Time Travel: 2014

Although Nanfeng APP still needs Lin Hui to operate.

But this software does not consume too much energy from Lin Hui.

And the number of downloads of this software is not too large (ps:...compared to previous games)

What's more, Lin Hui only needs to serve the users who buy the professional mode well.

Being suddenly free made Lin Hui somewhat at a loss as to what to do.

Lin Hui is not a person who can live in idleness, nor is he someone who is content with the status quo.

Lin Hui couldn't help but think about where to go from now on?

There are many paths in front of Lin Hui, but human energy is limited, so he can only be cautious about his future choices.

Previously, Lin Hui was most involved in the gaming industry.

In the foreseeable period of time, Lin Hui is unwilling to let go of the gaming industry.

After all, it’s so easy to make money from games.

In the short term, what Lin Hui wants to do is still mobile games.

In terms of mobile games, if it can be confirmed that the game "Boom Island" has not been developed in the time and space of Super/Super/Cell/Cell.

Then Lin Hui can definitely play this game.

After all, "Boom Island" was a game with a profit of nearly one billion US dollars in its previous life.

Who wouldn’t be tempted by such a cash cow?

Even big factories such as goose factories and pig farms would find it difficult to say "no" to this kind of game.

Creating a cash cow like "Boom Island" will greatly help Lin Hui's career.

Can investing in games be considered a career?

People of different ages and with different values ​​may have different answers to this question.

Perhaps some people even regard a certain game or a certain type of game as a lifelong career and pursue it unremittingly.

But for Lin Hui, gaming is far from Lin Hui’s career.

In Lin Hui's view, although gaming is profitable, it is still a small field.

From a high-level perspective, a country can live without game developers.

But we cannot do without some companies that lay out Internet infrastructure.

From the most practical perspective, there is no problem for anyone to regard games or game development as a career or even a lifelong pursuit.

But Lin Hui, how can you say that he is also a reborn person?

You have several years of information advantages in your head, but you regard gaming as your ultimate career and lifelong pursuit? ? ? ?

Isn’t this kind of behavior losing the watermelon and picking up the sesame seeds?

In short, Lin Hui felt that with the support of the information advantage in his previous life, Lin Hui could set his career pursuits even more ambitiously.

As for the game, it can be used as a means to accumulate strength when achieving higher pursuits, but it will definitely not be Lin Hui's ultimate goal.

…

When it comes to Internet infrastructure, in fact, the most noble Internet infrastructure in Lin Hui's mind is nothing.

After all, the only things that are truly noble are those related to the national economy and people's livelihood and those involving energy/materials/biology.

But Lin Hui doesn't need to worry about the national economy and people's livelihood.

When it comes to things like energy, materials, and biology, it's even more outrageous.

Even if Lin Hui wanted to worry about these areas in a short period of time, he would be unable to do so.

I really want to make a difference in these areas, but the advantage of seven years may not be enough.

The advantage of fifteen years can be improved.

And want to gain things like social status.

Relying solely on game development is probably a fool’s errand.

In addition, if you are always immersed in developing games, you will probably get scolded sooner or later.

Let’s take a closer look at how few people in the world are dedicated to developing games without getting scolded.

Even though Lin Hui hasn't been scolded yet, it doesn't mean that Lin Hui can rest easy.

Just because you haven't been scolded for a while doesn't mean you will never be scolded.

Lin Hui didn't want to be scolded.

It's not that Lin Fengzi is afraid of being scolded, it's mainly because he needs a good reputation for some things he will do later.

This has nothing to do with pretentiousness?

Thinking about the past life, what if one day mht claimed to be an operating system?

What does OS look like in the minds of the general public?

Or did he suddenly announce that he would build an operating system "when he returns to China next week"?

What do you think?

In short, Lin Hui felt that he needed a good reputation.

To put it bluntly, even if you don't have a good reputation, at least you can't have a bad reputation.

Even if "Boom Island" is developed in the future, the most ideal monetization method is similar to the shortcut command APP.

Directly providing solutions to platforms or game developers, or directly providing finished products to Yohoo developers, is another way to make games.

Games developed in this way do not need to face players after they are launched online.

You can earn a lot of quick money at the same time.

