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.