Tootfinder

https://www.nextgov.com/people/2025/08/noem-terminates-24-fema-workers-failing-address-cyber-vulnerabilities/407807/
Noem terminates 24 FEMA workers for failing to address cyber vulnerabilities

Noem terminates 24 FEMA workers for failing to address cyber vulnerabilities
An internal FEMA email obtained by Nextgov/FCW ordered all agency employees to change their passwords “due to recent cybersecurity incidents and threats.”

DHS Secretary Kristi Noem fires 24 FEMA IT staffers, including the CIO and CISO; DHS says they failed security protocols and let hackers access FEMA networks (David DiMolfetta/Nextgov/FCW)
https://www.nextgov.com/people/2025/08/noe

Noem terminates 24 FEMA workers for failing to address cyber vulnerabilities
An internal FEMA email obtained by Nextgov/FCW ordered all agency employees to change their passwords “due to recent cybersecurity incidents and threats.”

Since St George was born in Turkey, died in Palestine and never set foot on Britain I find all of his flags going up around the UK a bit strange but am fine with it really. A nice international symbol of unity with all the other countries with him as their patron saint (Aragon, Catalonia, Georgia, Lithuania, Palestine, Portugal, Germany, Greece, Moscow, Istanbul, Genoa and Venice).
My worry is that in a year there will be really tatty flags everywhere, filling the air with microplastic…

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
Siqi Luo, Haoran Yang, Yi Xin, Mingyang Yi, Guangyang Wu, Guangtao Zhai, Xiaohong Liu
https://arxiv.org/abs/2507.22872

TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
Large pre-trained models achieve remarkable performance in vision tasks but are impractical for fine-tuning due to high computational and storage costs. Parameter-Efficient Fine-Tuning (PEFT) methods mitigate this issue by updating only a subset of parameters; however, most existing approaches are task-agnostic, failing to fully exploit task-specific adaptations, which leads to suboptimal efficiency and performance. To address this limitation, we propose Task-Relevant Parameter and Token Select…

RecGPT Technical Report
Chao Yi, Dian Chen, Gaoyang Guo, Jiakai Tang, Jian Wu, Jing Yu, Sunhao Dai, Wen Chen, Wenjun Yang, Yuning Jiang, Zhujin Gao, Bo Zheng, Chi Li, Dimin Wang, Dixuan Wang, Fan Li, Fan Zhang, Haibin Chen, Haozhuang Liu, Jialin Zhu, Jiamang Wang, Jiawei Wu, Jin Cui, Ju Huang, Kai Zhang, Kan Liu, Lang Tian, Liang Rao, Longbin Li, Lulu Zhao, Mao Zhang, Na He, Peiyang Wang, Qiqi Huang, Tao Luo, Wenbo Su, Xiaoxiao He, Xin Tong, Xu Chen, Xunke Xi, Yang Li, Yaxuan Wu, Yeqiu…

RecGPT Technical Report
Recommender systems are among the most impactful applications of artificial intelligence, serving as critical infrastructure connecting users, merchants, and platforms. However, most current industrial systems remain heavily reliant on historical co-occurrence patterns and log-fitting objectives, i.e., optimizing for past user interactions without explicitly modeling user intent. This log-fitting approach often leads to overfitting to narrow historical preferences, failing to capture users' evo…

Rethinking Layer-wise Model Merging through Chain of Merges
Pietro Buzzega, Riccardo Salami, Angelo Porrello, Simone Calderara
https://arxiv.org/abs/2508.21421 https://

Rethinking Layer-wise Model Merging through Chain of Merges
Fine-tuning pretrained models has become a standard pathway to achieve state-of-the-art performance across a wide range of domains, leading to a proliferation of task-specific model variants. As the number of such specialized modules in-creases, merging them into a unified model without retraining has become a critical challenge. Existing merging techniques often rely on interference heuristics,importance weighting, or activation matching while treating each layer independently, thereby failing…

Federal Reserve Governor
Lisa Cook's lawyer
has filed a lawsuit against Trump
following his unprecedented attempt to fire her on Monday.
Many experts fear that the president's latest action could spell the end of the Fed's independence.

How do Monarch butterflies survive?
I've planted several California native milkweeds - the Monarchs have a definite preference for it. (It's fun to work in the garden and have Monarchs flying around me.)
Eventually the milkweeds are covered by very healthy looking, strikingly patterned caterpillars. The caterpillars consume the milkweed plant until the plant is a leafless hulk. And the caterpillars vanish.
But I have yet to see a chrysalis.
I'm going to…

Characterizing Small Circuit Classes from FAC^0 to FAC^1 via Discrete Ordinary Differential Equations
Melissa Antonelli, Arnaud Durand, Juha Kontinen
https://arxiv.org/abs/2506.23404

Characterizing Small Circuit Classes from FAC^0 to FAC^1 via Discrete Ordinary Differential Equations
In this paper, we provide a uniform framework for investigating small circuit classes and bounds through the lens of ordinary differential equations (ODEs). Following an approach recently introduced to capture the class of polynomial-time computable functions via ODE-based recursion schemas and later applied to the context of functions computed by unbounded fan-in circuits of constant depth (FAC^0), we study multiple relevant small circuit classes. In particular, we show that natural restrictio…

A surge in AI company valuations is driving the popularity of special purpose vehicles, but some involve high fees, opaque structures, and layers of middlemen (Business Insider)
https://africa.businessinsider.com/mar

Investors warn AI FOMO could be fueling a risky bubble in companies like OpenAI and Anthropic
As AI valuations soar into the hundreds of billions, a parallel market of temporary financial shells is proliferating to meet investor FOMO, and many investors are starting to sound the alarm bells that it portends a bubble in the AI gold rush