Mira Murati's New AI Model: Inkling
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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