This is in stark contrast to the way that babies learn. They can recognize new objects after only seeing them a few times, and do so with very little effort and minimal external interaction. If ML’s greatest goal is to understand how humans learn, one must emulate the speed at which they do so. This direction of research is exemplified by a variety of techniques that may or may not fit into an existing paradigm; LeCun classified these tasks under the umbrella of “self-supervised learning.”

Second, I believe that the concept of entrainment could open new doors for understanding post-impact behavior, or the transition from post-impact to pre-impact (or everyday) behavi

An emphasis on the cyclic temporality of organizational life also underpins the work on entrain­ment, developed in the natural sciences and gaining cur­rency in organization studies. Defined as "the adjustment of the pace or cycle of one activity to match or synchro­nize with that of another" (Ancona and Chong 1996, p. 251 ), entrainment has been used to account for a variety of organizational phenomena displaying coordinated or synchronized temporal cycles (Ancona and Chong 1996, Clark 1990, Gersick 1994, McGrath 1990).

the idea of entrainment presented in Chapter 6—the adjust­ment of the pace or cycle of an activity to match or synchronize with that of another activity (Ancona and Chong 1996, p. 253)—does suggest a reason why faster could be better, but it also suggests that faster could be worse.