US ethnic cleansing and what to do about it
Reposting link to source article instead of screenshot of tweet that had no alt text:
Data on arrests shows that ICE was heavily engaged in racial profiling in LA, because their arrest numbers fell by ~66% after that were ordered to stop making arrests based just in factors like skin color, with place, or language spoken.
#ICE #USPol
Tyler Robinson's roommate who tipped off FBI is identified as family refuse to deny transgender motive for Charlie Kirk assassination (Josh Boswell/Daily Mail)
https://www.dailymail.co.uk/news/article-15095195/tyler-robinson-roommate-text-messages-cops-arrest-utah.html
http://www.memeorandum.com/250913/p39#a250913p39
UtterTune: LoRA-Based Target-Language Pronunciation Edit and Control in Multilingual Text-to-Speech
Shuhei Kato
https://arxiv.org/abs/2508.09767 https://ar…
Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective
Hangjie Yuan, Weihua Chen, Jun Cen, Hu Yu, Jingyun Liang, Shuning Chang, Zhihui Lin, Tao Feng, Pengwei Liu, Jiazheng Xing, Hao Luo, Jiasheng Tang, Fan Wang, Yi Yang
https://arxiv.org/abs/2507.08801
Analysis of Domain Shift across ASR Architectures via TTS-Enabled Separation of Target Domain and Acoustic Conditions
Tina Raissi, Nick Rossenbach, Ralf Schl\"uter
https://arxiv.org/abs/2508.09868
Pay-per-output? AI firms blindsided by beefed up robots.txt instructions. https://arstechnica.com/tech-policy/2025/09/pay-per-output-ai-firms-blindsided-by-beefed-up-robots-txt-instructions/
Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages
Imalsha Puranegedara, Themira Chathumina, Nisal Ranathunga, Nisansa de Silva, Surangika Ranathunga, Mokanarangan Thayaparan
https://arxiv.org/abs/2508.09091
On The Road - To Xi’An/Before & After 🌬️
在路上 - 去西安/之前之后🌬️
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