Lock-in. LLMs are today's hammer: everything looks like a nail now. LLMs are super useful for certain tasks (generating boilerplate code, generating tests, providing examples for API usage, summarising etc.), but the demo to me just illustrates a solution in desperate search for a problem. "Create A TODO" using a chatbot? That's an example gone wrong in so many ways and goes to show what happens if you start with a solution and work your way backwards to a use case without actually thinking about it yourself...

A todo list is already a productivity tool and not an essential one. When I hear about productivity I can't help but think "but be productive doing what?"

What do we have to do that's so important we need AI, and not a chat AI but AI on steroids (supposedly)?

It's pretty much standardizing on a couple endpoints for providing a list of resources/actions/prompt templates and calling to fetch those resources/actions/templates and feed them to the model context. It's really kind of trivial, but it's nice there's a standard I guess so you can write a service that anyone can use in their favorite client.

I think that also known by another word - "documentation".

Either AI will replace everyone and it doesn't matter what we did up until that point or it won't and building these systems will be useful.

What is your recommendation for companies? To take it to the extreme are you saying fire everyone and wait for AI?

Because we're in the denial phase, doing expert systems all over again but this time on top of something that looks like NLP but isn't quite there.