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Inside Inkling’s 1T MoE Architecture and 1M Token Context episode artwork

Jul 16, 2026 50 min

Inside Inkling’s 1T MoE Architecture and 1M Token Context

from Neural intel Pod Hosted by Neuralintel.org

The era of "proprietary-only" frontier intelligence is over. The Problem: Western developers have been forced to rely on Chinese models like Qwen or Kimi for high-performance open-weights alternatives while Meta’s Llama 4 pivots toward proprietary paths. The Solution: Inkling—a sparse Mixture-of-Experts (MoE) transformer with 256 routed experts designed for sovereignty and auditability. In this episode, we go under the hood of Thinking Machines’ first release. We discuss: Give us your take in the comments below: Is a 1T open-weights model the moat your infrastructure has been waiting for? Follow us on X: @neuralintelorg Join the community: neuralintel.org

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Inside Inkling’s 1T MoE Architecture and 1M Token Context

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