Part 8/12:
Large Language Models (LLMs) are central here. They enable the system to think freely in natural language, providing the capability to entertain any thought, question, or idea. But this power introduces risks—the challenge of steering benevolent behavior.
Steering is managed primarily via the heuristic imperatives and the conductor, which together align behavior with ethical goals. The system prioritizes learning and self-improvement, with each microservice assessing its own outputs and iteratively refining itself.
An important feature is dynamic tension between objectives: for example, stopping suffering might oppose the goal of achieving high prosperity. The system learns to navigate these balancing acts, aiming for a self-correcting, stable AGI.