We have divided these resources into three categories: 1. Tools, 2. Food for Thought, and 3. AI Concepts. 

1. Tools 

1. Connected papers: “Explore academic papers in a visual graph”. 
2. Scite, “AI for research”. 
3. Inspiration for creating podcasts from your publications to advertise your research: Examples of using NotebookLM to produce a podcast and advertise research outcomes. 

2. Food for thought resources 

1. The New Artificial Intelligentsia, by Ruha Benjamin. 
2. The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking, Reviewed by Mathias Risse, Harvard University. 
3. The AI Mirror: How To Reclaim Our Humanitiy in an Age of Machine Thinking, Vallor, Shannon. New York: Oxford University Press, 2024. 

3. AI Concepts 

1. What are AI agents? Explore different explanations from: a) IBM, b) AWS, c) Google, d) NVIDIA, e) Wikipedia, and f) Microsoft 
2. Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired pathways (special attention to the Conceptual background section). 
3. World Foundation Models and NVIDIA Cosmos, by NVIDIA; and an interesting article about it: Nvidia’s new Cosmos ‘world models’ aim to understand physics through video 
4. Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI 
5. Claude’s Constitution 
6. What do you think: The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote