Part 9/11:
The initial chapters will delve into how machines make decisions through optimization algorithms and how these compare to human heuristics—our internal rules of thumb—highlighting internal tensions that drive better decision-making. This foundation will prepare us for understanding how large language models, pivotal to modern AI, serve as the starting point for building towards Artificial General Intelligence (AGI).
Building a self-regulating, trustworthy AI
From Chapter 8 onwards, the focus shifts to the core objective functions, exploring ways to implement, fine-tune, and teach AI systems to prioritize reduce suffering, increase prosperity, and increase understanding. Different methods—ranging from simple impulse generation to complex learning architectures—are examined.