Rapid Growth Of Technology Essay

Rapid Growth Of Technology Essay-5
A range of other technologies demonstrate similar exponential growth, whether bits of data stored or DNA base pairs recorded.The outcome is the same: capabilities have increased by thousands, millions, and billions for less cost in just decades.[Moore’s Law may be nearing certain physical limitations that will be challenging to overcome.

A range of other technologies demonstrate similar exponential growth, whether bits of data stored or DNA base pairs recorded.The outcome is the same: capabilities have increased by thousands, millions, and billions for less cost in just decades.

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Being exponential, as it turns out, is all about evolution.

Let’s begin with biology, a familiar evolutionary process. Recorded within the DNA of living things are blueprints of useful tools known as genes.

Due to selective pressure—or “survival of the fittest”—advantageous innovations are passed along to offspring.

As this process plays out generation after generation over geological timescales, chaotically yet incrementally, incredible growth takes place.

We sequenced the first human genome in 2004 at a cost of hundreds of millions of dollars.

Now, machines can sequence 18,000 annually for

Now, machines can sequence 18,000 annually for $1,000 a genome.

Civilizations advance by “repurposing” the ideas and breakthroughs of their predecessors.

Similarly, each generation of technology builds on the advances of previous generations, and this creates a positive feedback loop of improvements.

Think about that—the first personal computers arrived about 40 years ago.

Today, it seems nearly everyone is gazing at a glowing, handheld computer. In his book , Kurzweil shows technology’s quickening pace and explains the force behind it all.

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Now, machines can sequence 18,000 annually for $1,000 a genome.Civilizations advance by “repurposing” the ideas and breakthroughs of their predecessors.Similarly, each generation of technology builds on the advances of previous generations, and this creates a positive feedback loop of improvements.Think about that—the first personal computers arrived about 40 years ago.Today, it seems nearly everyone is gazing at a glowing, handheld computer. In his book , Kurzweil shows technology’s quickening pace and explains the force behind it all.(In fact, two-thirds of Americans own one, according to a Pew Report.) Intuitively, it feels like technology is progressing faster than ever. This article will explore Kurzweil’s explanation of this driving force, which he dubbed the law of accelerating returns, and the surprising implications of technology’s acceleration.Computer chips have become increasingly powerful while costing less.However, specific paradigms (e.g., integrated circuits) won’t grow exponentially forever.They grow until they’ve exhausted their potential, at which point a new paradigm replaces the old one.The above charts show a few examples of accelerating technologies, but more examples are plentiful.These do not directly depend on the doubling of transistor counts—and yet each one moves along its own exponential curve just as computer chips do. According to the law of accelerating returns, the pace of technological progress—especially information technology—speeds up exponentially over time because there is a common force driving it forward.

,000 a genome.Civilizations advance by “repurposing” the ideas and breakthroughs of their predecessors.Similarly, each generation of technology builds on the advances of previous generations, and this creates a positive feedback loop of improvements.Think about that—the first personal computers arrived about 40 years ago.Today, it seems nearly everyone is gazing at a glowing, handheld computer. In his book , Kurzweil shows technology’s quickening pace and explains the force behind it all.(In fact, two-thirds of Americans own one, according to a Pew Report.) Intuitively, it feels like technology is progressing faster than ever. This article will explore Kurzweil’s explanation of this driving force, which he dubbed the law of accelerating returns, and the surprising implications of technology’s acceleration.Computer chips have become increasingly powerful while costing less.However, specific paradigms (e.g., integrated circuits) won’t grow exponentially forever.They grow until they’ve exhausted their potential, at which point a new paradigm replaces the old one.The above charts show a few examples of accelerating technologies, but more examples are plentiful.These do not directly depend on the doubling of transistor counts—and yet each one moves along its own exponential curve just as computer chips do. According to the law of accelerating returns, the pace of technological progress—especially information technology—speeds up exponentially over time because there is a common force driving it forward.

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