I already know an application for this, and AFAIK it's being explored in the SaaS space: guided learning experiences and tutoring for individuals.
My kids, for instance, love to hammer Alexa with random questions. They would spend a huge amount of time using a better interface, esp. with quick feedback, that provided even deeper insight and responses to them.
Taking this and tuning it to specific audiences would make it a great tool for learning.
Great, using GPT-4 the kids will be getting a lot of hallucinated facts returned to them. There are good use cases for tranformer currently but they're not at the "impact company earnings or country GDP" stage currently, which is the promise that the whole industry has raised/spent 100+B dollars on. Facebook alone is spending 40B on AI. I believe in the AI future, but the only thing that matters for now is that the models improve.
It seems like the people who are ohhing and ahhing at the former and the people who are frustrated that this kind of this is unbelivably impractical to productize will be doomed to talk past one another forever. The text generation models, image generation models, speech-to-text and text-to-speech have reached impressive product stages. Multi-model hasn't got there because no one is really sure what to actually do with the thing outside of make cool demos.
