Thinking Machines – Connectionism

Abstract: Safe open-weight models are public goods, as they put AI development and safety work in many hands and make training choices inspectable. Open models also carry real misuse risks, and release is irreversible. To release safely, we must consider both the model and the ecosystem it enters. For the model, we conduct robust safety testing and research whether dangerous capabilities can be decoupled from general intelligence. For the ecosystem, we invest in its readiness through staged releases, supporting defenders, and collaboration with safety researchers. By iteratively choosing the m

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 does