma of a Rare Materials Cataloger. Bibliothek Und Wissenschaft, 55, 279–285 (p. 284).

Sgambaro Pastasole,
high protein low carb
THE FIRST ITALIAN PASTA WITH SUNFLOWER SEED FLOUR AND DURUM WHEAT SEMOLINA:
DESIGNED FOR THOSE WHO WANT TO LIVE THEIR WELLBEING
IN A NATURAL, TASTY AND SUSTAINABLE WAY
#Sgambaro

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

Study: in the past year, ~75% of S&P 500-listed firms have updated their official risk disclosures to detail or expand upon mentions of AI-related risk factors (Dan Robinson/The Register)
https://www.theregister.com/2025/07/15/sec_risk_factors_ai/

AI creeps into the risk register for America's biggest firms
: S&P 500 businesses warn investors they may never see ROI in SEC filings

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 116408 nodes and 150818 edges.
Tags: Social, Online, Weighted, Multilayer

Racked my brain over today’s #tunetuesday #cityaftermidnight until I came up with:
Bad boys inna London
Rude boys inna England
Bad boys inna Jericho
Rude boys inna Kingston
Mentions not one but TWO cities ✅
Talks about stars ✅ Ok Star Wars, but it’s good enou…

Not only do #Youtube's automatic AI voice-overs sound like customer-service hotline robots ... their translations aren't even correct!
Here's one of those funny "interview with a Javascript programmer / Linux user / etc." videos. It's subtitle right at the beginning mentions a "404 page" (you know, the web server "page not found" errors). The mo…

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 256491 nodes and 328132 edges.
Tags: Social, Online, Weighted, Multilayer

twitter_events: Twitter, 5 events (2013-2014)
Various multiplex networks of retweets, mentions, and replies among Twitter users during specific events or occasions in 2013 and 2014.
This network has 327707 nodes and 396671 edges.
Tags: Social, Online, Multilayer, Unweighted
https://networks.skew…

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

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 116408 nodes and 150818 edges.
Tags: Social, Online, Weighted, Multilayer

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 256491 nodes and 328132 edges.
Tags: Social, Online, Weighted, Multilayer

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
Pooja S. B. Rao, Sanja \v{S}\'cepanovi\'c, Dinesh Babu Jayagopi, Mauro Cherubini, Daniele Quercia
https://arxiv.org/abs/2508.16672

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
We analyzed nearly 460,000 AI model cards from Hugging Face to examine how developers report risks. From these, we extracted around 3,000 unique risk mentions and built the \emph{AI Model Risk Catalog}. We compared these with risks identified by researchers in the MIT Risk Repository and with real-world incidents from the AI Incident Database. Developers focused on technical issues like bias and safety, while researchers emphasized broader social impacts. Both groups paid little attention to fr…

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

twitter_events: Twitter, 5 events (2013-2014)
Various multiplex networks of retweets, mentions, and replies among Twitter users during specific events or occasions in 2013 and 2014.
This network has 438537 nodes and 991854 edges.
Tags: Social, Online, Multilayer, Unweighted
https://networks.skew…

twitter_events: Twitter, 5 events (2013-2014)
Various multiplex networks of retweets, mentions, and replies among Twitter users during specific events or occasions in 2013 and 2014.
This network has 102439 nodes and 353495 edges.
Tags: Social, Online, Multilayer, Unweighted
https://netwo…

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 256491 nodes and 328132 edges.
Tags: Social, Online, Weighted, Multilayer

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 38918 nodes and 32523 edges.
Tags: Social, Online, Weighted, Multilayer