@Techmeme@techhub.socialFrench authorities charge four people with spying for China by allegedly seeking to obtain satellite data from Starlink and other critical entities (Jenny Che/Bloomberg)
https://www.bloomberg.com/news/articles/2026-02-05/fran…
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@davidaugust@mastodon.onlineCFO Palantir talking about how they're working to make the various data streams of surveillance efficiently useful and remove the needle-in-a-haystack anonymity we have previously enjoyed. Awesome.
https://www.nytimes.com/2025/10/30/opinion
@Techmeme@techhub.socialUS and Canadian authorities warn that Chinese hackers are using the Brickstorm malware to install backdoor access within unnamed government and IT entities (A.J. Vicens/Reuters)
https://www.reuters.com/world/china/chinese-…
@cdarwin@c.imVentura County Voluntary Organizations Active in Disaster ( #VCVOAD )
is a collaborative of nearly 50 local non-profit agencies,
faith-based organizations,
volunteer groups,
public institutions,
and private entities
dedicated to improving outcomes for people affected by disasters.
VC-VOAD helps communities respond to and recover from major disasters guided by our f…
@burger_jaap@mastodon.socialCan you guess which country's EV charging strategy prioritises market-based price signals to guide charging and discharging?
#V2G
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@memeorandum@universeodon.comAlleged National Guard shooter worked with US government entities in Afghanistan, including CIA: Ratcliffe (Brooke Singman/Fox News)
https://www.foxnews.com/politics/alleged-national-guard-shooter-worked-us-government-entities-afghanistan-including-cia-ratcliffe
http://www.memeorandum.com/251127/p2#a251127p2
@publicvoit@graz.social#Moltbook #AI #Vulnerability Exposes Email Addresses, Login Tokens, and API Keys
@grumpybozo@toad.socialI hold out vain hope that the coming washout of marginal operators in the #Michigan #Cannabis sector when the wholesale tax goes in will help tighten up the entities that remain. Every year or so, I have to hunt down new CBN/Indica edibles that work for me (for sleep) because the manufacturers keep lettin…
@netzschleuder@social.skewed.dedbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph
@netzschleuder@social.skewed.dedbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph
@GroupNebula563@mastodon.socialalt text stolen from another variant of this meme posted by @… and modified to fit this version
tags and such: #VOTV #VOTVPosting
@groupnebula563@mastodon.socialalt text stolen from another variant of this meme posted by @… and modified to fit this version
tags and such: #VOTV #VOTVPosting
@brian_gettler@mas.toThank you local public institution for only making important operational announcements on foreign, corporate-owned social media. Those of us who haven't given our data to these entities and who are naive enough to imagine you'd put important announcements on your website salute you!
@netzschleuder@social.skewed.dedbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted
@hex@kolektiva.socialThe state has become an existential threat to humanity in multiple ways. Not only are we *all* at risk of being killed at any time by the monsterous incompetence and malice of these systems (yeah, listen to this: https://www.iheart.com/podcast/105-behind-the-bastards-29236323/episode/part-one-the-men-who-might-310407494/), but we are also slowly being killed by systems enforced and protected by these same entities.
States won't fix climate change. Ecocide is enabled by the existence of states.
Maybe... just maybe... it's time to think of other ways to organize ourselves.
@cdarwin@c.imU.S. Senator Mike Lee (R-UT) introduced dumb-ass legislation today
that would allow private entities to play at Pirates🏴☠️in the Caribbean
The "Cartel Marque and Reprisal Reauthorization Act"
authorizes felon-president Trump to commission American pirates,
under "letters of marque"
to seize property and persons on land or sea.
Representative Tim Bimbo Burchett (R-TN) introduced the House version of the legislation.
@Mediagazer@mstdn.socialMemo: TikTok CEO Shou Zi Chew says ByteDance's US entities will retain direct control over core US revenue drivers, including ecommerce, ads, and marketing (Financial Times)
https://www.ft.com/content/7a778d46-8bf8-4b11-af4e-5e5bd891cb9d
@newsie@darktundra.xyzBritish government sanctions Russian and Chinese groups over information warfare https://therecord.media/uk-sanctions-russia-china-entities-information-warfare
@tante@tldr.nettime.orgRE: https://hci.social/@fasterandworse/115708118238131855
We all know the pitch is just that you no longer have to write. They want to be the infrastructure for entities to "create content" (derogatory)
@Techmeme@techhub.socialNvidia refuted accounting questions in a memo to analysts, saying "Unlike Enron, NVIDIA does not use Special Purpose Entities to hide debt and inflate revenue" (Tae Kim/Barron's Online)
https://www.barrons.com/articles/nvidia-st…
@mcdanlj@social.makerforums.infoTonight, I'm drilling morse code POTA in Morse Walker with simulated callers at 22–30WPM, and I think for the first time I copied a 2x3 at 30 WPM on the first hearing ("WG0KTQ"), and copied some shorter 30WPM calls on the first hearing in 2-way pileups. Not reliably though, not even reliably without a pile-up!
