Infinite Supply, the Problem with Copyrights & Patents
In a comment to Economics Of Abundance Getting Some Well Deserved Attention a reader complained that there isn’t an infinite supply of good books, good music, and movies. This is flatly false, there’s an infinite supply of any intellectual property and it can be mathematically proven. How is that for being emphatic?
Don’t fear, I’m going to back up that statement and do the following:
- Prove there is an infinite supply of information.
- Show some reasons why Copyrights & Patents are logically flawed.
- List one form of intellectual property that is real and very valuable.
Digital media makes my point very clear. When you digitize a song, book or movie you convert it into numbers. And how many numbers are there? Infinite, you can keep counting forever. Computers store everything as a series of electrical impulses. We think of those as 1’s and 0’s. So inside a computer the music, videos, books and everything else is just a big number.
If you converted the phrase “infinite supply” into a stream of ones and zeros the way the computer sees it this is what it looks like:
01101001 01101110 01100110 01101001 01101110 01101001 01110100 01100101 00100000 01110011 01110101 01110000 01110000 01101100 01111001
As you look at that I’m sure it looks like a meaningless number. And that is the point. That phrase, “infinite supply” is just a meaningless number to a computer. Now look at this article. Up to this point it is 1,462 letters. When I save it on my computer it’s converted to a stream of 1’s and 0’s, it’s just a number. And like every number you could start at 1 and count up to the number equivalent of this article.
To count to the number that represents “infinite supply” you would pass “infinite supplx” and “infinite supplw”. You would also pass “supply”, “infinite”, “finite”, “in” and “a” and every possible combination of letters up to the 15 letter combination that make “infinite supply”. That is 2,954,312,706,550,833,698,643 combinations if we only include the letters “a” through “z” and blank space.
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How to Solve Impossible Problems
I love impossible problems. Am I insane? That is hotly debated. But the reason I love impossible problems is there are so many possible innovations in every impossible problem. In fact there are at least 225 possible solutions to most seemingly impossible problems.
That’s a lot of innovation.
Very little is truly impossible. Most seemingly impossible problems result from assumptions that hide the solutions. The typical impossible problem is the result of two competing goals. If you improve one feature the other suffers. The goals compete. You want to improve both but can’t so it seems impossible.
How do you solve impossible problems? Break the problem in two and solve each part separately.
For instance electric vehicles solve a lot of problems. Electric cars are very efficient and don’t produce any point of use toxic emissions. The problem with electric cars is they can’t drive very far on a single charge.
Even with a lot of improvements in battery technology electric cars just haven’t gained the type of range most people would like. Recharging takes a long time so an electric car isn’t good for long trips.
How do we solve it? Break the problem in two and solve separately.
The goals are low point of use toxic emissions, and long range. If we break out long range we can solve that a number of ways.
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WCBN – Interactive Technology Interview – Part 1 – 2006 Dec 19
We discuss viral marketing, the online TV show I produce being spotlighted on Veoh.com, video advertising systems such as Revver.com, BitTorrent, Creative Commons, and business models that use file sharing and how artists and other creators of intellectual works can get paid for their works in a world of unlimited file sharing.
WCBN – Interactive Technology Interview – Part 1 – 2006 Dec 19
WCBN.org radio University of Michigan Ann Arbor
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Predictive Innovation: Core Skills Book
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