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.
Ray KurzweilRead
When you talk to a human in 2035, you'll be talking to someone that's a combination of biological and non-biological intelligence.
Interpretation
In the future, human interactions will involve an integration of biological and artificial intelligence.
Ray Kurzweil's quote suggests that by 2035, the distinction between human beings and artificial intelligence will blur as technology advances. This reflects the rapid development in fields like AI and biotechnology, leading to a future where human conversations might involve entities that are part human and part machine, highlighting the inevitable fusion of technology with our daily lives.
In practice
During a tech conference discussing the future of AI.
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.
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.
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.
So what used to fit in a building now fits in your pocket, what fits in your pocket now will fit inside a blood cell in 25 years.
As soon as I have got flying to perfection, I have got a scheme about a steam engine.
The fear isn't that big data discriminates. We already know that it does. It's that you don't know if you've been discriminated against.
The thing about the Internet is that you can write something... for a very narrow audience and make a living at it.
The biggest problem is that Facebook and Google are these giant feedback loops that give people what they want to hear. And when you use them in a world where your biases are being constantly confirmed, you become susceptible to fake news, propaganda, demagoguery.
The mistake that makes launching a venture expensive is when you try to make a disruptive technology so good that it can compete on a quality basis with an established product.
Error-prone or biased artificial-intelligence systems have the potential to taint our social ecosystem in ways that are initially hard to detect, harmful in the long term, and expensive - or even impossible - to reverse.
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