Whereas an outside could have just looked at the general trend and predicted a doubling every 18 months, and they would have been accurate for at least 50 years.
I’m not buying this.
There are tons of cases where people look at the current trend and predict it will continue unabated into the future. Occasionally they turn out to be right, mostly they turn out to be wrong. In retrospect it’s easy to pick “winners”, but do you have any reason to believe it was more than a random stab in the dark which got lucky?
If you were trying to predict the future of flight in 1900, you’d do pretty terrible by surveying experts. You would do far better by taking a Kurzweil style approach where you put combustion engine performance on a chart and compared it to estimates of the power/weight ratios required for flight.
The point of that comment wasn’t to praise predicting with trends. It was to show an example where experts are sometimes overly pessimistic and not looking at the big picture.
When people say that current AI sucks, and progress is really hard, and they can’t imagine how it will scale to human level intelligence, I think it’s a similar thing. They are overly focused on current methods and their shortcomings and difficulties. They aren’t looking at the general trend that AI is rapidly making a lot of progress. Who knows what could be achieved in decades.
I’m not talking about specific extrapolations like Moore’s law, or even imagenet benchmarks—just the general sense of progress every year.
I’m not buying this.
There are tons of cases where people look at the current trend and predict it will continue unabated into the future. Occasionally they turn out to be right, mostly they turn out to be wrong. In retrospect it’s easy to pick “winners”, but do you have any reason to believe it was more than a random stab in the dark which got lucky?
If you were trying to predict the future of flight in 1900, you’d do pretty terrible by surveying experts. You would do far better by taking a Kurzweil style approach where you put combustion engine performance on a chart and compared it to estimates of the power/weight ratios required for flight.
The point of that comment wasn’t to praise predicting with trends. It was to show an example where experts are sometimes overly pessimistic and not looking at the big picture.
When people say that current AI sucks, and progress is really hard, and they can’t imagine how it will scale to human level intelligence, I think it’s a similar thing. They are overly focused on current methods and their shortcomings and difficulties. They aren’t looking at the general trend that AI is rapidly making a lot of progress. Who knows what could be achieved in decades.
I’m not talking about specific extrapolations like Moore’s law, or even imagenet benchmarks—just the general sense of progress every year.