tools have been overlooked almost completely
So serious private-sector money could be raised. You don't have to pay 60% taxes to get these.
In the Copenhagen area property prices are already growing faster than salaries.
Take now... some hard-headed business man, who has no theories, but knows how to make money. Say to him:
"Here is a little village; in ten years it will be a great city; in ten years the railroad will have taken
the place of the stage coach, the electric light of the candle; it will abound with all the machinery and
improvements that so enormously multiply the effective power of labor. Will in ten years, interest be any
higher?" He will tell you, "No!" "Will the wages of the common labor be any higher...?" He will tell you,
"No the wages of common labor will not be any higher..." "What, then, will be higher?" "Rent, the
value of land. Go, get yourself a piece of ground, and hold possession." And if, under such circumstances, you
take his advice, you need do nothing more. You may sit down and smoke your pipe; you may lie around like
the lazzaroni of Naples or the leperos of Mexico; you may go up in a balloon or down a hole in the ground;
and without doing one stroke of work, without adding one iota of wealth to the community, in ten years you
will be rich! In the new city you may have a luxurious mansion, but among its public buildings will be
an almshouse.
Cost of living skyrockets,
and so does the cost of new production and hiring.
Please, read my reply to one of the authors of Angr, a binary analysis tool. Here is an excerpt:
> A "brute-force" algorithm (an exhaustive search, in other words) is the easiest way to find an answer to almost any engineering problem. But it often must be optimized before being computed. The optimization may be done by an AI agent based on neural nets, or a learning Mealy machine.
> Isn't it interesting what is more efficient: neural nets or a learning Mealy machine?
...Then I describe what is a learning Mealy machine. And then:
> Some interesting engineering (and scientific) problems are: - finding an input for a program that hacks it; - finding a machine code for a controller of a bipedal robot, which makes it able to work in factories;
https://x.com/NENENENENE10/status/2042733015281914108