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November 2026 AI Landscape: MoE Scaling, Inference Acceleration, and Provable Security

Introduction

The AI research landscape in early November 2026 continues to advance across architectural efficiency, inference optimization, and model security. Based on recent announcements, this overview highlights reported releases from Thinking Machines, Baidu, Together AI, and Anthropic.

Reported Facts from Recent Releases

  • **Thinking Machines Inkling 2 Small:** Released on November 5, 2026, this model is a 594-billion parameter Mixture-of-Experts (MoE) architecture featuring 17 billion active parameters.
  • **Baidu ERNIE 5.5 Flash Base:** Also announced on November 5, 2026, this base model is a 280-billion MoE configuration with 14 billion active parameters.
  • **Together AI Together Compiler:** Reported on November 5, 2026, this compilation framework leverages agents to make inference up to 2.6x faster.
  • **Anthropic FlashProve:** Announced on November 3, 2026, this release introduces cryptographic proofs designed to verify that a model reply originated from committed weights using zkSNARK technology.
  • Analysis

    *Note: The following analysis is derived strictly from reported manufacturer specifications without hands-on testing.*

    The concurrent introduction of large MoE models with sparse activation—such as Inkling 2 Small and ERNIE 5.5 Flash Base—underscores an ongoing industry focus on scaling total model capacity while keeping active compute overhead low during inference. Concurrently, infrastructure-level tools like Together AI's Together Compiler point to a growing emphasis on compilation-driven inference acceleration. Finally, Anthropic's FlashProve addresses a critical trust and verification layer in deployment pipelines by leveraging cryptographic guarantees for model weight commitment.

    Research sources