The report on Ireland's universities and their adoption of Large Language Models (LLMs) reveals a cautious approach, with three standout institutions: Dublin City University, University College Dublin, and University of Galway, each employing different strategies.
This report analyzes Manus, an autonomous AI agent launched in March 2025 by Butterfly Effect. Despite interest from institutions, searches reveal no campus-wide deployments, yet it has a strong focus on students. Its turbulent ownership remains unresolved at the time the research was concluded (late April 2026).
This 62-page document with 160 references discusses the geopolitical tensions surrounding the Strait of Hormuz, including Iran's closure impacting global energy flows. It analyzes military and diplomatic strategies for reopening the Strait, assesses coalition capabilities, and outlines challenges and potential solutions. The report is informed by multi-lingual sources, integrating diverse regional perspectives. Unusally it was generated by a team of AIs, with minimal direction from, a human. It is the first thesis-length demonstrator in a series of studies on the actual power of LLMs to write well-researched well-argued documents.
The next big bottleneck in AI may not be model size or compute. It may be access to grounded, real-world experience. If millions of embodied robots begin operating in homes, vehicles and care settings, they could generate filtered experience traces that improve LLM-plus systems far beyond what internet text alone can provide. Child-size companion robots may be especially important because they open access to a domain that today’s AI models understand badly: children’s language-in-context and everyday micro-social interaction. But this only works if the architecture is privacy-first: central systems should receive distilled updates, not intimate raw detail from children’s lives, except under tightly governed emergency rules.
Opening up learning 