Yes. I think even if the tech hits a wall in advancement, there's a lot of applications enabled by it that haven't been built yet. Also, I'm not sure if you're

Yes. I think even if the tech hits a wall in advancement, there's a lot of applications enabled by it that haven't been built yet. Also, I'm not sure if you're grouping multi-modal models into your question--those definitely have some great incoming use cases as well, specifically the ones that can describe images. I'll be even more excited when I can have GPT4-level quality on my local machine, open source, so it can't be taken away. The big win will be when phone voice assistants get a good implementation. I predict LLMs will be a critical part of the first good assistant. I hope that's soon. My dad is old, and he needs the voice interface to be able to keep up much longer. He can't make a mental model of how his Google TV ecosystem works, for instance, but he could sure tell an LLM what game he wants to watch. Let's actually use the tech for what it's good at before we dismiss it.