Raphaël Millière, a philosopher and cognitive scientist at Columbia University, dives into the intricacies of artificial intelligence and its thought processes. He distinguishes between artificial and biological intelligence, highlighting the simplicity of AI's neural networks compared to human brains. Millière discusses the evolution of language models and their learning mechanisms while emphasizing their limitations and the implications for AI safety. The conversation also probes ethical questions surrounding AI's perceived rights and the significance of embodied experiences in human cognition.

In this engaging discussion, Dr. Raphaël Millière, a Columbia University lecturer in philosophy, delves into the intersection of AI, linguistics, and cognition. He explores how deep learning challenges traditional notions of self-representation and consciousness. Millière tackles the complexities of mimicry in AI, uncovering biases it may perpetuate. He also analyzes the limitations of large language models, emphasizing the grounding problem and the intricacies of human-like understanding, raising thought-provoking questions about the future of AI and its ethical implications.