# Dec 25, 2025

- **Nvidia buying AI chip startup Groq for about $20B in cash**  
  - Nvidia's acquisition of Groq for $20 billion marks its largest purchase ever, significantly expanding its portfolio in AI chip technology, particularly as Groq's founders were instrumental in developing Google's TPU, a direct competitor to Nvidia's offerings.

- **Using Vectorize to build an unreasonably good search engine in 160 lines of code**  
  - AI advancements have simplified the creation of powerful search engines, exemplified by the development of the **Braggoscope** search feature, which utilizes **semantic search** through embeddings and a vector database, all in just **160 lines of code**.

- **CUDA Tile Open Sourced**  
  - **CUDA Tile IR** is an **MLIR-based** compiler infrastructure designed for optimizing CUDA kernels, specifically targeting **tile-based computations** on NVIDIA tensor cores, enhancing performance through abstractions and optimizations.

- **2025 Year in Review: The old methods quietly solving problems the new ones can't**  
  - **Old methods** like **HMMs** and **Viterbi** are resurfacing to tackle problems that **Transformers** struggle with, demonstrating that foundational techniques remain relevant in modern NLP challenges.

- **The dawn of a world simulator**  
  - **World simulators** like **Odyssey-2** leverage **causal prediction** from vast video data to learn how the world evolves, moving beyond traditional hand-crafted models to a more dynamic, data-driven approach.

- **JEDEC developing reduced pin count HBM4 standard to enable higher capacity**  
  - **JEDEC is advancing the HBM4 standard** by introducing the SPHBM4, which reduces pin count from 2,048 to **512**, while maintaining the same throughput, thus enhancing memory capacity for GPUs.

- **Quantum Error Correction Goes FOOM**  
  - **Quantum Error Correction (QEC) is poised for a dramatic leap**, with recent advancements showing a **59 qubit repetition code** achieving a half-life of **2 hours**, indicating a potential for exponential growth in qubit quality and longevity.

- **All I Want for Xmas Is Your Secrets: LangGrinch Hits LangChain (CVE-2025-68664)**  
  - **LangGrinch** exploits a **critical vulnerability** in LangChain Core (CVE-2025-68664), potentially compromising sensitive data and user secrets.

- **Show HN: Spice Cayenne – SQL acceleration built on Vortex**  
  - **Spice Cayenne** is a next-generation data accelerator that leverages the **Vortex columnar format** to achieve **100x faster random access** and **3x lower memory usage** compared to existing solutions like DuckDB and SQLite, making it ideal for high-scale, low-latency applications.

- **SIID: A scale invariant pixel-space diffusion model; trained on 64x64 MNIST, generates readable 1024x1024 digits for arbitrary ratios with minimal deformities (25M parameters)**  
  - **SIID (Scale Invariant Image Diffuser)** utilizes a novel architecture that allows for **readable 1024x1024 digit generation** from 64x64 MNIST training, achieving this with **25M parameters** and minimal artifacts, demonstrating significant scalability in image resolution.

- **Coding Intelligence Asymptotics**  
  - **Unlimited automation in coding** could lead to significantly larger codebases, as the constraints of developer time and typing speed diminish, potentially making **compilation time** the new limiting factor.

- **The Story Of Topcat (So Far)**  
  - **Topcat** (Total Output Probability Certainty Aware Transform) aims to replace the **softmax** activation function, addressing its tendency to create overconfident models by introducing a certainty metric ranging from -1 to 1, which enhances output reliability.

- **NVIDIA Nemotron 3: Efficient and Open Intelligence**  
  - The **Nemotron 3 family**—comprising **Nano, Super, and Ultra** models—leverages a **Mixture-of-Experts hybrid Mamba-Transformer architecture** to achieve **1M token context lengths** and superior agentic capabilities, enhancing reasoning and conversational skills. [Link to article](http://arxiv.org/abs/2512.20856v1)

- **Octonion Bitnet with fused Triton kernels**  
  - The **custom kernel** integrates Octonions and ternary weights, streamlining **64 matmul launches** into a single fused operation, enhancing computational efficiency and architectural performance.

- **How I built the edit model behind Tab completion for a coding agent**  
  - The **NES model** predicts the next code edit by analyzing the entire file and recent edit history, making it a complex task due to the **messy nature of developer edits** found in real commit histories.