At the end of the 34th year of the Grand Duke, Judy Plutonium came to Zhu Jingyuan's residence again and gave him a set of the latest computer and software systems.

"Machine Intelligence Learning Creates Systems".

Artificial intelligence, similar to Zhu Jingyuan's previous life, is just a relatively complete software system.

Due to Zhu Jingyuan's prompts and guidance at the beginning, Judy Plutonium has been working tirelessly to develop more realistic machine intelligence in the process of developing the simulation world and various games.

However, in the early days, it was basically only used in games, and in the last decade or so, other real-world applications have gradually appeared.

For example, face recognition, item sorting, driving assistance, intelligent voice, and so on.

In recent years, these important basic capabilities have been continuously upgraded.

At the same time, there is also a new breakthrough in the range of functions.

It is already possible to chat intelligently with the user, and the device can be controlled using voice.

Articles can be produced based on headings and frames, images can be generated based on key points and elements.

Generate an intelligent voice library based on speech paragraphs, and directly generate speech based on game lines.

You can also repair and transform existing images, videos, game footage and sound.

More and more colorful intelligent applications are being provided.

At the end of the 34th year of the Grand Duke, with the completion of the mass production of a new generation of small computers, Judy Plutonium made a summary of these functions.

Judy Plutonium collectively refers to these functions as "machine intelligence learning to create systems."

Zhu Jingyuan was quite satisfied after reading it, but after fiddling with it for a while, he sighed softly.

Daming's scientific and technological level began to surpass his previous life in more and more aspects, but he was really old.

I am 64 years old this year.

Although compared to his peers in the two worlds, his current physical condition is actually very good.

But compared with when I was younger, the gap is becoming more and more obvious.

There are more and more gray hairs on the head, the body is becoming less and less flexible, and the brain is becoming more and more sluggish.

Judy Plutonium didn't know why her father sighed.

Just as he was about to ask, Zhu Jingyuan had already opened his mouth and instructed the servant:

"Call Di Lan to come over ......"

Then Zhu Jingyuan began to ask Judy Plutonium about the training logic of these intelligent systems.

After Judy Lan came over, Zhu Jingyuan asked Judy Plutonium to give him a brief explanation of these procedures.

Then Zhu Jingyuan asked a question directly:

"Di Lan, you are the chief uncle and the president of the Criminal Law Court, in charge of culture and law.

"I think how to deal with the ownership of the assets that are used in machine learning."

After hearing this, Judy Lanthanum said casually:

"Erchen thinks it's very simple, just pay for the authorization directly."

Zhu Jingyuan immediately asked:

"What is the logic and rationale for charging for machine learning? Legislation must have a convincing reason for saying the past.

"If machine learning needs to be charged, then do ordinary people also need to be charged to learn calligraphy and painting works that have been made public?"

Judy Lanthanum rightly said:

"You have to pay for learning.

"Don't talk about the consumption of learners in the learning process themselves, such as pen, ink, paper, inkstone, computers and other equipment.

"I don't talk about the cost of going to school and hiring teachers.

"It costs money to simply buy learning materials, raw materials and learning content for learning."

Zhu Jingyuan stretched out his hand and pointed to the calligraphy and painting generation software on the screen:

"The calligraphy and painting works that the creator has published for free in reality or on the Internet, and others obviously don't need to pay when they learn it.

"Does this program, which uses other people's paintings and calligraphy as learning materials, also need to pay for all the paintings and calligraphy works used?

"I remember that many calligraphers and painters made their works available for free on the Internet.

"As long as it's not used for profit, others are usually allowed to copy and learn, and some people even take the initiative to give advice."

Judy Lanthanum tidied up the language a little:

"Father, according to the existing laws of the Ming Dynasty, the works that the creator takes the initiative to make public for free are not allowed to be used by others for any profit-making purposes.

"This profit includes direct and indirect profits, as well as actions that are not profitable now but will be profitable in the future.

"Enthusiastic masters usually don't mind others copying their own work and then creating different works with a similar style.

"As long as the other party doesn't copy their design, it doesn't matter if it's used for profit.

"I take it for granted.

From the perspective of the law, there is no root cause of the conflict, or because there is no conflict of interest.

"The creators of the works that are released for free actually have a natural, and in the past, they were basically correct in their mentality and cognition.

"First of all, unless others directly plagiarize, there is no way to simply use their own works to make a profit.

"Even if someone else learns their own style to recreate, it takes a lot of effort to complete the creation.

"The other party has to do it himself, write word by word, draw line by line.

"The speed of the other person's creation will not be significantly different from that of himself.

"In most cases, the level of popularity and income of learners will not be higher than that of the originals.

"Learners also often respect the original person and see the other person as a teacher.

"This has the potential to give the original creator a prestige bonus, and may even lead to customers who can directly provide money.

In this case, of course, there is no contradiction between the learner and the original.

