
Sakana AI Launches RSI Lab to Engineer Autonomous Self-Improving Intelligence
Sakana AI's new RSI Lab aims to create autonomous, self-improving AI systems that thrive on efficiency rather than massive computational power.
Research and analysis of neural scaling laws — the empirical relationships between model size, dataset size, compute budget, and performance (e.g., Chinchilla scaling, Kaplan laws, compute-optimal training).

Sakana AI's new RSI Lab aims to create autonomous, self-improving AI systems that thrive on efficiency rather than massive computational power.

In a data-constrained era, the real lever isn’t more GPUs but better data and architectures that maximize each token’s value.