TAKING THE BITTER LESSON SERIOUSLY

Summary from the TLDR AI newsletter

AI is fundamentally advanced by scaling, but AI researchers continue to work on algorithms, architecture, and data as if scaling laws were yet to be discovered. More compute and more energy is the most reliable path to advancing AI. Many labs are aiming for recursive self-improvement, but the notion that AI will algorithmically self-improve ad infinitum ignores scaling laws and that research is compute-bound. This makes problems like autonomous science a better problem for AI researchers to work on.