why wouldn’t a company do that themselves e.g. how inter come has vertically integrated AI? any examples?
Just look at Salesforce AppExchange - it's a marketplace of software built on top of Salesforce, a large chunk of which serves to integrate other systems with Salesforce. LLMs open up the ability to build new types of integrations and to provide a much friendlier UI to non-developers who need to work on integrating things or dealing with data that exists in different places.
Maybe not if you rely on models that can be ran locally.
OpenAI is big now, and will probably stay big, but with hardware acceleration, AI-anything will become ubiquitous and OpenAI won’t be able to control a domain that’s probably going to be as wide as what computing is already today.
The shape of what’s coming is hard to imagine now. I feel like the kid I was when I got my first 8-bit computer in the eighties: I knew it was going to change the world, but I had little idea how far, wide and fast it would be.
any pertinent examples?
You will be eaten if you do this imo.
1. Domain-specific AI - Training an AI model on highly technical and specific topics that general-purpose AI models don't excel at.
2. Integration - If you're going to build on an existing AI model, don't focus on adding more capabilities. Instead, focus on integrating it into companies' and users' existing workflows. Use it to automate internal processes and connect systems in ways that weren't previously possible. This adds a lot of value and isn't something that companies developing AI models are liable to do themselves.
The two will often go hand-in-hand.