The Trump administration has officially launched a 'Super Intelligence' task force, a centralized body designed to consolidate various AI-related initiatives previously scattered across different government departments. The primary objective of this group is to develop a cohesive national tech policy that can keep pace with the rapid advancements in artificial intelligence.

However, the task force faces significant internal challenges. According to reports, the administration is currently divided into competing factions with differing views on how to regulate the industry. The success of the new policy framework will likely depend on the task force's ability to navigate these internal disagreements and produce regulations that are both effective and adaptable.

Scott Kupor, a co-chair of the task force, has publicly pushed back against criticism that the administration has been slow or ineffective in addressing AI policy. Kupor argues that the government must avoid implementing rigid, static legislation, which he contends would become obsolete almost immediately given the speed of technological change. Instead, the administration appears to be favoring a more dynamic approach to oversight. While the task force is intended to bring order to the administration's tech strategy, observers note that the policy-making process will likely be shaped by the ongoing tension between these internal camps.