Think about it: everyone has characterized AI slop, as slop. Which means that we negatively value it in terms of originality. Combine that with the fact that there will be a lot of it, this means that original work will 1. stand out or be very distinct from slop, and 2. have its value amplified as a result of this polarization.
basically, we value originality more AND are able to identify it more readily.
related is also the fact that originality will literally be valuable as training data for future models
For example, I want to make:
- A mini OS on top of SeL4
- A UI framework based on SolidJS, for native apps, in rust.
- My own photo manager (which can do backups & sync across all my devices). And a gallery to share photos with friends
- A local first data store, built on top of CRDTs
- My own programming language
And lots more.
Each of these projects on their own would take months of time. If LLMs can speed up development, that's great! I don't care if nobody else uses what I make. I want a personal computer full of my own software.