The Chinese Room Problem With the 'LLMs only predict the next token' Argument

This blog post explores the Chinese Room problem in the context of large language models (LLMs), arguing that both LLMs and the human brain are fundamentally similar in that they produce output without true understanding. It draws parallels between the operations of the human brain and LLMs, suggesting that our perception of reasoning and understanding is flawed and that both processes are mysterious and opaque.