Tootfinder

Mass-to-Horizon Relation and Entropy Beyond the Bekenstein-Hawking Limit
Hussain Gohar
https://arxiv.org/abs/2510.07587 https://arxiv.org/pdf/2510.07587

Mass-to-Horizon Relation and Entropy Beyond the Bekenstein-Hawking Limit
We introduce a generalized mass-horizon relation applicable to cosmological horizons. This formulation provides a unified framework for deriving a broad class of Bekenstein entropy extensions motivated by statistical mechanics, quantum gravity, and phenomenological considerations, through the application of the Clausius relation together with the Hawking temperature. We further introduce this notion as a foundational framework for constructing generalized entropy forms that remain consistent wi…

Uncovering Scaling Laws for Large Language Models via Inverse Problems
Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
https://

Uncovering Scaling Laws for Large Language Models via Inverse Problems
Large Language Models (LLMs) are large-scale pretrained models that have achieved remarkable success across diverse domains. These successes have been driven by unprecedented complexity and scale in both data and computations. However, due to the high costs of training such models, brute-force trial-and-error approaches to improve LLMs are not feasible. Inspired by the success of inverse problems in uncovering fundamental scientific laws, this position paper advocates that inverse problems can …

Chair of MoCo Planning Board advocates single-stairway building code reform. https://ggwash.org/view/100397/how-rethinking-stairwells-could-boost-housing-in-montgomery-county

join the DSA SF social housing reading group!!
next Tuesday 7/22 7pm in person
#sfPol

Social Housing Reading Group
What could social housing look like in San Francisco, and how do we get there? Join DSASF for a reading of the Budget and Legislative Analyst's report on how the city can build its own publicly owned, deeply affordable housing. We will also read the SF Berniecrats report, Housing for the 99%, which lays out a vision for social housing for all in San Francisco.

Florida Education Chief Threatens Salaries Of County School Board Over Post Cheering Hulk Hogan's Death - Joe.My.God.
https://www.joemygod.com/2025/08/florida-education-chief-threatens-salaries-of-county-school-board-over-post-cheering-hulk-hogans-death/

SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing
Hongyi Jing, Jiafu Chen, Chen Rao, Ziqiang Dang, Jiajie Teng, Tianyi Chu, Juncheng Mo, Shuo Fang, Huaizhong Lin, Rui Lv, Chenguang Ma, Lei Zhao
https://arxiv.org/abs/2509.04908

SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing
The existing Multimodal Large Language Models (MLLMs) for GUI perception have made great progress. However, the following challenges still exist in prior methods: 1) They model discrete coordinates based on text autoregressive mechanism, which results in lower grounding accuracy and slower inference speed. 2) They can only locate predefined sets of elements and are not capable of parsing the entire interface, which hampers the broad application and support for downstream tasks. To address the a…

Utilised the time to bake another bread today. I did so yesterday as well but I took it out of the oven too early. 😕
This now looks waaays better. I'm curious about the taste and consistency.
And yes, in this regard I'm a typical German: bread is really a thing for me.
(So, I wasn't 'Breaking Bad' but 'Baking Bread'. 😉)
#baking

NLP Methods for Detecting Novel LLM Jailbreaks and Keyword Analysis with BERT
John Hawkins, Aditya Pramar, Rodney Beard, Rohitash Chandra
https://arxiv.org/abs/2510.01644 https:…

NLP Methods for Detecting Novel LLM Jailbreaks and Keyword Analysis with BERT
Large Language Models (LLMs) suffer from a range of vulnerabilities that allow malicious users to solicit undesirable responses through manipulation of the input text. These so-called jailbreak prompts are designed to trick the LLM into circumventing the safety guardrails put in place to keep responses acceptable to the developer's policies. In this study, we analyse the ability of different machine learning models to distinguish jailbreak prompts from genuine uses, including looking at our abi…

#CateringToCruelty but not actually addressing root causes. But ignoring reality is a #47Hallmark.

#CateringToCruelty but not actually addressing root causes. But ignoring reality is a #47Hallmark.