X is testing a standalone X Chat iOS app with 1,000 users via Apple's TestFlight, a shift away from Elon Musk's plan to make X an "everything app" (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/03/03/x-begins-testing-standalone-x-chat-…
Ah, voilŠ pourquoi les tl ont distribué cette brochure d’information aujourd’hui: le #tram circulera dès demain!
https://www.rts.ch/info/re…
Ah, voilŠ pourquoi les tl ont distribué cette brochure d’information aujourd’hui: le #tram circulera dès demain!
https://www.rts.ch/info/re…
Ah, voilŠ pourquoi les tl ont distribué cette brochure d’information aujourd’hui: le #tram circulera dès demain!
https://www.rts.ch/info/re…
On the one hand, this is absurd. On the other hand, I encourage Alan Wong to lead by example and demolish his own Sunset home to replace it with a parking lot.
Yup, this is the quality of our Lurie-appointed D4 supervisor #sfpol
Seeing Iran appoint new leaders and continue to fight is seeing the more literal kind of necropolitics in action, as a hierarchical system continues to function while replacing the expendable human parts that it lost. The system is of course changed and influenced (and ultimately was built) by humans, but it has become something undying, or at least almost as hard to kill as an idea, and it maintains a terrible inertia in it's destructive tendencies (e.g., "Morality Police" continue to patrol the streets).
Lest anyone think this somehow expresses approval of US actions, the same logic applies here too: what once had a (thin) verneer of democracy, a system which loudly proclaimed to be controlled by "the people" (but which never was nor was ever intended to be) has lost its paint job, exposing the inhuman machinations beneath. Trump is a symptom, not cause, of an institution built on blood and spoils, whose alignment with the Epstein class (and moreover, their institutions) is ever more apparent with each disregarded law and principle.
Stepping back for a moment, this systems/necropolitics perspective is just a perspective, with its own distortions and blind spots. To paraphrase LeGuin, any institution built by humans can also be changed or destroyed by them. But I think it's very useful to put on the systems goggles in this moment, especially when some are fond of preaching about the dangers of "overwhelmingly powerful systems unaccountable to humans which pursue destructive ends" without actually examining the plethora of existing systems that do just that.
P.S. yes, United Healthcare is another good example of this.
P.P.S. yes I bending the meaning of necropolitics here, but the two are related: these systems would not be so free to profit from human death and suffering if they were more vulnerable to the deaths of their constituent parts. Necropolitics of the standard variety is of course present as companies like Raytheon and Lockeed Martin profit from the carnage. The F-15 caught by friendly fire? Just as profitable for Beoing to replace as one downed by the enemy.
The XCorp offices in Paris were raided.
“What potential crimes by X are being investigated?
The Paris prosecutors' office has listed the allegations that it is looking into as part of its investigation into Musk's social media platform:
- Complicity in the possession of images of minors of a pornographic nature
- Complicity in the organised distribution, offering, or making available of images of minors of a pornographic nature
- Defamation of a person'…
Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/3]:
- Diffusion Modulation via Environment Mechanism Modeling for Planning
Hanping Zhang, Yuhong Guo
https://arxiv.org/abs/2602.20422 https://mastoxiv.page/@arXiv_csAI_bot/116130110576555049
- Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning
Nihal Balivada, Shrey Gupta, Shashank Shreedhar Bhatt, Suyash Gupta
https://arxiv.org/abs/2602.20450 https://mastoxiv.page/@arXiv_csDC_bot/116130191233002036
- Prior-Agnostic Incentive-Compatible Exploration
Ramya Ramalingam, Osbert Bastani, Aaron Roth
https://arxiv.org/abs/2602.20465 https://mastoxiv.page/@arXiv_csGT_bot/116130245628406144
- PhyGHT: Physics-Guided HyperGraph Transformer for Signal Purification at the HL-LHC
Mohammed Rakib, Luke Vaughan, Shivang Patel, Flera Rizatdinova, Alexander Khanov, Atriya Sen
https://arxiv.org/abs/2602.20475 https://mastoxiv.page/@arXiv_hepex_bot/116130242350426528
- ActionEngine: From Reactive to Programmatic GUI Agents via State Machine Memory
Zhong, Faisal, Fran\c{c}a, Leesatapornwongsa, Szekeres, Rong, Nath
https://arxiv.org/abs/2602.20502 https://mastoxiv.page/@arXiv_csAI_bot/116130180718734838
- Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination
Rakshit Trivedi, Kartik Sharma, David C Parkes
https://arxiv.org/abs/2602.20517 https://mastoxiv.page/@arXiv_csAI_bot/116130223344095649
- Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
Lovelace, Belardi, Zalouk, Polavaram, Kundurthy, Weinberger
https://arxiv.org/abs/2602.20528 https://mastoxiv.page/@arXiv_csCL_bot/116130628998822849
- Standard Transformers Achieve the Minimax Rate in Nonparametric Regression with $C^{s,\lambda}$ T...
