Helpful link. Thank you.

I think that when people are worried about ZDR, what they really worry about is data governance. From what I’ve seen there’s a general distrust of OpenAI. AWS may keep your data around (without formal ZDR) but the concern of governance (using your data to train without your consent) seems like it would be much lower, because any breach of contract at AWS would have potential to destroy trust in what’s already a massively profitable company, so the incentives just aren’t there.

I’m not claiming OpenAI is training on API data. Just that they don’t have as strong of an incentive not to as AWS.

But Azure is just as big, if not equally big, in Enterprise. The argument that Azure didn’t give them enough access within enterprises doesn’t make sense to me.

By default you can’t access the latest OpenAI models unless you request access. We requested access for a very straightforward use case and never got it. We switched to Anthropic and Bedrock for that reason.

You don’t have to use Azure.

Given the scaling hurdles Claude Code / Opus is having, those Anthropic customers might leave to Codex. I'm _this_ close.

I'm confused, your own #2 link says that Open AI is not bound to store output logs indefinitely going forward:

> Update on October 22, 2025:

> After months of litigation, we are no longer under a legal order to retain consumer ChatGPT and API content indefinitely. Our obligations under the earlier order ended on September 26, 2025.

> We’ve returned to our standard data retention practices :

> Deleted ChatGPT conversations and Temporary Chats will be automatically deleted from our systems within 30 days (opens in a new window).

> API data will also be automatically deleted after 30 days.

Isn't it the case that OpenAI and Anthropic regularly just swap for whoever is at the top of the latest benchmarks? They're also so close in scores that it's effectively a wash anyways.

What OP is referring to is Anthropic aligning with corporate terms and conditions early, positioning themselves to be effectively resold by AWS rather than requiring orgs to procure them directly. This is huge in the enterprise world because the processes to get broad approval are generally far smaller and shorter for "just another AWS service" compared to a whole new vendor.

IMHO the benchmarks aren't useful, and ranking among the frontier models is mostly noise. The extra features around the coding agent have a much bigger impact on productivity than having to provide slightly more specification and guidance to the models; a 90% success rate versus a 92% success rate on the tasks I ask it to do is far more influenced by what I say than what the model is capable of.

Didn’t they say Sora will only be used to internally create training data? Integrated image generation seems more in the neat feature category than some fundamental advantage, but maybe someone has use cases I haven’t considered.

Open AI is killing Sora though, so it looks like they are looking at Anthropic's playbook of focusing on enterprise use cases and seeing that it's more profitable.