I certainly think we see it in software programming itself. If you can look to integrated development environments, other automated tools, to automate tasks that you have already mastered, and that have thus become routine to you that can free up your time, [that] frees up your mental energy to think about harder problems. On the other hand, if we use automation to simply replace hard work, and therefore prevent you from fully mastering various levels of skills, it can actually have the opposite effect. Instead of lifting you up, it can establish a ceiling above which your mastery can't go because you're simply not practicing the fundamental skills that are required as kind of a baseline to jump to the next level."
The team analyzed how often variants appeared and how different they were to the original to get a measure of each meme's evolution. It turns out that this evolution follows the same mathematical evolution, called the Yule Process, that genes follow. And there are other similarities too. There is a small but clear preference for variants that are shorter than the original memes. That's analogous to bacteria favoring small genomes because they allow fast replication. And the same advantageous sequences can appear in many different memes, probably transferred by a single individual from one meme to another. This process is analogous to lateral gene transfer in bacteria. There are some differences too. Evolution is a blind process in biology but not in social media there can be a conscious effort to create mutations that will spread more effectively. This leads to some memes evolving with very high replication rates that are not described by the Yule process. The team says the results should provide greater insight into the nature of information transfer in social networks. It also raises the interesting question of how far evolution might go when given a little time to play with memes."