If that’s so, then at some stage we may have to simply trust AI’s judgment or do without using it. Likewise, that judgment will have to incorporate social intelligence. Just as society is built upon a contract of expected behavior, we will need to design AI systems to respect and fit with our social norms. If we are to create robot tanks and other killing machines, it is important that their decision-making be consistent with our ethical judgments.
The hardest part to get used to. You may be used to adjusting the temperature controls in your car on your own or using your car’s navigation system to search for the closest gas stations. Asking a digital assistant in your car to do these things can be a strange feeling at first – especially if you have to preface the command with a name. For example, “Hey Google,” “Alexa,” or “Hey Siri.”
This pattern—human progress moving quicker and quicker as time goes on—is what futurist Ray Kurzweil calls human history’s Law of Accelerating Returns. This happens because more advanced societies have the ability to progress at a faster rate than less advanced societies—because they’re more advanced. 19th century humanity knew more and had better technology than 15th century humanity, so it’s no surprise that humanity made far more advances in the 19th century than in the 15th century—15th century humanity was no match for 19th century humanity.1Gray squares are boring objects and when you click on a gray square, you’ll end up bored. These are for sources and citations only.
“Whether it is information and technology or equipment technology, there are technologies that will help our agriculture industry deliver a sustainable, affordable, and nutritious supply of food to global consumers,” he says. “It’s exciting, but what is most exciting is when we see collaboration between people in the field, who understand what we need, and developers in places like Mountain View, Palo Alto, and San Francisco. Also, we have an investment community saying this is something new that we haven’t paid much attention to.”
It is really disturbing that someone over 100 years ago predicted what we might do with the technology. That they could see the kernels of that. Now, I don’t think we’re going to end up where this is, but the fact that you can see the shapes of it today is still amazing to me.
How far are we from achieving whole brain emulation? Well so far, we’ve not yet just recently been able to emulate a 1mm-long flatworm brain, which consists of just 302 total neurons. The human brain contains 100 billion. If that makes it seem like a hopeless project, remember the power of exponential progress—now that we’ve conquered the tiny worm brain, an ant might happen before too long, followed by a mouse, and suddenly this will seem much more plausible.
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