Tootfinder

NFL explains decision to hold moment of silence for Charlie Kirk before 'Thursday Night Football' https://www.nytimes.com/athletic/6624434/2025/09/12/nfl-decision-explanation-charlie-kirk-moment-of-silence/

Despite hype and optimistic projections, the humanoid robot industry faces hurdles, from battery life and design to limited demand for large-scale deployments (Evan Ackerman/IEEE Spectrum)
https://spectrum.ieee.org/humanoid-robot-scaling

Humanoid Robots: The Scaling Challenge
​It takes more than building a humanoid robot to build a humanoid robot product.

🚲 The Wotancraft Rider V2 Photography Sling is Inspired by Cycling Bags
https://petapixel.com/2025/08/21/the-wotancraft-rider-v2-photography-sling-is-inspired-by-cycling-bags/

The Wotancraft Rider V2 Photography Sling is Inspired by Cycling Bags
Wotancraft upgraded its Rider series sling, an expandable shoulder bag originally designed as a cycling messenger.

Why Cooperation Beats Competition If You Design It Right
We praise competition because it slings us awake, but the quiet truth is that cooperation does the heavy lifting. It stitches days together, forges talent into reliability, and turns cleverness into outcomes you can touch. You see it most clearly where failure costs blood or bread. Think of the night shift in a busy hospital: rounds, handoffs, an attending who catches what a resident almost missed because the…

Why Cooperation Beats Competition If You Design It Right | David Boles, Blogs
We praise competition because it slings us awake, but the quiet truth is that cooperation does the heavy lifting. It stitches days together, forges talent into reliability, and turns cleverness int…

Low Cost Bayesian Experimental Design for Quantum Frequency Estimation with Decoherence
Alexandra Ram\^oa, Lu\'is Paulo Santos, Akihito Soeda
https://arxiv.org/abs/2508.07120

Low Cost Bayesian Experimental Design for Quantum Frequency Estimation with Decoherence
A two-level quantum system evolving under a time-independent Hamiltonian produces oscillatory measurement probabilities. The estimation of the associated frequency is a cornerstone problem in quantum metrology, sensing, calibration and control. In this work, we tackle this task by introducing WES: a Window Expansion Strategy for low cost adaptive Bayesian experimental design. WES employs empirical cost-reduction techniques to keep the optimization overhead low, curb scaling problems, and enable…

Compass-v3: Scaling Domain-Specific LLMs for Multilingual E-Commerce in Southeast Asia
Sophia Maria
https://arxiv.org/abs/2509.09121 https://arxiv.org/pdf/…

Compass-v3: Scaling Domain-Specific LLMs for Multilingual E-Commerce in Southeast Asia
Large language models (LLMs) excel in general-domain applications, yet their performance often degrades in specialized tasks requiring domain-specific knowledge. E-commerce is particularly challenging, as its data are noisy, heterogeneous, multilingual, and highly dynamic. We present Compass-v3, a vertical-domain Mixture-of-Experts (MoE) model with 245B total parameters and 71B active per token, designed for Southeast Asian e-commerce. Compass-v3 adopts fewer but larger experts, combined with h…

Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors
Alessandro Ottaviano, Andrino Meli, Paul Scheffler, Giovanni Bambini, Robert Balas, Davide Rossi, Andrea Bartolini, Luca Benini
https://arxiv.org/abs/2510.09163

Co-designing a Programmable RISC-V Accelerator for MPC-based Energy and Thermal Management of Many-Core HPC Processors
Managing energy and thermal profiles is critical for many-core HPC processors with hundreds of application-class processing elements (PEs). Advanced model predictive control (MPC) delivers state-of-the-art performance but requires solving an online optimization problem over a thousand times per second (1 kHz control bandwidth), with computational and memory demands scaling with PE count. Traditional MPC approaches execute the controller on the PEs, but operating system overheads create jitter a…

Google adds a Chrome feature that automatically disables browser notifications from websites users haven't interacted with recently, on Android and desktop (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/10/10/google-chrome-silences-those-pesky-no…

Google Chrome silences those pesky notifications | TechCrunch
The company tacitly admits that browser notifications, as designed, might have been a bad idea, saying that its own data shows users receive a high volume of notifications but rarely interact with them.

Spatial-ORMLLM: Improve Spatial Relation Understanding in the Operating Room with Multimodal Large Language Model
Peiqi He, Zhenhao Zhang, Yixiang Zhang, Xiongjun Zhao, Shaoliang Peng
https://arxiv.org/abs/2508.08199

Spatial-ORMLLM: Improve Spatial Relation Understanding in the Operating Room with Multimodal Large Language Model
Precise spatial modeling in the operating room (OR) is foundational to many clinical tasks, supporting intraoperative awareness, hazard avoidance, and surgical decision-making. While existing approaches leverage large-scale multimodal datasets for latent-space alignment to implicitly learn spatial relationships, they overlook the 3D capabilities of MLLMs. However, this approach raises two issues: (1) Operating rooms typically lack multiple video and audio sensors, making multimodal 3D data diff…

CCF: A Context Compression Framework for Efficient Long-Sequence Language Modeling
Wenhao Li, Bangcheng Sun, Weihao Ye, Tianyi Zhang, Daohai Yu, Fei Chao, Rongrong Ji
https://arxiv.org/abs/2509.09199

CCF: A Context Compression Framework for Efficient Long-Sequence Language Modeling
Scaling language models to longer contexts is essential for capturing rich dependencies across extended discourse. However, naïve context extension imposes significant computational and memory burdens, often resulting in inefficiencies during both training and inference. In this work, we propose CCF, a novel context compression framework designed to enable efficient long-context modeling by learning hierarchical latent representations that preserve global semantics while aggressively reducing …