[gumballindie]

Indeed. I am thinking that one way to protect data and ensure its integrity is to somehow use agents trained on trusted sources to validate that the content is secure? For instance to detect “injections” of malicious or ill written code. Same for other types of content, but difficult.

Suppose someone magically creates thousands of repositories that write about a specific way of doing c pointers but all allow for buffer overflows, or sql queries with subtle ways to inject strings.

One way to defend is each data source that goes into training is to have an ai agent asses the input sources.

But even so it’s extremely difficult to catch convoluted attacks (ie when an exploit can be made upon meeting certain criteria).

Until then i’d consider any code written by an ai and unsupervised by a competent person as potentially tainted.