Tomorrow afternoon, I expect to be in park US-6888, calling CQ at around 15WPM, aft…
@gwire@mastodon.socialDoes anyone know what happened to the BBC Things linked-data service? It looks like it's been down since at least February 2025?
https://www.bbc.co.uk/things/
@netzschleuder@social.skewed.dedbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph
@cdarwin@c.im @Mediagazer@mstdn.socialRussia calls Deutsche Welle an "undesirable organization", a label it applies to entities it says undermine its constitutional order or national security (Reuters)
https://www.reuters.com/business/media-telecom/rus…
@netzschleuder@social.skewed.dedbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted
@johnm@social.tchncs.deBeim @… in der Timeline den #CyberCircleCreator entdeckt.
https://ccc.cyber.to/
@Techmeme@techhub.socialMemo: TikTok CEO Shou Zi Chew says ByteDance's US entities will retain direct control over core US revenue drivers, including ecommerce, ads, and marketing (Financial Times)
https://www.ft.com/content/7a778d46-8bf8-4b11-af4e-5e5bd891cb9d
@netzschleuder@social.skewed.dedbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph
@newsie@darktundra.xyzDOJ, CISA warn of Russia-linked attacks targeting meat processing plants, nuclear regulatory entities and other critical infrastructure https://therecord.media/doj-cisa-warn-russia-hackers-targeting-critical-infrastructure
@netzschleuder@social.skewed.dedbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph
@newsie@darktundra.xyzChina’s APT31 linked to hacks on Russian tech firms https://therecord.media/russia-report-apt31-china-linked-hacks
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@Techmeme@techhub.socialFiling: Larry Page moved assets out of California ahead of the proposed CA wealth tax, meeting an end-of-2025 deadline; a source said he has left the state (Hugh Langley/Business Insider)
https://www.businessinsider.com/larry-page-leave-c…
@netzschleuder@social.skewed.dedbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph
@netzschleuder@social.skewed.dedbpedia_all: DBpedia network (v3.6)
A network among all entries in DBpedia, a project that extracts structured information from Wikipedia. Nodes represent entities in DBpedia and an edge connects two entities based on DBpedia's notion of their relatedness. The data is extracted from the version 3.6 of the database.
This network has 3966924 nodes and 13820853 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph
@netzschleuder@social.skewed.dedbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted
@newsie@darktundra.xyzFBI takes down alleged money laundering service for ransomware groups https://therecord.media/fbi-takes-down-alleged-money-laundering-operation
@netzschleuder@social.skewed.dedbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted
@newsie@darktundra.xyzNSA, Cyber Command nominee defends record during Senate hearing https://therecord.media/nsa-cyber-command-nom-joshua-rudd-senate-hearing
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@netzschleuder@social.skewed.dedbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted
@beeb@hachyderm.ioToday's puzzle in #AdventOfCode was another grid puzzle, where I again represented the entities as a sparse set.
Part 1 was relatively straightforward, a simplified BFS-like process allowed to construct the beams going through the system.
For part 2, additionally to gathering where a beam was present, I added metadata about how many paths were going through each position, adding them up and splitting them as required. Summing the paths for the last row gave the required result.
#AoC #AoC2025 #AdventOfCode2025 #RustLang #rust
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@newsie@darktundra.xyzChinese state hackers used Anthropic AI systems in dozens of attacks https://therecord.media/chinese-hackers-anthropic-cyberattacks
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@newsie@darktundra.xyzHamas-affiliated APT targeting government agencies in the Middle East, Morocco https://therecord.media/hamas-apt-targeting-government-agencies
@netzschleuder@social.skewed.dedbpedia_country: Person-Country Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and countries of the world, as extracted from Wikipedia via the DBpedia project. Countries include former countries, empires, kingdoms, and some country-like entities.
This network has 592414 nodes and 637134 edges.
Tags: Social, Affiliation, Unweighted
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
@netzschleuder@social.skewed.dedbpedia_location: DBpedia entity-location network
A bipartite network of the affiliations between named entities from Wikipedia and particular notable locations, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 225498 nodes and 293697 edges.
Tags: Informational, Relatedness, Unweighted
