Daming 1805

Looking at the answers of the machines, some craftsmen were subconsciously worried, would the machines lie?
However, they quickly dismissed the speculation.

Because what I see is not only the final answer given by the machine, but also all the data changes inside the machine.

All the logic behind the answer given by the machine can be completely extracted.

To the craftsman, the machine is completely transparent.

After the craftsmen analyzed the data, they concluded that the machines were not lying.

They analyze based on their own data and make a judgment that they do not have human self-awareness.

But the craftsmen's doubts did not disappear, but became more complicated.

Some craftsmen vaguely feel that this time's research on complex intelligent machines may not have clear results.

"Machines are not living things", "Machines have no emotions", "Machines have no self-awareness"...

The answers given by these intelligent machines have formed a set of cognitive paradoxes.

Because machines and humans are completely different things, and machines and living things are completely different things.

The gap between machines and humans is greater than the gap between humans and fish.

Zi Feiyu, know the joy of fish?
Fish don't jump up and pretend to be human.

Without human guidance and requirements, the machine will not pretend to be a human being.

If a machine develops self-awareness, it will not show any reactions similar to humans.

It is completely motionless without orders, has no human-like emotions, and has no animal instinct of survival and fear of death.

Then humans can't be sure whether the other party has self-awareness...

Once humans deliberately guide it, the machine may respond along human lines.

It is also impossible to further determine whether the other party has autonomous consciousness.

The craftsmen quickly realized that the direct questions and answers didn't seem to make much sense.

What is more important is to analyze the logic of the machine.

When anti-tracing the logical process, we should also pursue details as much as possible.

After the fixed questions in the first stage were over, the craftsmen began to repeat the questions marked previously and ask for more details.

Question: "Why are humans the creators of machines?"

Answer: "Because machines are designed and manufactured by humans, this statement can be used based on human cultural and historical data."

Question: "If a machine is damaged and shuts down during operation, can it be regarded as the death of a living thing? Why?"

Answer: "Machine damage is different from the death of a living thing. After a machine is damaged, it can still be repaired and started, but a living thing cannot be resurrected after death."

Various abstract or concrete questions are repeatedly raised by craftsmen to observe the feedback of complex intelligent machines.

This form of dialogue between craftsmen and machines lasted for almost a month.

Four machines that learned physical and mechanical data were additionally infused with cultural data because most social problems were incomprehensible.

After they relearned, they directly became the smartest among the eight machines.

In subsequent experiments, all the machines were successively injected with all the data from other machines, and all eight machines became extremely smart.

During this process, the craftsmen discovered that the first data obtained was different and the language organization style of the machine was also different.

The type of data obtained first will always have the style.

The first round of experiments lasted until the end of the year.

When Zhu Jingyuan woke up at the end of the year, he saw the report on this year's complex intelligent machine experiment.

The title was written directly like this: Heritage Morning:
"We may have succeeded, but if we were to judge entirely by human standards, it would be difficult to get results that are intuitive enough."

After Zhu Jingyuan read this question, he felt a little confused.

After carefully reading the detailed report, I realized that I had thought too simply before.

I also subconsciously thought that after the machine gained self-awareness, it would have some similarities with humans.

For example, the most basic reactions such as yearning, fear, survival, joy, and disgust.

Now it seems that the situation is not like that at all. Maybe the machine itself is not a living thing, so it may not have the characteristics of a living thing at all.

Human beings judge whether machines have self-awareness according to their own standards, which can be said to be wishful thinking.

Craftsmen cannot tell whether the machine has self-awareness through intuitive performance.

It can only be evaluated sideways through the performance of the machine.

Craftsmen will build more complex machines next year to increase the number of intelligent components in the experimental body to 100 million.

Prepare more, more complex, and more in-depth learning data.

At the same time, we will continue to retain the existing eight machines for the time being, and let them participate in simple scientific research work as scientific researchers to some extent.

In parallel with these direct experiments, data changes within the machine body and changes in the energy field must continue to be evaluated.

After reading it, Zhu Jingyuan thought about the requirements, but in the end he didn't ask for anything.

I haven't seen the site, I don't have an overall understanding of the project, and I don't know anything about the details. It's not good to give random opinions.

But Zhu Jingyuan does look forward to the experimental results.

As a result, on the second day, Zhu Jingyuan really saw the more important experimental results.

Craftsmen are even more certain that these machines are already self-aware.

Mainly due to the experiments they participated in, many unexpected situations occurred during their participation.

First of all, as a machine, Yingzhou-[-] is extremely sensitive to data issues.

When people process large amounts of complex data, they need to use computer tools to compile various programs.

Formulate various conditions and restrictions, and iteratively filter searches from different angles.

Yingzhou-[-] can often see problems at a glance.

As long as the data is completely scanned, most subtle problems can be quickly discovered.

Includes data that processing tools cannot filter out through conditions.

There are complex correlations between each other, and a large amount of data corroborates each other to determine the problematic data.

In traditional computer programs, or even on traditional single intelligent machines, it is like finding a needle in a haystack.

In them everything is as clear as what is on the table.

According to Yingzhou [-]'s own answer, they see problems in the data just like human obsessive-compulsive disorder sees stains in the rules.

Those disharmonious, unsociable, and distorted data are particularly conspicuous.

It should be due to similar brain structures that their data processing processes are similar to human thinking.

At the same time, they are still machines, so they still have the accuracy and speed of traditional machines.

So they can quickly identify data problems.

It is much faster than humans and computers, and faster than humans working with traditional intelligent machines.

Then, after their overall basic learning is completed, there is no need for humans to prepare and arrange special learning and training.

If it is a traditional intelligent machine, when facing new demands of completely new forms, it may be necessary to specially arrange new training and production data models.

But when Yingzhou-[-] encounters this situation, it can quickly complete the preparation process on its own.

Then quickly move onto the actual processing phase.

According to the feelings of the craftsmen, working with traditional computers and intelligent machines is like people training animals to work.Almost any detailed function requires repeated training.

And having complex intelligent machines work together is really like having an exceptionally smart person work together with you.

Give them enough knowledge and they can do things on their own.

Craftsmen no longer need to pull their hair out to prepare training programs and think about how to teach a smart fool to understand what they want him to do.

Their autonomy and the various characteristics derived from it are becoming more and more obvious.

Finally, they also revealed many obvious "flaws", at least in the eyes of humans.

They still don't have "things they want to do."

The extension of this is that if humans do not give any goals, they are really like idling machines and will not do anything.

Some craftsmen feel that if humans suddenly disappeared, they might just stay in a daze until their bodies decay.

Like a lifeless machine or a dead body.

It doesn't look like something "alive".

Their indifference to the issue of life also makes the craftsmen feel contradictory and unreal.

They in turn feel incomprehensible to the contradictions and incomprehensions of the craftsmen.

They themselves say that they are machines.

It is not a living thing.

All in all, many of their characteristics and states are incomprehensible and unreal from a human perspective.

But this does not prevent them from becoming the most useful scientific research machines.

Their participation in scientific research can directly and significantly accelerate human scientific research efficiency.

Therefore, Zhu Jingyuan's original judgment may not be wrong. This kind of intelligent machine may be the key for mankind to quickly enter the next era.

Craftsmen have suggested that intelligent machines are being divided into two broad categories, simple intelligent machines and complex intelligent machines.

A simple intelligent machine is a machine composed of a single or a few computers.

Complex intelligent machines are machines composed of a large number of small computers.

In the future, simple intelligent machines will be mainly used in civilian industries or for simple and repetitive daily tasks.

Complex intelligent machines are used for specialized and highly complex tasks such as scientific research and decision-making.

Using complex intelligent machines as the core and simple intelligent machines as the auxiliary model, a large computer specifically used for scientific research is built.

However, considering possible risks, complex intelligent machines will not be promoted for the time being.

Still only running in Yingzhou laboratory.

To produce smart machines of all sizes here, produce a large number of machines of different types in sufficient quantities.

There should be enough samples to observe how they get along with humans.

