Tootfinder

Sheri Byrne-Haber’s post “Accessibility and Usability: Inline Field Validation vs. Constantly Active Submit Button”:
https://buttondown.com/access-ability/archive/accessibility-and-usability-inline-field/
Added to my post “Don't Dis…

Accessibility and Usability: Inline Field Validation vs. Constantly Active Submit Button
AI-generated image of a hand against a dark background, holding a circle containing a light blue checkmark against a dark background. User researchers have...

discogs_label: Discogs label affiliations
Two bipartite networks of the affiliations between musical labels and either musical genres or musical "styles," as given in the discogs.com database. Edges represent that a label was involved in a production of a musical release of a given genre or given style. The date of this snapshot is uncertain.
This network has 270786 nodes and 4147665 edges.
Tags: Informational, Relatedness, Unweighted, Multigraph

Applied Compute, which wants to create custom AI agents trained on latent company knowledge, raised $80M from Benchmark, Sequoia, Elad Gil, and others (@appliedcompute)
https://x.com/appliedcompute/status/1983574375933866502

Applied Compute (@appliedcompute) on X
Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's

Computer scientists: The Turing test is a test of a machine's ability to exhibit intelligent behavior equivalent to that of a human.
Reality: The Turing test is a test of a human's ability not to be fooled by themselves that a machine is mimicking a human.
(Because the test uses a human to decide if something else is a human, it essentially explores the gullibility limit of an individual human—and says nothing about machine intelligence.)

R learning for applied statistics by Chenxin Li: #rstats

GitHub - cxli233/Online_R_learning: Online R learning for applied statistics
Online R learning for applied statistics . Contribute to cxli233/Online_R_learning development by creating an account on GitHub.

From reporting about last night's World Series Game 6: This is the kind of amazing act that makes someone a professional. Not only the sensory ability but also the ability to act on it in a fraction of a second. And it completely changed the game's outcome.

Grave of Anna Maria Vassa, daughter of Olaudah #Equiano (1745-1797), aka Gustavus #Vassa rediscovered in St Andrew, Chesterton, Cambridge

discogs_genre: Discogs artist affiliations
Two bipartite networks of the affiliations between musical artists and either musical genres or musical "styles," as given in the discogs.com database. An edge indicates that a given artist was involved in a production of a particular genre or style. The date of this snapshot is uncertain.
This network has 1754838 nodes and 19033891 edges.
Tags: Informational, Relatedness, Unweighted

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
http…

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
https://netwo…