The article discusses the challenges and advancements in integrating neural audio codecs with language models (LLMs) to enhance speech understanding and generation. It highlights the limitations of current speech LLMs, which often rely on text transcriptions, and proposes using audio encoders and decoders to improve audio continuity and comprehension. The author explains how neural audio codecs can help streamline audio data processing for better predictive capabilities in speech models.