Tootfinder

#oldcomputerchallenge day 3 is uploaded
gemini://gemini.jasonsanta.xyz:1965/gemlog/occ-2025/occ-day-3.gmi
I have included steps on how to get an ex…

Hegseth defends Kinglsey Wilson amid questioning about antisemitic record (Marc Rod/Jewish Insider)
https://jewishinsider.com/2025/06/defense-secretary-pete-hegseth-defends-press-secretary-kingsley-wilson-antisemitic-record/
http://www.memeorandum.com/250618/p108#a250618p108

#YasmineBleeth #JasonSimmons
Season 5 Episode 17 "Father's Day"
#RandomBaywatch

EgoPrivacy: What Your First-Person Camera Says About You?
Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos
https://arxiv.org/abs/2506.12258

EgoPrivacy: What Your First-Person Camera Says About You?
While the rapid proliferation of wearable cameras has raised significant concerns about egocentric video privacy, prior work has largely overlooked the unique privacy threats posed to the camera wearer. This work investigates the core question: How much privacy information about the camera wearer can be inferred from their first-person view videos? We introduce EgoPrivacy, the first large-scale benchmark for the comprehensive evaluation of privacy risks in egocentric vision. EgoPrivacy covers t…

QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
Jiazheng Li, Hong Lu, Kaiyue Wen, Zaiwen Yang, Jiaxuan Gao, Hongzhou Lin, Yi Wu, Jingzhao Zhang
https://arxiv.org/abs/2507.13266

QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
Reinforcement learning (RL) has become a key component in training large language reasoning models (LLMs). However, recent studies questions its effectiveness in improving multi-step reasoning-particularly on hard problems. To address this challenge, we propose a simple yet effective strategy via Question Augmentation: introduce partial solutions during training to reduce problem difficulty and provide more informative learning signals. Our method, QuestA, when applied during RL training on mat…

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes
Jiahao Qiu, Xinzhe Juan, Yimin Wang, Ling Yang, Xuan Qi, Tongcheng Zhang, Jiacheng Guo, Yifu Lu, Zixin Yao, Hongru Wang, Shilong Liu, Xun Jiang, Liu Leqi, Mengdi Wang
https://arxiv.org/abs/2506.14728

AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes
While knowledge distillation has become a mature field for compressing large language models (LLMs) into smaller ones by aligning their outputs or internal representations, the distillation of LLM-based agents, which involve planning, memory, and tool use, remains relatively underexplored. Existing agent distillation methods typically replay full teacher trajectories or imitate step-by-step teacher tool usage, but they often struggle to train student agents to dynamically plan and act in novel …

The Official Voice of the US Government Is Cruel, Gross, and Weird.
What Is That Doing to Us? 
Joking memes about imprisonment, deportation, and death by alligator are designed to radicalize and desensitize us
https://www.motherjones.com/politics/2025/

The official voice of the US government Is cruel, gross, and weird. What is that doing to us? 
Joking memes about imprisonment, deportation, and death by alligator are designed to radicalize and desensitize.

A solid-state temporally multiplexed quantum memory array at the single-photon level
Markus Teller, Susana Plascencia, Cristina Sastre Jachimska, Samuele Grandi, Hugues de Riedmatten
https://arxiv.org/abs/2507.12200

A solid-state temporally multiplexed quantum memory array at the single-photon level
The exploitation of multimodality in different degrees of freedom is one of the most promising ways to increase the rate of heralded entanglement between distant quantum nodes. In this paper, we realize a spatially-multiplexed solid-state quantum memory array with ten individually controllable spin-wave memory cells featuring on-demand read-out and temporal multiplexing. By combining spatial and temporal multiplexing, we store weak coherent pulses at the single-photon level in up to 250 spatio-…

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
Feng Xiao, Jicong Fan
https://arxiv.org/abs/2507.12295 https://

Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
Text anomaly detection is a critical task in natural language processing (NLP), with applications spanning fraud detection, misinformation identification, spam detection and content moderation, etc. Despite significant advances in large language models (LLMs) and anomaly detection algorithms, the absence of standardized and comprehensive benchmarks for evaluating the existing anomaly detection methods on text data limits rigorous comparison and development of innovative approaches. This work pe…

Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index
Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi
https://arxiv.org/abs/2506.12229

Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index
Language models are trained mainly on massive text data from the Internet, and it becomes increasingly important to understand this data source. Exact-match search engines enable searching in large text corpora -- counting string appearances and retrieving the enclosing documents -- yet the high storage overhead hinders their application on Internet-scale data. We present Infini-gram mini, an efficient and scalable system that can make petabyte-level text corpora searchable. Based on the FM-ind…