On Finding Principles for Building Agents with Their Own Goals and Purposes

The rapid advancement of large language models (LLMs) has once again validated the bitter lesson: General methods that leverage computation ultimately outperform alternatives—by a large margin. This superiority becomes increasingly evident as more computation becomes available. General methods scale effectively with more data, computation, and memory, whereas alternative approaches often struggle due to their reliance […]