Yann LeCun

Simply expanding large language models is not sufficient for achieving artificial general intelligence (AGI). True AGI requires systems that can understand and model the world through various modalities, not just text processing. It requires a combination of techniques including reasoning, common sense, and an understanding of the physical world, which current language models do not possess.

Given the exponential progress in machine learning algorithms and computational power, it is plausible that achieving AGI could indeed quickly lead to the development of superintelligence. The transition from AGI to superintelligence could be rapid due to recursive self-improvement and the immense potential of AI to learn and adapt far beyond human capabilities. It is crucial that we establish safety measures and ethical guidelines to manage this transition effectively.