Part 4/12:
Fei Lee, CEO of World Labs and AI researcher, points out that current AI, despite impressive scaling and capabilities, hasn't yet cracked the code of genuine creativity or abstract reasoning necessary for breakthroughs like relativity or groundbreaking art.
Technical Challenges and Algorithmic Breakthroughs
Achieving real superintelligence likely requires new algorithmic paradigms. Schmidt highlights the need for addressing the non-stationarity of objectives—where AI systems must adapt goals dynamically during operation, akin to human flexibility and intuition.