No matter what problem you encounter, whether it's a grand challenge for humanity or a personal problem of your own, there's an idea out there that can overcome it. And you can find that idea.
Our intuition about the future is linear. But the reality of information technology is exponential, and that makes a profound difference. If I take 30 steps linearly, I get to 30. If I take 30 steps exponentially, I get to a billion.
Interpretation
What this quote means
The quote highlights the disparity between our linear expectations of progress and the exponential growth enabled by technology.
Ray Kurzweil's quote emphasizes that while we tend to think of progress in a linear manner, particularly in our intuition about the future, the actual advancement in fields like information technology follows an exponential pattern. This means that small advancements can lead to unprecedented impact and growth, as illustrated by the analogy of taking steps linearly versus exponentially. The difference is not just numerical but transformative, suggesting that our understanding of progress must adapt to these exponential realities.
Themes
In practice
Example use cases
In a presentation about the impact of technology on society, I cited this quote to illustrate how rapidly advancements can change our world.
More from Ray Kurzweil
All quotes →When I was a student at MIT, we all shared one computer and it took up a whole building. The computer in your cell phone today is a million times cheaper and a thousand times more powerful. What now fits in your pocket 25 years from now will fit into a blood cell and will again be millions of times more cost effective.
A successful person isn't necessarily better than her less successful peers at solving problems; her pattern-recognition facilities have just learned what problems are worth solving.
When you talk to a human in 2035, you'll be talking to someone that's a combination of biological and non-biological intelligence.
Mobile phones are misnamed. They should be called gateways to human knowledge.
I'm working on artificial intelligence. Actually, natural language understanding, which is to get computers to understand the meaning of documents.
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