"Once the learner uses the same style as the original, but the learner's work is more popular than the original.

"Then the relationship between the two sides could decline quickly.

"The learner has a similar style to the original creator, and the degree of completion is higher than that of the original creator himself, and the popularity will surpass that of the original creator.

"Even if it's a customer who can provide revenue, it becomes a customer of the learner.

"It's not your own potential customers anymore.

"At this point, the learner becomes a promoter, and the original creator becomes an idea provider or style creator.

Even on this basis, as long as the learner still respects the original creator, the relationship usually does not become too bad.

"Because those who carry forward will provide additional visibility to the lonely originals.

At the same time, the one who carries forward the development is also a person, and the speed of creation is limited by the limits of the human body.

"In the case of an increase in orders, original creators of similar styles have the opportunity to receive additional practical benefits.

"The conflict of interests between the two sides is still not obvious, and the interests are still converging.

"If a learner invents a machine, he can put the original author's manuscript into it and instantly generate countless similar high-quality works.

"And make a lot of money with the 'cheap industrial goods' produced by these big machines.

"The original will be absolutely furious.

"So we don't need any complicated convincing reasons.

"As long as there is a fee for machine learning, the vast majority of existing creators will directly support it.

"Because the machine is likely to make them lose their profits, they will be quickly replaced by the other party's machine, and they will lose most of their living space.

"It's like a traditional handloom with a mechanized loom.

However, the relationship between handmade textile workers and mechanized looms is not the same as that between calligraphy and painting creators and machine learning intelligent drawing.

"The inventor of the hand-weaving technique cannot be determined, the hand-weaving worker is only the worker who has mastered the technology.

"There is no creativity in the worker's textile process itself.

"Others invent and buy mechanized textile machines without direct conflict or infringement with the workers.

"But if the worker designs a textile pattern and pattern himself, rather than the common patterns and patterns that have been passed down for many generations.

"The use of the same pattern without the permission of the workers in a factory that uses mechanized textiles is an infringement prohibited by law.

"The objects of machine learning happen to be creative products, and most of them are copyrighted products.

"So machine learning should be authorized by the copyright owner of the learning objective."

After listening to this, Zhu Jingyuan looked at Judy Plutonium:

"Second brother, do you agree with this reason?"

Judy Plutonium said directly:

"Brother Lanthan...... There is no truth to your claim, and the analogy of machine learning and textile workers designing patterns is quibbling.

"The process of machine learning, and the subsequent process of re-creation, is not fundamentally different from human learning.

"When people learn from other people's works, they essentially break the elements of the work completely, turn them into molecules or even atoms, and store them in their brains.

Then we combine these atomic materials to create a work that looks completely different from the original.

"It's just that these atoms are too small to identify direct similarities from the original.

In fact, it is just based on the rules for human identification of plagiarism, and continues to be infinitely subdivided down to the point where humans cannot recognize it.

"Is the same design pattern and paragraph plagiarism? Does the same character structure and outline count as plagiarism?

"Is copying the same design elements and verses plagiarism? Does the same line style and phrase count as plagiarism?

"Is the same color range collocation and thesaurus range plagiarism?

Continuing in this way, humans learn to use color ranges and thesaurus that may be similar to each other in the end.

"The depth of machine learning is probably deeper and more granular than that.

"If you use the standards of human law to identify plagiarism, it is absolutely impossible to identify the works created by machine learning.

"The analogy between a handloom craftsman and a mechanized loom can only be regarded as the use of similar cotton and colors.

"So why is it that human learning is not plagiarism, and that machines doing the same thing are plagiarism?

Judy Lanthanum smiled and said:

"Second brother, you may have misunderstood what I meant.

"I'm not saying that machine learning and creation are plagiarism, while human learning and creation are not plagiarism.

"Actually, according to my own opinion, both should be considered plagiarism.

"Just like the second brother you said, as long as the criteria for identifying plagiarism are infinitely deeper, all learning can be judged as plagiarism.

"On this basis, anyone who has studied someone else's art for free should not create any work for profit.

"If you want to create a for-profit work, all of my learning materials should be materials that have been licensed for profit.

"Because as long as you have studied, it is obvious that you will be more or less affected, otherwise it cannot be called learning.

"The criterion for judging whether it is plagiarism or not, it is more accurate to say what level of plagiarism is allowed.

The second brother can refer to the logic of calculus and relativity to understand this statement.

On this basis, the real human society and human creators have gone through actual social practices and laws, and have tacitly authorized other human beings to have a license for plagiarism profit below a certain level.

"However, humans have not authorized machines to use any level of plagiarism monetization criteria.

"For example, if I draw a painting, I allow you to learn how to draw by default.

"I allow you to keep the atomic structure and even the molecules of my drawings in your own brain and use them at any time.

"But you weren't allowed to store them in the machine for the machine to use.

"If a machine wants to learn, it needs to be empowered.

