This is my current Evopien prototype, a local-first AI running on NVIDIA Jetson AGX Thor. I recorded a short session covering conversation, a request to monitor a visual object, web-assisted weather and football questions, a Portuguese exchange, live scene description and interruption by voice. The contribution is the application integration around existing AI components. I’m not presenting a newly trained foundation model, and the clip does not establish long-session reliability. The next question for me is which evaluation would expose the most important weaknesses: noisy speech, fast scene changes, interruptions during web lookup, or a much longer conversation with all of them mixed together. Which would you prioritize, and what would make a pass meaningful rather than just another good-looking demo? submitted by /u/SoftKill21
Originally posted by u/SoftKill21 on r/ArtificialInteligence