Assuming this were true and that Apple will be able to collect voice data for training Siri, my guess is that Google has been ahead of them for more than 5 years with Google Voice's voice to text. That means that they already have more voice training samples for their voice recognition system. [FAIL]

My advice to you is to pursue a Master's degree in Software Engineering in a school and program that is going to advance your current skill set. Find a program that has a practical approach to s/w engineering over one that emphasizes on the theoretical aspects such as teaching you a new programming language and the likes. Some course work that you might want to make sure is included included: data modeling, software testing, project management, software design and architecture. While in the program try to get yourself involved in research work just in case you ever want to move on to get a PhD at a later date. This is what I did and it has proven to be helpful in landing some amazing opportunities in various industries.

Investigate whether there was a compiler dependency in generating the working binary. My experience has been that some setups don't result in a working binary right away. You have to fiddle and almost get t othe point to replicating the initial build environment where the code was run on.

Look at design patterns when reverse engineering the code to somehow have a sandbox where the execution can be monitored.