Yanming Lai, Defeng Sun
https://arxiv.org/abs/2602.20555 https://mastoxiv.page/@arXiv_statML_bot/116130512372759166
- Personal Information Parroting in Language Models
Nishant Subramani, Kshitish Ghate, Mona Diab
https://arxiv.org/abs/2602.20580 https://mastoxiv.page/@arXiv_csCL_bot/116130630309564204
- Characterizing Online and Private Learnability under Distributional Constraints via Generalized S...
Mo\"ise Blanchard, Abhishek Shetty, Alexander Rakhlin
https://arxiv.org/abs/2602.20585 https://mastoxiv.page/@arXiv_statML_bot/116130525452248337
- Amortized Bayesian inference for actigraph time sheet data from mobile devices
Daniel Zhou, Sudipto Banerjee
https://arxiv.org/abs/2602.20611 https://mastoxiv.page/@arXiv_statML_bot/116130543144314661
- Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model
Xueqiang Lv, Shizhou Zhang, Yinghui Xing, Di Xu, Peng Wang, Yanning Zhang
https://arxiv.org/abs/2602.20616 https://mastoxiv.page/@arXiv_csCV_bot/116130795466851481
- On the Convergence of Stochastic Gradient Descent with Perturbed Forward-Backward Passes
Boao Kong, Hengrui Zhang, Kun Yuan
https://arxiv.org/abs/2602.20646 https://mastoxiv.page/@arXiv_mathOC_bot/116130476952419594
- DANCE: Doubly Adaptive Neighborhood Conformal Estimation
Feng, Reich, Beaglehole, Luo, Park, Yoo, Huang, Mao, Boz, Kim
https://arxiv.org/abs/2602.20652 https://mastoxiv.page/@arXiv_statML_bot/116130551664144143
- Vision-Language Models for Ergonomic Assessment of Manual Lifting Tasks: Estimating Horizontal an...
Mohammad Sadra Rajabi, Aanuoluwapo Ojelade, Sunwook Kim, Maury A. Nussbaum
https://arxiv.org/abs/2602.20658 https://mastoxiv.page/@arXiv_csCV_bot/116130809228818544
- F10.7 Index Prediction: A Multiscale Decomposition Strategy with Wavelet Transform for Performanc...
Xuran Ma, et al.
https://arxiv.org/abs/2602.20712 https://mastoxiv.page/@arXiv_astrophIM_bot/116130530693731576
- Communication-Inspired Tokenization for Structured Image Representations
Davtyan, Sahin, Haghighi, Stapf, Acuaviva, Alahi, Favaro
https://arxiv.org/abs/2602.20731 https://mastoxiv.page/@arXiv_csCV_bot/116130824303022936
- SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
Yifei Xu, et al.
https://arxiv.org/abs/2602.20751 https://mastoxiv.page/@arXiv_csCL_bot/116130739757479992
- Assessing the Impact of Speaker Identity in Speech Spoofing Detection
Anh-Tuan Dao, Driss Matrouf, Nicholas Evans
https://arxiv.org/abs/2602.20805 https://mastoxiv.page/@arXiv_csSD_bot/116130218074059060
- Don't Ignore the Tail: Decoupling top-K Probabilities for Efficient Language Model Distillation
Sayantan Dasgupta, Trevor Cohn, Timothy Baldwin
https://arxiv.org/abs/2602.20816 https://mastoxiv.page/@arXiv_csCL_bot/116130753521420972
- DRESS: A Continuous Framework for Structural Graph Refinement
Eduar Castrillo Velilla
https://arxiv.org/abs/2602.20833 https://mastoxiv.page/@arXiv_csDS_bot/116130545112457981
toXiv_bot_toot
You see some effort on the part of Congress to assert itself in the realm of war.
But it failed predominantly on party lines
Republicans predominantly were supporting the president and whatever it happens to be that he would like to do.
Moderate Republicans and Republicans who are in less safe districts were and are more likely to at least stand up a little bit to the president,
but there’s a very small number of them.