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General Intuition, which trains AI agents in spatial reasoning using Medal.tv game clips, raised a $133.7M seed led by Khosla Ventures and General Catalyst (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/10/16/gene

General Intuition lands $134M seed to teach agents spatial reasoning using video game clips | TechCrunch
Late last year, OpenAI reportedly tried to buy Medal and its vast trove of video game data for $500M. Today, the company spun out a frontier research lab that's using that data to build AI agents that understand how they move through space and time, a concept called spatial-temporal reasoning.

⚡ Will electric tractors gain traction? At a pilot event for farmers, researchers see possibilities
https://techxplore.com/news/2025-09-electric-tractors-gain-traction-event.html

Will electric tractors gain traction? At a pilot event for farmers, researchers see possibilities
In the soft dirt of an indoor horseback riding ring last month, a group of farmers got ready to test drive a new piece of equipment: an electric tractor.

"World’s 1,500th known bat species confirmed from Equatorial Guinea"
#Bats #Animals
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World’s 1,500th known bat species confirmed from Equatorial Guinea
From Bioko Island in Equatorial Guinea, researchers have described what is officially recognized as the 1,500th bat species known to science, according to a recent study. The newly described bat is a species of pipistrelle, a group of tiny insect-eating bats, and scientists have named it Pipistrellus etula, with etula meaning “island” or “nation” in […]

GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketing
Silan Hu, Shiqi Zhang, Yimin Shi, Xiaokui Xiao
https://arxiv.org/abs/2509.14221 htt…

GEM-Bench: A Benchmark for Ad-Injected Response Generation within Generative Engine Marketing
Generative Engine Marketing (GEM) is an emerging ecosystem for monetizing generative engines, such as LLM-based chatbots, by seamlessly integrating relevant advertisements into their responses. At the core of GEM lies the generation and evaluation of ad-injected responses. However, existing benchmarks are not specifically designed for this purpose, which limits future research. To address this gap, we propose GEM-Bench, the first comprehensive benchmark for ad-injected response generation in GE…

Recursive polygon subdivision inspired by thin-section mineralogy...
(The area of each polygon is mapped to a color from a gradient. Made with https://thi.ng/geom, see next message for example & source code...)
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A Universal Banach--Bregman Framework for Stochastic Iterations: Unifying Stochastic Mirror Descent, Learning and LLM Training
Johnny R. Zhang (Independent Researcher), Xiaomei Mi (University of Manchester), Gaoyuan Du (Amazon), Qianyi Sun (Microsoft), Shiqi Wang (Meta), Jiaxuan Li (Amazon), Wenhua Zhou (Independent Researcher)
https://arx…

A Universal Banach--Bregman Framework for Stochastic Iterations: Unifying Stochastic Mirror Descent, Learning and LLM Training
Stochastic optimization powers the scalability of modern artificial intelligence, spanning machine learning, deep learning, reinforcement learning, and large language model training. Yet, existing theory remains largely confined to Hilbert spaces, relying on inner-product frameworks and orthogonality. This paradigm fails to capture non-Euclidean settings, such as mirror descent on simplices, Bregman proximal methods for sparse learning, natural gradient descent in information geometry, or Kullb…

Raiders 1-Round Mock Draft: GM John Spytek picks the next defensive star https://raiderramble.com/2025/12/15/raiders-1-round-mock-draft-gm-john-spytek-picks-the-next-defensive-star/

Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
Shengbo Wang, Nian Si
https://arxiv.org/abs/2509.14203 https://a…

Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
Learning and optimal control under robust Markov decision processes (MDPs) have received increasing attention, yet most existing theory, algorithms, and applications focus on finite-horizon or discounted models. The average-reward formulation, while natural in many operations research and management contexts, remains underexplored. This is primarily because the dynamic programming foundations are technically challenging and only partially understood, with several fundamental questions remaining…

GenExam: A Multidisciplinary Text-to-Image Exam
Zhaokai Wang, Penghao Yin, Xiangyu Zhao, Changyao Tian, Yu Qiao, Wenhai Wang, Jifeng Dai, Gen Luo
https://arxiv.org/abs/2509.14232

GenExam: A Multidisciplinary Text-to-Image Exam
Exams are a fundamental test of expert-level intelligence and require integrated understanding, reasoning, and generation. Existing exam-style benchmarks mainly focus on understanding and reasoning tasks, and current generation benchmarks emphasize the illustration of world knowledge and visual concepts, neglecting the evaluation of rigorous drawing exams. We introduce GenExam, the first benchmark for multidisciplinary text-to-image exams, featuring 1,000 samples across 10 subjects with exam-st…

⚠️ An important wetland in Ghana is under siege. Researchers investigate the real issues
https://theconversation.com/an-important-wetland-in-ghana-is-under-siege-researchers-investigate-the-real-issues-269016<…

An important wetland in Ghana is under siege. Researchers investigate the real issues
In Ghana, the degradation of wetlands is widespread and many are in poor condition.