Former OpenAI CTO Mira Murati Launches Thinking Machines' Inkling: Open-Weights Multimodal AI Model with 975 Billion Parameters and Self-Training Demo
Thinking Machines, founded by former OpenAI technical director Mira Murati, has released Inkling, its first open-weights multimodal AI model that supports text, images, and audio in a unified architecture. The model uses a mixture-of-experts design with 975 billion total parameters but activates only 41 billion at once, supports a 1-million-token context window, and was trained on 45 trillion tokens spanning text, images, audio, and video. A smaller Inkling Small variant with 12 billion active parameters was also introduced for faster and cheaper inference. Key innovations include adjustable reasoning depth that lets developers control compute usage per query and a self-training experiment where the model autonomously fine-tuned itself via the Tinker platform to avoid using one letter of the English alphabet. Weights are now available on Hugging Face with support for Transformers, vLLM, SGLang, and llama.cpp, positioning Inkling as a flexible foundation for further customization rather than a direct competitor to closed frontier models.
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