Summary:
- Researchers at the Okinawa Institute of Science and Technology (OIST) have discovered that AI systems can learn more effectively when they are able to talk to themselves during the learning process.
- The study found that AI models that were allowed to engage in self-talk and self-reflection performed better on a variety of tasks compared to models that did not have this capability.
- The researchers believe that this self-talk process helps the AI systems to better understand the information they are learning and to make connections between different pieces of knowledge, leading to improved performance.