[mvieira38]

Not to mention the question of if these setups are financially feasible for the consumer of the AI and for the AI provider. It doesn't make that much business sense for a multi-billion dollar operation to fully automate their data engineering if it now depends on OpenAI, Meta or whatever, it's a huge operational liability. If the models go down you lose the data engineering sector entirely, and then you have no one to turn to because the only one who understands the code is the AI you don't even own.

I know companies have taken these operational liabilities with cloud storage and compute, but it's not the same thing as in it's not possible to mitigate. You can have a local, but shorter, backup of your stuff, but you can't have backup engineers

[SamInTheShell]

If you're in Google Cloud, the risk of using Gemini seems not much different than a using their cloud storage imo. Then you also have redundancy if you have OpenAI, Llama, and Claude as drop-in replacements.

The only thing you need to maintain is context.