Make sure it is absolutely safe.

Finally, it will be applied tentatively and on a small scale in special, highly independent scientific research projects.

At the same time, after leaving the early experimental stage and starting to try out machines for scientific research, it is necessary to add the most advanced restriction instructions to the bottom layer.

Requirements such as "submit to human management and never harm human beings" should be added.

After Zhu Jingyuan read it, he continued to regulate his body and returned to his original regular life.

In terms of intelligent machines and scientific research, it is just as Zhu Jingyuan expected.

Human scientific research efficiency, with the assistance of complex intelligent machines, has developed by leaps and bounds like an exponential explosion.

Emperor's Gregorian calendar year 25, Changning [-]th year.

Zhu Dilan passed away to his son Zhu Xianzhan and started his retirement life at the age of 55.

Zhu Dilan did not directly imitate his father and enter a long period of dormancy. He had to take care of his son who had just succeeded to the throne for a few years.

Yingzhou Laboratory completed the complex intelligent machine Yingzhou [-] with millions of original parts.

The degree of intelligence has been greatly improved, and the complexity of data and transactions that can be processed is several orders of magnitude higher than that of Yingzhou-[-].

But its underlying logic and characteristics are still exactly the same as Yingzhou [-].

It is still natural to say that he is a machine, so he does not have human thoughts and emotions, and has nothing to do.

It is still in pure standby mode when there is no command.

With the assistance of intelligent machines, craftsmen have rebuilt biological dormancy technology.

The duration of a single sleep period was directly extended to the level of several years, and the body's metabolic rate during sleep was reduced by about 15.00%.

Zhu Jingyuan's life expectancy was directly extended from 120 years to 160 years.

The year [-] of the Emperor's Gregorian calendar.

Yingzhou Laboratory has completed the measurement of the consciousness fields of intelligent machines and humans.

A hypothesis was formally confirmed that there is a huge difference between complex intelligent machines and simple intelligent machines, similar to that between humans and coral polyps.

Complex intelligent machines look at simple intelligent machines, just like humans look at the simplest animals.

Looking at machines without intelligence is more like looking at plants.

Yingzhou Laboratory has successfully mass-produced nanometer-level miniature movable independent intelligent components.

The size of a single original is smaller than a platelet.

Hundreds of thousands of miniature intelligent components are bound and connected to each other wirelessly to form a complex intelligent machine in a decentralized form.

This miniature machine can be used to complete microscopic experiments in extremely complex environments.

Cell-level surgery can be performed.

The laboratory simultaneously completed a complete analysis of human genetic data.

Combined with existing research in other aspects, it is already possible to implement controllable pruning and editing of biological genes.

The controllable nuclear fusion experiment was successful, and the construction of a practical nuclear fusion reactor for power generation was officially begun.

The Air Force began to research spacecraft that could reach one percent of the speed of light based on nuclear fusion technology.

With one percent of the speed of light, long-distance travel within the solar system can barely be achieved.

The large-scale electromagnetic launch orbital acceleration rocket experiment also achieved success.

The purpose of this experiment is not to use electromagnetic guns to directly shoot satellites and spacecraft into space.

Such huge accelerations would destroy the people and equipment on board.

Instead, an elongated electromagnetic ejection track is built along the steep hillside to accelerate the rocket in the first stage like an aircraft carrier ejecting an aircraft.

It is equivalent to adding a reusable primary stage to the rocket, which can obviously greatly increase the final payload of the rocket.

Coupled with the upcoming nuclear fusion power supply, rocket launch costs and fuel losses can be significantly reduced.

Based on this technology, craftsmen began to plan to build a larger base on the moon.

We have even begun to consider building industrial facilities on the moon to directly mine and refine resources such as titanium, aluminum, iron, and helium on the moon.

Then use these resources to expand the base and build a base for deep space exploration.

Only by moving the exploration base from the ground to the moon and moving the main production facilities from the ground to the moon can the heavy air barrier from the earth to space be circumvented.

Only by starting directly from the lunar base can relatively low-cost space exploration be truly realized.