Tootfinder

Protest filling the street at 24th and Mission in San Francisco
#ICEProtests #FuckICE

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
Jingyu Xiao, Ming Wang, Man Ho Lam, Yuxuan Wan, Junliang Liu, Yintong Huo, Michael R. Lyu
https://arxiv.org/abs/2506.06251

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in automated front-end engineering, e.g., generating UI code from visual designs. However, existing front-end UI code generation benchmarks have the following limitations: (1) While framework-based development becomes predominant in modern front-end programming, current benchmarks fail to incorporate mainstream development frameworks. (2) Existing evaluations focus solely on the UI code generation task, whereas p…

Bernie Sanders warned of the US’s slide into authoritarianism
following Donald Trump’s decision to deploy the national guard to Los Angeles over the city’s protests against federal immigration raids.
https://www.theguardian.com/us-news/2025/j…

@… well, there are two separate problems here right? One is a scenario in which the textarea is readonly-esque and you want to report the value with line numbers outside of editing. The other is reporting line numbers while a user is editing? I’m not even sure what the latter might look like? e.g. “Your cursor is on line 4, which has the following code:”?

HyperCard was magnificent. Still is.
The HyperTalk language was cool — but even cooler IMO was the way the dev environment mixed code with direct manipulation of the UI. There are lots of problems with that approach for generalized Ui development, yes, but the experience of it was magical.
Unity and the like have a similar editor structure — edit UI objects, attach code to them — but the feeling is totally different somehow.
https://mastodon.social/@ricmac/114643259120579546

Even if “AI” worked (it doesn’t), there’s many reasons why you shouldn’t use it:
1. It’s destroying Internet sites that you love as you use chat bots instead of actually going to sources of information—this will cause them to be less active and eventually shut down.
2. Pollution and water use from server farms cause immediate harm; often—just like other heavy industry—these are built in underprivileged communities and harming poor people. Without any benefits as the big tech companies get tax breaks and don’t pay for power, while workers aren’t from the community but commute in.
3. The basic underlying models of any LLM rely on stolen data, even when specific extra data is obtained legally. Chatbots can’t learn to speak English just by reading open source code.
4. You’re fueling a speculation bubble that is costing many people their jobs—because the illusion of “efficiency” is kept up by firing people and counting that as profit.
5. Whenever you use the great cheat machine in the cloud you’re robbing yourself from doing real research, writing or coding—literally atrophying your brain and making you stupider.
It’s a grift, through and through.

Telkens weer vallen jongens voor bewegingen die autoriteit combineren met kameraadschap en een heldere visie op mannelijkheid. Opinie van mij over de manosphere en het idee dat het allemaal aan de media ligt https://www.

Opinie: ‘Als jongens radicaliseren door influencers, is dat vaak tijdelijk: als ze ouder worden, gaat hun beeld botsen met de realiteit’
Niemand beweert meer dat je gaat moorden door films of suïcide pleegt vanwege metal. Maar het beeld dat jongens radicaliseren door sociale media alleen is volgens mediawetenschapper Linda Duits nog hardnekkig. Goed nieuws: hun radicalisering is vaak tijdelijk.

Implantation studies of low-energy positive muons in niobium thin films
Ryan M. L. McFadden, Andreas Suter, Leon Ruf, Angelo Di Bernardo, Arnold M. M\"uller, Thomas Prokscha, Zaher Salman, Tobias Junginger
https://arxiv.org/abs/2507.03785

Implantation studies of low-energy positive muons in niobium thin films
Here we study the range of keV positive muons $μ^+$ implanted in Nb$_2$O$_5$($x$ nm)/Nb($y$ nm)/SiO$_2$(300 nm)/Si [$x$ = 3.6 nm, 3.3 nm; $y$ = 42.0 nm, 60.1 nm] thin films using low-energy muon spin spectroscopy (LE-$μ$SR). At implantation energies 1.3 keV $\leq E \leq$ 23.3 keV, we compare the measured diamagnetic $μ^+$ signal fraction $f_{\mathrm{dia.}}$ against predictions derived from implantation profile simulations using the TRIM.SP Monte Carlo code. Treating the implanted $μ^+$ as l…

Transient segregation of bi-disperse granular mixtures in a periodic chute flow
Soniya Kumawat, Vishnu Kumar Sahu, Anurag Tripathi
https://arxiv.org/abs/2507.04025

Transient segregation of bi-disperse granular mixtures in a periodic chute flow
Transient size segregation of a bi-disperse granular mixture flowing over a periodic chute is studied using the Discrete Element Method and continuum simulations. A recently developed particle force-based size segregation model is used to predict the time-dependent flow properties of binary mixtures starting from rest. A two-way coupled continuum model that solves the momentum balance and convection-diffusion equations by incorporating the mixture segregation model along with the generalized in…

IRS needs 11,000 hires to ‘maintain’ phone support for 2026 filing season, plans on 60% cut to IT staffing
https://federalnewsnetwork.com/workforce/2025/06/irs-needs-11000-hires-to-maintain-phone-support-for-2026-filing-season-plans-on-60-cut-to-it-staffing/