31min chapter

Machine Learning Street Talk (MLST) cover image

Ryan Greenblatt - Solving ARC with GPT4o

Machine Learning Street Talk (MLST)

CHAPTER

Exploring Connectionism and Agency in Neural Networks and Human Minds

The chapter delves into the concept of connectionism, comparing neural networks to the human mind in terms of reasoning and agency. The discussion explores the overestimation and underestimation of neural network capabilities, discusses the concept of agency instrumentalism versus agency realism, and highlights the spectrum of agency and autonomy within potential systems. It also draws parallels between the learning mechanisms of large language models and human cognition, discussing the limitations and advancements observed in AI models.

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