Time Travel: 2014

Chapter 331 The era of interdisciplinary subjects

Although it is a blue ocean, sometimes a completely blue ocean is not a good thing.

No one visits may not be because others don’t want to go, but it may also be because the water is deep and the waves are too big and no one can go.

If Lin Hui wants to do online office work, a lot of things will take a lot of time.

The most important thing is that it is not enough to just solve the most basic problems of "communication".

In addition to the basic need of communication, online office also has many high-level needs.

For example, a mature online office system also needs to consider productivity issues.

The implementation of productivity involves a lot of cloud-related content.

Including but not limited to cloud computing, cloud deployment, etc.

These are destined to make it difficult for Lin Hui to succeed in a short period of time.

Not only that, online working also requires stronger remote collaboration support capabilities.

This undoubtedly puts forward new requirements for communication.

Furthermore, in some scenarios, achieving efficient online office collaboration requires some research on distribution.

In addition, there are many scenarios that require separate corresponding development.

And these will drastically increase the workload. In other words, if you want to build it, it can be completed in a day and night.

And the most troublesome part is that there are no shortcuts in the construction of corporate online offices.

Even though Lin Hui had done a lot of online work in his previous life.

But this does not mean that Lin Hui can copy what he did in his previous life.

Because in many cases, the construction of online office needs to be combined with the company's own business model and actual needs to formulate corresponding planning and implementation strategies.

These were somewhat out of reach for Lin Hui at this time.

There is an old proverb called "looking at the mountain and running to death"

We have obviously seen the mountain, but if we really go there, it will take a long time and we will have to walk a long way.

In other words, the mountain is there, but running toward it without considering the feasibility of things will often lead to tragedy.

The situation described in the sentence "Looking up the mountain and running to death" is also Lin Hui's helplessness.

Lin Hui clearly understood the direction of many things.

But if you really ignore or don't know how to take detours and go towards your goal, you may end up with a very tragic end.

But in fact, many practical situations have to be taken into consideration when actually implementing it.

These realistic situations hindered Lin Hui's steps.

If we were to travel back in time to 2004, there might still be a situation where a single technology would become popular all over the world.

But now is 2014, and society is no longer the kind of era where one can rely on a piece of technology to run amok.

As the new round of scientific and technological revolution and industrial transformation accelerates, some important scientific issues and key core technologies often emerge in many disciplines.

At the same time, new growth points are constantly emerging.

Under such circumstances, the deep cross-integration of disciplines is unstoppable.

Under this trend, from a certain perspective, the coming era is the era of interdisciplinary subjects!

Although there is currently a lack of unified understanding of the connotation and extension, evolution rules, and construction mechanisms of interdisciplinary subjects.

Often conceptually confused with interdisciplinary research.

But the advent of the interdisciplinary era is an indisputable fact.

Take the machine learning that Lin Hui wants to do as an example.

This is a typical multi-field interdisciplinary subject.

Why do you say that?

Research in the direction of machine learning will obviously involve mathematics and computer science.

Specifically, it involves content about probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory, etc.

In addition to the two related subjects of mathematics and computer science.

Because machine learning specializes in studying how computers can simulate or implement human learning behavior to acquire new knowledge or skills.

Therefore, it also involves research in biology, bionics and other aspects...

In this case, the progress of machine learning needs to be promoted by the joint progress of mathematics, computer science, biology and other disciplines to some extent.

This is also a typical feature of interdisciplinary subjects.

Progress in the interdisciplinary era is not about connecting points to areas, but connecting areas to areas.

This is the characteristic of this era. The development of most technologies is moving forward in a network vein.

Even a small number of technologies still develop linearly.

However, actual development is basically progressing in a roundabout way.

Although the progress of many things cannot be achieved in one step.

But this does not prevent Lin Hui from moving forward.

Although Lin Hui will also get involved in game development in the future.

But game development has never been regarded as a career by Lin Hui.

The game Shenma is just a temporary strategy for Lin Hui to make money.

Regarding future career plans, Lin Hui felt that the most important thing to do was to completely ignite artificial intelligence.

Lin Hui has already thought a lot about artificial intelligence.

In fact, Lin Hui didn't need to think too much.

The popularity of artificial intelligence in previous generations and the frequent results have proven the feasibility of this direction.

Even though artificial intelligence in previous lives has developed for many years, it is still developing weak artificial intelligence.

But at this time, Lin Hui didn't need to think too complicatedly.

Only weak artificial intelligence is enough to mine for 5 to 10 years.

If the water flows steadily, it can be done for ten or twenty years.

As for what will happen twenty years from now, who can say well?

Who can predict what will happen even ten years from now?

In reality, perhaps many people with lofty ideals have detailed plans for what will happen ten years from now.

Although the plan is perfectly done, in reality it is often the case that the plan cannot keep up with the changes.

This is exactly the reality, without the support of national strategy.

What I have accomplished by myself will not be considered a career ten years from now.

Being able to stick to a plan or direction for four or five years is considered pretty good.

Not to mention individuals, even if many companies can persist in one direction for four or five years without the support of national strategy, it is quite good.

The reality is that business factors and market factors play a large role.

For many companies, not to mention sticking to one direction for four or five years, it is pretty good to stick to one direction for three years.

In this case, Lin Hui didn't need to worry about anything in the future.

At least there is no need to worry too much now.

Even if Lin Hui thinks too much in a short period of time, it is probably useless.

The tipping point of artificial intelligence.

Lin Hui had also thought deeply about it before.

Just make the move step by step and you'll be fine.

The only thing worthy of Lin Hui's further consideration is to make a more proper and reasonable layout and prepare for a rainy day.

Otherwise, you will have to work hard to plant a tree.

It would be bad to let others steal the fruits of victory.

This is not Lin Hui's unfounded worries. It is a common thing for the fruits of victory to be stolen.