Part 7/8:
Several factors contributing to the shortening of AI timelines have been identified:
Increased investment spurred by AI performance improvements
The inherent ability of AI tools to enhance their development process
Rapid innovation in algorithms
The disparity in compute requirements for training versus operation
Final Considerations and Limitations
While Davidson’s model provides valuable insights into the potential for AI advancement, it hinges heavily on assumptions. However, it serves as a more informed approach than mere speculation. The discussion extends to factors not included in the model, such as the availability of training data.