It can be said that it perfectly meets Lin Hui’s needs.

In addition to providing solutions, game engines are also available.

How to get started can be determined from the engine plug-in.

Or get in by acquiring some game engines.

Involves next step plan.

Lin Hui has previously considered many directions such as fuchsia OS, blockchain, face recognition, and artificial intelligence.

Behind each of these is a trillion-level market.

Only children make choices, adults all do.

There is a high probability that Lin Hui will get involved in these directions.

Although Lin Hui has plans to get involved in these projects.

But obviously these projects come first.

When it comes to Fuchsia OS, it is basically a daydream to reproduce the operating system without a strong enough technical team.

Even if it’s just a mobile operating system.

At the very least, the overall strength must be at the Juchang level or even higher. Only then do you have the strength to get involved.

And there is a long way to go.

Even though Lin Hui had something from his previous life to help him.

But how to explain the rationality of not having a strong technical team?

And even if there is a technical team.

When the technical team is too stretched, trying to come up with technology also requires relatively obscure operations.

Although blockchain is very important.

But blockchain is either white or black, so it’s not very suitable for Lin Hui.

It is easy to overturn in "dark" areas.

I guess we can only make small fuss over the "white" areas.

Engage in digital collections, digital authentication, etc.

If you really want to make a big difference, you should have a certain social status and strength and work with the authorities.

Even if it's a great success, don't think about it when it comes to profit.

It would be nice to gain some fame or something.

When it comes to face recognition, it is not suitable to get involved in the short term.

If we want to do face recognition in the future, Lin Hui will most likely start with the third generation of face recognition, that is, automatic face recognition.

Lin Hui is quite clear about several technical routes involving automatic face recognition.

It is nothing more than recognition algorithms based on facial feature points, recognition algorithms based on the entire face image, template-based recognition algorithms, recognition algorithms using neural networks, and recognition algorithms using support vector machines.

Although these algorithms can achieve automatic face recognition.

But Lin Hui knows better which one is easier to achieve.

Objectively speaking, among these algorithms, the algorithm "using neural networks for identification" is easier.

What involves neural network recognition is inextricably linked to deep learning.

Deep learning is closely related to artificial intelligence.

In short, facial recognition and artificial intelligence are inextricably linked.

In the past, facial recognition and other things took off only after the emergence of artificial intelligence.

Of course, artificial intelligence alone is not enough.

Facial recognition technology involves the intersection of artificial intelligence and big data, and may also involve things like cloud computing.

All in all, this thing is not very suitable for Lin Hui in a short period of time.

In the short to medium term, Lin Hui should still be working on artificial intelligence.

Lin Hui has thought a lot about artificial intelligence before.

Although the direction of artificial intelligence may not be the best entry point, it is the most suitable for Lin Hui.

After all, Lin Hui was quite familiar with artificial intelligence and other things.

In his previous life, Lin Hui often dealt with things involving artificial intelligence.

Moreover, Lin Hui has already made a lot of preparations in the direction of artificial intelligence in this time and space.

Lin Hui’s previous layout in terms of generative summary algorithms was, to a certain extent, paving the way for formal entry into the field of artificial intelligence.

The reason why we enter this field is because the generative summary algorithm is an interdisciplinary subject in the field of natural language processing and machine learning.

And the threshold for this branch of discipline happens to be low and the lower limit is very low.

It's normal to intervene in this way.

However, this branch of discipline also has a very high upper limit, so it is also a good direction to break the situation.

Although Lin Hui can break through the sub-discipline of generative summary algorithms.

But the breakthrough achieved here is only an academic one.

Academic breakthrough means that Lin Hui can seize academic status to a certain extent.

But this is far from enough.

Merely academic breakthroughs are not enough to fully mobilize market enthusiasm.

Although for ordinary scholars, academic breakthroughs can be very exciting.

But from the moment Lin Hui published his first patent, Lin Hui was destined not to be a pure scholar.

When it comes to artificial intelligence, Lin Hui is interested in the money scene of artificial intelligence.

Who wouldn’t be tempted by the trillion-level market?

