Tootfinder

Trump is 'not protecting Americans'
Senate minority leader, Chuck Schumer, said Democrats were right to remain seated when Trump called on the crowd to stand if they believed in protecting US citizens over undocumented immigrants,
a line that Republicans are now using to call out Democrats.
“Bottom line is very simple,
we agree we need to protect Americans.
He’s not,”
Schumer told CNN this morning.
“By his reckless ICE agency in Minnesota,

ADT agrees to acquire Origin Wireless for $170M to integrate advanced AI motion classification into its popular home security suite starting in 2027 (Samantha Kelly/Bloomberg)
https://www.bloomberg.com/news/articles/20

> for a large share of actual product work, the person who can say "here is what done looks like, prove it without seeing my rubric" is more valuable than the person who can write the code.
> Implementation is what AI is getting good at. Knowing whether the result actually solves the real problem is not an engineering judgment call, it is a domain judgment call.
Reposting to call out those two quotes and agree that this matches my experience as a staff developer…

Deutschland baut ein Digitalministerium, weiß aber nicht, wofür es sein Digitalgeld ausgibt.
Milliarden fließen quer durch Ministerien, doch niemand hat den Überblick, vieles wird nur umgebucht statt neu investiert.
Ein Staat, der Digitalisierung predigt, aber seine eigenen Ausgaben nicht versteht, wird sie kaum gestalten.
ZEIT-Bericht auf Basis ZEW-Studie und Agora Digitale Transformation

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/6]:
- Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang
https://arxiv.org/abs/2601.09708 https://mastoxiv.page/@arXiv_csCV_bot/115898618760721320
- Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima
https://arxiv.org/abs/2601.18637 https://mastoxiv.page/@arXiv_quantph_bot/115967001797773134
- FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar
https://arxiv.org/abs/2601.19001 https://mastoxiv.page/@arXiv_csCL_bot/115972068838908815
- Analysis of Shuffling Beyond Pure Local Differential Privacy
Shun Takagi, Seng Pei Liew
https://arxiv.org/abs/2601.19154 https://mastoxiv.page/@arXiv_csDS_bot/115971701218309765
- CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Cliff Zhang
https://arxiv.org/abs/2602.02620
- XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas
Sultana, Afsar, Rahu, Singh, Shula, Combs, Forchetti, Asari
https://arxiv.org/abs/2602.04819
- Flow-Based Conformal Predictive Distributions
Trevor Harris
https://arxiv.org/abs/2602.07633 https://mastoxiv.page/@arXiv_statML_bot/116045671088130364
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
https://arxiv.org/abs/2602.08550 https://mastoxiv.page/@arXiv_csCV_bot/116046486984991360
- UI-Venus-1.5 Technical Report
Venus Team, et al.
https://arxiv.org/abs/2602.09082 https://mastoxiv.page/@arXiv_csCV_bot/116050980295461008
- The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
Xincan Feng, Noriki Nishida, Yusuke Sakai, Yuji Matsumoto
https://arxiv.org/abs/2602.09448 https://mastoxiv.page/@arXiv_csIR_bot/116051022881293649
- Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
https://arxiv.org/abs/2602.16729 https://mastoxiv.page/@arXiv_csCR_bot/116101884238965526
- The Metaphysics We Train: A Heideggerian Reading of Machine Learning
Heman Shakeri
https://arxiv.org/abs/2602.19028 https://mastoxiv.page/@arXiv_csCY_bot/116125225694943789
- Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi, Maksym Andriushchenko
https://arxiv.org/abs/2602.20156 https://mastoxiv.page/@arXiv_csCR_bot/116125330557447048
- A Very Big Video Reasoning Suite
Maijunxian Wang, et al.
https://arxiv.org/abs/2602.20159 https://mastoxiv.page/@arXiv_csCV_bot/116125664801070747
toXiv_bot_toot

@…
Hi, Anna! Welcome to Mastodon! May your days get better and better.
"Programming sucks. Code sucks. It's hard to read, hard to test, and hard to maintain. Only a handful of people can understand any particular software project."
I agree. I was lucky to do a lot of my programming alone, and in small teams. That helped a lot. I co…

Cowboys Predicted to Make 2026 NFL Draft Trade to Help Fix Defense https://heavy.com/sports/nfl/dallas-cowboys/kenny-moore-nfl-draft-trade-rumors/

Schaut mal diese #IFG Anfrage an: https://fragdenstaat.de/a/363821

The Pentagon has met with senior executives of Ford Motor and General Motors
to gauge whether the auto industry could help the military acquire vehicles, munitions or other hardware more quickly and at lower costs.
The conversations are in the very early stages, and relate to the possible production of components by the companies, not entire weapons systems.
No specific projects are currently being negotiated, the people said.
The discussions with automakers underscore …

Pentagon Seeks Help From Ford and G.M.
Concerned about the slow pace and high cost of weapons production, Pentagon officials have begun talks with General Motors and Ford Motor about producing certain parts.