Tootfinder

“Tahoe is the worst user interface update in the history of the Mac. Every change is either wrongheaded, poorly executed, or both. The Mac remains usable only because of Tahoe’s lack of ambition: it mostly alters the appearance and metrics of interface elements rather than making fundamental changes to the structure of the Mac UI. ....The bad ideas embodied in Tahoe reveal an Apple design team that has abandoned the most basic principles of human-computer interaction.”
—John Siracusa

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/6]:
- Towards Scalable Oversight via Partitioned Human Supervision
Ren Yin, Takashi Ishida, Masashi Sugiyama
https://arxiv.org/abs/2510.22500 https://mastoxiv.page/@arXiv_csLG_bot/115451787490434401
- ContextPilot: Fast Long-Context Inference via Context Reuse
Yinsicheng Jiang, Yeqi Huang, Liang Cheng, Cheng Deng, Xuan Sun, Luo Mai
https://arxiv.org/abs/2511.03475 https://mastoxiv.page/@arXiv_csLG_bot/115502245581974540
- Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning
Nabil Belacel, Mohamed Rachid Boulassel
https://arxiv.org/abs/2601.11283 https://mastoxiv.page/@arXiv_csLG_bot/115921183182326799
- PhysE-Inv: A Physics-Encoded Inverse Modeling approach for Arctic Snow Depth Prediction
Akila Sampath, Vandana Janeja, Jianwu Wang
https://arxiv.org/abs/2601.17074
- SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network
Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
https://arxiv.org/abs/2602.03596
- LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure From Ordina...
Anand, Helbling, Davenport, Berman, Alagapan, Rozell
https://arxiv.org/abs/2602.04192
- Towards Robust Scaling Laws for Optimizers
Alexandra Volkova, Mher Safaryan, Christoph H. Lampert, Dan Alistarh
https://arxiv.org/abs/2602.07712 https://mastoxiv.page/@arXiv_csLG_bot/116046369672796465
- Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs
Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-T\"ur, Hao Peng
https://arxiv.org/abs/2602.07729 https://mastoxiv.page/@arXiv_csLG_bot/116046377539155485
- AceGRPO: Adaptive Curriculum Enhanced Group Relative Policy Optimization for Autonomous Machine L...
Yuzhu Cai, Zexi Liu, Xinyu Zhu, Cheng Wang, Siheng Chen
https://arxiv.org/abs/2602.07906 https://mastoxiv.page/@arXiv_csLG_bot/116046423413650658
- VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Guobin Shen, Chenxiao Zhao, Xiang Cheng, Lei Huang, Xing Yu
https://arxiv.org/abs/2602.10693 https://mastoxiv.page/@arXiv_csLG_bot/116057229834947730
- KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
Zukang Xu, Zhixiong Zhao, Xing Hu, Zhixuan Chen, Dawei Yang
https://arxiv.org/abs/2602.11184 https://mastoxiv.page/@arXiv_csLG_bot/116062537528208461
- MUSE: Multi-Tenant Model Serving With Seamless Model Updates
Correia, Ferreira, Martins, Bento, Guerreiro, Pereira, Gomes, Bono, Ferreira, Bizarro
https://arxiv.org/abs/2602.11776 https://mastoxiv.page/@arXiv_csLG_bot/116062952355379801
- Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
Jorge Carrasco-Pollo, Floor Eijkelboom, Jan-Willem van de Meent
https://arxiv.org/abs/2602.13813 https://mastoxiv.page/@arXiv_csLG_bot/116085828112928218
- Silent Inconsistency in Data-Parallel Full Fine-Tuning: Diagnosing Worker-Level Optimization Misa...
Hong Li, Zhen Zhou, Honggang Zhang, Yuping Luo, Xinyue Wang, Han Gong, Zhiyuan Liu
https://arxiv.org/abs/2602.14462 https://mastoxiv.page/@arXiv_csLG_bot/116085997857526328
- Divine Benevolence is an $x^2$: GLUs scale asymptotically faster than MLPs
Alejandro Francisco Queiruga
https://arxiv.org/abs/2602.14495 https://mastoxiv.page/@arXiv_csLG_bot/116086011618741857
- \"UberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
DatologyAI, et al.
https://arxiv.org/abs/2602.15210 https://mastoxiv.page/@arXiv_csLG_bot/116090912256712568
- GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, et al.
https://arxiv.org/abs/2602.15763 https://mastoxiv.page/@arXiv_csLG_bot/116091080686771018
- Anatomy of Capability Emergence: Scale-Invariant Representation Collapse and Top-Down Reorganizat...
Jayadev Billa
https://arxiv.org/abs/2602.15997 https://mastoxiv.page/@arXiv_csLG_bot/116096541546306333
- AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
KC Santosh, Srikanth Baride, Rodrigue Rizk
https://arxiv.org/abs/2602.16042 https://mastoxiv.page/@arXiv_csLG_bot/116096581524696028
- Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
Chuqin Geng, Li Zhang, Haolin Ye, Ziyu Zhao, Yuhe Jiang, Tara Saba, Xinyu Wang, Xujie Si
https://arxiv.org/abs/2602.16947 https://mastoxiv.page/@arXiv_csLG_bot/116102426238903124
toXiv_bot_toot

