Summary

The use of a "teacher" Large Language Model (LLM) to train smaller AI systems has sparked debate among experts. On one hand, this approach can significantly reduce the computational resources required for training, making it more scalable and efficient.However, this method also raises significant concerns about control and bias.

The "teacher" LLM may perpetuate existing biases or incorporate new ones, which can then be transferred to the smaller AI systems. This highlights the need for careful evaluation and monitoring of the trained models to prevent potential harm.As with any AI development technique, it is essential to prioritize responsibility and transparency.

Clear guidelines and regulations should be put in place to ensure that these trained AI systems are used for the intended purpose and do not cause harm to individuals or society as a whole.

Summary

)We are already witnessing instances of general intelligence in various domains, but these may not resemble the commonly envisioned notion of AI. A critical aspect to consider is that true general intelligence might not necessarily manifest as a self-aware, anthropomorphized entity.In nature, we find examples of general intelligence in animals such as birds and mammals, which exhibit adaptable behaviors and problem-solving capabilities.

Studying these phenomena can provide valuable insights into the evolution of cognitive abilities. However, it's essential to recognize that these natural systems operate under vastly different constraints and principles than those governing AI development.The emergence of genuine general intelligence would necessitate a fundamental reevaluation of our understanding of consciousness and its relationship with computation.

This would involve addressing questions about the nature of subjective experience, free will, and the potential risks and benefits associated with advanced cognitive capabilities.

Summary

Playing Total War: Warhammer 3 as an RPG can be a deeply immersive experience, but it may also lead to a lack of understanding of the game's mechanics, particularly in regards to enemy faction behavior. This can result in missed opportunities for engaging gameplay.On the other hand, trying to balance immersion with knowledge of AI limitations can be a delicate task.

It's clear that the author has found a way to enjoy the game while still becoming invested in their character's story.The recent changes to AI by Creative Assembly may address some of these concerns, but it's essential to note that the experimental beta branch is still in development. Testing this out could provide valuable insights into how these changes affect the overall gameplay experience.