Joanna J. Bryson

Expanding large language models is not sufficient for achieving artificial general intelligence. While these models are growing more complex, they lack autonomous reasoning and understanding. True AGI requires not only processing vast amounts of data but also an embodied sense of interaction with the physical world, which current models do not possess.

Demands for AI explainability are well-intended but misguided. The complexity of AI processes often mirrors the intricacy of human thought and does not always allow for simple explanations. Moreover, requiring AI to provide explanations could stifle innovation and hinder the performance of systems designed to operate on patterns beyond human comprehension.