"Because you said, the logic of machine learning is the same as that of people, but machines happen to be not humans.

"There aren't any laws in place on machine learning.

"Machine learning hasn't come out on a large scale, and I haven't licensed it directly, let alone the facts.

"You weren't even given permission to use machine learning.

"Now, we're going to have to draft a law that will determine how much machine learning is authorized by default.

"My suggestion is that all material used for machine learning must be directly authorized by the creator.

"The purpose of this is not to stop machine learning from evolving.

"It's precisely about regulating the machine learning industry.

"The future is the era of big data, and the scale of machine learning is bound to get bigger and bigger.

"If you don't limit the scope and rules of machine learning, it will inevitably lead to the chaotic development of this industry.

"It's bound to lead to machine learning developers copying each other and it's uncontrollable.

"Of course, plagiarizing data atoms is not plagiarism, so plagiarizing the database must be plagiarism, right?

"It's like copying the scope of a font is not plagiarism, but copying a big dictionary is definitely plagiarism.

"In the new era of big data and machine learning, there should be new ownership norms for data materials.

"All data and information should be owned and valuable.

"I think this should be the logic of the times in the next era.

"With such a basic rule, there are basic rules that regulate charging and authorizing.

"Only the corresponding data model developers have the opportunity to develop the same authorized data model through the authorized data.

"In turn, it is possible to use the products produced by the machine profitably without additional restrictions.

"Otherwise, the copyright attribution of any work ultimately produced by machine learning will be vague and sensitive.

"Machines are not human beings, so human beings can not protect the copyright of machines, and completely disapprove the copyright of works created by machines.

"Only machines that treat machines as human beings have the copyright to create works that belong to their owners.

In order to obtain protection and profit with the logic of human copyright.

"But if human beings want to use other people's materials to make money, they must obtain the authorization of the other party, so that a clear copyright ownership is formed.

"If we look at the essence through the phenomenon, it is another industrial revolution to use mechanical intelligence to complete the work that only humans could do before, and to increase the output and speed by tens or hundreds of times.

"Productivity will be improved by leaps and bounds again, the production cost of the products that can be covered by technology will be greatly reduced, and the resulting benefits will be greatly improved.

"The people who provide the raw materials for the successful operation of smart machines have the right to share in the benefits of this productivity gain.

"A license for personal appreciation of learning may not be used for the development and manufacture of any production tools.

"In this way, the logic of the theory that data is valuable is clear."

After listening to this, Zhu Jingyuan looked at Judy Plutonium:

"What do you think, second child?"

Judy Plutonium thought in silence for a few seconds, and finally nodded slowly and said:

"I think there is a point in what Di Lanthani said......

"It's a good idea to use the logic of calculus to judge and distinguish the boundaries between learning, imitation, and plagiarism.

"On the public network platform of the future, when creators upload their works.

"There should be an option for whether or not to allow machine learning.

"There should also be an option on whether or not to use big data to filter and recommend information."

Judy Lanthanum listened and immediately chimed in:

"I agree with the second brother's opinion."

Zhu Jingyuan said with a smile:

"Since you two think it's feasible, then let's settle these things.

"But the question is, how can you tell if a data model has been trained with unauthorized materials?

"Do you have a way to tell the difference when it comes to data analytics?"

Judy Plutonium thought for a moment and said:

"It is possible to add some validation data to unauthorized footage to circumvent the use of unauthorized machine learning or even pollute the data model.

"But...... It is not possible to rely solely on technical means, and it is impossible to completely circumvent the cracking and screening of violators and anti-sabotage technology.

"Therefore, it is still necessary to use social and institutional restrictions and post-event disposal methods......"

Judy Plutonium said this, and looked at her brother.

Judy Lanthanum thought for a moment and said:

"There are two directions in the system, one is to default to all authorizations, and at the same time to default to all charges.

"At present, the large-scale art platforms on the Internet are the official platforms of the imperial court and the four major industrial groups.

"If private vendors and users want to build their own data models, they can only collect data from these platforms.

"Therefore, it can be stipulated that manufacturers who do not pay one of the existing platforms to obtain authorization qualifications will be directly punished according to the violation.

"The other direction is for the four major industrial groups to come forward and design a set of basic software frameworks for each.

"It's like a device with forced filtering and screening.

"Any data training done by private vendors must be developed on top of this basic software framework.

"It's inside this filter.

"This filter automatically screens for unauthorized material markers and does not directly put unauthorized material into the training process.

"At the same time, special markings should be included on the Internet for both authorized and unauthorized materials.

"It can be directly identified by these filters.

"These programs can be implemented simultaneously with the second brother's technical plan."

Judy Plutonium couldn't help but nod when she heard this:

"Well, recognition and counter-training techniques must be developed."

Zhu Jingyuan didn't comment on the idea of the two, so he asked Judy Plutonium and Judy Lanan to discuss it.

(End of chapter)