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my first principle of agi

i don't actually recommend u use this principle without fully understanding. it's just a reference at what's possible

The First Principle of AGI

Any continuous task can be broken down into discrete, small tasks that an LLM can complete without error, achieved through multi-step execution.

Analogy to the human brain: rational logic (task decomposition) vs. intuitive perception (LLM completing error-free small tasks)


How Does an Agent Learn Tasks?

Preserve the prompt experience of human pioneers, compressed into skill.md through summarization or hard-coded into code.

Analogy to the human brain: sparse neural connections (summarized into skill.md), dense neural connections (hard-coded)


How Does an Agent Decompose Tasks?

Through human pioneers refining the task logic, exhaustively enumerating all cases at the granularity level that an LLM can reliably complete.


How Does an Agent Scale?

Continuously persist task experience from all industries and professions to disk, expanding the granularity of the minimum task an LLM can reliably complete.


Implement this guiding ideology and become the AI Adventists.

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