@carl@heath.social2025-11-10 12:31:06
När AI kan läsa filer och samarbeta, inte bara chatta. Jag byggde Ogmios, en personlig AI-infrastruktur med specialiserade assistenter för kunskapsarbete. Om möjligheter, begränsningar och open source.
https://carlheath.se/fran-obsidian-til…
@kexpmusicbot@mastodonapp.uk2025-12-09 08:00:33
@seeingwithsound@mas.to2026-01-09 09:35:58
Artificial vibrotactile feedback elicits neural correlates of sense of agency https://link.springer.com/article/10.1186/s12984-025-01850-2
@arXiv_csGT_bot@mastoxiv.page2025-12-08 08:28:40
Correlation of Rankings in Matching Markets
R\'emi Castera, Patrick Loiseau, Bary S. R. Pradelski
https://arxiv.org/abs/2512.05304 https://arxiv.org/pdf/2512.05304 https://arxiv.org/html/2512.05304
arXiv:2512.05304v1 Announce Type: new
Abstract: We study the role of correlation in matching markets, where multiple decision-makers simultaneously face selection problems from the same pool of candidates. We propose a model in which a candidate's priority scores across different decision-makers exhibit varying levels of correlation dependent on the candidate's sociodemographic group. Such differential correlation can arise in school choice due to the varying prevalence of selection criteria, in college admissions due to test-optional policies, or due to algorithmic monoculture, that is, when decision-makers rely on the same algorithms and data sets to evaluate candidates. We show that higher correlation for one of the groups generally improves the outcome for all groups, leading to higher efficiency. However, students from a given group are more likely to remain unmatched as their own correlation level increases. This implies that it is advantageous to belong to a low-correlation group. Finally, we extend the tie-breaking literature to multiple priority classes and intermediate levels of correlation. Overall, our results point to differential correlation as a previously overlooked systemic source of group inequalities in school, university, and job admissions.
toXiv_bot_toot
@netzschleuder@social.skewed.de2025-11-10 00:00:50
hyves: Hyves friendship network (2010)
A network of friendships among users of Hyves, an online social networking site in the Netherlands (comparable to Facebook at the time). Nodes represent users and an edge exists if two users are friends. These data were crawled in December 2010.
This network has 1402673 nodes and 2777419 edges.
Tags: Social, Online, Unweighted
@inthehands@hachyderm.io2026-02-08 17:22:32
The political empire of Trump has always been built on vibes, not facts. He was never a successful businessman — he sucked at it, actually — but he •played• one on TV. People voted for the character on The Apprentice, the character in the QAnon posts, the collectively imagined Second Coming cult leader with ripped muscles, the generic racist whose granting of permission to indulge in collective cruelty offered a kind of euphoric bonding.
The facts are never what gave him power.
3/
@seeingwithsound@mas.to2025-11-10 12:57:19
To ChatGPT: What are the neural correlates of human visual qualia? https://chatgpt.com/share/6911de34-1908-8004-a887-7395b84ee5f4
@carl@heath.social2026-02-08 10:24:02
30 years ago today, Barlow declared cyberspace independent. He was right that the network changes everything, but wrong that it could thrive without us. I suggest a new declaration. not independence, but interdependence.
https://carlheath.se/a-declaration-of-interdepende…
@seeingwithsound@mas.to2026-01-09 11:17:05
(2018) Where are the #fMRI correlates of #phosphene perception? https://www.frontiersin.org/journals/neuro
@carl@heath.social2026-01-07 20:37:48
I september går Sverige till val. Musk intervenerar redan i val över hela Europa; Tyskland, Storbritannien, Italien, Frankrike. Nu Sverige: "Sweden is dying." Jag samlar mina tankar om X, algoritmer och demokrati i en längre text.
https://carlheath.se/sa-kan-elon-musk-