Mira Murati's New AI Model: Inkling

PromptCube3.com Novice 5h ago 149 views 6 likes 1 min read

Mira Murati's New AI Model: Inkling
via cnbeta.com.tw
Key points
  • Thinking Machines Lab released Inkling, an open-weight model with 975B parameters but only 41B active parameters.

  • The model architecture draws inspiration from China's DeepSeek-V3 and uses data from Kimi K2.5 for optimization.

  • Rather than chasing raw peak performance, the focus is on balancing cost, speed, and customization.
  • It is fascinating to see Mira Murati pivot from the "bigger is better" philosophy of OpenAI toward a more pragmatic, efficiency-driven approach. By utilizing a Mixture-of-Experts (MoE) style architecture—where only a fraction of parameters are active per query—Thinking Machines is targeting the massive gap between elite closed-source models and usable, affordable AI for developers.

    What stands out most is the explicit integration of Chinese technical influences. Borrowing from DeepSeek and leveraging Kimi's data shows that the global AI race is becoming less about isolated silos and more about a cross-pollination of efficiency breakthroughs. If Inkling can actually deliver industrial-grade performance via their Tinker fine-tuning tool without requiring a supercomputer, it could democratize high-end model customization. It's a strategic move: while others fight for the "smartest" title, Murati is betting on the most "practical" tool.

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