Malta's UN General Assembly speeches over 60 years reveal shifting priorities: from Cold War nuclear concerns and Mediterranean neutrality in the 1960s-1980s, to human rights and environment after the Cold War, and recently toward migration, technology, and global issues. The analysis tracks how a small island nation's UN rhetoric reflects geopolitical changes and its evolving role from non-aligned state to EU member.
An analysis of Jev, a novel transformer-based LLM that outputs typed probabilistic decisions rather than text, reveals it holds similar political positions to most other large language models. Testing Jev against political compass questions shows it leans left-wing and socially liberal, classifying as a "Loyal Liberal" by Pew's taxonomy, despite claims that its structured output format makes it more neutral.