# Nov 4, 2025

## Daily

### Tiny electric motor can produce more than 1,000 horsepower
- **YASA's new electric motor** delivers **750 kilowatts (1,005 horsepower)** while weighing only **28 pounds**, outperforming its predecessor by **40%** in power density.

### Exploring a space-based, scalable AI infrastructure system design
- **Project Suncatcher** aims to revolutionize AI infrastructure by deploying **solar-powered satellite constellations** equipped with TPUs and optical links, potentially enhancing machine learning capabilities in space.

### Resolution limit of the eye – how many pixels can we see?
- The study reveals that the **resolution limit of the human eye** is significantly higher than previously thought, measuring **94 pixels per degree (ppd)** for achromatic vision and **89 ppd** for red-green patterns, indicating a need for display technologies to adapt to these findings.

### We're open-sourcing the successor of Jupyter notebook
- **Deepnote is open-sourcing its successor to Jupyter notebooks**, designed for **reactive, collaborative, and AI-ready** workflows, addressing the limitations of traditional Jupyter experiences that hinder productivity and innovation.

### Skyfall-GS – Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
- **Skyfall-GS** synthesizes **immersive 3D urban scenes** from satellite imagery, leveraging open-domain diffusion models to create high-quality textures without the need for expensive 3D annotations.

### Server DRAM prices surge 50% as AI-induced memory shortage hits hyperscalers
- **Server DRAM prices have surged by up to 50%** due to an AI-driven memory shortage, with major U.S. and Chinese hyperscalers only receiving **70% of their orders** fulfilled, indicating a significant supply chain disruption.

### Optimizing Datalog for the GPU
- The paper introduces a **hash-indexed sorted array** for efficient Datalog execution on GPUs, enhancing performance through optimized memory access patterns and reducing redundant computations during **Semi-naïve Evaluation**.

### [R] We were wrong about SNNs. The bo.ttleneck isn't binary/sparsity, it's frequency.
- The **performance gap** between Spiking Neural Networks (SNNs) and Artificial Neural Networks (ANNs) is primarily due to **low-pass filtering** effects of spiking neurons, rather than binary activation losses, as shown in recent research.

### Aisuru botnet shifts from DDoS to residential proxies
- The **Aisuru botnet**, initially notorious for record-breaking DDoS attacks, has pivoted to a more sustainable model by renting out **hundreds of thousands of compromised IoT devices** as residential proxies, facilitating cybercriminals in anonymizing their online activities.

### [P] Explanation of Gated DeltaNet (Qwen3-Next and Kimi Linear)
- **Gated DeltaNet** is a linear attention mechanism inspired by recurrent neural networks, utilizing a gating mechanism to enhance memory control and improve long-context reasoning, as seen in the architectures of [Qwen3-Next](https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list) and [Kimi Linear](https://arxiv.org/abs/2510.26692).

### [D][P] PKBoost v2 is out! An entropy-guided boosting library with a focus on drift adaptation and multiclass/regression support.
- **PKBoost v2** introduces **Shannon Entropy Guidance** and **Hierarchical Adaptive Boosting**, enhancing feature selection and drift adaptation, crucial for handling imbalanced datasets effectively.

### Deutsche Telekom and NVIDIA Launch Industrial AI Cloud — a ‘New Era’ for Germany’s Industrial Transformation
- **Deutsche Telekom and NVIDIA** have launched the **world’s first Industrial AI Cloud**, a sovereign platform designed to enhance Germany's industrial capabilities, set to go live in early 2026.

### [P] Fast, Scalable LDA in C++ with Stochastic Variational Inference
- **Open-sourced** a high-performance C++ implementation of **Latent Dirichlet Allocation (LDA)** using **Stochastic Variational Inference (SVI)**, designed for **multithreading** and optimized for **memory reuse** and **cache efficiency**; it also exports **MALLET-compatible snapshots** for standard evaluations. [Repo](https://github.com/samihadouaj/svi_lda_c)