Tootfinder

I donated a bit to Gary McCoy's campaign for District 8 supervisor in SF.
I'm hesitant to support merely "progressive" candidates since so many veer rightward after getting elected, like D8's current supe Mandelman, and recently D7 supe Melgar to a lesser degree.
But I really like Gary's platform, emphasizing non-police public safety programs; traffic calming as part of public safety; and pro-housing with emphasis on public investment, not just upzone an…

Priorities | Get Involved Today — Gary McCoy for District 8 Supervisor
Discover Gary McCoy's priorities for affordable housing, economic growth, and community development in District 8. Learn how he plans to support residents and local businesses.

🇺🇦 Auf radioeins läuft...
Curtis Mayfield:
🎵 Superfly
#NowPlaying #CurtisMayfield
https://djskitjointz1.bandcamp.com/track/superfly-skitz-og-mix-ft-curtis-mayfield
https://open.spotify.com/track/4XsH9zBWPOCdXoH9ZDdS8r

cmWave/FR3 Large-Scale Channel Characterization for Urban Macro/Micro and Suburban Environments
K. F. Nieman, O. Kanhere, S. S. Ghassemzadeh
https://arxiv.org/abs/2510.00275 htt…

cmWave/FR3 Large-Scale Channel Characterization for Urban Macro/Micro and Suburban Environments
This study delves into the comprehensive characterization of large-scale channels at centimeter wave frequencies 7-15 GHz for urban macro/micro and suburban environments. Path-loss, large-scale fading, and angular channel statistics are presented. Urban environments exhibited higher path loss and delay spread due to dense obstacles, whereas suburban areas showed relatively lower path loss but significant variability due to fewer but larger obstructions. The findings provide valuable insights fo…

🇺🇦 #NowPlaying on BBCRadio3's #RoundMidnight
Sofia Roubati:
🎵 Undocumented Hopes
#SofiaRoubati
https://open.spotify.com/track/6Sd2b8leV7rg8uPaEAWoFq

Phone 3a: NothingOS 4.0 bringt optionale Werbung auf dem Sperrbildschirm
Das Tech-Start-up Nothing ändert seine Strategie für seine Budget-Modelle: Auf dem Sperrbildschirm zieht mit Android 16 künftig optional Werbung ein.
…

ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction
Md. Abdur Rahman, Selvarajah Thuseethan, Kheng Cher Yeo, Reem E. Mohamed, Sami Azam
https://arxiv.org/abs/2510.00522

ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction
Automated birdsong classification is essential for advancing ecological monitoring and biodiversity studies. Despite recent progress, existing methods often depend heavily on labeled data, use limited feature representations, and overlook temporal dynamics essential for accurate species identification. In this work, we propose a self-supervised contrastive network, ARIONet (Acoustic Representation for Interframe Objective Network), that jointly optimizes contrastive classification and future fr…

“Babysitter” is such a weird word. Is it only for babies? Does the job involve sitting on them?? No, the job is to supervise young children of various ages: play with them and make sure they sleep when it’s time to sleep. A more accurate word would be “kidnapper.”

A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws
Hong-Yi Wang, Di Luo, Tomaso Poggio, Isaac L. Chuang, Liu Ziyin
https://arxiv.org/abs/2510.00504

A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws
When training large-scale models, the performance typically scales with the number of parameters and the dataset size according to a slow power law. A fundamental theoretical and practical question is whether comparable performance can be achieved with significantly smaller models and substantially less data. In this work, we provide a positive and constructive answer. We prove that a generic permutation-invariant function of $d$ objects can be asymptotically compressed into a function of $\ope…

"You scored 9 out of 10. Nicely done! Your knowledge is impressive. But there's still room to improve! Of everyone who has taken the quiz, 6 percent had more correct answers, and 91 percent had fewer correct answers."
Got a lucky guess on one.
https://missionl…