Summary:
- The article discusses the limitations of the "Attention" mechanism (Transformers) in current AI models and proposes a shift toward "Cadence" as a more efficient, biologically-inspired alternative for processing sequential data.
- It explores the pathway toward Embodied AGI, arguing that true intelligence requires temporal processing and physical interaction rather than just static, large-scale pattern matching.