Tootfinder

I boosted this the other day:
https://w3c.social/@wai/115131341361675726
But I have not yet read the Accessibility Maturity Model Draft Note:
https:/…

SF Supervisor Matt Dorsey was one of 15 BCDC Commissioners who voted to take away weekday access to the Richmond-San Rafael Bridge bike path.
Dorsey said cyclists need to learn to compromise more. So much for his bragging about using bikeshare 🚮
https://richmond…

Richmond bridge bike lane access to be reduced starting this fall
The change to Thursday afternoons through Sundays, starting in October, lets transportation officials test the impact on traffic congestion.

🇺🇦 #NowPlaying on BBCRadio3's #BBCProms
Pyotr Ilyich Tchaikovsky, Pablo Ferršndez, Martin Fröst & Swedish Chamber Orchestra:
🎵 Variations on a Rococo Theme, Op. 33: Thema - Moderato semplice
#PyotrIlyichTchaikovsky
https://open.spotify.com/track/2UrsTU1oKjSTM8CLLgjBwv

CMMC Could Begin Showing Up in DoD Contracts Oct. 1
https://meritalk.com/articles/cmmc-could-begin-showing-up-in-dod-contracts-oct-1/

CMMC Could Begin Showing Up in DoD Contracts Oct. 1
The clock is ticking for contractors to comply with the Department of Defense’s (DoD) long-anticipated cybersecurity compliance policy. By Oct. 1, the Cybersecurity Maturity Model Certification (CMMC) clause could start appearing in all applicable DoD contracts.

@… FYI
https://social.growyourown.services/@FediFollows/115168267173849766

D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning
Sai Kartheek Reddy Kasu, Mohammad Zia Ur Rehman, Shahid Shafi Dar, Rishi Bharat Junghare, Dhanvin Sanjay Namboodiri, Nagendra Kumar
https://arxiv.org/abs/2509.06771

D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning
Dark humor in online memes poses unique challenges due to its reliance on implicit, sensitive, and culturally contextual cues. To address the lack of resources and methods for detecting dark humor in multimodal content, we introduce a novel dataset of 4,379 Reddit memes annotated for dark humor, target category (gender, mental health, violence, race, disability, and other), and a three-level intensity rating (mild, moderate, severe). Building on this resource, we propose a reasoning-augmented f…

Selenskyj unterstützt europäischen Friedensaufruf
Der ukrainische Präsident Selenskyj hat sich hinter das Statement europäischer Spitzenpolitiker zum Ukraine-Krieg gestellt. Auf X schrieb Selenskyj, das Ende des Krieges müsse gerecht sein. "Ich bin allen dankbar, die für den Frieden in der Ukraine an der Seite der Ukraine und unseres Volkes stehen, der die lebenswichtigen Sicherheitsinteressen unser…
🔗

Krieg gegen die Ukraine: Das Wichtigste zum Trump-Putin-Treffen
US-Präsident Trump und Russlands Präsident Putin treffen sich am 15. August, um über den Ukraine-Krieg zu sprechen. Die europäischen Verbündeten Kiews wollen mitreden. Was ist von dem Gipfel zu erwarten? Und warum gerade Alaska?

Ramos makes it 4-0 off a nifty backheel pivot from Barcola. 🗡️
No stoppage time given and it was a mercy. PSG were far better, even without the defensive miscues from Real Madrid.
I salute Modric in his last game for Real Madrid. Spectacular player at the end of a great run. 👏
#ClubWorldCup #PSGRMA

Dankbar für Retröt. :boost_requested:
Verzweifelte Frage an die Bauchschläferinnen Ü50 (w/m/d):
Welche Matratze könnt ihr empfehlen – gern eine, bei der ich nicht gleich Insolvenz anmelden muss.
Meine Matratze und der Lattenrost haben jetzt 10 Jahre auf dem Buckel und wenn ich darauf schlafe (in Bauchlage mit angewinkeltem Bein), kriege ich Schulter-Nacken-Verspannungen und derbe Kopfschmerzen.
Täglich seit einem Jahr.
🧵

AI for the Routine, Humans for the Complex: Accuracy-Driven Data Labelling with Mixed Integer Linear Programming
Mohammad Hossein Amini, Mehrdad Sabetzadeh, Shiva Nejati
https://arxiv.org/abs/2507.04990

AI for the Routine, Humans for the Complex: Accuracy-Driven Data Labelling with Mixed Integer Linear Programming
The scarcity of accurately labelled data remains a major challenge in deep learning (DL). Many DL approaches rely on semi-supervised methods, which focus on constructing large datasets that require only a minimal amount of human-labelled data. Since DL training algorithms can tolerate moderate label noise, it has generally been acceptable for the accuracy of labels in large training datasets to fall well short of a perfect 100%. However, when it comes to testing DL models, achieving high label …