Environment Agriculture The'Farmer's Almanac' says goodbye after 208 years The 2026 edition will be its last. Breakthroughs, discoveries, and DIY tips sent every weekday. After more than 200 years of weather wisdom, folklore, and time-tested advice, editors announced that the 2026 will be the last edition. The website will remain operational through the end of December 2025. "Many of you grew up hearing your parents or grandparents quote from the, always having a copy nearby. Maybe you have planted by our Moon phases, consulted the for the'Best Days' to potty train, wean, or go fishing," Editor Sandi Duncan and Editor Emeritus Peter Geiger wrote in the announcement.

Apple's iOS 26.1 update fixes over 50 security vulnerabilities in Safari, Photos and Apple Account settings while adding stronger privacy controls and performance improvements.

America's flight-mare begins as more than 700 departures ALREADY canceled across US and Trump steps in to end the shutdown Multiple people hospitalized from'white powder' as suspicious package with'political propaganda' sparks evacuation at Joint Base Andrews Prince Harry apologises to Canada over baseball cap'Hatgate' - and adds a joke about thinning on top Alix Earle suffers'total humiliation' at hands of her stepmom: Family insiders reveal former escort's betrayal that they fear will now'completely break' star Jeremy Renner's film partner claims he sent her explicit photos and videos to woo her then threatened the unthinkable when they fell out Moment Prince William refuses to be drawn on Andrew scandal and Harry and Meghan rift as he tells CNN: 'I want to surround myself with people who want to do good' Melania Trump stuns as she accepts'Patriot of the Year' award and issues inspiring message to Americans Elon Musk used biometric data from employees to program'sexy' chatbot during epic quest to win AI arms race Sydney Sweeney wins patriotic hearts with stunning response to criticism of her'good genes' ad Ritzy suburb of NJ's new governor stunned as cops pounce on'yuppie jihadi' neighbor at his $1.2M home over alleged bomb plot Iconic golf ball-sized Florentine diamond once owned by Medici and Habsburg dynasties is FOUND in unusual location 100 years after'vanishing' My addiction to ADHD medication ruined me. I had to choose to either abort my baby or lose my own life... but that was just the start Distressing red flags before Dallas Cowboys star's sudden death at 24 - revealed by roommate who shares harrowing backstory... including recent family tragedy Real-life horror as progressives elect convicted KILLER as councilmember of Maine town that inspired Stephen King's It Israeli hostage who revealed sexual abuse by his captors details full horror he endured: 20-minute torture seven times a day, made to dance, blindfolded with stones in his ears for weeks - 'I have met the Devil' It triggered an earthquake across America. Now, TUCKER CARLSON gives an astonishing defense of the interview that nearly destroyed him... and what he wished he'd known first READ MORE: Gen Z are'rawdogging boredom' to fix their attention spans TikTok has given rise to many strange trends over the years - from'rawdogging boredom' to the viral'turtle rabbit' choreography . While most trends are harmless fun, experts have raised concerns about others - including some that have proved deadly. In a new report, the Omega Law Group has highlighted five of the most dangerous trends that have swept social media in recent years.

