I agree with the 'can't buy knowledge' part. Internet has made the cost of most knowledge almost free or next to nothing, something that people in the pre-internet era couldn't dream of. Hopefully these large amounts of knowledge available can bring some quality changes.
Nothing is free. Everything has a cost of human time. What you mean is the access to information is more open thus more freedom. Freedom and openness is not the same as free meaning no cost.
That is part of the rationale of why Eric S Raymond proposed the name "open source" instead of "free software".
Freedom of information publishing and access enables the division-of-labor to increase, i.e. for expertise to become more focused. Which increases the collective knowledge of society, trade, and prosperity, but this is not the same as the knowledge is free.
The purpose of money is that it enables me as an expert programmer to trade with an expert surgeon without finding a patient who needs both surgery and custom programming to act as our intermediate barter.
So we will see money moving more towards its primary function as a medium-of-exchange with short-term store-of-value and less of as a long-term, hard-on store-of-value. Why? Because knowledge workers crave knowledge more than money, because they can't buy the
NEW knowledge they want with money, even if they tried. I explained why
new knowledge can't be created out-of-thin air at
ANY PRICE in the following linked section.
http://www.coolpage.com/commentary/economic/shelby/Demise%20of%20Finance,%20Rise%20of%20Knowledge.html#FinanceabilityofKnowledgeI expounded on that in 2013:
http://unheresy.com/Information%20Is%20Alive.html#Knowledge_AnnealsDegrees-of-freedom is potential energy. I will go find my writings and research on that from my copute.com
http://copute.com/index.html.origHigher-Level
| Degrees-of-Freedom
The more degrees-of-freedom, then the more a system can adapt to cooperate and fit to a desired solution. Imagine a car without reverse. That would be one less degree-of-freedom. The car would have to go around the block, to go backwards. That is inefficient.
With low-level issues alleviated, increases in the degrees-of-freedom correspond to (i.e. eliminating barriers to) robust compositional expression of higher-level semantics.
Higher-Level
| Degrees-of-Freedom
| | Physics of Work
The well established physics equations for work, can be correlated to the software development process to understand that efficiency to obtain programs with the best fitness to the desired semantics, is (exponentially) proportional to the degrees-of-freedom present in the compositional expression of higher-level semantics.
Higher-Level
| Degrees-of-Freedom
| | Physics of Work
| | | Fitness
Fitness is how well a particular configuration of a system fits the desired solution, e.g. how well a particular program fits the desired semantics.
For example, there would be gaps (i.e. errors in fitness) between a bicycle chain and a curved shape it is wrapped around, because the chain can only freely bend (i.e. without permanent bending) at the hinges where the links are joined. Each hinge is a degree-of-freedom, and the reciprocal of the distance between hinges is the degrees-of-freedom per unit length. Employing instead a solid, but flexible metal bar, the metal would remain fit to the curve only with a sustained force. The resisting force is a reduced degrees-of-freedom and an error in fitness. Permanent bending to eliminate the resisting force, reduces the degrees-of-freedom for future straightening some of the bend for wrapping to larger curves or straight shapes.
Higher-level semantics are analogous to adding more hinges. Cases in the higher-level semantics which don't compose, i.e. aren't unified, or where the high-level semantics don't fully express the desired semantics, are analogous to permanent bending.
Higher-Level
| Degrees-of-Freedom
| | Physics of Work
| | | Efficiency of work
Efficiency of work is the ratio of the work output (i.e. performed) divided by the work input, i.e. the efficiency is 100% minus the work lost to friction.
The lower the friction, then less power is required to do the same work in a given period of time. For example, pushing a cart on wheels, requires much less power than to push it without wheels, or to push it uphill on wheels. The ground rubbing against the bottom of the cart, or gravity, are both forms of friction. The rubbing is analogous to the permanent bending of the metal bar in the Fitness section, because the top of the ground and the bottom of cart are permanently altered. The gravity is a form of friction known as potential energy.
Given the friction is constant, then the input power (and thus input energy) determines the rate at which work can be completed. If the type of friction is potential energy, then the more work that is performed, the greater the potential energy available to undo the work. This type of potential energy is due to the
resistance forces encountered during the work to produce a particular configuration of the subject matter:
http://en.wikipedia.org/w/index.php?title=Energy&oldid=435292864Stored energy is created whenever a particle has been moved through a field it interacts with (requiring a force to do so), but the energy to accomplish this is stored as a new position of the particles in the field—a configuration that must be 'held' or fixed by a different type of force (otherwise, the new configuration would resolve itself by the field pushing or pulling the particle back toward its previous position). This type of energy 'stored' by force-fields and particles that have been forced into a new physical configuration in the field by doing work on them by another system, is referred to as potential energy. A simple example of potential energy is the work needed to lift an object in a gravity field, up to a support.
