The Game Board has been Flipped: Now is a good time to rethink what you’re doing

Abstract

Recent developments in artificial intelligence necessitate a fundamental re-evaluation of AI safety and governance strategies. These developments include updates toward shorter timelines for artificial general intelligence (AGI), the likely Trump presidency, the emergence of the o1 (inference-time compute scaling) paradigm, Deepseek’s achievements, massive AI datacenter investments, increased internal deployment of AI systems, and the absence of existential risk considerations in mainstream AI discourse. These changes render many existing AI governance approaches obsolete and suggest we are entering a critical period. The US advantage over China in AI development appears smaller than previously assumed, questioning strategies built on maintaining technological superiority. The situation demands new priorities, including increased focus on right-leaning communications, deeper engagement with the Trump administration, and development of policy proposals aligned with Republican interests. While some traditional approaches like EU/UK collaboration and compute governance remain relevant, their effectiveness may be diminished. The developments also highlight the growing importance of having safety-conscious researchers within leading AI labs, though the value of this approach is debated. These shifts occur against a backdrop of potentially very short timelines to AGI, adding urgency to strategic adjustments. - AI-generated abstract