Non-use of enterprise data for training models is table-stakes for enterprise ML products. Google does the same thing, for example.
They'll want to climb the compliance ladder to be considered in more highly-regulated industries. I don't think they're quite HIPAA-compliant yet. The next thing after that is probably in-transit geofencing, so the hardware used by an institution reside in a particular jurisdiction. This stuff seems boring but it's an easy way to scale the addressable market.
Though at this point, they are probably simply supply-limited. Just serving the first wave will keep their capacity at a maximum.
(I do wonder if they'll start offering batch services that can run when the enterprise employees are sleeping...)
Not hi-trust afaik, but they will do hipaa eligible baa with select customers. As sister comment says, it’s easier to go through azure and you get basically the gamut of azure compliance certs for free.
I thought they already didn't use input data from the API to train; that it was only the consumer-facing ChatGPT product from which they'd use the data for training. It is opt-in for contributing inputs via API.
They'll want to climb the compliance ladder to be considered in more highly-regulated industries. I don't think they're quite HIPAA-compliant yet. The next thing after that is probably in-transit geofencing, so the hardware used by an institution reside in a particular jurisdiction. This stuff seems boring but it's an easy way to scale the addressable market.
Though at this point, they are probably simply supply-limited. Just serving the first wave will keep their capacity at a maximum.
(I do wonder if they'll start offering batch services that can run when the enterprise employees are sleeping...)