

To be clear on what’s required, we would need something like a free infinite energy source that doesn’t pollute at all. It also would have to be rapidly scalable within a decade or so. At that point we could have a giant vacuum cleaner sucking all the CO2 out of the atmosphere. We need to discover this new technology yesterday and it needs to clean the whole planet in about 20 years.
At this point in the story, we are adding about 1% to the CO2 pollution per year. Given the vast scale of the solution we will be coming up with, do you think this extra 1% or 25% will be somehow pivotal?
To me, this is like having pancreatic cancer that’s untreatable by medicine and deciding if you are going to quit smoking or not. Yeah, smoking doesn’t make it better, but in the face of the only cure being basically a miracle, is it actually meaningful to ask this question?
Like, a miracle that can cure an unfixable problem is so huge that do a few extra cigarettes hang in the balance?
I mean…of course you’re right. Slowing down CO2 pollution is very very important. In 1950.
(We do not have 50 years. Lol.)
The difference between the complexity of software inputs versus complexity in problem solving the real world systems is the energy and infrastructure it takes in the real world.
Joseph Tainter had a really interesting paper about how real world costs rise in an extremely non linear way after a certain threshold.
" It is not a question of expending a lot of energy to discover “more efficient” ways to do these things - that process amplifies the decline. "
https://en.m.wikipedia.org/wiki/Complexity,_Problem_Solving,_and_Sustainable_Societies
So you imply there is a balance point, but what’s clear is that complexity in one area actually reduces resources in the other areas and drags lower the external standards to whatever problem you put a focus on.
So backing out and taking another look at this, the solution of adding any complexity in any area actually makes higher problems. More complexity in one area removes the existing complexity in another, complexity is constrained.
Foe example, the more software we make, the less talent, energy, money and resources go into, say, health care or food production…investments are finite.
This is an interesting paper by Tainter, its about how science and innovation and technology have diminishing returns on investment: https://onlinelibrary.wiley.com/doi/full/10.1002/sres.1057
People discover the big easy things first, then it costs more and more to make smaller and less useful advancements…the figures and graphs in this paper tell an amazing story. Society is paying more and more for all these failing sectors. …