The field of artificial intelligence is shifting towards a more nuanced understanding of intelligence, autonomy, and evaluation. Researchers are moving away from traditional notions of intelligence as a single, universal capacity, and instead embracing a more pluralistic view that recognizes diverse, context-dependent capacities. This change in perspective is driving innovation in areas such as AI development, deployment, and regulation. Notably, there is a growing emphasis on the importance of generality, rather than intelligence, in evaluating AI systems. Furthermore, the development of sovereign AI and the rethinking of autonomy in the age of global interdependence are becoming increasingly important topics. The relationship between humans and AI is also being reexamined, with a focus on responsible use and the need for AI to serve human dignity, social well-being, and democratic accountability. Some noteworthy papers in this area include: On the Measure of a Model: From Intelligence to Generality, which proposes a new framework for evaluating AI systems based on generality rather than intelligence. Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research, which argues that current AI research operates on a spectrum between two different underlying conceptions of intelligence. Sovereign AI: Rethinking Autonomy in the Age of Global Interdependence, which develops a conceptual and formal framework for understanding sovereign AI as a continuum rather than a binary condition.