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The first episode is about how to improve AI by implementing the concept of metacognition, or “thinking about thinking.” Nova Johansson argues that by allowing AI to reflect on its own performance, recognize its limitations, and adapt based on feedback, AI can become more interactive, goal-oriented, and self-improving. The text explores how this can be achieved in ChatGPT by adding a feedback loop that enables the AI to track context, plan responses, self-correct, and seek user feedback. Nova Johansson provides detailed instructions on how to create a custom GPT model with metacognitive capabilities within the OpenAI platform. While acknowledging the technical challenges associated with this approach, Nova Johansson highlights the potential for AI to become more engaging and personalized through the integration of metacognitive principles.
The first episode is about how to improve AI by implementing the concept of metacognition, or “thinking about thinking.” Nova Johansson argues that by allowing AI to reflect on its own performance, recognize its limitations, and adapt based on feedback, AI can become more interactive, goal-oriented, and self-improving. The text explores how this can be achieved in ChatGPT by adding a feedback loop that enables the AI to track context, plan responses, self-correct, and seek user feedback. Nova Johansson provides detailed instructions on how to create a custom GPT model with metacognitive capabilities within the OpenAI platform. While acknowledging the technical challenges associated with this approach, Nova Johansson highlights the potential for AI to become more engaging and personalized through the integration of metacognitive principles.