# Dec 10, 2025

- **Anthropic has donated the Model Context Protocol (MCP) to the Agentic AI Foundation**, a collaborative initiative under the Linux Foundation, aimed at fostering open standards in agentic AI development, supported by major tech companies like Google and Microsoft.

- **Mistral Releases Devstral 2 (72.2% SWE-Bench Verified) and Vibe CLI**
  - **Devstral 2** is a **123B-parameter** coding model achieving **72.2%** on SWE-bench Verified, making it a leading open-source alternative with significant cost efficiency compared to competitors like Claude Sonnet.

- **When a video codec wins an Emmy**
  - The **AV1 specification** has been awarded a **Technology & Engineering Emmy Award** for its transformative role in video content delivery, showcasing the importance of open standards in the digital landscape.

- **Qwen3-Omni-Flash-2025-12-01：a next-generation native multimodal large model**
  - **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)

- **New benchmark shows top LLMs struggle in real mental health care**
  - **MindEval** is an open-source framework developed by Sword Health to rigorously assess the **clinical competence** of Large Language Models (LLMs) in mental health, addressing the critical need for reliable evaluation tools in AI therapy.

- **Qualcomm acquires RISC-V focused Ventana Micro Systems**
  - **Qualcomm's acquisition of Ventana Micro Systems** enhances its **RISC-V CPU expertise**, positioning the company to leverage open-source architecture for diverse applications in AI and IoT.

- **Post-transformer inference: 224× compression of Llama-70B with improved accuracy**
  - This paper presents a **novel method** for eliminating transformers from inference, achieving **224× compression** of the Llama-70B model while improving accuracy by an average of **+1.81 percentage points** across classification tasks.

- **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.

- **OpenEvolve: Teaching LLMs to Discover Algorithms Through Evolution**
  - **OpenEvolve** integrates **large language models (LLMs)** within an **evolutionary framework** to autonomously discover algorithms, enhancing traditional methods that rely on heuristics and exhaustive searches.

- **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.

- **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.

- **Strengthening cyber resilience as AI capabilities advance**

- **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.

- **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.

- **GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI**
  - **GigaTIME** leverages multimodal AI to transform standard **H&E pathology slides** into virtual **mIF images**, enabling unprecedented insights into tumor microenvironments across **24 cancer types** and **306 subtypes** through a dataset of **300,000 images**.