Is machine learning in a period of multiple discovery?
Anecdotally, it feels as though we have entered a period of multiple discovery in machine learning, with numerous individuals coming up with very similar ideas.
Logically, this can be expected when more people pursue the same low-hanging fruit. Imagine orchards in full bloom with a crowd of hungry gatherers. Initially, everyone targets the nearest fruit. Exploring a new scientific frontier can feel somewhat similar. When reading the history books on the Enlightenment, I get a similar impression.
If we are indeed in a period of multiple discovery, we should not simply go after the nearest prize; it will soon be claimed. Your time is better spent looking further afield or exploring broader horizons.
Is any of this backed by empirical evidence? No! I have simply plotted Wikipedia’s list of multiple discoveries. It shows multiple discoveries increasing with population, I don’t see any distinct periods, so it’s inconclusive.
Is machine learning in a period of multiple discovery?
Anecdotally, it feels as though we have entered a period of multiple discovery in machine learning, with numerous individuals coming up with very similar ideas.
Logically, this can be expected when more people pursue the same low-hanging fruit. Imagine orchards in full bloom with a crowd of hungry gatherers. Initially, everyone targets the nearest fruit. Exploring a new scientific frontier can feel somewhat similar. When reading the history books on the Enlightenment, I get a similar impression.
If we are indeed in a period of multiple discovery, we should not simply go after the nearest prize; it will soon be claimed. Your time is better spent looking further afield or exploring broader horizons.
Is any of this backed by empirical evidence? No! I have simply plotted Wikipedia’s list of multiple discoveries. It shows multiple discoveries increasing with population, I don’t see any distinct periods, so it’s inconclusive.