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@boris@cosocial.ca
2025-11-09 18:30:19

Woo hoo! You all get to start adding stuff to Cosmik Network’s Semble: a social bookmarking tool built on ATProto, so all your data is stored in your own account semble.so
I’ve been using it for weeks, have it as a PWA on my phone, and it’s been great to just get the basics of saving links somewhere.

@crell@phpc.social
2025-11-09 17:06:20

Fascists don't get to claim whatever symbols they want. We can and should defend them.
offmessage.net/p/fascists-dont

@Techmeme@techhub.social
2025-10-08 19:46:03

Apple has removed Eyes Up, which archives video evidence of ICE abuses, from the App Store; unlike ICEBlock, it doesn't share ICE officers' real-time locations (Joseph Cox/404 Media)
404media.co/apple-banned-an-ap

@arXiv_csRO_bot@mastoxiv.page
2025-10-09 09:53:21

Sampling Strategies for Robust Universal Quadrupedal Locomotion Policies
David Rytz, Kim Tien Ly, Ioannis Havoutis
arxiv.org/abs/2510.07094

@arXiv_csLG_bot@mastoxiv.page
2025-10-09 10:54:21

A Broader View of Thompson Sampling
Yanlin Qu, Hongseok Namkoong, Assaf Zeevi
arxiv.org/abs/2510.07208 arxiv.org/pdf/2510.07208

@arXiv_csCL_bot@mastoxiv.page
2025-09-10 10:31:01

SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
Lukas Haas, Gal Yona, Giovanni D'Antonio, Sasha Goldshtein, Dipanjan Das
arxiv.org/abs/2509.07968

@gedankenstuecke@scholar.social
2025-11-09 23:33:20

«There is a massive power in standing for something that you'll never get by standing for whatever the most recent polls show. It's an attraction. It moves the lines of ought-to-be. It defines what is shameful by showing what is inspiring. It creates someplace else for people who have chosen shameful identities to go, if they so choose.»
The Extraordinary Power of Standing For Something
the-reframe.com/the-extraordin

@pgogl@troet.cafe
2025-10-10 04:41:47

Hat Bello sein Bewegungsziel erreicht?
Nach Kindern sind die Haustiere dran!
sueddeutsche.de/panorama/gps-t

@Techmeme@techhub.social
2025-10-09 17:40:43

A study finds that as few as 250 malicious documents can produce a "backdoor" vulnerability in an LLM, regardless of model size or training data volume (Anthropic)
anthropic.com/research/small-s

@arXiv_csLG_bot@mastoxiv.page
2025-10-10 11:13:29

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, Yujian Betterest Li, Dan Wang, Xiaoyu Zhang
arxiv.org/abs/2510.08445