Can you provide any examples of working, real-world antifragile systems which were designed and built by humans and accomplish their purposes? Preferably in terms of software and hardware?
So far you've named "evolutionary systems", which are quite fragile in the real world, and an imaginary thing called a "true free market economy".
Taleb's book often came back to the example of the relatively free market that is a city's restaurants. Any one restaurant is fragile, but the entirety of the restaurant business in a city is antifragile - failure of the worst makes the marketplace better.
In this case, the anti-fragile system is the entire system, including Netflix engineers and the cloud over time. The cloud is stressed, maybe even goes down, but in response, becomes stronger and more reliable because engineers make changes.
Point-in-time human-engineered systems still can't really be anti-fragile, except perhaps in some weird corner cases, but the system as a whole with the humans included, over time, can be.
It should also be pointed out that "anti-fragile" was always intended to be a name for things that already exist, and to provide a word that we can use as a cognitive handle for thinking about these matters, not a "discovery" of a "new system" or something. There are many anti-fragile systems; in fact it's pretty hard to have a long-term successful production project of any kind in software without some anti-fragility in the system. (But I've seen some fragile projects klunk along for quite a while before someone finally came in and did whatever was managerially necessary to get someone to address root causes.)
Ah, true when you include the engineers in the loop I suppose. But then that becomes a vague term for any system where engineers fix problems after some load/failure testing.
When I think of anti fragile systems, truly adaptive algorithms come to mind that learn from a failure. For example, an algorithm that changes the leader in a global leader election system based on the time of day because one geographic region of the network is always busier depending on time of day and latency to the leader impacts performance.
So far you've named "evolutionary systems", which are quite fragile in the real world, and an imaginary thing called a "true free market economy".