Exponential technology implications for academics, work, business, and society.

To date, we have been looking into a world view where AI is an assistant for students, teachers, managers, workers, and everyone.  This is combined with an educational view that academics can and probably should to change in multiple ways: a) more connected with industry, b) more use of entrepreneurial methods, c) leveraging new emerging tools

1. A Blueprint Science & Technology  - Why new options for academics are now possible and needed.

2. Future of Work - Why we can't live without AI, and what we can expect in the Workplace

3. Economist Summit 2024 - Viewpoints from CEOs and industry leaders on AI adoption, use cases, and business trends

4. A Practical Guide to Education in an AI World - How to manage with AI as an instructor and academic institution.

5. A Northstar for the 20-Year Future of Education with AI - What we can expect for students in classes, the professors changing role, and what disruptions are likely for universities.

6. State of the Union 2024 at the European University Institute - Technology, regulation, and the main issues of the EU in 2024

7. Certainty or Intelligence: Pick One!  - A discussion of logical intelligence vs predictive and pattern matching-based intelligence by Prof. Edward Lee of Berkeley