The Challenges of Scaling Towards Artificial General Intelligence

This chapter examines the intricate challenges of scaling artificial intelligence from theory to practical application, particularly in the quest for artificial general intelligence by 2040. It highlights the limitations of current methodologies, the role of synthetic data, and the complexities of model training and meta-learning in the evolving AI landscape.