The point is that in the future, AI will be able handle things like missing databases just like the modern high level dynamic languages can import a library to handle whatever you want.

I can't tell if you're being facetious, but a future AI really may be able to fill in a missing database. Like, if it knew some of the entries, it could infer the rest.

Wow - imagine being able to infill a geophysical database with the dullest possible milquetoast totally expected signal derived from the NASVD most common eigen vectors.

The infill will look seamless.

And entirely lack any actual strikes of interest - the outliers are exceptional signal and the entire raison d'etre for building such a database.

Jeez, if AI can just infill where the gold is, why even bother to look in the first place.

Thats not what I mean.

The original question was

>"clean up" dropped databases, compromised computers or leaked personal data?

For each of those things, you can right now build an agent that handles all of that. Or use a large frontier model with enough context to build code that ensures all of those edge cases are handled.

Future coding will essentially be like this. The concepts of dynamic vs compiled language will shift towards having frontier edge models put together code versus small runtime edge models dynamically processing data.