Tootfinder

Nvidia says the Jetson AGX Thor, its latest "robot brain" chip module, is now on sale for $3,499 as a developer kit; the module will ship next month (Kif Leswing/CNBC)
https://www.cnbc.com/2025/08/25/nvidias-thor-t5000-robot-brain-chip.html
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Nvidia's new 'robot brain' goes on sale for $3,499 as company targets robotics for growth
Nvidia's Jetson AGX Thor robotics chips are now on sale for $3,499 as a developer kit.

GLARE: Agentic Reasoning for Legal Judgment Prediction
Xinyu Yang, Chenlong Deng, Zhicheng Dou
https://arxiv.org/abs/2508.16383 https://arxiv.org/pdf/2508.…

GLARE: Agentic Reasoning for Legal Judgment Prediction
Legal judgment prediction (LJP) has become increasingly important in the legal field. In this paper, we identify that existing large language models (LLMs) have significant problems of insufficient reasoning due to a lack of legal knowledge. Therefore, we introduce GLARE, an agentic legal reasoning framework that dynamically acquires key legal knowledge by invoking different modules, thereby improving the breadth and depth of reasoning. Experiments conducted on the real-world dataset verify the…

Influence of the majority group on individual judgments in online spontaneous conversations
Diletta Goglia, Davide Vega, Alessio Gandelli
https://arxiv.org/abs/2509.21092 https:…

Influence of the majority group on individual judgments in online spontaneous conversations
This study investigates how the majority group influences individual judgment formation and expression in anonymous, spontaneous online conversations. Drawing on theories of social conformity and anti-conformity, we analyze everyday dilemmas discussed on social media. First, using digital traces to operationalize judgments, we measure the conversations' disagreement and apply Bayesian regression to capture shifts of judgments formation before and after the group's exposure. Then we analyze chan…

Better Language Model-Based Judging Reward Modeling through Scaling Comprehension Boundaries
Meiling Ning, Zhongbao Zhang, Junda Ye, Jiabao Guo, Qingyuan Guan
https://arxiv.org/abs/2508.18212

Better Language Model-Based Judging Reward Modeling through Scaling Comprehension Boundaries
The emergence of LM-based judging reward modeling, represented by generative reward models, has successfully made reinforcement learning from AI feedback (RLAIF) efficient and scalable. To further advance this paradigm, we propose a core insight: this form of reward modeling shares fundamental formal consistency with natural language inference (NLI), a core task in natural language understanding. This reframed perspective points to a key path for building superior reward models: scaling the mod…

DC cracks down on reckless drivers with first court judgment for $77K under STEER Act
https://www.dcnewsnow.com/news/local-news/washington-dc/dc-cracks-down-on-reckless-drivers-with-first-court-judg…

When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
Benjamin Feuer, Chiung-Yi Tseng, Astitwa Sarthak Lathe, Oussama Elachqar, John P Dickerson
https://arxiv.org/abs/2509.20293

When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
LLM-judged benchmarks are increasingly used to evaluate complex model behaviors, yet their design introduces failure modes absent in conventional ground-truth based benchmarks. We argue that without tight objectives and verifiable constructions, benchmark rankings can produce high-confidence rankings that are in fact largely noise. We introduce two mechanisms to diagnose these issues. Schematic adherence quantifies how much of a judge's overall verdict is explained by the explicit evaluation sc…

Powiedzcie mi, czy jedzenie w toalecie jest aż tak popularne, by w każdej montować po dwa przyciski do dozowania sosu?
#GłupiePytania

Für Bergrettungseinsätze: eVTOL Jetson One hält starken Winden stand
Jetson hat sein einsitziges eVTOL Jetson One für den Einsatz bei Bergrettungsmissionen getestet. Die Tests in Polen verliefen vielversprechend.

GLARE: Agentic Reasoning for Legal Judgment Prediction
Xinyu Yang, Chenlong Deng, Zhicheng Dou
https://arxiv.org/abs/2508.16383 https://arxiv.org/pdf/2508.…

GLARE: Agentic Reasoning for Legal Judgment Prediction
Legal judgment prediction (LJP) has become increasingly important in the legal field. In this paper, we identify that existing large language models (LLMs) have significant problems of insufficient reasoning due to a lack of legal knowledge. Therefore, we introduce GLARE, an agentic legal reasoning framework that dynamically acquires key legal knowledge by invoking different modules, thereby improving the breadth and depth of reasoning. Experiments conducted on the real-world dataset verify the…