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Source: Pylon, which uses AI to automate B2B customer service, raised $31M led by a16z and Bain Capital at a valuation in the hundreds of millions of dollars (Stephanie Palazzolo/The Information)
https://www.theinformation.com/articles/andreessen-…

Why Andreessen and Bain Backed a Self-Described ‘Zendesk Killer’
Automating customer service has been among the most popular applications of artificial intelligence models, and investors have pumped about $1 billion into six key startups developing them. Now, a seventh is throwing its hat into the ring.San Francisco-based startup Pylon has raised $31 million ...

Revisiting Reliability in the Reasoning-based Pose Estimation Benchmark
Junsu Kim, Naeun Kim, Jaeho Lee, Incheol Park, Dongyoon Han, Seungryul Baek
https://arxiv.org/abs/2507.13314

Revisiting Reliability in the Reasoning-based Pose Estimation Benchmark
The reasoning-based pose estimation (RPE) benchmark has emerged as a widely adopted evaluation standard for pose-aware multimodal large language models (MLLMs). Despite its significance, we identified critical reproducibility and benchmark-quality issues that hinder fair and consistent quantitative evaluations. Most notably, the benchmark utilizes different image indices from those of the original 3DPW dataset, forcing researchers into tedious and error-prone manual matching processes to obtain…

Sarah Josepha Hale is called the godmother of Thanksgiving
because for 40 years she wrote and lobbied five presidents and congressmen to establish it as a national holiday.
Hale, who is probably best remembered as the author of “Mary Had a Little Lamb,”
also wrote the novel “Northwood; or Life North and South,”
which argued for the virtue of the North against the evil slave owners of the South.
One of the chapters in her book discussed the importance of Thanks…

The Africanization of Thanksgiving
Millions of families will come together today and celebrate their bounty by reflecting on God,…

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
Xuming He, Zhiyuan You, Junchao Gong, Couhua Liu, Xiaoyu Yue, Peiqin Zhuang, Wenlong Zhang, Lei Bai
https://arxiv.org/abs/2508.12291

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
Quality analysis of weather forecasts is an essential topic in meteorology. Although traditional score-based evaluation metrics can quantify certain forecast errors, they are still far from meteorological experts in terms of descriptive capability, interpretability, and understanding of dynamic evolution. With the rapid development of Multi-modal Large Language Models (MLLMs), these models become potential tools to overcome the above challenges. In this work, we introduce an MLLM-based weather …

fly_larva: Drosophila larva brain (2023)
A complete synaptic map of the brain connectome of the larva of the fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using three-dimensional electron microscopy–based reconstruction. Node metadata include the neuron hempisphere, hemispherical homologue, cell type, annotations, and inferred cluster. Edge metadata include the type of interaction (`'aa'`,…

Can maiBERT Speak for Maithili?
Sumit Yadav, Raju Kumar Yadav, Utsav Maskey, Gautam Siddharth Kashyap Md Azizul Hoque, Ganesh Gautam
https://arxiv.org/abs/2509.15048 https://

Can maiBERT Speak for Maithili?
Natural Language Understanding (NLU) for low-resource languages remains a major challenge in NLP due to the scarcity of high-quality data and language-specific models. Maithili, despite being spoken by millions, lacks adequate computational resources, limiting its inclusion in digital and AI-driven applications. To address this gap, we introducemaiBERT, a BERT-based language model pre-trained specifically for Maithili using the Masked Language Modeling (MLM) technique. Our model is trained on a…

InSight: AI Mobile Screening Tool for Multiple Eye Disease Detection using Multimodal Fusion
Ananya Raghu, Anisha Raghu, Alice S. Tang, Yannis M. Paulus, Tyson N. Kim, Tomiko T. Oskotsky
https://arxiv.org/abs/2507.12669

InSight: AI Mobile Screening Tool for Multiple Eye Disease Detection using Multimodal Fusion
Background/Objectives: Age-related macular degeneration, glaucoma, diabetic retinopathy (DR), diabetic macular edema, and pathological myopia affect hundreds of millions of people worldwide. Early screening for these diseases is essential, yet access to medical care remains limited in low- and middle-income countries as well as in resource-limited settings. We develop InSight, an AI-based app that combines patient metadata with fundus images for accurate diagnosis of five common eye diseases to…

If there's a shooting in your apartment building, would you feel helped if your building were razed in response? When there's a shooting a block from a police station, do we destroy the whole block including the police station? Whatever Frey's excuse of the moment for destroying the makeshift homes of unhoused people, it is collective punishment— of the victims no less.
(Comment posted on @…

RIP Marilyn Hagerty, Great and Humble Chronicler of Upper Midwestern Eats - Racket
Plus south Minneapolis mass shootings, DJ calls for Saloon boycott, and a Robert Redford local angle in today's Flyover news roundup.

UTI-LLM: A Personalized Articulatory-Speech Therapy Assistance System Based on Multimodal Large Language Model
Yudong Yang, Xiaokang Liu, Shaofeng zhao, Rongfeng Su, Nan Yan, Lan Wang
https://arxiv.org/abs/2509.13145

UTI-LLM: A Personalized Articulatory-Speech Therapy Assistance System Based on Multimodal Large Language Model
Speech therapy plays a critical role in training speech disorders caused by neurological impairments such as stroke. However, traditional manual and computer-assisted systems are limited in real-time accessibility and articulatory motion feedback, constraining their practical utility. Recent advances in multimodal large language models (MLLMs) have demonstrated significant potential in healthcare, particularly through their ability to integrate multimodal data for adaptive assessment and therap…

fly_larva: Drosophila larva brain (2023)
A complete synaptic map of the brain connectome of the larva of the fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using three-dimensional electron microscopy–based reconstruction. Node metadata include the neuron hempisphere, hemispherical homologue, cell type, annotations, and inferred cluster. Edge metadata include the type of interaction (`'aa'`,…