In the final analysis, I would argue that the most powerful and enduring lessons are only occasionally taught by others. Instead, they are self-discovered, arising from a dynamic interplay of experience, reflection, and curiosity.
Self-directed learning requires more than just experience. It demands tools to help us reflect, organize, and extend what we encounter. Today, LLMs offer an unprecedented opportunity to amplify this process, making the act of teaching ourselves more accessible, iterative, and expansive than ever before.
Our most pivotal lessons emerge experientially. This process is rarely linear. We try, fail, adapt, and grow in a cycle that formal education can only approximate.
The role of artificial intelligence - particularly large language models (LLMs) - takes on new significance. These AI-driven systems are not merely repositories of knowledge; they are partners in our most human endeavor: teaching ourselves.
Collection
[
|
...
]