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This highlights the fact that progress in one modality, such as text-based reasoning, does not necessarily translate to other domains. In areas where there is an abundance of data, such as video and speech, the progress can continue rapidly. The discrepancy between text-based and other modalities underscores the importance of a multifaceted approach to AI development.

Embracing the Complexity

As the author concludes, leaving this discussion neither overly hyped nor overly skeptical is the goal. The reality of AI progress is a complex tapestry, woven with threads of both promise and challenge. By embracing this nuance and delving deeper into the underlying research and trends, we can gain a more accurate understanding of the state of language model development and the broader landscape of AI advancement.