Diplomacy is one of the most sophisticated activities in human society, involving complex interactions among multiple parties that require skills in social reasoning, negotiation, and long-term strategic planning. Previous AI agents have demonstrated their ability to handle multi-step games and large action spaces in multi-agent tasks. However, diplomacy involves a staggering magnitude of decision spaces, especially considering the negotiation stage required. While recent agents based on large language models (LLMs) have shown potential in various applications, they still struggle with extended planning periods in complex multi-agent settings. Leveraging recent technologies for LLM-based agents, we aim to explore AI's potential to create a human-like agent capable of executing comprehensive multi-agent missions by integrating three fundamental capabilities: 1) strategic planning with memory and reflection; 2) goal-oriented negotiation with social reasoning; and 3) augmenting memory through self-play games for self-evolution without human in the loop.

AI has extraordinary potential and developing countries must move forward quickly in this field to leverage their technological prowess, productivity, and competitiveness. Certainly, investing in R&D, developing capacities, and retaining AI talent is much easier said than done. Besides adopting a national AI strategy, if there is none, developing countries could put into practice a roadmap with clearly defined priorities and projects that bolster the economy. They can also build partnerships and reach out to other countries and organizations that are willing to cooperate in frontier technologies. A niche strategy might help to leapfrog in a few select sectors, as in the case of some small states that have become active players in the digital sphere. Interestingly enough, Kenya became last August the first African country to teach coding as a subject in schools. As stated in the UNCTAD 2021 Digital Economy report, developing countries risk becoming mere providers of data, while having to pay for digital intelligence produced with their data. Current international regulatory frameworks tend to be either too narrow in scope or too limited geographically, failing to enable cross-border data flows with an equitable sharing of economic gains. In a nutshell, developing countries need to find the optimal balance between promoting domestic economic development, protecting public policy interests, and integrating into the global digital ecosystem.

Will Hurd and Robin Kelly are from opposite sides of the ever-widening aisle, but they share a concern that the United States may lose its grip on artificial intelligence, threatening the American economy and the balance of world power. They want to cut off China's access to AI-specific silicon chips and push Congress and federal agencies to devote more resources to advancing and safely deploying AI technology. Although Capitol Hill is increasingly divided, the bipartisan duo claims to see an emerging consensus that China poses a serious threat and that supporting US tech development is a vital remedy. Kelly, a member of the Congressional Black Caucus, says that she has found many Republicans, not just Hurd, the only Black Republican in the House, open to working together on tech issues. "I think people in Congress now understand that we need to do more than we have been doing," she says.