A PhD in farm science with access to a book about growing potatoes will have died of starvation 50-100 days before their first crop is ready to be harvested. It's the lack of time available to actually grow the food that proves terminal. Having access to knowledge is not enough. Being a species that writes stuff down is not, in and of itself, a guarantee of our survival.
If a group of critical specialists gets wiped out there will a) not be enough time to learn how to keep their complex system running, or b) not be enough time to learn and implement a less complex system to the required scale, before the food runs out and everyone dies.
For survival to be assured, there needs to be diversity in critical areas. The alternatives need to be actively studied and practised alongside whatever is dominant. The problem is that competitive economic systems systematically drive out the 'less efficient' approaches, leaving a gaping hole in our fall-back options. Put another way: 'Capitalism eliminates Plan B'.
The prevailing economic system (which rewards and promotes specialisation, homogenisation and efficiency) is incompatible with long-term survival (which depends on generalisation, diversity and inefficiency).
Also statistically, every species in history that has ever over-specialised has gone extinct.
With specialisation comes interdependence. If you spend 99% of your free time studying computers it is almost certain that you don't know how to grow a potato. You depend on others to do things for you.
Over time specialisation results in critical and basic survival skills being lost from the mainstream.
Usually then, some event occurs that wipes out a critical group of specialists, and everything that depends on them comes crashing down, resulting in the species being wiped out... because the knowledge cannot be rediscovered, or the skills re-learnt, before the food runs out.
We are rushing towards a future where all of our food, water and energy is grown/harvested/generated/distributed by AI-driven machines. The number of people on the planet who will know how those AIs actually work will be minuscule.
Specialists already do things like attend conferences... so gather in a single location... breathe the same air while there... stay at the same hotels... eat at the same restaurants... fly the same planes...
If we care about the long-term survival of the Human species, then we should be very, very careful not to allow over-specialisation to occur in critical fields.
Just because many people drive above the speed limit, doesn't mean you need to. Just because people dribble shit on twitter, doesn't mean you need to. Just because rich morons stick jade eggs into their vaginas, doesn't mean you need to. Just because there are greedy scumbags in the world, doesn't mean you need to be one too.
"But, but, someone's going to do it!" isn't even remotely a valid argument against having morals and ethics.
"Perl 6 was one piece of Larry Wall's solution to a rather urgent problem. And that problem was how to separate people who wanted to create new features from people who wanted absolute backwards compatibility. ... But if it didn't happen, Perl was set to implode on itself much more dramatically, much more quickly."
Care to expand on this a little, or suggest an external resource where it has already been elaborated upon?
If a group of critical specialists gets wiped out there will a) not be enough time to learn how to keep their complex system running, or b) not be enough time to learn and implement a less complex system to the required scale, before the food runs out and everyone dies.
For survival to be assured, there needs to be diversity in critical areas. The alternatives need to be actively studied and practised alongside whatever is dominant. The problem is that competitive economic systems systematically drive out the 'less efficient' approaches, leaving a gaping hole in our fall-back options. Put another way: 'Capitalism eliminates Plan B'.
The prevailing economic system (which rewards and promotes specialisation, homogenisation and efficiency) is incompatible with long-term survival (which depends on generalisation, diversity and inefficiency).