Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@Techmeme@techhub.social
2026-01-21 00:36:10

Sources: Applied Compute, which lets companies customize models with their own data, is in talks to raise funding at a $1.3B valuation, up from $500M in October (The Information)
theinformation.com/articles/ap

@netzschleuder@social.skewed.de
2025-11-20 11:00:18

dbpedia_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

dbpedia_country: Person-Country Affiliations (DBpedia, 2016). 592414 nodes, 637134 edges. https://networks.skewed.de/net/dbpedia_country
@cosmos4u@scicomm.xyz
2025-12-20 01:39:07

TEMPO at Night: #ALAN

@heiseonline@social.heise.de
2025-10-21 11:13:00

Wenn das Wetter mitspielt: Kometen Swan und Lemmon am Nachthimmel
Gleich zwei Kometen fliegen in Sichtweite an der Erde vorbei. Wer sie erspähen will, braucht etwas Glück – oder sollte sich in der richtigen Region aufhalten.

@jacobgudiol@mastodonsweden.se
2025-11-21 10:55:58

Där var små skillnader i vissa test i några situationer. Tex verkade resultaten variera något beroende på hur länga personerna fastat. Så kanske är vissa egenskaper påverkade något vid vissa tillfällen.
Men överlag är det så små effekter så det är inget att bry sig om. Andra saker som stör en i miljön eller för dagen kommer ha betydligt större effekt är när man senast åt en måltid.
Skipping breakfast does not harm thinking skills, scientists say

@netzschleuder@social.skewed.de
2025-12-21 04:00:08

dbpedia_occupation: Person-Occupation Affiliations (DBpedia, 2016)
A bipartite network of the affiliations between notable people and occupations, as extracted from Wikipedia by the DBpedia project.
This network has 229307 nodes and 250945 edges.
Tags: Social, Affiliation, Unweighted
networks.s…

dbpedia_occupation: Person-Occupation Affiliations (DBpedia, 2016). 229307 nodes, 250945 edges. https://networks.skewed.de/net/dbpedia_occupation
@ripienaar@devco.social
2025-12-20 09:46:27

Child is abroad till January, chess.com app is pretty great.
Can do games with multi days between moves allowed so we can dip in and out between things and has a nice messaging feature to keep up to date.
Still surprised by the level of ability todays 8yo kids have vs when I was his age, I guess we were just not challenged to our abilities

@netzschleuder@social.skewed.de
2025-12-21 02:00:08

dbpedia_recordlabel: DBpedia artist-label affiliations
Bipartite networks of the affiliations (contractual relations) between artists and the record labels under which they have performed, as extracted from Wikipedia by the DBpedia project.
This network has 186758 nodes and 233286 edges.
Tags: Economic, Employment, Unweighted

dbpedia_recordlabel: DBpedia artist-label affiliations. 186758 nodes, 233286 edges. https://networks.skewed.de/net/dbpedia_recordlabel
@netzschleuder@social.skewed.de
2025-12-20 03:00:15

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
netwo…

dbpedia_team: DBpedia athlete-team affiliations. 935627 nodes, 1366466 edges. https://networks.skewed.de/net/dbpedia_team
@netzschleuder@social.skewed.de
2025-12-21 15:00:13

dbpedia_team: DBpedia athlete-team affiliations
Bipartite network of the affiliations (employment relations) between professional athletes and their teams, as extracted from Wikipedia by the DBpedia project.
This network has 935627 nodes and 1366466 edges.
Tags: Economic, Employment, Unweighted
netwo…

dbpedia_team: DBpedia athlete-team affiliations. 935627 nodes, 1366466 edges. https://networks.skewed.de/net/dbpedia_team