# Dec 6, 2025

## Gemini 3 Pro: the frontier of vision AI

**Gemini 3 Pro** is Google's most advanced multimodal model, excelling in **document, spatial, screen, and video understanding**, enabling complex visual reasoning and document processing.

## Sam Altman's Dirty DRAM Deal

**OpenAI's** simultaneous deals with Samsung and SK Hynix for 40% of global DRAM supply have triggered a 156% price surge in DDR5 RAM, creating a panic in the tech industry.

## Z-Image: Powerful and highly efficient image generation model with 6B parameters

**Z-Image** is a **6B parameter** image generation model that includes **Z-Image-Turbo**, a distilled variant achieving **sub-second inference** with only **8 NFEs**, making it highly efficient for photorealistic image generation and bilingual text rendering.

## The Unexpected Effectiveness of One-Shot Decompilation with Claude

**One-shot decompilation with Claude** has accelerated progress on *Snowboard Kids 2*, achieving more in three weeks than in the previous three months, thanks to a workflow that minimizes human intervention and maximizes throughput.

## Touching the Elephant – TPUs

**Google's Tensor Processing Unit (TPU)** has evolved from a research project into a powerful hardware accelerator, achieving **42.5 Exaflops** with the latest generation, Ironwood, which features **9,216 chips in a pod** and a focus on specialized computations for neural networks.

## From DeepSeek V3 to V3.2

**DeepSeek V3.2** introduces a **sparse attention mechanism** (DeepSeek Sparse Attention) that enhances efficiency in long-context scenarios, achieving competitive performance against proprietary models like GPT-5 and Gemini 3.0 Pro.

## ARC Prize 2025 Results and Analysis

**ARC Prize 2025** highlights the ongoing challenge of achieving **AGI**, with no Grand Prize winner yet, despite significant advancements in model refinement and open-source contributions from 1,455 teams and 90 papers submitted.

## We stress-tested the idea of “LLMs with thousands of tools.” The results challenge some assumptions.

**Anthropic's _Tool Search_ feature** aims to address the **“too many tools in context”** issue by enabling models to discover tools on-demand, rather than preloading thousands of definitions.

## 96.1M Rows of iNaturalist Research-Grade plant images (with species names)

**96.1M rows** of cleaned iNaturalist plant images, complete with species names and coordinates, are now available for testing **vision models** on real-world noisy data, addressing the challenges of using GBIF data.

## Zebra-Llama: Towards Efficient Hybrid Models

**Zebra-Llama** introduces a **scalable hybrid model** architecture that combines **State Space Models (SSMs)** and **Multi-head Latent Attention (MLA)** layers, achieving **Transformer-level accuracy** with significantly reduced training requirements of only **7-11B tokens**.

## Tiny Recursive Models (TRMs), Hierarchical Reasoning Models (HRMs) too

**Tiny Recursive Models (TRMs)** leverage recursion to perform extensive computations with **fewer parameters**, enhancing efficiency in hierarchical reasoning tasks.

## Visualizing emergent structure in the Dragon Hatchling (BDH): a brain-inspired alternative to transformers

The **BDH architecture** offers a novel approach to pathfinding by modeling **neuron-to-neuron interactions** on sparse graphs, utilizing **Hebbian learning** to adapt its circuits dynamically, which distinguishes it from traditional transformer models.

## Project: I built a Distributed Orchestrator Architecture using LLM to replace Search Indexing

The **Agent Orchestrator** is a novel **Proof of Concept (POC)** that shifts the logic layer from LLMs to a **distributed REST network**, enabling real-time data access without traditional search indexing.

## DynaMix at NeurIPS2025

**DynaMix** is the **first foundation model** designed specifically for **dynamical systems reconstruction**, showcasing innovative approaches in machine learning at #NeurIPS2025.