America's flight-mare begins as more than 700 departures ALREADY canceled across US and Trump steps in to end the shutdown Israeli hostage who revealed sexual abuse by his captors details full horror he endured: 20-minute torture seven times a day, made to dance, blindfolded with stones in his ears for weeks - 'I have met the Devil' Prince Harry apologises to Canada over baseball cap'Hatgate' - and adds a joke about thinning on top Alix Earle suffers'total humiliation' at hands of her stepmom: Family insiders reveal former escort's betrayal that they fear will now'completely break' star Jeremy Renner's film partner claims he sent her explicit photos and videos to woo her then threatened the unthinkable when they fell out Moment Prince William refuses to be drawn on Andrew scandal and Harry and Meghan rift as he tells CNN: 'I want to surround myself with people who want to do good' Ritzy suburb of NJ's new governor stunned as cops pounce on'yuppie jihadi' neighbor at his $1.2M home over alleged bomb plot Elon Musk used biometric data from employees to program'sexy' chatbot during epic quest to win AI arms race Sydney Sweeney wins patriotic hearts with stunning response to criticism of her'good genes' ad Melania Trump stuns as she accepts'Patriot of the Year' award and issues inspiring message to Americans Iconic golf ball-sized Florentine diamond once owned by Medici and Habsburg dynasties is FOUND in unusual location 100 years after'vanishing' My addiction to ADHD medication ruined me. I had to choose to either abort my baby or lose my own life... but that was just the start Distressing red flags before Dallas Cowboys star's sudden death at 24 - revealed by roommate who shares harrowing backstory... including recent family tragedy Real-life horror as progressives elect convicted KILLER as councilmember of Maine town that inspired Stephen King's It Multiple people hospitalized at Joint Base Andrews as suspicious package containing'white powder' and political message sparks evacuation - one day after Trump's visit My best friend became my bully, says CATHERINE RENTON. She called me fat and then traduced me. It's taboo to say, but the consequences ruined my life. No one's honest about what childhood bullying really does Now that's what you call a blast from the past!

America's flight-mare begins as more than 700 departures ALREADY canceled across US and Trump steps in to end the shutdown Multiple people hospitalized from'white powder' as suspicious package with'political propaganda' sparks evacuation at Joint Base Andrews Prince Harry apologises to Canada over baseball cap'Hatgate' - and adds a joke about thinning on top Alix Earle suffers'total humiliation' at hands of her stepmom: Family insiders reveal former escort's betrayal that they fear will now'completely break' star Jeremy Renner's film partner claims he sent her explicit photos and videos to woo her then threatened the unthinkable when they fell out Moment Prince William refuses to be drawn on Andrew scandal and Harry and Meghan rift as he tells CNN: 'I want to surround myself with people who want to do good' Melania Trump stuns as she accepts'Patriot of the Year' award and issues inspiring message to Americans Elon Musk used biometric data from employees to program'sexy' chatbot during epic quest to win AI arms race Sydney Sweeney wins patriotic hearts with stunning response to criticism of her'good genes' ad Frail Bruce Willis, 70, holds carer's hand on very rare public outing amid heartbreaking dementia battle Iconic golf ball-sized Florentine diamond once owned by Medici and Habsburg dynasties is FOUND in unusual location 100 years after'vanishing' My addiction to ADHD medication ruined me. I had to choose to either abort my baby or lose my own life... but that was just the start Distressing red flags before Dallas Cowboys star's sudden death at 24 - revealed by roommate who shares harrowing backstory... including recent family tragedy Real-life horror as progressives elect convicted KILLER as councilmember of Maine town that inspired Stephen King's It It triggered an earthquake across America. Now, TUCKER CARLSON gives an astonishing defense of the interview that nearly destroyed him... and what he wished he'd known first Stone of Destiny mystery is SOLVED: Scientist traces the fate of 17 missing fragments of the rock used in King Charles' coronation A researcher has managed to trace the fate of the missing fragments of the Stone of Destiny, a powerful symbol of the British monarchy. It has been placed under the coronation chair for the crowning of kings and queens since the 13th century, including Charles III in May 2023 . Professor Sally Foster, an archaeologist at Stirling University, says there are 34 small fragments of the centuries-old object, also known as Stone of Scone, circulated around the world.

