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"Growing trees for shade has ‘enormous’ potential for cutting cocoa emissions"
#Trees #Emissions #Chocolate

Growing trees for shade has ‘enormous’ potential for cutting cocoa emissions - Carbon Brief
Growing tall trees to provide shade for cocoa plantations in west Africa could sequester millions of tonnes of carbon, according to a new study.

For millions in US mobile home parks, clean and safe tap water isn't a given
https://phys.org/news/2025-07-millions-mobile-home-safe-isnt.html

VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction
Hao Wang, Eiki Murata, Lingfang Zhang, Ayako Sato, So Fukuda, Ziqi Yin, Wentao Hu, Keisuke Nakao, Yusuke Nakamura, Sebastian Zwirner, Yi-Chia Chen, Hiroyuki Otomo, Hiroki Ouchi, Daisuke Kawahara
https://arxiv.org/abs/2509.19002

The Trump administration has indicated it may withhold tens of millions of dollars in election security funding if states don't comply with its voting policy goals.
About $28 million — or 3% of the overall Homeland Security Grant Program — is devoted to election security and now at risk,
though some officials and experts worry that the new requirements could also endanger hundreds of millions of dollars in other grants for law enforcement.
The potential withholding of fun…

What #libre #IDE (integrated development environment for programming code) would y'all want to coalesce around using, supporting, and developing? Asking especially for coding websites and applications with #PHP,

Daydream, which raised a $50M seed in June 2024 to build a generative AI shopping agent for fashion, launches in beta, with an app expected later this summer (Hilary Milnes/Vogue Business)
https://www.voguebusiness.com/story/techno

Is Daydream’s AI platform the answer to fashion’s discovery problem?
Founder Julie Bornstein raised $50 million last year to create the ultimate AI shopping experience. Today, it launches in beta.

One Agent to Serve All: a Lite-Adaptive Stylized AI Assistant for Millions of Multi-Style Official Accounts
Xingyu Fan, Feifei Li, Wenhui Que, Hailong Li
https://arxiv.org/abs/2509.17788

One Agent to Serve All: a Lite-Adaptive Stylized AI Assistant for Millions of Multi-Style Official Accounts
Conversational agents deployed in industrial-scale official account platforms must generate responses that are both contextually grounded and stylistically aligned-requirements that existing methods struggle to meet. Chain-of-thought (CoT) prompting induces significant latency due to multi-turn reasoning; per-account fine-tuning is computationally prohibitive; and long prompt-based methods degrade the model's ability to grasp injected context and style. In this paper, we propose WeStar, a lite-…

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
Zixuan Wang, Jinghao Shi, Hanzhong Liang, Xiang Shen, Vera Wen, Zhiqian Chen, Yifan Wu, Zhixin Zhang, Hongyu Xiong
https://arxiv.org/abs/2507.17204

Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation
Effective content moderation is essential for video platforms to safeguard user experience and uphold community standards. While traditional video classification models effectively handle well-defined moderation tasks, they struggle with complicated scenarios such as implicit harmful content and contextual ambiguity. Multimodal large language models (MLLMs) offer a promising solution to these limitations with their superior cross-modal reasoning and contextual understanding. However, two key ch…

House Speaker Mike Johnson claimed in a post on X,
“JUST SIX MONTHS into President Trump’s second term, America is safer, stronger, and more prosperous”
—despite ample evidence to the contrary.
Meanwhile, the White House posted an absurd cartoon depicting a slimmed-down Trump with $100 bills and bald eagles flying in the air around him,
plus a nearly two-minute-long video that touted his alleged accomplishments.
But millions of Americans would disagree with those …

Six Months in, Trump Has Made American Life Immeasurably Worse
Dismantling the federal government, yanking support for poor and working-class Americans, and emboldening extremism have been among his accomplishments so far.

WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification
Yiwen Jiang, Deval Mehta, Siyuan Yan, Yaling Shen, Zimu Wang, Zongyuan Ge
https://arxiv.org/abs/2509.17740

WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification
Multimodal Large Language Models (MLLMs) have shown promise in visual-textual reasoning, with Multimodal Chain-of-Thought (MCoT) prompting significantly enhancing interpretability. However, existing MCoT methods rely on rationale-rich datasets and largely focus on inter-object reasoning, overlooking the intra-object understanding crucial for image classification. To address this gap, we propose WISE, a Weak-supervision-guided Step-by-step Explanation method that augments any image classificatio…