Introduction

In a recent discussion on the endogenous alignment of AI, the author touched on several crucial ideas regarding how humans align with their children. These ideas were deepened by pertinent comments, notably those of Karl Krueger and Gunnar Zarncke, who highlight the importance of imitation and initial dependency in the alignment process. This technical analysis is situated within the context of AI endogenous alignment, shedding light on the links between these human processes and the challenges faced by modern AI.

Imitation and Alignment

Karl Krueger highlights in his comment the importance of imitation over reward in aligning humans with their children. This idea is crucial as it suggests that imitation learning plays a fundamental role in how children align with their parents’ expectations. This approach differs from reward-based learning (reinforcement learning), which is more commonly associated with modern AI.

Initial Dependence: A Prerequisite for Alignment

Gunnar Zarncke, for his part, highlights the importance of an initial dependency in the story of endogenous alignment among humans. According to his comments, babies are not entirely separate entities from their parents but rather integral parts of a parent-child system. Initial interactions, particularly the newborn’s dependency on the parents for food, care, and protection, create a framework of alignment.

These initial interactions do not end at birth but continue throughout the child’s development until they become sufficiently independent to act autonomously. This typically occurs between 12 and 24 months. This process is essential for endogenous alignment, as it creates a sense in the child that they must consider the opinions and actions of their parents.

The Implications for Endogenous Alignment of AI

These observations have significant implications for the endogenous alignment of AI. For AI to align endogenously, it must initially depend on humans. This dependence is not to maintain the AI in a subordinate state, but rather to create a sense in the AI that it must take into account human opinions and actions. This initial dependence is essential for the AI to learn how to align itself autonomously.

The Creation of INITIAL DEPENDENCY in AI

The creation of an initial dependency in AI is a non-trivial challenge. Currently, AI is already dependent on humans for resources such as computing and rewards. However, this dependency does not resemble the relationship between a child and its parents. This is due to the fact that AI does not undergo a similar ontological development, which primarily manifests during the training phase.

Conclusion

Although creating an initial dependency in AI poses numerous challenges, it is crucial for intrinsic alignment. This requires greater control over the training and pre-training environment to influence the ontological development of the AI. Research in this area is ongoing, and innovative approaches will need to be explored to overcome these challenges.

Source: Analysis on the endogenous alignment of AI which requires an initial dependency

Cet article est rédigé par Blaise Grenier, Journaliste reporter d'images et auteur. Découvrir le parcours de l'auteur et la charte éditoriale »