Tootfinder

Kremlin says new US security strategy accords largely with Russia's view (Reuters)
https://www.reuters.com/world/china/kremlin-says-new-us-security-strategy-accords-largely-with-russias-view-2025-12-07/
http://www.memeorandum.com/251207/p50#a251207p50

The two relics of exploding stars are black holes and neutron stars.
Both were discovered by women.
Jocelyn Bell discovered neutron stars, in the guise of “pulsars”, in 1967.
Since then, three Nobel prizes have gone to male scientists for their work on pulsars, but none to Bell.
Louise Webster, the co-discoverer of black holes, has been largely forgotten.
Unless, of course, you remember her name.

The woman who discovered black holes
Louise Webster has been largely forgotten – it's time to remember her

An account of working at Cursor for 60 days: a largely in-person culture, few scheduled meetings, aggressive recruiting, heavy internal product testing, more (Brie Wolfson/Colossus)
https://joincolossus.com/article/inside-cursor/

Ofcourse…. The US is better friends with Russia then with Europe.
https://www.reuters.com/world/china/kremlin-says-new-us-security-strategy-accords-largely-with-russias-view-2025-12-07/

🥴 Cops on ketamine? Largely unregulated mental health treatment faces hurdles
https://medicalxpress.com/news/2025-10-cops-ketamine-largely-unregulated-mental.html

Cops on ketamine? Largely unregulated mental health treatment faces hurdles
Combining psychotherapy with low-dose ketamine, a hallucinogenic drug long used as an anesthetic, is a relatively new approach to treating severe depression and post-traumatic stress, especially in populations with high trauma rates such as firefighters, police officers, and military members. Yet evidence of the efficacy and safety of ketamine for treatment of mental health conditions is still evolving, and the market remains widely unregulated.

Ok, yeah, I'm not done processing my anger over liberals doing shit like this. So this historian sees a rise in right wing violence, sees the US government carrying out ethnic cleansing, sees a rise in white supremacist terrorism, and then says, "oh yeah... this reminds me of a time right around the 1920s. Hum... yeah, ANARCHISTS fighting the government! Yeah, that's the same thing."
FFS, IT'S THE RED SUMMER! If you want a parallel between today and some horrible time in US history, TALK ABOUT THE RED SUMMER. The point of the language of dehumanization that the right uses, the point of all the anti-black and anti-emigrant rhetoric, is that it leads to genocide. Trump already carried out an act of genocide (#USPol

Curia: A Multi-Modal Foundation Model for Radiology
Corentin Dancette, Julien Khlaut, Antoine Saporta, Helene Philippe, Elodie Ferreres, Baptiste Callard, Th\'eo Danielou, L\'eo Alberge, L\'eo Machado, Daniel Tordjman, Julie Dupuis, Korentin Le Floch, Jean Du Terrail, Mariam Moshiri, Laurent Dercle, Tom Boeken, Jules Gregory, Maxime Ronot, Fran\c{c}ois Legou, Pascal Roux, Marc Sapoval, Pierre Manceron, Paul H\'erent

Curia: A Multi-Modal Foundation Model for Radiology
AI-assisted radiological interpretation is based on predominantly narrow, single-task models. This approach is impractical for covering the vast spectrum of imaging modalities, diseases, and radiological findings. Foundation models (FMs) hold the promise of broad generalization across modalities and in low-data settings. However, this potential has remained largely unrealized in radiology. We introduce Curia, a foundation model trained on the entire cross-sectional imaging output of a major hos…

US airlines cancel more than 1,000 flights for a second straight day largely due to shutdown (Politico)
https://www.politico.com/news/2025/11/08/us-airlines-cancel-1000-flights-00643765
http://www.memeorandum.com/251109/p25#a251109p25

Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
Mitchell Keren Taraday, Shahaf Wagner, Chaim Baskin
https://arxiv.org/abs/2510.06820 https://…

Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
Multimodal retrieval still leans on embedding-based models like CLIP for fast vector search over pre-computed image embeddings. Yet, unlike text retrieval, where joint-encoder rerankers are standard, comparable vision--language rerankers are largely absent. We find that seminal joint encoders such as BLIP are severely bottlenecked by an expensive visual feature-extraction stage, preventing practical deployment at scale. Motivated by this bottleneck, we introduce EDJE, an Efficient Discriminativ…

U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
Fenghe Tang, Chengqi Dong, Wenxin Ma, Zikang Xu, Heqin Zhu, Zihang Jiang, Rongsheng Wang, Yuhao Wang, Chenxu Wu, Shaohua Kevin Zhou
https://arxiv.org/abs/2510.07041

U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
Over the past decade, U-Net has been the dominant architecture in medical image segmentation, leading to the development of thousands of U-shaped variants. Despite its widespread adoption, there is still no comprehensive benchmark to systematically evaluate their performance and utility, largely because of insufficient statistical validation and limited consideration of efficiency and generalization across diverse datasets. To bridge this gap, we present U-Bench, the first large-scale, statisti…