What about all the siloed content kept inside corporate servers? You won't get normal GPT to train on it, of course, but IBM could build a "IBM-bot" that has all the GPT-4 dataset + all of IBM's internal data.

That model might be very well tuned to solve IBM's internal problems.

I don't think you can just feed it data. You've got to curate it, feed it to the LLM, and then manually check/further train the output.

I also question that most companies have the volume and quality of data worth training on. It's littered with cancelled projects, old products, and otherwise obsolete data. That's going to make your LLM hallucinate/give wrong answers. Especially for regulated and otherwise legally encumbered industries. Like can you deploy a chat bot that's wrong 1% or 0.1% of the time?

Well, IBM has 350k employees. If training a LLM on curated data costs tens of millions of dollars but ends up reducing headcount by 50k, it would be a massive win for any CEO.

You have to understand that all the incentives are perfectly aligned for corporations to put this to work, even spending tens of millions in getting it right.

The first corporate CEO who announces that his company used AI to reduce employee costs while increasing profits is going to get such a fat bonus that everyone will follow along.

Since Chat-GPT-4 is being integrated into the MS Office suite, this is an "in" to corporate silos. The MS cloud apps can see inside a great many of those silos.