Tootfinder

from my link log —
A design space exploration of async/await.
https://cel.cs.brown.edu/blog/design-space-async-await/
saved 2026-09-15 https:/…

A Design Space Exploration of Async/Await
Every language pitches async/await as synchronous-looking code, and the same two keywords appear everywhere. But behind the shared syntax hide nine independent design decisions, and no two of seven modern runtimes agree on what even the simplest async programs should do! In this paper we map the design space of async/await so you can find out where your language stands.

It must be galling to him that we no longer have the pre-Reagan pre-cable FCC regs and station norms that empowered the POTUS to monopolize the media in primetime.
I expect that many non-olds don’t even realize that was a thing. Once upon a time all TV was broadcast and most was network-affiliated or network-owned, and those all took the feed from the White House when it was offered. There was no escape... @…

Scott MacFarlane on Twitter
Brutal response from FCC Commissioner Anna Gomez to Trump's call for ABC and NBC to be stripped of licenses "It is ridiculous to call for broadcasters to lose their license simply for making the same editorial decisions they've made under presidents of both parties. Those editorial decisions are protected by the First Amendment, and the FCC has no authority to punish a station for refusing to air a blatantly political speech. This is a naked attempt to bully broadcasters, and the FCC should ha…

Ich habe mal auf meiner Instanz von #BookWyrm einen Zähler eingebaut. Jetzt kann man dort die Anzahl der Boosts und Likes sehen. Eine Leserin hatte den Wunsch und ich wollte das mal testen.
Wie findet ihr Zahlen unter euren Beiträgen? Was spricht dafür oder dagegen?
(Sinnvoll wäre es, wenn sich das auf Seiten der Nutzer:innen einstellen ließe, wie bei

Generalization Error Estimation for Primal--Dual Algorithms in Non-Smooth Regression
Kai Tan, Pierre C Bellec
https://arxiv.org/abs/2608.13870 https://arxiv.org/pdf/2608.13870 https://arxiv.org/html/2608.13870
arXiv:2608.13870v1 Announce Type: new
Abstract: This paper studies trajectory-wise estimation of generalization error for primal--dual algorithms in non-smooth regression. Motivating examples include \(\ell_1\)-penalized least absolute deviations regression and square-root Lasso regression, where the data-fitting loss is non-differentiable and existing risk estimators for gradient-type optimization paths do not apply directly. We develop a general recursive framework that includes the Chambolle--Pock algorithm and related primal--dual splitting methods. We estimate risk by correcting each in-sample fitted value with a weighted combination of past dual iterates. The ideal weights are Stein derivative contractions and depend on the design covariance. We construct replacement weights from observable derivative contractions of the fitted-signal trajectory, yielding a covariance-free, data-driven correction. For high-dimensional Gaussian designs and fixed finite iteration horizon, we prove finite-sample guarantees for both estimators. For square-root ridge, we further establish a matched-Gaussian universality result beyond Gaussian designs. Numerical experiments show that the proposed estimators accurately track the out-of-sample risk along finite optimization paths.
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A few highlights from the Turkish-Persian section of a random carpet symbolism book I skimmed while stopped at a random library in New Jersey a couple days ago

Over the past few days a lot of people have shared this new open source symbol-based color identification system as design augmentation/accessibility toolkit for addressing color vision deficiencies:
https://colorsym.com/
ColorADD is another (older) system which relies on a very similar kind of symbolic alge…

Sharp Minimax Theory for Randomized Experiments
Timothy Sudijono, Edgar Dobriban, Eric Tchetgen Tchetgen
https://arxiv.org/abs/2608.13822 https://arxiv.org/pdf/2608.13822 https://arxiv.org/html/2608.13822
arXiv:2608.13822v1 Announce Type: new
Abstract: We study minimax-optimal designs and estimators for estimating the sample average treatment effect in finite population randomized experiments, where both design and estimator are unrestricted. For binary potential outcomes, we show this minimax risk is equivalent to the minimax risk $\rho_n^*$ of an estimation problem with $2$ unknown parameters. We leverage this reduction to establish a second-order risk expansion $\rho_n^* = n^{-1} - Cn^{-4/3} o_n(n^{-4/3})$ for an explicit constant $C$ related to the Airy function. The minimax risk is attained by Bernoulli randomization with a nonlinear shrinkage estimator. Our results show that standard procedures such as complete randomization with difference in means are only minimax optimal up to first order in $n.$ We derive further results on admissibility of these procedures and discuss the practical implications of our results.
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The My Decorator Podcast | Interior Design
An interior design and decorating podcast offering simple, expert advice to help homeowners confidently create a calming, stylish, and functional dream home that effortlessly serves their lifestyle...
Great Australian Pods Podcast Directory: https://www.greataustrali…

⭐ Starred a repository

luisfrancisco/colorsym
An open-source symbol font that makes colors instantly identifiable by shape. Designed for color-blind accessibility
github.com/luisfrancisco/colorsym

GitHub - luisfrancisco/colorsym: An open-source symbol font that makes colors instantly identifiable by shape. Designed for color-blind accessibility · GitHub
An open-source symbol font that makes colors instantly identifiable by shape. Designed for color-blind accessibility - luisfrancisco/colorsym

"The Dodgers simply cannot champion Jackie Robinson and LGBTQ inclusion while legitimizing Trump."
☑️ Are the Dodgers tone deaf? White House visit an insult to fans - Los Angeles Times
https://www.latimes.com/sports/dodgers/sto

Are the Dodgers tone deaf? White House visit an insult to fans
For a franchise built on a diverse, immigrant-heavy fan base, the Dodgers' decision to visit President Trump at the White House — again — makes no sense.