REA analyzes software based on instructions given in natural language to understand how it works, even when the original source code isn't available.
While REA can't always recover the original source code exactly, it can reconstruct readable code based on the software's functionality.
This reconstruction gives an AI agent enough information to replicate parts of the software, ideally achieving comparable results with newly written code.
Using a new codebase for the implementation could also make copyright enforcement more difficult in practice, since the original source code hasn't actually been stolen.
Functionally recreating software is legally different from copying its protected source code.
REA analyzes software based on instructions given in natural language to understand how it works, even when the original source code isn't available. While REA can't always recover the original source code exactly, it can reconstruct readable code based on the software's functionality. This reconstruction gives an AI agent enough information to replicate parts of the software, ideally achieving comparable results with newly written code. The result is a custom implementation that delivers the same functionality.
Using a new codebase for the implementation could also make copyright enforcement more difficult in practice, since the original source code hasn't actually been stolen. And that's precisely where the potential for market disruption lies. Functionally recreating software is legally different from copying its protected source code.
