Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling
Thinking Machines Lab has released Inkling, an open-weight AI model designed to be more adaptable than one-size-fits-all alternatives. Founded by former OpenAI CTO Mira Murati, the startup aims to provide enterprise users with more control over their AI infrastructure.
Why it matters
The shift toward open-weight models challenges the dominance of closed-source AI labs and offers companies more flexibility in deploying custom AI solutions.
Thinking Machines Lab, the AI startup founded by former OpenAI CTO Mira Murati, released its first proprietary AI model Wednesday morning, called Inkling — and unlike the flagship models from OpenAI, Anthropic, or Google, it’s open-weight, meaning outside developers and companies can download it and modify it directly.
Inkling is a mixture-of-experts system with 975 billion total parameters, though it only draws on a fraction of that — about 41 billion — for any given task, a common design that keeps very large models faster and cheaper to run. It was trained on 45 trillion tokens of text, image, audio, and video, and reasons natively across all three, according to the company’s own release materials.
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