Tootfinder

Last month, DHS claimed that ICE had shot and killed “a criminal illegal alien with a history of reckless driving,” while trying to detain him
—but a closer look found that the man had no criminal history, and his last traffic violation was in 2013.
DHS also claimed that the ICE agent responsible for the shooting had been “seriously injured” in the line of duty,
but bodycam videos from shortly after the incident showed the agent describing his injuries as
“nothing m…

“Do Something B*tch”: Damning Video Shows CBP Agent Shooting Protester
The Department of Homeland Security initially said the agent had shot the woman five times in self-defense.

Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
Aksel Joonas Reedi, Corentin L\'eger, Julien Pourcel, Loris Gaven, Perrine Charriau, Guillaume Pourcel
https://arxiv.org/abs/2510.05909

Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
Large Language Models (LLMs) optimized to output truthful answers often overfit, producing brittle reasoning that fails to generalize. While persuasion-based optimization has shown promise in debate settings, it has not been systematically compared against mainstream truth-based approaches. We introduce DebateQD, a minimal Quality-Diversity (QD) evolutionary algorithm that evolves diverse debate strategies across different categories (rationality, authority, emotional appeal, etc.) through tour…

PwC's US boss Paul Griggs says PwC decided to "lean in" to crypto work after years of taking a more cautious stance, following Trump's embrace of digital assets (Stephen Foley/Financial Times)
https://www.ft.com/content/5e1448bc-11a2-4229-bb5c-1a322a7ad217

Improved Streaming Algorithm for Fair $k$-Center Clustering
Longkun Guo, Zeyu Lin, Chaoqi Jia, Chao Chen
https://arxiv.org/abs/2510.05937 https://arxiv.org…

Improved Streaming Algorithm for Fair $k$-Center Clustering
Many real-world applications pose challenges in incorporating fairness constraints into the $k$-center clustering problem, where the dataset consists of $m$ demographic groups, each with a specified upper bound on the number of centers to ensure fairness. Focusing on big data scenarios, this paper addresses the problem in a streaming setting, where data points arrive one by one sequentially in a continuous stream. Leveraging a structure called the $λ$-independent center set, we propose a one-p…

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📷 Pentax MX
🎞️ Ilford HP5 Plus 400, expired 1993
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High- and medium-entropy nitride coatings from the Cr-Hf-Mo-Ta-W-N system: properties and high-temperature stability
Pavel Sou\v{c}ek, Stanislava Debn\'arov\'a, \v{S}\'arka Zuzjakov\'a, Shuyao Lin, Matej Fekete, Zsolt Czig\'any, Katalin Bal\'azsi, Luk\'a\v{s} Vr\'ana, Tatiana Pito\v{n}\'akov\'a, Ond\v{r}ej Ja\v{s}ek, Petr Zeman, Nikola Koutn\'a

High- and medium-entropy nitride coatings from the Cr-Hf-Mo-Ta-W-N system: properties and high-temperature stability
High- and medium-entropy nitride coatings from the Cr-Hf-Mo-Ta-W-N system were studied using ab initio calculations and experiments to clarify the role of entropy and individual elements in phase stability, microstructure, and high-temperature behaviour. Formation energy calculations indicated that nitrogen vacancies stabilise the cubic (fcc) phase, with hafnium and tantalum acting as strong stabilisers, while tungsten destabilises the lattice. Coatings were deposited by reactive magnetron sput…

Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
Batu El, James Zou
https://arxiv.org/abs/2510.06105 https://arxiv.org/pdf/2510.…

Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
Large language models (LLMs) are increasingly shaping how information is created and disseminated, from companies using them to craft persuasive advertisements, to election campaigns optimizing messaging to gain votes, to social media influencers boosting engagement. These settings are inherently competitive, with sellers, candidates, and influencers vying for audience approval, yet it remains poorly understood how competitive feedback loops influence LLM behavior. We show that optimizing LLMs …

Micron is retiring the Crucial brand,
marking the end of its line of budget-friendly solid-state drives (SSDs) and RAM kits,
In an announcement on Wednesday, Micron says winding down its consumer-focused business will
“improve supply and support for our larger, strategic customers in faster-growing segments”
— a.k.a. AI companies.

Crucial is shutting down — because Micron wants to sell its RAM and SSDs to AI companies instead
Micron is shutting down Crucial, its longstanding brand for consumer-focused RAM kits and SSDs, as it shifts its attention to supplying memory for AI companies.