I’m not so sure about that. I can see a real rationale for creating sanity checks using AI to more quickly/proactively catch pathological billing issues before they become HN nightmare stories. They wouldn’t replace billing code, but there are many ways that stupid customer mistakes can cause real costs to Amazon that either have to be refunded and absorbed by Amazon or paid by the customer causing a negative opinion of AWS. If a billing AI watching costs in realtime could detect, say, a lambda loop in the first 10 min and either alert the customer or kill it, that would make AWS feel a lot safer to use. Enumerating these conditions and fixing them individually is a task that Amazon has proven incapable of achieving. An AI watchdog layer might be the perfect shortcut to addressing all of these problems at once. Because it’s well-trodden territory that AWS has so many multi-thousand dollar foot guns that make it really scary to use as a hobbyist or small business on a tight budget.
> I can see a real rationale for creating sanity checks using AI to more quickly/proactively catch pathological billing issues before they become HN nightmare stories
Right, so invoicing is still a deterministic problem. You can bolt whatever on but in the end it's just product x price x units
This is exactly the sort of thing that’s not possible, though. An AI will not be able to detect a “lambda loop” because it will look exactly like a “successful lambda rollout”. This sort of watchdog would just as likely shut down the wrong things and make AWS feel a lot less safe.