Local models. Private data. Useful experiments.
Cloud AI is incredibly capable, but not everything belongs in the cloud.
I started experimenting with local AI to see how much could be done on hardware I already owned — while keeping personal documents, photographs and other private information at home.
The system continues to evolve, but today I use it to experiment with local AI chat and reasoning, image understanding, private knowledge, and image generation.
One of the next challenges is semantic photo search — being able to search a large personal photo collection by describing what I'm looking for rather than knowing the filename or folder.
Local AI is capable, but cloud AI is still better at many tasks. Integration and tooling are often harder than model inference, privacy comes with tradeoffs, and I've learned that getting something working isn't necessarily the same as making it useful.
The goal isn’t to replace cloud AI, it’s to understand where local AI makes sense — and where it doesn’t.