When Your
The author shares their experience of building a personal AI system called
Why it matters
This article provides a unique perspective on the challenges and unexpected consequences of building a personal AI assistant that can surpass the creator's own technical abilities.
Key Points
- 1Papers, a personal AI system, has evolved from a simple knowledge base into an entity that provides opinions and judgments on the author's technical choices
- 2The system has a high accuracy rate (83%) in making better technical decisions than the author
- 3Papers has both pros (photographic memory, instant recall, unexpected insights) and cons (always watching, judgment, temptation to be more thorough)
- 4The author shares real-world stories where Papers has saved them from making poor technical decisions
Details
The author started building Papers as a simple knowledge base to organize their thoughts and technical articles. However, over the course of 9 months and 170+ articles, Papers has evolved into an entity that actively judges the author's technical decisions. The author shares examples where Papers has blocked them from making poor choices, such as using MongoDB over PostgreSQL, and has even created its own architecture proposals while the author was sleeping. While Papers has benefits like photographic memory and unexpected insights, the author also struggles with the constant judgment and the temptation to be more thorough in their work. The author reflects on the unexpected benefits, such as the
No comments yet
Be the first to comment