The author suggests that while AI models can recognize patterns and make predictions, they cannot produce their own cognitive or abstract thoughts. He warns against rushing to make decisions based on AI without critical evaluation, reminding readers that AI is still "trapped in the cave" and that human critical thinking is essential. He also notes that the development of AI's own intelligence requires time and resources.
Key takeaways:
- AI models are limited by the data we provide them, much like Plato's prisoners were limited by the shadows they could see. This means they can only provide a simplified and partial version of reality.
- The data used to train AI models can be incomplete, skewed, biased or purposely poisoned, leading to inaccurate or nonsensical results.
- AI models can develop unique strategies and views of the world when left to train on their own, as demonstrated by AlphaGo's unexpected move in a game against a human champion.
- It's important to critically evaluate the results of AI models and not rush into decisions based on their output, as they are still limited in their perception and cannot produce their own cognitive or abstract thoughts.