Thinking Machines Lab launches open-weight AI model Inkling for enterprises, emphasizing custom control over proprietary systems.

Thinking Machines Lab, founded by Mira Murati, released its first open-weight AI model, Inkling, providing businesses with a customizable alternative to large, closed-source platforms. The model is designed for enterprise customers to fine-tune using their own private data, addressing concerns over relinquishing corporate knowledge to single tech providers. Databricks announced the partnership, making Inkling available on its platform. This setup allows organizations to maintain strict governance, security, and cost control while adapting the AI to specialized tasks. Instead of relying on one-size-fits-all models, businesses can customize Inkling through its open structure. The technology draws praise for its ability to operate on proprietary codebases and internal documents. Industry observers have noted a growing movement toward open-source alternatives that allow users maximum control. Thinking Machines Lab emphasizes that its approach prioritizes user customization, suggesting that the most reliable and cost-effective AI solutions are those shaped internally by the organization rather than solely controlled by external developers.

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