Time Travel: 2014

Deep down, Eve Carly feels that the era of artificial intelligence has actually arrived long ago.

Although the name "artificial intelligence" still sounds a bit sci-fi now.

But the concept of "artificial intelligence" was officially born as early as the 1960s.

When the concept of artificial intelligence first came out in the 1960s, there was still a wave of artificial intelligence.

In addition to this wave, another wave of artificial intelligence also set off in the 1980s.

The reason for this second wave was the rise of artificial neural networks.

Eve Kali believes that if the deep learning mentioned by Lin Hui in the supplementary content of the paper is really the deep learning that Eve Kali expected.

Then the era of artificial neural network learning will officially enter the era of deep learning.

And this will undoubtedly set off the third wave of artificial intelligence.

And this wave of artificial intelligence will definitely not be as fleeting as the meteor in the past.

Instead, it will completely unveil the era of artificial intelligence.

If this is true, Lin Hui's name will be recorded in the history of computer development.

Just like the courtesy enjoyed by the great computer scientists of the past.

Of course, opening that door isn't exactly a compliment.

Any technological progress in the history of science has always been met with criticism and disparagement along with praise.

It can even easily lead to a lot of attacks.

Many people who have left their names in the history of science and technology have suffered malicious criticism and accusations in reality.

In this case, it often takes courage to open the door.

Even if it’s just a technological door.

The subject of artificial intelligence has been involved in many controversies from the beginning.

Because of machine learning in the Institute of Artificial Intelligence, there is even a special discipline called "machine ethics" corresponding to it.

The painful subject of machine ethics is an emerging field of ethical research.

Its main concern is to make machines possess ethical properties.

This theory was proposed by several scholars in the United States.

Why do these people come up with such a theory?

These scholars claim that they conduct research in this area solely to focus on the behavioral consequences of machines on human users and other machines.

Others may be neutral about this behavior.

But in Eve Carly's opinion, these people are just full and have nothing to do.

Eve Carly feels that instead of wasting their energy on so-called machine ethics, these people should make a cameo appearance as environmental warriors.

At least the environmental protection fighters are concerned about are targeted.

Environmental issues are real.

Although there may be many misleading theories when conducting environmental protection propaganda.

But it is undeniable that there are indeed problems with environmental protection.

However, any machine ethics in machine learning is completely nonsense.

First of all, discussing the ethics of machines is completely groundless criticism.

Interfering with the ethics of artificial intelligence by discussing machine intelligence is simply looking for trouble.

Because machine ethics cannot be equated with artificial intelligence ethics at all.

These overseas "ethicists" engage in so-called machine ethics overseas.

It's just a bunch of amateurs doing clowning.

Although these people do not understand machine learning, it does not prevent them from misleading the general public.

A common practice among these people is to indiscriminately mix machine ethics and robot ethics together.

Through a lot of speculation about robots to lead the rhythm of machine learning.

Even to bring the rhythm of artificial intelligence.

This approach is either stupid or bad.

Based on the content of machine learning, it is indeed possible to build intelligent robots.

But intelligent robots are not the only path to machine learning.

To be honest, these experts are not worried about the impact of machine learning on robots.

It is better to worry more about the power of high-end sensors on robots.

After all, even machine learning has contributed to the advancement of robots.

But in the end, the large-scale application of technology still has to fall on high-end sensors.

As for the connection between machine ethics and artificial intelligence ethics, it is even more unrealistic.

Machine learning will help artificial intelligence, but the current level of machine learning is still far from true artificial intelligence.

If we insist on talking about the risks brought by artificial intelligence, they can only be the risks brought by strong artificial intelligence.

Rather than the risks brought by weak artificial intelligence.

But let alone strong artificial intelligence now.

Even weak artificial intelligence is out of reach.

Therefore, these people's worries about the risks that artificial intelligence may cause are completely unfounded.

But having said that, strong artificial intelligence does have risks, and the risks are not small.

After all, according to people’s assumptions about strong artificial intelligence.

This is a super AI with autonomous consciousness and autonomous thinking ability.

Many technology experts like this have expressed concerns about the risks it may cause.

When it comes to the safety of strong artificial intelligence, Eve Carly is actually not sure.

To be honest, this is something Eve Carly admires or admires about Lin Hui.

A scientific research project that may cover groundless criticism.

In Lin Hui's mind, it seemed as if he didn't even know there would be any controversy.

Always proceed step by step without hesitation.

I don't pay too much attention to the sounds from the outside world.

Perhaps this is the true sense of purity.

This purity alone is enough to make Eve Carly believe that Lin Hui can usher in a new era of artificial intelligence.

Although the complete arrival of this artificial intelligence era is just Eve Carly’s intuition.

But Eve Carley feels that intuition is not the same as delusion.

The essence of intuition is often the logic that is familiar to the heart and almost without thinking.

Just like the answers chosen in the first impression of some exams are almost always correct. If you change them again and again, you will correct the original correct answers.

All in all, Eve Carley trusted her scientific instincts.

And subjectively, Eve Carly would rather believe that the person who opened a new chapter in artificial intelligence is Lin Hui.

Similar to the progress in mathematics, progress in computers is basically driven by genius.

In other words, the person who opens a new chapter in artificial intelligence in the future is destined to be a genius.

Computer genius Eve Carley has many encounters.

But it can be said that there are very few people like Lin Hui who are not annoying but fascinating.

Instead of a new chapter in artificial intelligence being opened by some unreasonable villains.

It would be better for Lin Hui to open it.

All in all, Lin Hui’s additions to the paper make Eve Carley full of expectations for the future.

Eve Carly is looking forward to this discussion with Lin Hui on the content of the paper.

Eve Carly knew that Lin Hui usually played the role of a listener in every communication.

Therefore, when conducting academic exchanges this time, Eve Carly also followed her past practices.

Eve Carly did not wait for Lin Hui to make a statement first.

Instead, she took the lead in expressing some of her views on Lin Hui’s supplementary content in the paper and some of her doubts.