Cooperative multi-agent planning requires agents to make joint decisions with partial information and limited communication. Coordination at the trajectory level often fails, as small deviations in timing or movement cascade into conflicts. Symbolic planning mitigates this challenge by raising the level of abstraction and providing a minimal vocabulary of actions that enable synchronization and collective progress. We present DR. WELL, a decentralized neurosymbolic framework for cooperative multi-agent planning. Cooperation unfolds through a two-phase negotiation protocol: agents first propose candidate roles with reasoning and then commit to a joint allocation under consensus and environment constraints. After commitment, each agent independently generates and executes a symbolic plan for its role without revealing detailed trajectories. Plans are grounded in execution outcomes via a shared world model that encodes the current state and is updated as agents act. By reasoning over symbolic plans rather than raw trajectories, DR. WELL avoids brittle step-level alignment and enables higher-level operations that are reusable, synchronizable, and interpretable. Experiments on cooperative block-push tasks show that agents adapt across episodes, with the dynamic world model capturing reusable patterns and improving task completion rates and efficiency. Experiments on cooperative block-push tasks show that our dynamic world model improves task completion and efficiency through negotiation and self-refinement, trading a time overhead for evolving, more efficient collaboration strategies.

"Thinking with Text" and "Thinking with Images" paradigm significantly improve the reasoning ability of large language models (LLMs) and Vision Language Models (VLMs). However, these paradigms have inherent limitations. (1) Images capture only single moments and fail to represent dynamic processes or continuous changes, and (2) The separation of text and vision as distinct modalities, hindering unified multimodal understanding and generation. To overcome these limitations, we introduce "Thinking with Video", a new paradigm that leverages video generation models, such as Sora-2, to bridge visual and textual reasoning in a unified temporal framework. To support this exploration, we developed the Video Thinking Benchmark (VideoThinkBench). VideoThinkBench encompasses two task categories: (1) vision-centric tasks (e.g., Eyeballing Puzzles), and (2) text-centric tasks (e.g., subsets of GSM8K, MMMU). Our evaluation establishes Sora-2 as a capable reasoner. On vision-centric tasks, Sora-2 is generally comparable to state-of-the-art (SOTA) VLMs, and even surpasses VLMs on several tasks, such as Eyeballing Games. On text-centric tasks, Sora-2 achieves 92% accuracy on MATH, and 75.53% accuracy on MMMU. Furthermore, we systematically analyse the source of these abilities. We also find that self-consistency and in-context learning can improve Sora-2's performance. In summary, our findings demonstrate that the video generation model is the potential unified multimodal understanding and generation model, positions "thinking with video" as a unified multimodal reasoning paradigm.

Modeling user preferences across domains remains a key challenge in slate recommendation (i.e. recommending an ordered sequence of items) research. We investigate how Large Language Models (LLM) can effectively act as world models of user preferences through pairwise reasoning over slates. We conduct an empirical study involving several LLMs on three tasks spanning different datasets. Our results reveal relationships between task performance and properties of the preference function captured by LLMs, hinting towards areas for improvement and highlighting the potential of LLMs as world models in recommender systems.

We study a model of subscription-based platforms where users pay a fixed fee for unlimited access to content, and creators receive a share of the revenue. Existing approaches to detecting fraud predominantly rely on machine learning methods, engaging in an ongoing arms race with bad actors. We explore revenue division mechanisms that inherently disincentivize manipulation. We formalize three types of manipulation-resistance axioms and examine which existing rules satisfy these. We show that a mechanism widely used by streaming platforms, not only fails to prevent fraud, but also makes detecting manipulation computationally intractable. We also introduce a novel rule, ScaledUserProp, that satisfies all three manipulation-resistance axioms. Finally, experiments with both real-world and synthetic streaming data support ScaledUserProp as a fairer alternative compared to existing rules.

ABSTRACT V ariational Autoencoders (V AEs) are essential for large-scale audio tasks like diffusion-based generation. To address these challenges, we propose ϵar-V AE, an open-source music signal reconstruction model that rethinks and optimizes the V AE training paradigm. Our contributions are threefold: (i) A K-weighting perceptual filter applied prior to loss calculation to align the objective with auditory perception. Experiments show ϵar-V AE at 44.1kHz substantially outperforms leading open-source models across diverse metrics, showing particular strength in reconstructing high-frequency harmonics and the spatial characteristics. Index T erms-- V AE, Music, Phase, Perceptual Weighting 1. INTRODUCTION Achieving perfect, perceptually lossless reconstruction of complex audio signals like music remains a central challenge in audio engineering and machine learning.