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FrontierThe story, in brief

Thinking Machines Rolls Out Broad but Efficient Model

OpenAI's former CTO just shipped a model designed to do more with less. Inkling trades raw scale for token efficiency—and that matters when inference costs are eating margins.

Reporting by AI Business 1 min brief
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The KeyNews take

Why it matters

Thinking Machines' Inkling represents a counter-narrative to the scaling-at-all-costs trend: a general-purpose model optimized for token efficiency. For founders and investors, this signals renewed competition on operational cost rather than capability alone—a shift that could reshape unit economics across AI applications.

The key facts

4 to know

  1. Thinking Machines founded by OpenAI's former CTO

  2. Model name: Inkling

  3. Positioning: general-purpose with token efficiency focus

  4. Release date: July 16, 2026

Go to the source

AI Businessaibusiness.com

Publisher excerpt: The AI startup, founded by OpenAI's former CTO, released Inkling, a general-purpose model that keeps token use in mind.
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