Skynet jokes aside, this thing is basically autonomous and will likely become relatively self aware due to data exhaust. The quote at the bottom is hard to comprehend for me.
Discuss the implications of this in regards to AI & Skynet, knowing that data exhaust has built the most successful and aware spell check and language translator, in human history.
This is from Eli Pariser’s Filter bubble.
Quote:
But as these systems become increasingly “intelligent,” they also become harder to control and understand. It’s not quite right to say they take on a life of their own—ultimately, they’re still just code. But they reach a level of complexity at which even their programmers can’t fully explain any given output. This is already true to a degree with Google’s search algorithm. Even to its engineers, the workings of the algorithm are somewhat mysterious. “If they opened up the mechanics,” says search expert Danny Sullivan, “you still wouldn’t understand it. Google could tell you all 200 signals it uses and what the code is and you still wouldn’t know what to do with them. The core software engine of Google search is hundreds of thousands of line of code. According to one Google employee I talked to who had spoken to the search team, “The team tweaks and tunes, they don’t really know what works or why it works, they just know the result.”