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Mira Murati’s AI Start-up Unveils Customisable, Open-Source Model Inkling

The 975 billion-parameter model can process audio, video and text, and the company says it is designed to be cheaper to run and easier to modify.

  • On Wednesday, San Francisco-based Thinking Machines Lab released Inkling, an open-weight model designed to balance "cost against performance" while processing text, images, and audio across different tasks.
  • Thinking Machines founder Mira Murati aims to fill a U.S. market void where open-source development lags behind Chinese counterparts, building "interaction models" to capture nuances like silence and thinking for natural collaboration.
  • Inkling utilizes a mixture-of-experts system with 975 billion total parameters, training on 45 trillion tokens of data and handling a context window of up to 1 million tokens while using about 41 billion parameters per task.
  • Customers fine-tune Inkling through Tinker, the company's customization platform, with hedge fund Bridgewater Associates using it to improve financial reasoning; Thinking Machines currently offers the model for free, generating revenue through Tinker instead.
  • Although the lab notes Inkling is "not the strongest model available today, closed or open," it emphasizes development speed, having built the system in nine months with plans for future models to train entirely on its own infrastructure.
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An artificial intelligence (AI) startup founded by a former CTO of OpenAI has unveiled a new open AI model. Thinking Machines Lab, a startup founded by former CTO Mira Murati, introduced its new AI model, "Inkling," on the 15th (local time). Unlike closed models such as ChatGPT, Claude, and Gemini, Inkling is an open model that users can download and install, and also adjust the weights within the model.

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WTVB broke the news on Wednesday, July 15, 2026.
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