[easyazon-image align=”left” asin=”B00EUDOSS8″ locale=”us” height=”75″ src=”http://ecx.images-amazon.com/images/I/511U%2BDrag1L._SL75_.jpg” width=”59″]Status prediction could be a crucial step needed in order to advance future robot consciousness. What Would I Say? is a program that analyzes all a Facebook user’s status updates and constructs a randomly generated “Frankenstein” status from the user’s history.
The program was co-developed by Princeton graduates for their most recent Princeton Hackathon challenge. It has since taken Facebook by storm and even temporarily brought down servers because of how high the traffic was. Although a Facebook user would have to grant What Would I Say? access to their profile to see the results, the generator doesn’t collect any information from the required agreement. The website’s About Me section states “we don’t store any of your personal information anywhere… in fact, we don’t even have a database!”
While it’s fun to see what a status generator program ‘thinks’ you would say, there are some wondrous modifications that the program can inspire. If we have a new program that generates new status from old ones, then it’s not too far of a stretch to think about when programming will be able to accurately predict what we think before we do.
[easyazon-image align=”left” asin=”B00A9PUXNA” locale=”us” height=”110″ src=”http://ecx.images-amazon.com/images/I/41WYTm6pymL._SL110_.jpg” width=”69″]Should we take this idea further, we could see a time where robots can reduce an entire status post history to an individual trend and nail down our future, postable thoughts with more precision, matching our wits. Of course, there are an infinite amount of factors that go into shaping virtual thoughts we share on social media, and what makes the cut is usually a product of labor in itself. Our reactions to cultural events and major news could be speculated and, based on the patterns from our status, our social media pages could go into autopilot on our behalf.
Currently, the main purpose of What Would I Say? is grounded in self-parody. However, the precedence it sets would get us closer to programs that think for us better than us. Should programmed pattern recognition be this personalized, then we could reach a point where humans wouldn’t be able to tell the difference between what is actually posted by you, and what is posted by a program.
Photo credit: What Would I Say?