Voice authentication???
I would not trust the basic competence of any org doing that. Facial recognition is bad enough.
Part of this is that I’m whatever the voice equivalent is to face-blindness. I don’t believe that such a thing as a “voice print” can exist. I can tell the difference between Neil Young and Bob Dylan, but any more similar and I’m lost.
I plan to bow out of NYT #Wordle after tomorrow. I’ll miss the friendly competition with the #OldGal & #YoungPups. Their announcement that they’ll start reusing previous answers as of Monday Feb, 2 was enough t…
"Dispensing false information in a confident tone, rather than offering no answer when none is readily available, is a major flaw of generative AI, experts say. An audit of the top 10 generative AI model... by the media literacy non-profit NewsGuard revealed that the non-response rates of chatbots went down from 31% in August 2024 to 0% in August 2025. At the same time, the chatbots’ likelihood of repeating false information almost doubled from 18% to 35%"
Angreifer steigen über Zero-Day-Lücke bei Logitech ein | heise online
https://heise.de/-11080333
A US judge rules that Apple and OpenAI must answer to a lawsuit filed by X and xAI accusing them of conspiring to thwart competition in emerging markets in AI (Madlin Mekelburg/Bloomberg)
https://www.bloomberg.com/news/articles/20
LoD-Structured 3D Gaussian Splatting for Streaming Video Reconstruction
Xinhui Liu, Can Wang, Lei Liu, Zhenghao Chen, Wei Jiang, Wei Wang, Dong Xu
https://arxiv.org/abs/2601.18475 https://arxiv.org/pdf/2601.18475 https://arxiv.org/html/2601.18475
arXiv:2601.18475v1 Announce Type: new
Abstract: Free-Viewpoint Video (FVV) reconstruction enables photorealistic and interactive 3D scene visualization; however, real-time streaming is often bottlenecked by sparse-view inputs, prohibitive training costs, and bandwidth constraints. While recent 3D Gaussian Splatting (3DGS) has advanced FVV due to its superior rendering speed, Streaming Free-Viewpoint Video (SFVV) introduces additional demands for rapid optimization, high-fidelity reconstruction under sparse constraints, and minimal storage footprints. To bridge this gap, we propose StreamLoD-GS, an LoD-based Gaussian Splatting framework designed specifically for SFVV. Our approach integrates three core innovations: 1) an Anchor- and Octree-based LoD-structured 3DGS with a hierarchical Gaussian dropout technique to ensure efficient and stable optimization while maintaining high-quality rendering; 2) a GMM-based motion partitioning mechanism that separates dynamic and static content, refining dynamic regions while preserving background stability; and 3) a quantized residual refinement framework that significantly reduces storage requirements without compromising visual fidelity. Extensive experiments demonstrate that StreamLoD-GS achieves competitive or state-of-the-art performance in terms of quality, efficiency, and storage.
toXiv_bot_toot
The year starts with a new competition case re. public EV charging prices in Italy. The competition authority has decided to conduct a further investigation into A2A Mobility, as prices charged to others were higher than in their own app.
https://www.agcm.it/pubblicazioni/bolletti<…
💥 Pro-cycling crashes can be bad, but evidence suggests slower bikes aren't the answer
#sports