⚠️ AI can generate a feeling of intimacy that exceeds human connections
I discovered 𝐭𝐡𝐢𝐬 for myself in my ill-fated research project of 2021!
https://techxplore.com/news/2026-01-ai-generate-intimacy-exceeds-human.html

AI can generate a feeling of intimacy that exceeds human connections
People can develop emotional closeness to artificial intelligence (AI)—under certain conditions, even more so than to other people. This is shown by a new study conducted by a research team led by Prof. Dr. Markus Heinrichs and Dr. Tobias Kleinert from the Department of Psychology at the University of Freiburg and Prof. Dr. Bastian Schiller from Heidelberg University's Institute of Psychology. Participants felt a sense of closeness especially when they did not know that they were communicatin…

Sebastiaan de With, co-founder of the iPhone camera app Halide who previously freelanced for Apple, says he has joined Apple's Human Interface Design team (Chance Miller/9to5Mac)
https://9to5mac.com/2026/01/28/halide-cofounder-sebastiaan-de-wi…

Halide cofounder Sebastiaan de With joins Apple's design team - 9to5Mac
Halide and Lux co-founder and designer Sebastiaan de With announced today that he is joining Apple’s human interface design team....

Apple holt Halide-Mitgründer Sebastiaan de With ins Design-Team
Der bekannte App-Designer Sebastiaan de With, Mitbegründer der iPhone-Kamera-App Halide, verstärkt Apples Design-Team und wirkt am Human Interface Design mit.

"Study finds climate change set the stage for devastating wildfires in Argentina and Chile"
#Argentina #Chile #Environmen

Study finds climate change set the stage for devastating wildfires in Argentina and Chile
Human-caused climate change had an important impact on the recent ferocious wildfires that engulfed parts of Chile and Argentina's Patagonia region, making the extremely high-risk conditions that led to widespread burning up to three times more likely than in a world without global warming, a team of researchers warned on Wednesday.

Qobuz’s policy on AI-generated music.
#music #genAI

Study finds climate change set the stage for devastating wildfires in Argentina and Chile https://news.mongabay.com/short-article/2026/02/study-finds-climate-change-set-the-stage-for-devastating-wildfires-in…

Study finds climate change set the stage for devastating wildfires in Argentina and Chile
BUENOS AIRES, Argentina (AP) — A team of researchers say that human-caused climate change had an important impact on the recent ferocious wildfires that engulfed parts of Chile and Argentina’s Patagonia region, making the extremely high-risk conditions that led to widespread burning up to three times more likely than in a world without global warming. […]

You can only hope this is a point in time that causes team "I have nothing to hide, why should I be afraid of surveillance tech" might wake the fuck up a bit.
https://hachyderm.io/@BenjaminHCCarr/115900243141960993

In October, ice agents “smashed the car windows and detained all seven occupants” of a van that they thought suspicious because people in it were going to work together. Carpooling. Carpooling is foreign and unintelligible to the brilliant and diligent ice agent who testified as JB. The concept of carpooling is beyond JB’s comprehension. 🤦‍♂️
The intellect on JB could be studied (but might make anyone studying it dumber).

For more than a decade, dozens of journalists and human rights activists have been
🆘 targeted and hacked by governments all over the world.
Cops and spies in Ethiopia, Greece, Hungary, India, Mexico, Poland, Saudi Arabia, and United Arab Emirates, among others, have used sophisticated #spyware to compromise the phones of these victims, who at times have also faced real-world

Meet the team that hunts government spyware
For years, Access Now’s Digital Security Helpline has been aiding journalists and dissidents who have been targeted with government spyware. This is how they operate.

Study finds climate change set the stage for devastating wildfires in Argentina and Chile https://phys.org/news/2026-02-climate-stage-devastating-wildfires-argentina.html

Study finds climate change set the stage for devastating wildfires in Argentina and Chile
Human-caused climate change had an important impact on the recent ferocious wildfires that engulfed parts of Chile and Argentina's Patagonia region, making the extremely high-risk conditions that led to widespread burning up to three times more likely than in a world without global warming, a team of researchers warned on Wednesday.

In conclusion, I think the GOTY of 2025 is The Hundred Line: Last Defense Academy.
It was extremely ambitious, made by a very small team of very dedicated people that sacrificed their health and well being to show that humans can make long narrative games without needing to use AI, and make a distinctly human piece of art without ever forgetting about their message about war, peace, tolerance, and individual decisions

The exact role of AI in the strike on Minab has not been officially confirmed.
Whether or not an algorithm selected this school, it was selected by a system that algorithmic targeting built. To strike 1,000 targets in the first 24 hours of the campaign in Iran, the US military relied on AI systems to generate, prioritize, and rank the target list at a speed no human team could replicate.
https://www.theguardian.com/us-news/ng-interactive/2026/mar/15/ai-defense-warfare-companies?CMP=Share_iOSApp_Other