Analysis
This article dives into the exciting future of voice AI, exploring how 'experience tokens' can revolutionize Large Language Model (LLM) inference. It highlights the challenges of current voice processing and showcases promising research that points towards significant advancements in the field by 2028. This potential leap forward could unlock entirely new possibilities for human-computer interaction.
Key Takeaways
- •The article introduces the concept of 'experience tokens' that transform non-verbal modalities like actions and voice into a format usable for inference.
- •It identifies three key reasons why voice-based inference in LLMs lags behind other modalities.
- •The article highlights research by Meta (COCONUT), FAST, and Moshi as potential breakthroughs, with a roadmap towards native voice inference by 2028.
Reference / Citation
View Original"This article analyzes the structural reasons why voice tokens cannot participate in the reasoning (thinking) of LLMs and whether that can truly be resolved, based on research trends as of February 2026."