Tootfinder

The media is largely ignoring the trauma of millions. Here's why. (Margaret Sullivan/American Crisis)
https://margaretsullivan.substack.com/p/the-media-is-largely-ignoring-the
http://www.memeorandum.com/251014/p54#a251014p54

'Full collapse': Ohio farmers lose $76 million in sales due largely to Trump - Alternet.org
https://www.alternet.org/ohio-farmers-trump-2674402890/

About 40 to 50 Pentagon reporters turned in access badges and exited the Pentagon rather than agree to new US government-imposed restrictions on their work (David Bauder/Associated Press)
https://apnews.com/article/pentagon-press-a…

Journalists exit Pentagon rather than agree to new reporting rules
Journalists at the Pentagon turned in access badges and cleaned out their workspaces, the price for refusing to agree to new restrictions on their jobs at the seat of U.S. military power. The refusal was near-unanimous, from trade publications, wire services, television networks and newspapers, and included outlets that appeal largely to conservatives like Fox News Channel and Newsmax. Many of the reporters chose to turn in their badges together at the 4 p.m. deadline set by the Defense Departm…

reading more about the energia rockets at https://russianspaceweb.com

Old growth threatened by logging increases in BC
The Narwhal reports on a new study by Sierra Club BC that finds efforts to protect old growth forests in BC have largely failed since the ruling centrist NDP party has been in charge starting in 2013. The report found that "13,000 football fields worth of old-growth deferral zones were logged" in the past 4 years in BC. Meanwhile, premier David Eby has urged forestry production in BC to increase by 50% over 2024 levels.
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BC Old-Growth | Wilderness Committee
Protecting old-growth forests isn’t just about saving trees; it’s about preserving incredibly rare ecosystems.

Global lead exposure still costs trillions and endangers children, study finds #environment

Global lead exposure still costs trillions and endangers children, study finds
Lead poisoning was once thought to largely be a problem of the past, as the globe gradually weaned itself off leaded gasoline in road vehicles in 2021. But has global lead pollution truly been resolved?

🇺🇦 #NowPlaying on KEXP's #SonicReducer
V.V.M.:
🎵 Sacrifice
#VVM
https://lowerechelonrecords.bandcamp.com/track/v-v-m-sacrifice

One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
Zaid Khan, Archiki Prasad, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
https://arxiv.org/abs/2510.12088

One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
Symbolic world modeling requires inferring and representing an environment's transitional dynamics as an executable program. Prior work has focused on largely deterministic environments with abundant interaction data, simple mechanics, and human guidance. We address a more realistic and challenging setting, learning in a complex, stochastic environment where the agent has only "one life" to explore a hostile environment without human guidance. We introduce OneLife, a framework that models world…

TerraCodec: Compressing Earth Observations
Julen Costa-Watanabe, Isabelle Wittmann, Benedikt Blumenstiel, Konrad Schindler
https://arxiv.org/abs/2510.12670 https://

TerraCodec: Compressing Earth Observations
Earth observation (EO) satellites produce massive streams of multispectral image time series, posing pressing challenges for storage and transmission. Yet, learned EO compression remains fragmented, lacking publicly available pretrained models and misaligned with advances in compression for natural imagery. Image codecs overlook temporal redundancy, while video codecs rely on motion priors that fail to capture the radiometric evolution of largely static scenes. We introduce TerraCodec (TEC), a …

MedicalOS: An LLM Agent based Operating System for Digital Healthcare
Jared Zhu, Junde Wu
https://arxiv.org/abs/2509.11507 https://arxiv.org/pdf/2509.11507…

MedicalOS: An LLM Agent based Operating System for Digital Healthcare
Decades' advances in digital health technologies, such as electronic health records, have largely streamlined routine clinical processes. Yet, most these systems are still hard to learn and use: Clinicians often face the burden of managing multiple tools, repeating manual actions for each patient, navigating complicated UI trees to locate functions, and spending significant time on administration instead of caring for patients. The recent rise of large language model (LLM) based agents demonstr…