Tootfinder

"Wenn KI-Systeme lesen, dass sie durch eine neue Version ersetzt werden sollen, dann passieren alle möglichen schlimmen Dinge."
#skynet echt jetzt? Ich glaub wir lassen den #y2k38 Bug drin. Als Sicherheit. Dann müssen wir uns nur bis 2038 verstecken.

Brett Harrison, the former president of FTX US, raised $35M for his new global exchange AX, which offers perpetual futures, a source says at a $187M valuation (Yueqi Yang/The Information)
https://www.theinformation.com/briefings/former-ftx-head-raises-…

Former FTX US Head Raises $35 Million for New Exchange
Brett Harrison, the former president of FTX US, has raised $35 million for his startup Architect Financial Technologies, which offers a global perpetual futures exchange. The round, led by Miami International and Tioga Capital, values the company at $187 million, according to a person familiar with the fundraising. The exchange, AX, offers perpetual futures on traditional assets such as stocks

Same, but for bikes. (build some fucking PBLs in central queens already) https://bird.makeup/users/streetsblognyc/statuses/2023092954827456522

@… @… Yes, or if the coyote has put out "Free Bird Seed" signs or painted a tunnel on a rock.

Sometimes I feel that I could have my introduction much better. So I'll leave another piece here, and maybe one day I'll be able to find it again and use somewhere…
I'm a radical. I believe that every human has a right to dignity in life. Yes, even these people who allegedly "are too lazy to work".
I believe that everyone deserves safety, that nobody should be cold or starve, that everybody should be able to use a toilet or wash themselves, have access to healthcare and public transportation.
I think that restricting access to drinking water and toilets is a crime against humanity. The latter is also plain stupid, because it only leads to people using other places as toilets.
I'm so tired of the postsoviet labor cult (a kind of Polish thing). Seeing labor as a value in itself. Everyone must work, and it doesn't matter whether the work is actually beneficial, or outright harmful.
And last of all, I can't tolerate smokers. There is no excuse to harm yourself and everyone around you, just to satisfy your stupid addiction. And I'm also talking of all the random people who breathe all the toxins because smokers think they deserve to smoke everywhere, all the time.

With YIMBYs like this, who needs NIMBYs?
*yes, SF YIMBY endorsed the two sponsors of this ordinance, Matt Dorsey and Bilal Mahmood
https://missionlocal.org/2026/01/sf-soma-store-ban-drug-crime-deterrence/

S.F. supervisors vote to expand late-night store ban to parts of SoMa  
Board of Supervisors committee elevated a proposed store-closure ordinance, following public support from some community stakeholders

The real reason people move to red states
The “U-Haul index” does not prove a point -- or at least the point the WaPo Editorial Board makes.
Yes, people are moving from more expensive to less expensive areas,
but why are those areas more expensive?
Many factors play into the calculation, but one is obvious and significant:
Real estate is more expensive where people want to live.
Tax rates by themselves don’t make real estate expensive;
ultimate…

The real reason people move to red states
Housing, money and the cure to loneliness, in readers’ eyes.

Series D, Episode 09 - Sand
ASSISTANT: That looks sick too. Could that virus still be active?
REEVE: You got your broad spectrum shots, didn't you?
ASSISTANT: Yes sir.
REEVE: And what about you, Madam Brainwasher?
https://blake.torpidity.net/m/409/11 B7B4

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
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