The Future Worth Building Is Human – Thinking Machines Lab

Thinking Machines advocates for AI systems that are shaped by and distributed among the people who use them, rather than centrally trained and frozen models. The organization argues that effective AI must incorporate the tacit, local knowledge of individuals and adapt continuously through human feedback, proposing technical solutions like customizable models, user training capabilities, and improved human-machine interfaces. This approach reflects the belief that the future of AI should be decided by human judgment and serve diverse human needs rather than being controlled by a handful of institutions.