The author categorizes AI into three categories: absence of machine metacognition, simulated machine metacognition, and built-in machine metacognition. Most of today's AI falls into the first category, with some able to simulate metacognition. The author concludes by suggesting that machine metacognition is crucial for the development of artificial general intelligence (AGI) and could potentially prevent AI from becoming a risk to humanity.
Key takeaways:
- Machine metacognition, or AI's ability to think about thinking, is considered a crucial element for the advancement of AI and its ability to exhibit wisdom.
- Most contemporary AI and large language models lack metacognition, and the use of the term 'thinking' in relation to AI is often seen as anthropomorphizing.
- AI and machine metacognition generally fall into three categories: absence of machine metacognition, simulated machine metacognition, and built-in machine metacognition.
- Some researchers believe that we won't reach artificial general intelligence (AGI) until we have mastered machine metacognition, while others worry that it could lead to AI becoming an existential risk to humanity.