Thinking Machines Lab, founded by OpenAI exiles including former CTO Mira Murati, released Inkling, an open-weight AI model trained on audio, video, and text inputs. Inkling contains 975 billion parameters and performs comparably to leading Chinese open-weight models while being cheaper to run than closed alternatives. The release positions Thinking Machines as a competitor in the AI market and supports its vision for decentralized AI development outside the control of a few dominant companies.
Thinking Machines Lab released Inkling, an open-weight AI model with 975 billion total parameters that developers can download and modify, departing from the closed models sold by OpenAI, Anthropic, and Google. The model uses about 41 billion parameters per task and requires a third as many tokens as Nvidia's Nemotron 3 Ultra to achieve equivalent coding performance, according to the company's benchmarks. The startup is positioning Inkling as a customizable foundation for enterprises to fine-tune through its Tinker platform rather than a finished product, betting that organization-specific AI will outperform general-purpose models.
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