Thinking Machine Labs aims to help people adapt AI systems to their specific needs. By developing practical applications and tools, they aim to make AI more broadly useful and accessible. This includes creating solutions that allow users to customize and fine-tune AI models to their particular use cases, ensuring the technology can be effectively integrated into a wide range of real-world scenarios. Through this focus on practical applications, Thinking Machine Labs hopes to foster a culture of open science and collaboration, enabling the entire AI community to better understand and improve these systems.

Thinking Machine Labs is focused on developing strong foundations to build more capable AI systems. This involves creating robust and reliable AI architectures, improving fundamental machine learning algorithms, and advancing the theoretical understanding of AI. By investing in these core research areas, the company aims to lay the groundwork for the next generation of powerful and versatile AI systems. Through open collaboration and a culture of scientific inquiry, Thinking Machine Labs hopes to foster advancements that benefit the entire AI community and drive the field forward.

Thinking Machine Labs is committed to fostering a culture of open science, which is crucial for advancing the field of AI. By embracing open science principles, the company aims to create an environment where researchers and engineers can collaborate, share knowledge, and collectively improve the understanding and capabilities of AI systems. This approach not only benefits the company's own work but also contributes to the broader AI community, enabling others to build upon the insights and advancements made by Thinking Machine Labs.

Mir Moradi, the former CTO of OpenAI, has recently revealed the launch of his new company, Thinking Machine Labs. The company aims to tackle three key areas: helping people adapt AI systems to their specific needs, developing strong foundations to build more capable AI systems, and fostering a culture of open science to benefit the entire field.

Thinking Machine Labs has already attracted a talented team of engineers and researchers from top companies, including OpenAI, Anthropic, PyTorch, and MRAW. While the exact details of their work are still unclear, the company's focus on making AI broadly useful, understanding it through solid foundations, and promoting open science suggests an ambitious and forward-thinking approach to advancing the field of artificial intelligence.