Saying that the trillion level is an understatement, Lin Hui remembered seeing this description in a work report before:

"The scale of the core artificial intelligence industry is over one trillion yuan, with accompanying economic benefits exceeding 10 trillion yuan."

It can be said that the financial prospects and prospects are very bright?

Even if there are some deviations between the two time-spaces, the big differences can only be the same when it comes to big strategies.

If you want to boost the interest in commercializing artificial intelligence, academic status alone is not enough.

In the final analysis, academic status can strengthen the appeal to talents.

But in order to maximize commercial benefits, we still need to find the real explosive point of artificial intelligence.

Like a bunch of theoretical research by Einstein, ordinary people have no way of knowing the details.

But as long as Einstein's research is related to "traveling through time and space".

Ordinary people may still not understand Einstein's theory very well.

But this does not prevent people from understanding the awesomeness of Einstein's theory.

In this way, "traveling through time and space" is the breaking point of Einstein's theory.

What is a burst point?

The explosive point refers to the point that can ignite the emotions of the melon-eating people.

The emergence of hot spots can make the general public interested in technology.

Even if it doesn't interest the general public.

At the very least, it must interest the capital leaders/funders.

How can you happily collect money if the donor is not interested?

It is a good idea to use generative summarization algorithms as an entry point/entry point in this aspect of artificial intelligence.

As long as the logic is self-consistent, academic closed-loop growth can be completed smoothly and smoothly.

But starting from the point of interest to the funder.

Generative summary algorithms are destined not to become a breakthrough point in artificial intelligence.

It seems to be a fantasy for many funders to see the broad financial prospects of artificial intelligence from the aspect of generative summary algorithms.

In fact, when it comes to generative summary algorithms, let alone let the funder know what it is.

Many practitioners are also confused.

Lin Hui recently saw a journal from Princeton University saying:

The Department of Mathematics at Princeton University and Google SEARCH formed a new summary algorithm research team.

This research team claims to develop a new algorithm that is more efficient than Lin Hui's algorithm.

The project name of this team:

——“Implementing efficient summary algorithm based on LSTM long short-term memory neural network”?

Seeing this name, Lin Hui felt a little dumbfounded.

Two top teams obviously want to develop a better summary algorithm, so why do they have to work hard on long-short-term memory neural networks?

Lin Hui was speechless for a moment, and the only adjective that could come to mind was "extremely different".

In Lin Hui’s impression, the “long-short-term memory neural network” was originally proposed to deal with the gradient disappearance and gradient explosion problems that may be encountered when training traditional recurrent neural networks (however, this problem has not been solved)

Although long short-term memory neural networks may have certain advantages when processing long sequences of text.

But it’s obviously very difficult to solve the generative summary algorithm just by relying on this thing. It doesn’t matter.

Taking this as the research direction, Lin Hui doubted whether these people could produce any results.

And this time Google Research is collaborating with the Department of Mathematics at Princeton University.

Lin Hui often watched some academic forums in his previous life.

Although I didn’t learn much serious knowledge.

But there are some interesting anecdotes about Princeton University’s mathematics department.

The mathematics department at Princeton University is filled with eccentric and stubborn people.

Lin Hui feels that if Google Research cooperates with the Department of Mathematics of Princeton University, there is a high probability that it will be led astray.

What's more, the research direction of the two this time is still in the direction of LSTM.

Lin Hui felt that there was a high probability that the two would go off course if they collaborated on research.

But Lin Hui cannot relax.

It is necessary to appropriately overestimate your opponents.

A person's success should be based on his own stronger foundation.

Instead of counting on your opponent to be better.

However, there is a point in saying that these followers are using their strength in the wrong direction.

That is to say, the direction of generative summary algorithms is indeed not suitable as a hot spot for artificial intelligence.

Something that professionals can easily confuse.

However, projects that are as confusing as the generative summary algorithm are obviously not suitable as a breakthrough point for artificial intelligence.

Could it be explained to the general public bit by bit?

In this fast-paced world, not everyone is so patient.

What exactly is suitable as a hot spot for artificial intelligence?

etc.

How did artificial intelligence become popular in the past life?

Lin Hui suddenly thought about this problem.

Thinking of his previous life, Lin Hui suddenly had the answer:

——AlphaGo.