Tootfinder

DPRK supplies Russia with millions of shells: the alliance of dictators grows stronger: https://benborges.xyz/2025/07/17/dprk-supplies-russia-with-millions.html

Former Pro Bowl WR says he's mulling retirement but would consider playing for Cowboys, two other teams

https://www.cbssports.com/nfl/news/former-

Exploring MLLMs Perception of Network Visualization Principles
Jacob Miller, Markus Wallinger, Ludwig Felder, Timo Brand, Henry F\"orster, Johannes Zink, Chunyang Chen, Stephen Kobourov
https://arxiv.org/abs/2506.14611

Exploring MLLMs Perception of Network Visualization Principles
In this paper, we test whether Multimodal Large Language Models (MLLMs) can match human-subject performance in tasks involving the perception of properties in network layouts. Specifically, we replicate a human-subject experiment about perceiving quality (namely stress) in network layouts using GPT-4o and Gemini-2.5. Our experiments show that giving MLLMs exactly the same study information as trained human participants results in a similar performance to human experts and exceeds the performanc…

Folk at #DH2025 might be interested in this article 'From handwriting to searchable text: using AI to make millions of historical documents accessible'

From handwriting to searchable text: using AI to make millions of historical documents accessible
In April 2025 the Swedish National Archives made 1,2 million digital images of archival documents into searchable, machine readable text — making the information in the archives more accessible than…

Controlling Multimodal LLMs via Reward-guided Decoding
Oscar Ma\~nas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal
https://arxiv.org/abs/2508.11616

Controlling Multimodal LLMs via Reward-guided Decoding
As Multimodal Large Language Models (MLLMs) gain widespread applicability, it is becoming increasingly desirable to adapt them for diverse user needs. In this paper, we study the adaptation of MLLMs through controlled decoding. To achieve this, we introduce the first method for reward-guided decoding of MLLMs and demonstrate its application in improving their visual grounding. Our method involves building reward models for visual grounding and using them to guide the MLLM's decoding process. Co…

An Indicator analysis of 85 AI "nudify" websites: the sites averaged 18.5M monthly visitors, may generate up to $36M annually, and rely on Big Tech services (Matt Burgess/Wired)
https://www.wired.com/story/ai-nudify-websites-are-raking-in-millions-…

AI 'Nudify' Websites Are Raking in Millions of Dollars
Millions of people are accessing harmful AI “nudify” websites. New analysis says the sites are making millions and rely on tech from US companies.

Muovi hajoaa ympäristössä mikromuoveiksi, mistä seuraa ongelmia sekä luonnolle että ihmisille. Muovin aiheuttamat terveyskulut ovat maailmassa melkoiset. https://www.maaseuduntulevaisuus.fi/koti/28eb0d3c-3b7c-4464-bd5f-eed14b3f3531

Tiesitkö? Tässä suomalaisturistien suosimassa meressä on muovia hurjat määrät
Muovi hajoaa ympäristössä mikromuoveiksi, mistä seuraa ongelmia sekä luonnolle että ihmisille. Muovin aiheuttamat terveyskulut ovat maailmassa melkoiset.

Somehow I got myself on this mailing list, every month or 3 they send a list of used printing equipment in Europe. I actually enjoy glancing at it, definitely a Heavy Metal vibe, for example this thing, made in 2011, has printed 137M impressions, and can be yours for a mere 420,000€. Free shipping probably not available.

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval
Ruofan Hu, Yan Xia, Minjie Hong, Jieming Zhu, Bo Chen, Xiaoda Yang, Minghui Fang, Tao Jin
https://arxiv.org/abs/2506.14445

Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval
Multimodal large language models (MLLMs) have seen substantial progress in recent years. However, their ability to represent multimodal information in the acoustic domain remains underexplored. In this work, we introduce Vela, a novel framework designed to adapt MLLMs for the generation of universal multimodal embeddings. By leveraging MLLMs with specially crafted prompts and selected in-context learning examples, Vela effectively bridges the modality gap across various modalities. We then prop…

A look at embedded and immersion chip-cooling tech; industry sources indicate Nvidia is mulling 6,000W to 9,000W TDP for its next-gen GPUs, up from ~1,200W now (Anton Shilov/Tom's Hardware)
https://www.