I have something even more fascinating, it's still underdeveloped but it definitely has a potential.
nostr:nevent1qqsv0006qurr3wg84zgvqt3h50t0ehlyxm8vk0fe59j7efkphpwpkygpz4mhxue69uhhyetvv9ujumt0wd68ytnsw43qygxx7urh795e65x0j25k22l7hlavqh7xss4eacu3pzwetxu26h2gl5psgqqqqqqsts3h4e 

 In-device models can take care of private events. But otherwise, I am not sure they are that interesting for public events. Constantly updating the local model to match the newest events coming in online is challenging. 

 I was attempting that, and it's quite challenging. So, I will be working on it with Gemini. 

This will focus on private tasks like TTS, PDF summarizer, Basic Q/A etc., using small, task-specific language models with WebGPU. 

 Would be nice if we can set the address of an OpenAI API compatible LLM to give users choice