Crossover: 2014

Chapter 256

Although the complete arrival of this era of artificial intelligence is only Eve Carly's intuition.

But Eve Carly feels that intuition is not the same as illusion.

The essence of intuition is often a well-know, almost automatic logic.

Just like the answers selected by the first impression of some exams are almost all correct, and changing them will only correct the original correct ones.

All in all, Eve Carly trusts her scientific instincts.

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

Much like advances in mathematics, advances in computing are largely propelled by genius.

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

Eve Carly, a computer genius, has had many encounters.

But it can be said that Lin Hui is not only not annoying but fascinating, it can be said that there are very few.

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

It might as well be opened by Lin Hui.

All in all, Lin Hui's supplementary content in the paper made Eve Carly look forward to the future.

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

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

Therefore, during this academic exchange, Eve Carly followed the usual practice.

Eve Carly didn't 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.

Eve Carly almost gave some of her previous thinking to Lin Hui.

Including but not limited to the strong interest in the supplementary content of Lin Hui's paper and the concern that the future expectations of artificial intelligence will cause controversy at the social level.

Even some speculations about the use of the patent acquired by Lin Hui were also told to Lin Hui.

I don't know why, but since coming to China, Eve Carly feels more assertive than before.

At this time, she seems to have some changes in her approach to things, even though she now has a certain judgment in her heart.

She also hopes to confirm her previous guess in Lin Hui.

Listening to Eve Carly's statement, Lin Hui didn't expect to supplement the content of the previous paper with what he thought was quite common sense.

To be able to be endowed with so many expectations by Eve Carly.

Eve Carly's little look of anticipation made Lin Hui think of the little fox longing for meat for some reason.

However, Lin Hui is probably going to disappoint Eve Carly this time.

Although some of the supplementary content in the paper is ahead of this time and space.

But in order to avoid the situation where one step ahead is the first teacher to die two steps ahead.

Even if it was moving, Lin Hui was very restrained in what he actually moved out.

Take the pre-training mechanism that Eve Carly rated highly.

Although the introduction of the pre-training mechanism into the machine learning of natural language processing is indeed quite groundbreaking in this time and space.

But Lin Huixin is clear in his heart that the pre-training mechanism he carried can only be called a new level.

The "pre-training" of Lin Huilian is based on the pre-training of the ordinary neural network language model.

It is much worse in terms of application efficiency than the truly reliable Transformer-based pre-training model.

As for why Lin Hui doesn't directly carry the more mature Transformer-based pre-training mechanism?
The reason is very simple. After all, there is no Transformer yet. Wouldn’t it be ridiculous to come up with a Transformer-based model now.

As for the "deep learning" that Eve Carly also has great expectations for.

Although Lin Hui can indeed tinker with deep learning in the true sense.

But for the time being, it seems that there is no need. When it comes to deep learning, Lin Hui does not intend to launch it in the direction of natural language processing.

As for Lin Hui not intending to introduce deep learning in the true sense in the direction of natural language processing, why is deep learning mentioned in the current paper?

That's because almost all researchers in neural network learning in this time and space are almost confidently calling their neural network learning the name of deep learning.

In this case, even if Lin Hui's neural network learning application is not that deep, wouldn't it be inferior if he didn't use the name of deep learning?
As for the idea of ​​migration that Eve Carly is interested in.

Although in the long run, transfer learning can indeed escape the small circle of natural language processing and migrate to the entire ML field as Eve Carly expected.

But it is actually quite difficult in a short period of time.

Despite all the difficulties, Lin Hui did not dampen Eve Carly's enthusiasm.

Instead, it painted a more magnificent scene for Eve Carly.

The appearance of this cake even reminded Lin Hui of his leader in his previous life.

However, Lin Hui didn't feel guilty at all about this, the big pie drawn by the department leaders in the previous life was nothing but illusory.

However, the blueprint outlined by Lin Hui will definitely come true, after all, it has been verified in previous lives.

No matter how long the road is, Lin Hui will realize everything he described one day.

And Lin Hui is already moving towards the blueprint he outlined.

Although Lin Hui's supplementary content in the previous paper was not as strong as Eve Carly expected, it was at least making progress.

Even some progress is from 0 to 1 compared to the current scientific research status of this time and space.

As for Eve Carly's concerns about AI's societal dimension.

This Lin Hui knows a thing or two, and many big cows in previous lives have indeed expressed their worries in this regard.

In previous lives, Stephen Hawking, Bill Gates, and Musk all expressed their concerns about artificial intelligence having self-awareness and consciousness.

In particular, Hawking in his previous life exaggeratedly believed that artificial intelligence may be the greatest disaster for mankind. If it is not managed properly, thinking machines may end human civilization.

As for whether these people have made the same remarks in this life, Lin Hui has not paid specific attention.

Anyway, from Lin Hui's point of view, this concern may have one-sided truth in theory, but in reality it is outrageous when you go deeper.

What can truly threaten human civilization must be strong artificial intelligence, and it cannot be weak artificial intelligence.

These are not entirely without threats when it comes to weak artificial intelligence.

But it is different from strong artificial intelligence, which can handle various intelligent behaviors by a set of systems.

Narrow AI requires new independent systems for each intelligent behavior.

In this case, even weak artificial intelligence poses a threat because of some kind of intelligence.

Humans also only need to carry out a certain security design for the independent system of this behavior and it will be ok.

Discussing the threat of weak artificial intelligence to human beings is not as good as considering the harm caused by the abuse of weak artificial intelligence by people with ulterior motives.

(End of this chapter)