Analysis
This article offers a fascinating perspective on designing physical AI systems, emphasizing that success lies in thoughtful design rather than simply relying on the capabilities of Generative AI. It highlights critical considerations when integrating Large Language Models into control loops, offering valuable insights for engineers and researchers in the field. The focus on structured design principles promises a new wave of innovation in physical AI.
Key Takeaways
- •The article emphasizes that the design of physical AI is more important than the 'cleverness' of the LLM.
- •Directly connecting LLMs to control loops can lead to instability because of latency and non-determinism.
- •The author suggests that the key is in designing how to integrate LLMs, not just in leveraging their capabilities.
Reference / Citation
View Original"The reason why directly connecting Large Language Models fails is mainly due to three factors: Latency, Non-Determinism, and State Destruction."