The second part is wholly software dependent, so let’s not conflate the two.
Having local hardware for local LLM (and other models too! there’s plethora use cases for AI models, e.g. easily tagging people in your photo library, automatic subtitles for videos, even realtime stuff, we could even have models that automatically categorise photos and sort them into albums based on previous patterns, and so on) is awesome. Not having to trust some random third party with your data is awesome.
Blending that in with a specially written agent that can interact with stuff is not awesome. The two should be separate, but problem is, most users won’t understand the benefit of this hardware without being given concrete examples of use cases like this.
The second part is wholly software dependent, so let’s not conflate the two.
Having local hardware for local LLM (and other models too! there’s plethora use cases for AI models, e.g. easily tagging people in your photo library, automatic subtitles for videos, even realtime stuff, we could even have models that automatically categorise photos and sort them into albums based on previous patterns, and so on) is awesome. Not having to trust some random third party with your data is awesome.
Blending that in with a specially written agent that can interact with stuff is not awesome. The two should be separate, but problem is, most users won’t understand the benefit of this hardware without being given concrete examples of use cases like this.