# Nov 15, 2025

- **Has Google solved two of AI's oldest problems?**  
  Google's new AI model, currently in testing, achieves near-perfect automated handwriting recognition and demonstrates unexpected levels of abstract reasoning, suggesting a significant leap in AI capabilities.

- **GEN-0 / Embodied Foundation Models That Scale with Physical Interaction**  
  GEN-0 introduces a new class of embodied foundation models that leverage high-fidelity physical interaction data, enabling robots to achieve human-level reflexes and commonsense reasoning through a novel training approach called **Harmonic Reasoning**.

- **Go's Sweet 16**  
  Go celebrates its 16th anniversary with significant advancements, including the release of **Go 1.24 and 1.25**, which enhance productivity through new APIs and robust software development tools, particularly in the context of generative AI integration.

- **Honda: 2 years of ml vs 1 month of prompting - here's what we learned**  
  Two years of supervised model development led to a robust warranty classification system, yet after just six rounds of prompt tuning with Nova Lite, performance matched or exceeded that of the original model in four out of five categories.

- **AMD GPUs Go Brrr**  
  AMD GPUs are achieving **state-of-the-art performance** with the MI355X model, yet their potential is hindered by **immature software** ecosystems, necessitating tools like **HipKittens** to unlock their capabilities.

- **HipKittens: Fast and furious AMD kernels**  
  HipKittens introduces a collection of opinionated programming primitives for AMD kernels, aiming to unlock the full potential of AMD's state-of-the-art hardware capabilities. This initiative addresses the current limitations in AMD's software ecosystem, which struggles to achieve peak performance due to brittle offerings and a reliance on hand-optimized assembly.

- **Streaming AI Agent Desktops with Gaming Protocols**  
  Helix is developing interactive AI agent sandboxes that utilize the **Moonlight gaming protocol** to stream full desktop environments, enabling real-time collaboration and monitoring of AI tasks across multiple users.

- **Archimedes – A Python toolkit for hardware engineering**  
  Archimedes is a Python framework designed to streamline control systems development by enabling seamless C code generation from NumPy algorithms, enhancing productivity and deployment efficiency.

- **[R] Generative Flows on Weight Space for Covariate Shift Detection (AAAI 2026 Workshop)**  
  Generative flow models in weight space enable effective detection of covariate shifts by adapting weight distributions in response to data changes, outperforming traditional methods in practical applications.

- **[D] Resources for Designing Out of Distribution Pipelines for Text Classification**  
  Designing an automated system for evaluating out-of-distribution (OOD) data points in a transformer classification model requires innovative approaches like **maximum classification score**, **entropy of probability distribution**, and **embedding similarity** to the training dataset.

- **How to Unlock Accelerated AI Storage Performance With RDMA for S3-Compatible Storage**  
  RDMA for S3-compatible storage enhances object storage access, enabling enterprises to achieve **higher throughput** and **lower latencies**, crucial for accelerating AI workloads and reducing costs.