Tootfinder

"This is the metric by which you can tell who in politics are your allies and who are your enemies: whether they support or oppose the extreme concentration of wealth. In fact, the matter should be definitional." — George Monbiot
#Kleptocracy
Money Talks – George Monbiot

Money Talks
The grim truth is that almost the entire political class aligns with the ultra-rich against the rest.

"To restore democracy and create a fairer, safer, greener world, we must bring the ultra-rich to heel, cutting their fortunes until they can no longer bludgeon us."
#Kleptocracy
Money Talks – George Monbiot
https://www.

Money Talks
The grim truth is that almost the entire political class aligns with the ultra-rich against the rest.

Aliens and Angel Numbers: Creators Worry Porn Platform ManyVids Is Falling Into ‘AI Psychosis’ https://www.404media.co/manyvids-porn-platform-ai-psychosis-bella-french-bio/

"The second excuse is that the uber-rich will flee the country. There are three possible responses to this claim. The first is that there’s no evidence to support it. The second is, if true, good riddance: they do us more harm than good. The third is to say: then the obvious solution is a global tax-avoidance measure."
#Kleptocracy
Money Talks – George Monbiot

Money Talks
The grim truth is that almost the entire political class aligns with the ultra-rich against the rest.

Metsä Group myönsi: luonnonmetsän puut menivät sellukattilaan https://www.greenpeace.org/finland/tiedotteet/metsat/metsa-group-myonsi-luonnonmetsan-puut-menivat-sellukattilaan/

Metsä Group myönsi: luonnonmetsän puut menivät sellukattilaan - Greenpeace Suomi
Metsähallitus hakkasi Ylimmäisensuon luonnonmetsän viime perjantaina. Metsä Group myönsi viimein, että yhtiö osti puuta luonnonmetsän hakkuista.

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[1/6]:
- Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
https://arxiv.org/abs/2309.13411
- Knee or ROC
Veronica Wendt, Jacob Steiner, Byunggu Yu, Caleb Kelly, Justin Kim
https://arxiv.org/abs/2401.07390
- Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almud\'evar, Alfonso Ortega
https://arxiv.org/abs/2408.07016 https://mastoxiv.page/@arXiv_csLG_bot/112959235461894530
- Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
Etrit Haxholli, Yeti Z. Gurbuz, Ogul Can, Eli Waxman
https://arxiv.org/abs/2411.00759 https://mastoxiv.page/@arXiv_csLG_bot/113423933393275133
- Predicting Subway Passenger Flows under Incident Situation with Causality
Xiannan Huang, Shuhan Qiu, Quan Yuan, Chao Yang
https://arxiv.org/abs/2412.06871 https://mastoxiv.page/@arXiv_csLG_bot/113632934357523592
- Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
https://arxiv.org/abs/2501.08219 https://mastoxiv.page/@arXiv_csLG_bot/113831081884570770
- Universality of Benign Overfitting in Binary Linear Classification
Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik
https://arxiv.org/abs/2501.10538 https://mastoxiv.page/@arXiv_csLG_bot/113872351652969955
- Safe Reinforcement Learning for Real-World Engine Control
Julian Bedei, Lucas Koch, Kevin Badalian, Alexander Winkler, Patrick Schaber, Jakob Andert
https://arxiv.org/abs/2501.16613 https://mastoxiv.page/@arXiv_csLG_bot/113910356206562660
- A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin
https://arxiv.org/abs/2502.01310
- Improving the Convergence of Private Shuffled Gradient Methods with Public Data
Shuli Jiang, Pranay Sharma, Zhiwei Steven Wu, Gauri Joshi
https://arxiv.org/abs/2502.03652 https://mastoxiv.page/@arXiv_csLG_bot/113961314098841096
- Using the Path of Least Resistance to Explain Deep Networks
Sina Salek, Joseph Enguehard
https://arxiv.org/abs/2502.12108 https://mastoxiv.page/@arXiv_csLG_bot/114023706252106865
- Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
https://arxiv.org/abs/2502.17028 https://mastoxiv.page/@arXiv_csLG_bot/114063477202397951
- Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
Sharan Vaswani, Reza Babanezhad
https://arxiv.org/abs/2503.00229 https://mastoxiv.page/@arXiv_csLG_bot/114103018985567633
- Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Yan Li, Zhenyu Zhang, Zhengang Wang, Pengfei Chen, Pengfei Zheng
https://arxiv.org/abs/2503.04398 https://mastoxiv.page/@arXiv_csLG_bot/114120014622063602
- A Survey on Federated Fine-tuning of Large Language Models
Wu, Tian, Li, Sun, Tam, Zhou, Liao, Xiong, Guo, Li, Xu
https://arxiv.org/abs/2503.12016 https://mastoxiv.page/@arXiv_csLG_bot/114182234054681647
- Towards Trustworthy GUI Agents: A Survey
Yucheng Shi, Wenhao Yu, Jingyuan Huang, Wenlin Yao, Wenhu Chen, Ninghao Liu
https://arxiv.org/abs/2503.23434 https://mastoxiv.page/@arXiv_csLG_bot/114263024618476521
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
Chao Yang, Xiannan Huang, Shuhan Qiu, Yan Cheng
https://arxiv.org/abs/2504.13961 https://mastoxiv.page/@arXiv_csLG_bot/114380404041503229
- Regularity and Stability Properties of Selective SSMs with Discontinuous Gating
Nikola Zubi\'c, Davide Scaramuzza
https://arxiv.org/abs/2505.11602 https://mastoxiv.page/@arXiv_csLG_bot/114538965060456498
- RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta
https://arxiv.org/abs/2505.13289 https://mastoxiv.page/@arXiv_csLG_bot/114539124884913788
- RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios B. Giannakis
https://arxiv.org/abs/2505.18877 https://mastoxiv.page/@arXiv_csLG_bot/114578778213033886
- SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Bechler-Speicher, Zerio, Huri, Vestergaard, Gilad-Bachrach, Jess, Bhatt, Sazonovs
https://arxiv.org/abs/2505.19193 https://mastoxiv.page/@arXiv_csLG_bot/114578790124778172
toXiv_bot_toot

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Hints:
― procfs(5) is deprecated (the FreeBSD Handbook is outdated; <https://man.freebsd.org/cgi/man.cgi?qu

"Polling across 36 nations by the Pew Research Center found that 84% see economic inequality as a big problem, and 86% see the political influence of the rich as a major cause of it. In 33 of these nations, a majority believe their country’s economic system needs either “major changes” or “complete reform”. In the UK, a YouGov poll revealed, 75% support a wealth tax on fortunes above £10m, while only 13% oppose it."

Money Talks
The grim truth is that almost the entire political class aligns with the ultra-rich against the rest.

TIL Halo:Infinite's artificial intelligence, 'The Weapon' was given an official name!
And it's origins go all the way back to 1994! (And no, it's not Cortana)
▶️ Halo Studios FINALLY Revealed The Weapon's REAL Name (Huge Implications)
https://youtube.com/watch?v=EZ-2g6K…

🇺🇦 #NowPlaying on KEXP's #MorningShow
Death Cab for Cutie:
🎵 Crooked Teeth
#DeathCabforCutie
https://moonbatanarchisttheory.bandcamp.com/track/death-cab-for-cutie-crooked-teeth
https://open.spotify.com/track/4Qmm1kIX3RO1DKdsYQbLK0