New models of computation are a given, and improved application-specific circuits for the most widely-used models are also a given (I believe current models run mostly on enterprise GPUs). Together these could easily make AI models 100x more efficient even without any advancements in the underlying chipmaking processes.

> I also believe there will always be a need for determinism. There will absolutely be applications where the randomness of ai is unacceptable.

For high-assurance apps, I agree there will always be a need, sure. Of course, these high-assurance apps will be supervised by AI that can inspect it and raise alarm bells if anything unexpected happens.

For consumer apps though, an app might actually feel less "random" to the user if there's an AI that can intuit exactly what they are trying to accomplish when they perform certain actions in the app (much like a friendly tech-savvy teacher sitting down with you to help you accomplish something in the app).