How is ChatGPT's behavior changing over time?

They do, and that's the biggest value proposition of Azure OpenAI right now: strong contractual guarantees, from a reputable partner (that's easy to hit with lawsuits should they go rogue :)).

The current situation is that it's pretty unwise for any company to ignore GPT models. OpenAI itself is a wildcard, but getting the same from Microsoft isn't "playing fast and loose with data" any more than using Windows and Office 365 across the organization is. Most large corporations and governments have been building their office work and communication around those tools for decades now, so - questions of antitrust aside - all the kinks have been worked out. I don't think you appreciate how big a difference this makes.

I mean, it's either that or all the company communication I got on this was bullshit.

> OpenAI has SOC2, GDPR and CCPA compliance. They comply with HIPPA and offer BAs.

That's the first I hear of it, but since I never dealt with OpenAI itself on that level, I accept this was my ignorance speaking; thanks for clarifying.

> You're pretty much proving the value of Azure in your comment: it's a veneer of familiarity that coaxes people who are convinced the new kid on the block must be untrustworthy.

I think you're underestimating the importance of this. What you call "veneer of familiarity" translates to billions of dollars of differences in terms of security risk.

As mentioned before, MS has been in this space for a while, and has decades of trust and experience built with governments and corporations and other big organizations. Microsoft is a known, trusted quantity. That alone is worth a lot.

But then, there are also technical aspects too - like how deploying to a tenant on Azure integrates properly with all the other services you use to run half the company. In practical terms, this means all use is monitored and auditable by in-house teams, and all the in-house policies are being enforced. OpenAI can't begin to offer this level of integration - they have neither technical nor legal resources for that.

> If OpenAI can't promise something Azure can't either: They're entirely dependent on OpenAI for this. Every idiosyncrasy behind Azure OpenAI maps back 1:1 to OpenAI.

None of that matters here. The models are what they are - peculiar large matrix multiplication as a service. By themselves, they're pretty much pure functions. The part that matters is operations - both technical and legal aspects - and this is where Microsoft and OpenAI are independent and have different offerings.

Also, looking at the way money flows, I think it's OpenAI that's dependent on Microsoft right now, not the other way around. They kinda pretend to be just friends with benefits, but it's obvious who the dependent party is.

Companies that don't play fast and loose are not using LLMs yet. They use "old school" ML at most with much narrower scope because at this point it's simply less of a liability.

You seem to think I'm underestimating what Azure's name adds to OpenAI: I fully understand how bureaucratic organizations work off vibes under the guise of name recognition and my point is I simply have no respect for it.

If you genuinely care about customer data, then the value of being able to sue MS instead of OpenAI is moot. You also probably aren't going to use a service that shouts from the roof tops about not using your data then quietly keeps it for 30 days unless you manually opt-out. You probably don't use some model with unsolved copyright/PII questions. And a million other unknowns

> The part that matters is operations - both technical and legal aspects - and this is where Microsoft and OpenAI are independent and have different offerings.

You might want to check OpenAI's subprocessor list if you think that they're not the same technically...

https://platform.openai.com/subprocessors/openai-subprocesso...

And Azure's subprocessor list is a superset of that list, not a subset.

You describe a complex relationship between several nodes(people, cities, etc), and then ask ChatGPT to draw the relationship as a graph data structure. It will create a formula that Mathematica can render, and then send the formula to Mathematica before presenting an ascii drawing. Usually. Sometimes it just complains that it can't draw and explains what the graph looks like to you in a written formal/human-readable syntax.

In other words, yes it just summarizes the problem, converts it to a formal syntax, and sends it off to some other tool.