Machines make us think, helps us get things done, and induces us to fall in love, with humans, or, in the future, with machines. We stare at our computers everyday, compulsively, para-abnormally, creepily. What do machines thing about that? What if machines stared at us? What does a network of collaborating, conflicting machines evoke in us? Will we see their individual personalities, their agency, and their perceived "secret lives?" This project uses a digital flock of pan-and-tilt machines coupled to cameras running openCV to track human faces and exhibit unique behaviors when faces are found (or not found). Two groups of machines inhabit this platform. One uses raspberry pi and its camera to keep track of face locations so that their associated flock can look at humans when they are facing the camera and do leisure tasks when they are not. The other group of machines follows a leader which has a mounted webcam connected to an Arduino Leonardo which is controlled by openFrameworks' openCV library. The former flock keeps a model of the world and faces within it, while the latter flock only moves closer to faces when they are found. Thus a model-based system vs. an online system can be found to exhibit different behaviors. People have fun with the model-based system, but think that the online system is finicky and flaky, mostly because it doesn't see faces unless they are close by. Actions are taken by humans or by machines in making things happen. We can tell stories by using machines with different interaction styles, which upon closer examination appear to us as different personality types. The machine amongst the machines is akin to the human within the humans.