Tootfinder

Judge calls for Justice Dept. whistleblower to testify in migrant planes case (Steve Thompson/Washington Post)
https://www.washingtonpost.com/politics/2025/12/08/boasberg-ruling-whistleblower-testify/
http://www.memeorandum.com/251208/p131#a251208p131

THE MILITARY OFFICER CORPS DEFIED TRUMP ON SEPTEMBER 30th; IT WILL NOT ABANDON THE AMERICAN PEOPLE TO A DICTATORSHIP; IT WILL OPPOSE IT WITH THEIR LIVES AND SACRED HONOR https://thewestpointhistoryprofessor.substack.com/p/the-military-officer-corps-defied

THE MILITARY OFFICER CORPS DEFIED TRUMP ON SEPTEMBER 30th; IT WILL NOT ABANDON THE AMERICAN PEOPLE TO A DICTATORSHIP; IT WILL OPPOSE IT WITH THEIR LIVES AND SACRED HONOR
THE THREE PRECEDENTS WHERE THE U,S ARMY DEFIED A SITTING PRESIDENT AND AGGRESSIVELY ACTED TO DEFEND THE CONSTITUTIONAL GOVERNMENT. WE DISCUSS THE FIRST EXAMPLE TODAY. BUT FIRST A SIDEBAR.

The lattices $\textbf m\times\textbf 2$ and $\textbf m\times\textbf 3$ are not Schur positive
David G. L. Wang, K. Zhang
https://arxiv.org/abs/2510.03116 https://

The lattices $\textbf m\times\textbf 2$ and $\textbf m\times\textbf 3$ are not Schur positive
We prove that the lattices $\textbf m\times\textbf 2$ and $\textbf m\times\textbf 3$ are not Schur positive for $m\ge 8$. This confirms a conjecture of Li, Qiu, Yang, and Zhang, as an extension of counterexamples to a comment of Stanley on the universal Schur positivity of distributive lattices. Our main tools include Pieri's rules, and Wang and Wang's combinatorial formula for computing any Schur coefficient of the chromatic symmetric function of a graph in terms of special ribbon tabloids. We…

Judge James E. Boasberg said he wants to hear from former Justice Dept. attorney Erez Reuveni
in an inquiry over whether Trump administration officials should be referred for prosecution
for disobeying a court order that temporarily barred two airplanes carrying Venezuelan detainees from proceeding to El Salvador.

In a confrontation between the Trump administration and the federal judiciary,
revived after a months-long delay for appeals,
Chief U.S. District Jud…

Judge calls for Justice Dept. whistleblower to testify in migrant planes case
Chief U.S. District Judge James E. Boasberg of the District of Columbia has scheduled the former Justice Department attorney to appear in court on Dec. 15.

Heptapod: Language Modeling on Visual Signals
Yongxin Zhu, Jiawei Chen, Yuanzhe Chen, Zhuo Chen, Dongya Jia, Jian Cong, Xiaobin Zhuang, Yuping Wang, Yuxuan Wang
https://arxiv.org/abs/2510.06673

Heptapod: Language Modeling on Visual Signals
We introduce Heptapod, an image autoregressive model that adheres to the foundational principles of language modeling. Heptapod employs \textbf{causal attention}, \textbf{eliminates reliance on CFG}, and \textbf{eschews the trend of semantic tokenizers}. Our key innovation is \textit{next 2D distribution prediction}: a causal Transformer with reconstruction-focused visual tokenizer, learns to predict the distribution over the entire 2D spatial grid of images at each timestep. This learning obje…

Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment
Ziyi Chen, Junyi Li, Peiran Yu, Heng Huang
https://arxiv.org/abs/2510.05526

Provably Mitigating Corruption, Overoptimization, and Verbosity Simultaneously in Offline and Online RLHF/DPO Alignment
Reinforcement learning from human feedback (RLHF) and direct preference optimization (DPO) are important techniques to align large language models (LLM) with human preference. However, the quality of RLHF and DPO training is seriously compromised by \textit{\textbf{C}orrupted} preference, reward \textit{\textbf{O}veroptimization}, and bias towards \textit{\textbf{V}erbosity}. To our knowledge, most existing works tackle only one of these important issues, and the few other works require much co…

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TESTIFY. Yao Ming was legendary. So fun to watch. Take it from Cuttino: Once he understood the assignment, Yao dunking on everyone & even blocking Shaq.
▶️ Cuttino Mobley How Yao Ming Ruined Our Summer
https://youtube.com/shorts/D1DUE9gylM0?si=mk_X4TG-D8tDwIs2<…

Learning Global Representation from Queries for Vectorized HD Map Construction
Shoumeng Qiu, Xinrun Li, Yang Long, Xiangyang Xue, Varun Ojha, Jian Pu
https://arxiv.org/abs/2510.06969

Learning Global Representation from Queries for Vectorized HD Map Construction
The online construction of vectorized high-definition (HD) maps is a cornerstone of modern autonomous driving systems. State-of-the-art approaches, particularly those based on the DETR framework, formulate this as an instance detection problem. However, their reliance on independent, learnable object queries results in a predominantly local query perspective, neglecting the inherent global representation within HD maps. In this work, we propose \textbf{MapGR} (\textbf{G}lobal \textbf{R}epresent…

(Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Memorization Assessment for LLMs
Jiashu Tao, Reza Shokri
https://arxiv.org/abs/2510.05582 https://

(Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Memorization Assessment for LLMs
Machine learning models are known to leak sensitive information, as they inevitably memorize (parts of) their training data. More alarmingly, large language models (LLMs) are now trained on nearly all available data, which amplifies the magnitude of information leakage and raises serious privacy risks. Hence, it is more crucial than ever to quantify privacy risk before the release of LLMs. The standard method to quantify privacy is via membership inference attacks, where the state-of-the-art ap…