Summary: In a world flooded with information from advanced AI models, the concept of meaning-making becomes crucial. Meaning-making involves interpreting events based on past knowledge and experiences, shaping our identity and connection to the world. The rise of artificial intelligence has contributed to a sense of meaninglessness, as meaningful connections between individuals are eroded. Andrew Perfors discusses different types of meaning-making, highlighting the importance of authentic creation and shared meaning to combat a world veering towards meaninglessness.
As we get inundated with new knowledge and information regurgitated by large language models and generative pre-trained transformers — time for meaning-making becomes critical. (View Highlight)
• Type 1. There is a creator but no audience (Individual Meaning)
• Type 2. There is an audience but no creator (Projected Meaning)
• Type 3. There is both a creator and an audience (Deep Meaning) (View Highlight)
Note: Types of meaning-making
1 - personal notes
2 - LLM etc
3 - published/shared notes
