1. Artificial intelligence comes for your job.
In order to protect your career, it’s best to do work that machines aren’t good at, for example, work involving people, unpredictability, or creativity. We want to avoid repetitive or structured jobs that automatically disappear in a predictable environment, like telemarketers, storekeepers, cashiers, train operators, bakers or assembly line managers, etc. replaced.
2. Unemployment can turn into a vacation for life.
Advances in artificial intelligence can not only create a luxurious leisure society for all, but also bring unprecedented suffering to the majority of people who cannot be employed, depending on how the artificially produced wealth is taxed. and shared.
3. The killer robot is not fictitious.
We are about to start an uncontrollable arms race with manually controlled weapons, which could weaken the military might of today’s great powers, as it allows everyone to have a cheap assassination machine and practice filled with wallets, including terror. Organization. Artificial intelligence researchers oppose it and hope to achieve an international artificial intelligence arms control treaty.
4. The machine has no IQ.
And intelligence is needed to achieve complex goals. It cannot be quantified with a number, such as IQ, because different organisms and machines are good for different things.
5. Artificial intelligence is more and more widespread.
Artificial intelligence today is primarily narrowly defined intelligence, that is, the ability to accomplish a set of small goals, such as playing chess or driving, and its performance is sometimes better than that of humans. In contrast, humans have real intelligence, the ability to accomplish any goal, including learning. The ultimate goal of artificial intelligence development is Artificial General Intelligence (AGI), that is, the ability to perform any intellectual task like humans. Many leading artificial intelligence researchers believe that we are only decades away from AGI.
6. Artificial intelligence can leave us far behind.
As the British mathematician Irving J. Good explained in 1965: “Making a super-intelligent machine is defined as a machine that can far exceed human intellectual activity, however intelligent it may be.” Because machine design is this kind of intellectual activity, a super intelligent machine can design a better machine. There is no doubt that it will be an “intellectual explosion” and that human wisdom will be far behind.
7. We are far from having reached the limit of the calculation.
Since the birth of my grandmother, the cost of computers has dropped considerably. If everything becomes cheaper, one percent of the money will allow you to buy all the goods and services produced on the planet this year. Moore’s Law determines how much it costs us to move electronics on a two-dimensional silicon wafer. Once on this platform, we can try many other hardware solutions, such as the use of three-dimensional circuits and the use of electronics to complete our offering. We are still a trillion times below the computational limit of the laws of physics.
8. Artificial intelligence can contribute to human prosperity.
Because everything in human civilization is a product of intelligence, we use artificial intelligence to amplify our own wisdom, which can help life flourish as before and solve our most difficult problems, from disease to climate change.
9. Artificial intelligence presents risks.
Hollywood’s fear of the machines becoming conscious and evil is a distraction. The real concern is not wickedness, but ability. The definition of super artificial intelligence is that it is very effective at achieving its goals, whatever they are, so we need to make sure that its goals are consistent with our goals. Humans don’t generally hate ants, but we’re a lot smarter than them – so if we’re going to build a hydroelectric power station, there are anthills, which is just a shame for the ants.
10. We need research on the security of artificial intelligence.
In order to ensure the growing influence of artificial intelligence on society, more research on the security of artificial intelligence is needed. For example, how do we turn today’s buggy computer into a powerful and powerful artificial intelligence system that we really trust? How do we let the machine learn, accept and keep our goal?
These are tough questions that may take decades to answer, so we should start a study now to make sure we can find the answers when we need them. But compared to spending billions of dollars to make artificial intelligence more powerful, governments in all countries so far have almost no funds for artificial intelligence security research.