# Dec 11, 2025

## Rivian Unveils Custom Silicon, R2 Lidar Roadmap, and Universal Hands Free

- **Rivian's RAP1 processor**, built on a **5nm multi-chip module**, achieves **1600 sparse INT8 TOPS** and processes **5 billion pixels per second**, marking a shift from off-the-shelf chips to custom silicon for enhanced autonomy.

## Qwen3-Omni-Flash-2025-12-01

- **Qwen** operates across multiple domains, including **qwen.ai** and **chat.qwen.ai**, indicating a robust infrastructure for AI-driven applications and services. [Link to article](https://qwen.ai/blog?id=qwen3-omni-flash-20251201)

## Terrain Diffusion: A Diffusion-Based Successor to Perlin Noise

- **Terrain Diffusion** is a groundbreaking algorithm that enhances procedural noise functions like Perlin noise by integrating **diffusion models** for improved realism and coherence in infinite terrain generation.

## Scientists Create Ultra Fast Memory Using Light

- **Scientists at USC ISI and UW-Madison have developed the first regenerative photonic memory**, a significant advancement that enables ultra-fast, light-based computing, addressing the limitations of traditional electronic systems.

## Show HN: Local Privacy Firewall-Blocks PII and Secrets Before ChatGPT Sees Them

- **PrivacyFirewall** is a **local-first PII and secrets firewall** that protects sensitive information from AI tools by blocking risky paste events and providing real-time warnings, ensuring **no data leaves your machine** during processing.

## Flow Where You Want – Guidance for Flow Models

- This tutorial illustrates how to **add inference-time controls** to pretrained flow-based generative models, enabling them to perform tasks beyond their original training, such as generating specific digits and inpainting missing pixels.

## [D] Benchmark: Massive Degradation in NVMe Random Read Throughput on A100 vs H100 During Multi-GPU Model Loading

- **Significant degradation** in NVMe Random Read throughput occurs on A100 systems, dropping from **~1.71 GiB/s** to **~0.22 GiB/s** when scaling from single-GPU to multi-GPU loading, while H100 systems show improved performance.

## [R] Reproduced "Scale-Agnostic KAG" Paper, Found the PR Formula is Inverted Compared to Its Source

- The reproduction of the **"Scale-Agnostic Kolmogorov-Arnold Geometry"** paper revealed that the **Participation Ratio (PR) formula** is inverted, leading to a **+29%** result instead of the claimed **~30% lower** with augmentation.

## [R] Debugging-Only LLM? Chronos-1 Paper Claims 4–5x Better Results Than GPT-4 ... Thoughts?

- The **chronos-1 model** claims to achieve **80.33%** accuracy on SWE-bench Lite, significantly outperforming **GPT-4's 13.8%** and **Claude's 14.2%**, by focusing solely on debugging workflows without code generation or autocomplete.

## How NVIDIA H100 GPUs on CoreWeave’s AI Cloud Platform Delivered a Record-Breaking Graph500 Run

- **NVIDIA's H100 GPUs achieved a record-breaking 410 trillion traversed edges per second (TEPS) on the Graph500 benchmark**, utilizing 8,192 GPUs to process a graph with 2.2 trillion vertices and 35 trillion edges, demonstrating unprecedented performance in graph processing.

## Strengthening Cyber Resilience as AI Capabilities Advance

## Advancing Science and Math with GPT-5.2

## Introducing GPT-5.2

## Update to GPT-5 System Card: GPT-5.2

## 3 Ways NVIDIA Is Powering the Industrial Revolution

- **NVIDIA's GPU platforms** have overtaken CPUs in supercomputing, enabling unprecedented advancements in AI, science, and business efficiency, as evidenced by over **85% of the TOP100 supercomputers** now utilizing GPUs.