Scaling AI, Future Possibilities

Dwarkesh and Dario discuss the potential outcomes if scaling plateaus before achieving human-level intelligence in AI. They explore the possibility of running out of data, using up all available compute, or not having the right architecture. Dario expresses his belief that the current scaling laws are unlikely to stop, while acknowledging the challenges of representing certain abilities without the attention capabilities of transformers.