Tootfinder

Interesting move. "EU leaders try to out-bully Trump, floating world trade club without US"
https://www.politico.eu/article/eu-leaders-donald-trump-us-trade-tariffs-ursula-von-der-leyen/

EU leaders try to out-bully Trump, floating world trade club without US
Ursula von der Leyen suggests EU could join forces with the Asian-Pacific trade bloc as Europe tries to up its game.

Trump urges Thailand, Cambodia ceasefire with trade talk (Bart Jansen/USA Today)
https://www.usatoday.com/story/news/world/2025/07/26/trump-thailand-cambodia-border-dispute-trade/85389013007/
http://www.memeorandum.com/250726/p50#a250726p50

Pretty amazing. And yet, the majority of Americans won’t see this story because the truth is paywalled but the bullshit is free. Which feels more and more to me like one of the world’s most important problems.
https://masto.ai/@Nonilex/114580574368958399

Scottie Scheffler, admitted Cowboys fan, would do unthinkable for Super Bowl win https://cowboyswire.usatoday.com/story/sports/nfl/2025/07/25/scottie-scheffler-would-trade-major-championship-for-super-bowl/85…

Dive into semantic reranking at Berlin Buzzwords 2025! Athanasios Papaoikonomou will explore how different models and reranking depths impact search performance, revealing important patterns and the real-world efficiency vs. effectiveness trade-off.
Learn more: https://

Exploring reranking depth in modern search pipelines
The use of semantic reranking on top of a ‘cheaper’ retrieval step becomes more and more common in modern search applications. It offers a different cost quality profile to semantic retrieval trading indexing time compute for retrieval time compute. The depth represents the number of documents that we select to retrieve and feed into the reranking model in order to optimise their ordering. Intuitively, there is a “natural” trade-off between the uplift we can achieve by operating on an i…

It’s a vicious cycle:
Pumping for groundwater is dehydrating our world.
And yet, people take more water from underground due to need, when climate-driven heat and drought are at their worst.
https://www.propublica.org/article/water-aquifers-gro…

“Staggering” Water Loss Driven by Groundwater Mining Poses Global Threat
A new study finds that freshwater resources are rapidly disappearing, creating arid “mega” regions and causing sea levels to rise.

The recording of my @… presentation "All the DataOps, all the paradigms" is now online. I have observed that most teams are not aware of differences between data processing paradigms and their practical consequences, so I tried to contribute some order and structure. As usual, I tried to squeeze in too much and rambled, but I hope that it i…

"by April of 2024 Gaza had already suffered more than 70,000 tonnes of bombing. To put that in perspective, that is more than the combined bomb tonnage dropped on Dresden, Hamburg, and London in World War II. Now more than a year later, that bombing has only increased. It is no surprise, therefore, that UN Humanitarian Chief Martin Griffiths declared Gaza “uninhabitable” due to the bombing, destruction, blockades, and subsequent famines"

NYT Whitewashes Genocide, Again
In an OpEd, Columnist Bret Stephens takes a sledgehammer to truth & humanity to justify a live streamed genocide—we rebuke his propaganda in full

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
https://arxiv.org/abs/2506.20606

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
Agents based on Large Language Models (LLMs) have demonstrated strong capabilities across a wide range of tasks. However, deploying LLM-based agents in high-stakes domains comes with significant safety and ethical risks. Unethical behavior by these agents can directly result in serious real-world consequences, including physical harm and financial loss. To efficiently steer the ethical behavior of agents, we frame agent behavior steering as a model editing task, which we term Behavior Editing. …

How #Vietnam bets on serving the #Trump organization. Despicable, including land evictions—not particularly a thing the Vietnamese people fancy.