The Future Worth Building Is Human – Thinking Machines Lab
Thinking Machines Lab outlines their mission to build AI that extends human judgment rather than replacing it. They argue for distributed, human-centric AI systems that learn from the tacit knowledge of professionals in their specific fields.
Why it matters
This reflects a growing philosophical and technical movement in the AI industry that prioritizes human-in-the-loop systems over fully autonomous, centralized models.
The mission of Thinking Machines is to build AI that extends human will and judgment.
Artificial intelligence can do more every day, but deciding what it should do is up to us: individuals, organizations, humanity as a whole. These decisions require knowledge and judgment that people acquire through continuous contact with the work, increasingly done alongside AI. Shaping the goals of advanced intelligence is also a continuous process of feedback, learning, and realignment.
Most AI in use today is trained in a handful of places and then frozen. It isn’t shaped by the people it serves, and doesn’t learn much from the work they do together. Extending human will and judgment calls for AIs as diverse and distributed as people themselves are. This is the path we have chosen.
To progress on that path, we are pursuing these technical directions:
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