If transformative AI is defined by its societal impact rather than its technical capabilities (i.e. TAI as process not a technology), we already have what is needed. The real question isn’t about waiting for GPT-X or capability Y—it’s about imagining what happens when current AI is deployed 1000x more widely in just a few years. This presents EXTREMELY different problems to solve from a governance and advocacy perspective.
E.g. 1: compute governance might no longer be a good intervention E.g. 2: “Pause” can’t just be about pausing model development. It should also be about pausing implementation across use cases
If transformative AI is defined by its societal impact rather than its technical capabilities (i.e. TAI as process not a technology), we already have what is needed. The real question isn’t about waiting for GPT-X or capability Y—it’s about imagining what happens when current AI is deployed 1000x more widely in just a few years. This presents EXTREMELY different problems to solve from a governance and advocacy perspective.
E.g. 1: compute governance might no longer be a good intervention
E.g. 2: “Pause” can’t just be about pausing model development. It should also be about pausing implementation across use cases