Tootfinder

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Genesis Owusu:
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#GenesisOwusu
https://genesisowusu.bandcamp.com/track/pirate-radio
https://open.spotify.com/track/6HQFxxX9d7HailblPX0Nxy

Der #Ganges trocknet laut einer neuen Studie so stark aus wie seit 1.300 Jahren nicht mehr.
Die Flussmenge ist heute um 76 Prozent geringer als beim schlimmsten historischen #Dürreereignis im 16. Jahrhundert. Hauptursache ist menschliches Handeln, darunter ein geschwächter Sommer-

The Ganges River is drying at an unprecedented rate, new study finds
The Ganges River is in crisis. This lifeline for around 600 million people in India and neighboring countries is experiencing its worst drying period in 1,300 years. Using a combination of historical data, paleoclimate records and hydrological models, researchers from IIT Gandhinagar and the University of Arizona discovered that human activity is the main cause. They also found that the current drying is more severe than any recorded drought in the river's history.

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Genesis Owusu:
🎵 PIRATE RADIO
#GenesisOwusu
https://genesisowusu.bandcamp.com/track/pirate-radio
https://open.spotify.com/track/6HQFxxX9d7HailblPX0Nxy

Grapefruit Genghis Khan
bot by @…
This is satire, not sedition: please don't extraordinarily rendition me to a black site.
#satire #potus45…

Librewolf: the best browser? - Bread on Penguins
https://www.youtube.com/watch?v=3gkmx3ixUXE

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[4/5]:
- PARTE: Part-Guided Texturing for 3D Human Reconstruction from a Single Image
Hyeongjin Nam, Donghwan Kim, Gyeongsik Moon, Kyoung Mu Lee

AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions
Zihan Wang, Jiaze Chen, Zhicheng Liu, Markus Mak, Yidi Du, Geonsik Moon, Luoqi Xu, Aaron Tua, Kunshuo Peng, Jiayi Lu, Mingfei Xia, Boqian Zou, Chenyang Ran, Guang Tian, Shoutai Zhu, Yeheng Duan, Zhenghui Kang, Zhenxing Lin, Shangshu Li, Qiang Luo, Qingshen Long, Zhiyong Chen, Yihan Xiao, Yurong Wu, Daoguang Zan, Yuyi Fu, Mingxuan Wang, Ming Ding

AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions
Competitive programming has emerged as a critical benchmark for evaluating the reasoning and coding capabilities of Large Language Models (LLMs). Despite impressive progress on existing benchmarks, we argue that current evaluations overstate model proficiency, masking a substantial gap between LLMs and elite human programmers. This gap arises from two key limitations: insufficient difficulty and scope of benchmark problems, and evaluation bias from low-quality test cases. To address these short…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Genesis Owusu:
🎵 PIRATE RADIO
#GenesisOwusu
https://genesisowusu.bandcamp.com/track/pirate-radio
https://open.spotify.com/track/6HQFxxX9d7HailblPX0Nxy

Grapefruit Genghis Khan
bot by @…
This is for tee hee, not treason: don't make me go to gulag.
#satire #potus45