From the source
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 most open option the evidence supports while building up the ecosystem's resilience, we can move toward openness safely.
The mission of Thinking Machines is to build AI that extends human will and judgment.
In pursuit of that mission, we recently released Inkling and Inkling-Small , two open-weight language models that anyone can own, run, and customize.
Strong open-weight models put AI development in many hands.
We believe that this is a good thing: the knowledge of what AI should do lives with the people doing the work, so they should be able to shape their models directly.
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