Tootfinder

It all fits. Suppose you’re corporate leadership. You’re laying people off / refusing to hire because you have no clue what things will look like even 1 or 2 years in the future, and you are •terrified•.
Meanwhile, your investors, your gullible trend-chasing investors, are already mentally dividing companies into “pre-AI” and “post-AI.” And not only do you have no idea how to be “post-AI,” but you have no idea whether you’ll be solvent next year. What do you tell them?!??
Obviously you tell them you’re not hiring because you’re having such incredible success with AI! Maybe even you’re going to lay off all the senior people! They’ll love that!
Now you’re not failing and flailing — you’re leading the march into the future! Yay!

Here’s the key point: Trump’s corruption of justice isn’t just individual; it’s categorical. We have grown accustomed to him rewarding his loyalists and punishing his critics. That he fired the prosecutors who worked on his federal criminal cases while pardoning the Jan. 6 rioters represents a textbook case of individual favoritism.
The Trump administration’s abuse of the civil rights division is something else entirely. It had already initiated a “litigation freeze” on filing new civil rights cases, and it had indicated that it was even going to reconsider previous settlements and consent decrees intended to address police misconduct.
...
Civil rights laws are designed in part to protect innocent citizens — including, of course, innocent citizens from minority communities — from unjust government officials. Here, the legal world is turned upside down. The Justice Department is using its civil rights division to protect an unjust government official who violated the civil rights of an innocent individual.
#USPolitics
https://www.nytimes.com/2025/07/20/opinion/dillon-taylor-justice-trump.html?unlocked_article_code=1.X08.0DWy.hF58YNdciy3A&smid=url-share

After reading some of the Epstein/Trump news I am getting the impression that when Trump hovered over and followed Hillary Clinton during the debates that that hovering/following was one of Trump's long-time, well practiced moves to intimidate women.
https://www.

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Tianheng Ling, Vipin Singh, Chao Qian, Felix Biessmann, Gregor Schiele
https://arxiv.org/abs/2508.13905

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management
Extreme weather events, intensified by climate change, increasingly challenge aging combined sewer systems, raising the risk of untreated wastewater overflow. Accurate forecasting of sewer overflow basin filling levels can provide actionable insights for early intervention, helping mitigating uncontrolled discharge. In recent years, AI-based forecasting methods have offered scalable alternatives to traditional physics-based models, but their reliance on cloud computing limits their reliability …

ERR@HRI 2.0 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Conversations
Shiye Cao, Maia Stiber, Amama Mahmood, Maria Teresa Parreira, Wendy Ju, Micol Spitale, Hatice Gunes, Chien-Ming Huang
https://arxiv.org/abs/2507.13468

ERR@HRI 2.0 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Conversations
The integration of large language models (LLMs) into conversational robots has made human-robot conversations more dynamic. Yet, LLM-powered conversational robots remain prone to errors, e.g., misunderstanding user intent, prematurely interrupting users, or failing to respond altogether. Detecting and addressing these failures is critical for preventing conversational breakdowns, avoiding task disruptions, and sustaining user trust. To tackle this problem, the ERR@HRI 2.0 Challenge provides a m…

#CFP: Meeting at the Crossroads: Understanding the Intersection of Rhetoric, Race, and Religion
https://ift.tt/4VDnHf3
Laurent Pernot wrote, “Religion is intimately linked with words. Everyone knows that the spoken…

#CFP: Meeting at the Crossroads: Understanding the Intersection of Rhetoric, Race, and Religion
Laurent Pernot wrote, “Religion is intimately linked with words. Everyone knows that the spoken and written word plays an essential role in religion, as language is necessarily used to address the gods or God, to speak about the divine or the sacred, and to express religious feeling or awareness”. Thus, Pernot called for an understanding of the role rhetoric plays in our expression and performance of religion.

Ryan Flynn’s documentary “You’re No Indian”, about
"tribal disenrollment",
the controversial practice of removing Indigenous people from tribal roles, will debut at the "Dances With Films Festival" on June 28.
In the film, Flynn explores how tribal disenrollment has stripped over 11,000 Native American people of their tribal membership,
thereby erasing their identities, rights and connections to their communities.
Fueled by casino profits, p…

'You’re No Indian' Doc Exposes Tribal Disenrollment
You’re No Indian' Doc that Exposes the Human Rights Crisis Behind Tribal Disenrollment to Debut at Dances With Films

Carlie Irsay-Gordon to serve as Indianapolis Colts principal owner following death of father, Jim Irsay https://www.nfl.com/news/carlie-irsay-gordon-to-serve-as-indianapolis-colts-principal-owner-following-d…

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Shanfan Zhang, Yongyi Lin, Yuan Rao, Chenlong Zhang
https://arxiv.org/abs/2506.11538

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Disentangling user intentions from implicit feedback has become a promising strategy to enhance recommendation accuracy and interpretability. Prior methods often model intentions independently and lack explicit supervision, thus failing to capture the joint semantics that drive user-item interactions. To address these limitations, we propose DMICF, a unified framework that explicitly models interaction-level intent alignment while leveraging structural signals from both user and item perspectiv…

"These evangelical men saved sex for marriage – they weren’t well prepared"
In the meantime the females didn't stay home by the fire!
https://www.theguardian.com/lifeandstyle/2025/jun/17/evangelical-sex-marriage