@Techmeme@techhub.social2026-08-12 20:20:42
Mistral says its platform will support third-party open models, starting with Z.ai's GLM-5.2, and run them on the same infrastructure as its own models (Mistral AI Blog)
https://mistral.ai/news/regional-inference-open-models-new-compute/
@heiseonline@social.heise.de2026-08-14 13:03:03
KI-Update kompakt: Hate Aid vs. KI-Brillen, Mistral, Prompts, Twitch
Das „KI-Update“ liefert drei mal pro Woche eine Zusammenfassung der wichtigsten KI-Entwicklungen.
https://www.
@stargazersmith@social.linux.pizza2026-07-13 21:27:06
These mysterious exoplanets may have clouds of vaporized rock and grounds of scorching magma oceans | Space
These mysterious exoplanets may have clouds of vaporized rock and grounds of scorching magma oceans | Space https://www.s…
@metacurity@infosec.exchange2026-07-14 11:07:13
A hacker group called Breach Boyz has been emailing local TV stations in Oklahoma with seemingly accurate PII, including the SSNs, of 30 inmates in the Rogers County jail, but authorities say there has been no breach.
https://ktul.com/news/local/mystery-deepens-ov…
@azonenberg@ioc.exchange2026-08-14 08:56:52
The probing-class demo board is (I think) finished and awaiting final design review.
Anyone else want to throw a few eyes on it before it goes out to JLC?
https://github.com/azonenberg/electronics-training/tree/master/oscillosco…
@Mediagazer@mstdn.social2026-06-14 01:26:07
Fred Rogers Productions launches a Mister Rogers' Neighborhood YouTube channel, curating content based on monthly themes and focusing on reach over monetization (Marah Eakin/Current)
https://current.org/2026/06/mister-rogers-neighborhood…
@arXiv_mathST_bot@mastoxiv.page2026-08-14 08:12:20
On Bridging Mixture Distributions
Pierre Del Moral, Ajay Jasra, Ke Zhao
https://arxiv.org/abs/2608.13383 https://arxiv.org/pdf/2608.13383 https://arxiv.org/html/2608.13383
arXiv:2608.13383v1 Announce Type: new
Abstract: In this article we consider bridging between two mixture probability measures. In particular, given access to a Markov kernel between two component distributions, we provide a general mechanism to generate samples from one mixture to the other. Associated to a given reference and extended state space, we prove entropic optimality of this approach. In order to use this idea one needs to know the underlying mixtures and the Markov kernel, which is seldom available, and so we consider the case of Gaussian mixtures and Schr\"odinger Bridges. We prove a general $2-$Wasserstein continuity bound between the exact bridge and one that is approximated, based on $\epsilon-$covariance inflation, and these rely on a novel continuity analysis of perturbed Riccati maps. We apply our results in the context of bridging mixtures of Gaussians, single Gaussians and empirical estimators of the Gaussian parameters and the Monge map. For mixtures of Gaussians, when the parameters are estimated using the Expectation-Maxmization algorithm, the upper-bound on the $2-$Wasserstein distance between the true and approximated bridges is, under assumptions and with probability at least $1-10N^{-1}$, $\mathcal{O}\big(\big[\big(\tfrac{d\log N}{N}\big)^{1/2}\left\{1 \big(\tfrac{d\log N}{N}\right)^{1/2}(\epsilon^{-2} 1)\big\} \epsilon^2\big]\big) $
and for the other two cases, in expectation, $\mathcal{O}\left(d\left\{\tfrac{1 \epsilon^{-2}}{1 N} \epsilon^2\right\}\right)$, where $d,N\in\mathbb{N}$ is the dimension of the Gaussian and the number of empirical samples respectively. We also investigate our bounds numerically.
toXiv_bot_toot
@kexpmusicbot@mastodonapp.uk2026-07-13 09:48:00
🇺🇦 #NowPlaying on KEXP's #JazzTheatre
Thelonious Monk:
🎵 Misterioso
#TheloniousMonk
https://worldgalaxyrecords.bandcamp.com/track/misterioso
https://open.spotify.com/track/6NSkgbaPwvLc3VGuW7JUKN
@Don_kun@nerdculture.de2026-08-13 15:47:26
@lapizistik@social.tchncs.de2026-09-13 09:33:34