A good photo has three elements: good composition, nice light, and an interesting subject.
A great photo transcends the present moment. It connects with the viewer emotionally and invites them to tell their own story about the subject.
A good photo has three elements: good composition, nice light, and an interesting subject.
A great photo transcends the present moment. It connects with the viewer emotionally and invites them to tell their own story about the subject.
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1: The computer cannot be denser than that which would create a black hole (Bekenstein bound)
2: The temperature of the cosmic microwave background radiation sets the minimum operating temperature
3: Heisenberg’s Uncertainty Principle, Planck’s constant,E = mc2 set a maximum on the energy processing per unit mass (2 x 1047 bits per second per gram of its mass)
4: Due to the second law of thermodynamics, there is a minimum to the energy consumption per computation (Landauer limit)
More: Wikipedia
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In my opinion, biology is about just two things: the why and how. The why is evolution. The how is protein synthesis.
Evolution is basically just applied game theory. Protein synthesis is basically nanotechnology which is basically self-replicating information systems. Combine the two and you can explain just about everything about living systems.
You can learn these two relatively simple concepts in a few days. Everything you learn about biology afterwards will be filling in details. Most students who spend years in biology classes understand neither.
If you learn the game theory behind evolution, you will understand much more than biology. Human psychology and behavior, individual, social, economic, and political can be understood as a set of iterated game theory scenarios. You cannot truly understand history or society until you can see them in terms of game theory principles.
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People tend to become better at doing the thing they are rewarded for doing. Entrepreneurs are good at turning money into products, politicians are good at getting votes, bureaucrats are good at increasing their budgets and influence, and welfare recipients are good at becoming more needy.
In markets with well-defined property rights, there is a tendency for explicit and actual motivations to match. For example, Apple, BMW, or Wal-Mart want to make stuff I want because they are rewarded to the extent that they make stuff I want.
In politics, the trend is reversed. Incentives in politics are often the opposite of political promises or goals.
For example, politicians and bureaucrats may honestly want to fix poverty, pollution, corruption, and terrorism, but they are more often rewarded for making all these things worse.
The worse the problem becomes in the voters mind, the larger the politician’s power and scope for action.
The more efficient a democracy, the more it tends to reward those who re-direct resources away from problem-solving activity and toward towards vote-generating activity. In an inefficient or indirect democracy, someone who is a good problem solver can win though the support of a minority that directly rewards success. In a popular democracy, the ability to get votes will tend to triumph over the ability to achieve campaign promises.
The intentions of politicians and voters are mostly irrelevant – whether they are good or evil, the outcome depends only on what kind of behavior is incentivized. Studies show that most voters are altruistic, not selfish — and this is very destructive. Selfish voters tend to vote based on their own evidence and reward problem solving. Altruistic voters tend to vote based on campaign platforms, have no empirical basis to evaluate a candidate’s proposals, and no incentive to follow up on outcomes.
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This is not a prediction, but one plausible timeline out of the many I can imagine:
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See also:
“….IT security specialist David Veksler and writer Tim Swanson discuss alternative digital currencies currently being developed and deployed including cryptocurriencies like Bitcoin and Litecoin. In addition, cyber security and hacking issues in China are reviewed.”
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