For example, a compressed spring wants to push back and undo the work performed to compress it.
Since the goal is to get more configurations (i.e. programs) in the software development system with less work, then these resistance forces must be reduced, i.e. increase the degrees-of-freedom so that fitness is closer to 100%. Visualize an object held in the center of a large sphere with springs attached to the object in numerous directions to the inside wall of the sphere. These springs oppose movement of the object in numerous directions, and must be removed in order to lower the friction and increase the degrees-of-freedom. With increased degrees-of-freedom, less work is required to produce a diversity of configurations, thus less power to produce them faster. And the configuration of the subject matter which results from the work, thus decays (i.e. becomes unfit slower), because the resistance forces are smaller. Requiring less power (and work), to produce more of what is needed and faster, with a greater longevity, is thus more powerful (efficient).
Higher-Level
| Degrees-of-Freedom
| | Physics of Work
| | | Knowledge
Knowledge is correlated to the degrees-of-freedom, because in every definition of knowledge one can think of, an increase in knowledge is an increase in degrees-of-freedom and vice versa.
Software is unique among the engineering disciplines in that it is applicable to all of them. Software is the process of increasing knowledge. Thus the most essential characteristic of software is that it does not want to be static, and that the larger the components, thus the fewer the degrees-of-freedom, and the less powerful (i.e. efficient) the software development process.
Communication redundance (i.e. amplitude) is a form of power, because its utility exists due to the friction of resistance to comprehension, i.e. due to noise mixed with the signal. The signal-to-noise ratio (SNR) depends on the degrees-of-freedom of both the sender and the receiver, because it determines the fitness (resonance) to mutual comprehension.
The difference between signal and noise, is the mutual comprehension (i.e. resonance) between the sender and the receiver, i.e. noise can become a signal or vice versa, depending on the fitness of the coupling. In physics, resonance is the lack of resistance to the change in a particular configuration of the subject matter, i.e.
each resonator is a degree-of-freedom.
Degrees-of-freedom is the number of potential orthogonal (independent) configurations, i.e. the ability to obtain a configuration without impacting the ability to obtain another configuration. In short, degrees-of-freedom are the configurations that don't have dependencies on each other.
Thus increasing the number of independent configurations in any system, makes the system more powerful, requiring less work (and energy and power since speed is important), to obtain diversity within the system. The second law of thermodynamics says that the universe is trending to maximum entropy (a/k/a disorder), i.e. the maximum independent configurations. Entropy (disorder) is a measure of the relative number of independent possibilities, and not some negative image of violence or mayhem.
This universal trend towards maximum independent possibilities (i.e. degrees-of-freedom, independent individuals, and maximum free market) is why Coase's theorem holds that any cost barrier (i.e. resisting force or inefficiency) that obstructs the optimum fitness will eventually fail. This is why decentralized small phenomena grow faster, because they have less dependencies and can adapt faster with less energy. Whereas, large phenomena reduce the number of independent configurations and thus require exponentially more power to grow, and eventually stagnate, rot, collapse, die, and disappear. Centralized systems have the weakness that they try to fulfill many different objectives, thus they move monolithically and can fulfill none of the objectives, e.g. a divisive political bickering with a least common denominator of spend more and more debt[16].
Thus in terms of the future, small independent phenomena are exponentially more powerful than those which are large. Saplings grow fast into trees, but trees don't grow to moon (nor to end of the universe). The bell curve and power law distributions exist because the minority is exponentially more efficient (i.e. more degrees-of-freedom and knowledge), because a perfectly equal distribution would require infinite degrees-of-freedom, the end of the universe's trend to maximum disorder, and thus a finite universe with finite knowledge. It is the mathematical antithesis of seeking knowledge to have socialism (equalitarian) desires for absolute equality, absolute truth, or perfection in any field.
The organization of matter and natural systems (e.g. even political organization) follows the exponential probabilistic relationship of entropy and the Second Law of Thermodynamics, because a linear relationship would require the existence of perfection. If the same work was required to transition from 99% to 100% (perfection) as to transition from 98% to 99%, perfection would be possible. Perfection is never possible, thus each step closer to 100% gets asymptotically more costly, so that perfection can never be reached. This is also stated in the Shannon-Nyquist sampling theorem, wherein the true reality is never known until infinite samples have been performed (and this has nothing to do with a pre-filter!). The nonexistence of perfection is another way of stating that the universe is finite in order, and infinite in disorder, i.e. breaking those larger down to infinitely smaller independent phenomena.
