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Our long-range predictions - especially those which anticipate extreme-weather events - rely on an assumption that the future will be similar to the past. Lose that, and we lose the tools that have allowed us to prepare for such eventualities.
I would watch the Oscars and every award show with my parents. I would make lists of who was going to win. I'd be doing Oscar predictions months ahead of time, and not only for the Oscars, for the Grammys. This is just what excited me as a kid.
The first time I got into astrology was being in New York. I was like, 'Oh, this is a real thing here!' Now, I'll Google what your sign is and what my sign is to see the predictions of friendship, and I find that really cool. But that's the most I know.
Tesla has defied everyone's predictions again and again. It has such a unique position in the market, and so far, whatever people think about Tesla and its business model, there is one fact that nobody can dispute: It pretty much has the market to itself.
Agency by agency, we frequently have lost a bit of ground, at least to inflation-but had it not been for the efforts we've made to educate people about the importance of science, technology and advanced education, those predictions very well might have come true.
Very much, string theory is simply a work in progress. What we are inching toward every day are predictions that within the realm of current technology we hope to test. It's not like we're working on a theory that is permanently beyond experiment. That would be philosophy.
The funny thing is, I sometimes get the impression that some people outside of the field think that there's some element of security that we have in working on a theory that hasn't made any predictions that can be proven false. In a sense, we're working on something unfalsifiable.
Science is one of a handful of things that defines us as a very special species. It is amazing how far we have been able to get and how accurate our predictions are. I think understanding how the universe was born is very important. It really gives us a perspective on many things.
For me personally, the technology that has taken the most unexpected turn in my lifetime is what I refer to as 'the device formerly known as the cell phone.' I still remember many predictions that by 2000 there would only be about a million cell phone users. Boy, were they ever wrong!
I believe that we are going to have a much deeper appreciation of what kinds of abnormalities in cancer cells and in the surrounding cells that feed and respond to cancers are vulnerabilities that will allow us to make better predictions of which kinds of drugs will work to treat these cancers.
When TV came, people said who will go to theatres to watch movies? When the Internet came, they said the same. And now it's the digital media... The doomsday predictions are always there but I don't think people will stop going to cinema halls because that is one experience you can't get at home.
Science has very definite faith components, and most religions don't stick to faith. They venture out into making predictions about our physical world. They don't just say there's something that is completely unconnected to us. They say actually it affects a lot. And when they do that, they merge.
All those predictions about how much economic growth will be created by this, all of those new jobs, would be created by the things we wanted - the extension of unemployment insurance and middle class tax cuts. An estate tax for millionaires adds exactly zero jobs. A tax cut for billionaires - virtually none.
I have been doing technology foresight for a number of years now on the level of scenario design, primarily. I want to become more rigorous with research methodology and statistical methods. I want to shift from creating clever SF scenarios to being a professional forecaster able to make rigorous predictions.
As the Olympic torch neared Lake Placid, N.Y., in 1980, signaling the opening of that year's Winter Olympics, newspapers and magazines throughout the world offered predictions on who would win medals in the major sports. Not a single publication gave the American men's hockey team a chance against the world powers.
I just thought making machines intelligent was the coolest thing you could do. I had a summer internship in AI in high school, writing neural networks at National University of Singapore - early versions of deep learning algorithms. I thought it was amazing you could write software that would learn by itself and make predictions.
I started a company called Pixel Qi and the principal of as we're going, smartphones were happening, but as we go forward, the predictions were five devices per person. Do you want to charge each one of those every night to try to get them on a full charge when you're walking around? Smartphones don't even last a day without a recharge now.