24 March 2019
Architects of Intelligence
Architects of Intelligence
The Truth about AI from the People Building it
Martin Ford

Highlights

"Society can’t change infinitely fast, even if the technology is moving forward." - Yoshua Bengio
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"People are looking at the technology as if the technological advances are a problem. The problem is in the social systems, and whether we’re going to have a social system that shares fairly, or one that focuses all the improvement on the 1% and treats the rest of the people like dirt. That’s nothing to do with technology" - Geoffrey Hinton
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"What governments ought to be is mechanisms put in place so that when people act in their own self-interest, it helps everybody." - Geoffrey Hinton
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"The convolutional net is basically a stack of layers of this type—convolution, non-linearity, pooling. You stack multiple layers of those, and by the time you get to the top, you have neurons that are supposed to detect individual objects." - Yann Lecun
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"[T]he more people are left behind, the less quickly the technology can diffuse in the economy. It’s interesting because it means that the evil has kind of a self-regulating mechanism in it." - Yann Lecun
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"The desire to take over the world is not correlated with intelligence, it’s correlated with testosterone. We have a lot of examples today in American politics, clearly illustrating that the desire for power is not correlated with intelligence." - Yann Lecun
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"Well, there is the issue of objective function design. All of those scenarios assume that somehow, you’re going to design the objective function—the intrinsic motivations—of those machines in advance, and that if you get it wrong, they’re going to do crazy things. That’s not the way humans are built. Our intrinsic objective functions are not hardwired. A piece of it is hardwired in a sense that we have the instinct to eat, breathe, and reproduce, but a lot of our behavior and value system is learned." - Yann Lecun
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"As a scientist and as a scholar I tend to focus on arguments that are built on deeper and well substantiated evidence and logical deduction. It’s really not important whether I judge a particular sentence or not." - Fei-Fei Li
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"AI as a technology has so much potential to enhance and augment labor, in addition to just replace it, and I hope that we see more and more of that." - Fei-Fei Li
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"It’s very important to narrow down the search space that you’re exploring." - Demis Hassabis
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"I think data is actually verticalized, so building a defensible business in one vertical can be done with a lot of data from that vertical" - Andrew Ng
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"One thing that’s remarkable about humanity is how quickly we acclimatize to new technologies." - Andrew Ng
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"Humans have an evolutionary preference for bad news." - Ray Kurzweil
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"It may not be the biases that any human being has in developing the algorithms, but the way in which we’ve collected the data that the algorithms are trained on that introduces bias." - James Manyika
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"[A]ctivities that are very difficult to automate also cut across wage structures and skills requirements, including tasks that require judgment or managing people, or physical work in highly unstructured and unexpected environments." - James Manyika
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"The Turing test is not a good test of intelligence. Frankly, I would probably fail the Turing test because I’m not very good at social banter." - Barbara Grosz
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"For any given task, we can get a machine that does it better, so where does our self-esteem go? Where does our sense of self go? Does it fall back into empathy, emotion, understanding, and things that might be more spiritual in nature? I don’t know, but these are the interesting questions as we begin to understand intelligence in a more objective way. You can’t escape it." - David Ferrucci
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"It’s those incremental digital pathways that enable the change in labor markets, it’s not a simple one-for-one replacement." - Rodney Brooks
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"It’s the action itself that we need to think about, not which particular technology is being used to perform that action." - Rodney Brooks
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"That’s my own personal interest and passion; understanding how you design for the complementary partnership. It doesn’t mean I have to build robots that are exactly human. In fact, I feel I have already got the human part of the team, and now I’m trying to figure out how to build the robot part of the team that can actually enhance the human part of the team." - Cynthia Breazeal
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"A lot of the fear I hear is basically mapping onto AI our human baggage that we evolved with to survive in a hostile complex world with competitive others. Why assume that a super intelligence is going to be saddled with the same machinery? It’s not human, so why would it be?" - Cynthia Breazeal