Reborn in 2010, the AI ​​in my mind is too powerful.

The spherical laboratory is actually quite large; normally, it wouldn't feel crowded even if twenty people sat there.

However, everyone present was a wheelchair addict, and each person had to be accompanied by their most capable student. Chen Yiran had no choice but to let them go in and visit in batches, and then come out to the preparation room for a meeting.

The lineup here at this moment can be described as extremely impressive.

Leading the group is Gerald Edelman, Nobel laureate in Physiology or Medicine, a leading figure in neuroscience and the founder of neuroDarwinism (the theory of neuronal group selection). He was diagnosed last year with late-stage prostate cancer that has metastasized throughout his body, and was already in a state where he was prepared to die at any moment.

Paul Greengard, a Nobel laureate in Physiology or Medicine, was a biomedical scientist who first proposed that chemical factors could transmit nerve cell signals, and at that time he was working on cancer treatment.

Marvin Minsky, winner of the 1969 Turing Award, one of the fathers of artificial intelligence, and co-founder of the MIT AI Lab, has become immobile due to arteriosclerosis.

Susanna Colkin, Professor Emeritus of the Department of Brain and Cognitive Sciences at MIT, a leading authority on memory neuroscience, and a lifelong researcher of the famous amnesiac patient HM, whose liver cancer had now metastasized to the lymph nodes.

Paul H. Paterson, Chair Professor of Neuroscience in the Department of Biological Sciences at Caltech, a leading figure in neuroimmunology and Huntington's disease research, is a young man who, despite being diagnosed with glioblastoma last year, still chooses to attend laboratory meetings.

Oliver Sachs, a professor of neurology at NYU School of Medicine, a world-renowned neurologist, and a leading authority in clinical neurology, has just been diagnosed with liver metastases from melanoma.

Jonathan Wolper, a professor of neuroscience at Brown University, a pioneer in the field of brain-computer interfaces, and a key initiator of the BrainGate project, was diagnosed with ALS last year, and his condition has progressed abnormally rapidly.

Joseph Keller, an applied mathematician, was a comprehensive scholar who studied neural impulse propagation, the development of the mammalian visual system, and wave propagation. At this time, he was suffering from kidney cancer and was extremely thin.

Shouren Ge is an honorary chair professor in the Department of Electrical Engineering at the University of California, Berkeley, a member of the National Academy of Engineering, a foreign member of the Chinese Academy of Sciences, a founder of modern EDA disciplines, and suffers from late-stage pancreatic cancer.

James D. Meindl, Chair Professor of Electrical Engineering at Stanford University, a member of the National Academy of Engineering, a pioneer in low-power VLSI and biomicroelectronics, and the first to propose the theory of the physical limits of chip power consumption. He was diagnosed with high-risk myelodysplastic syndrome last year and is now experiencing pancytopenia.

Each of these ten people was accompanied by one or two younger scholars. These were not their most intelligent or accomplished students, but they were the students who listened to them the most and trusted them the most.

Professor Xenoy pulled out a blackboard and said, "Alright, everyone's here. We could actually call a few more, but there are a few who have difficulty even getting on a plane. Also, don't worry about leaks. They're all going to die anyway. We're prepared to try something ethically wrong before we die."

"These young people, you'll have to take care of them in the future. They quit their jobs and brought their families here; you have to make sure they have food to eat. Even if their research doesn't go well, you still have to protect them."

Chen Yiran, of course, would not refuse: "Don't worry, supporting dozens of scholars is not a big problem for me. Now you can ask me any questions you have."

Professor Xenoy exchanged a few glances with the people below, then asked, "Why don't you tell them the details yourself? I've already explained it once, but they still want to hear it from you personally. Ideally, you could demonstrate it for them."

"Okay, to put it simply, I was pulled out of our three-dimensional world and came into contact with the essence of the world, which I can only say looks like a membrane."

"From outside the membrane, what does your surroundings look like?"

Did you still have a sense of time at that time?

"What about the things on the membrane? Do you understand?"

The people below began listing the questions, but Chen Yiran waved his hand.

"Don't panic, listen to me. At that time, I was completely outside the membrane, but I couldn't understand the things around me, so I couldn't describe it."

I saw the membrane. At first, I didn't understand what I saw, but recently, as my understanding has deepened, I can give the closest description.

I feel that what I see on the membrane, according to my understanding, is a cellular automata.

Cellular automata are discrete dynamical models proposed by mathematicians John von Neumann and Stanislav Ulam in the 1940s, who hoped to study whether machines could replicate themselves.

Stanislav Ulam proposed a mathematical framework for simulating systems using grid cells. Based on this, John von Neumann designed the first formal cellular automaton model in human history: the von Neumann self-replicating automaton.

This first automaton was extremely complex: a two-dimensional grid, 29 cell states, and intricate interaction rules. Its goal was to rigorously prove that self-replicating structures could be generated in a purely rule-based system.

The game that truly popularized this concept was Conway's Game of Life in 1970. In 1970, British mathematician John Conway simplified the complex self-replicating system to an extreme degree.

He reduced the 29 states to only two: life and death, and condensed the complex rules into three. When the current cell is in a dead state, if there are three living cells around it, the cell will become living after iteration, which is used to simulate reproduction.

When a cell is currently alive, if fewer than two (excluding two) of its neighboring cells are alive, the cell becomes dead, simulating a lack of life samples that prevent reproduction.

When a cell is currently alive, it becomes dead when there are more than three other living cells around it, simulating an overabundance of life forms and insufficient resources.

Then the world was astonished by this incredibly simple game. With just these three extremely simple rules, a game was created that could perform logical operations such as NOT gates and AND gates through collisions or absorption. Mathematicians have proven that the Game of Life is Turing complete, meaning that anything a computer can do can be simulated.

In fact, many people have believed that although the circumstances are different, Conway's Game of Life proves that only uncommon rules are needed to evolve an exceptionally complex world.

Chen Yiran noticed that the people below didn't seem surprised, so he continued to explain his thoughts: "I think I see low-level base coding, at least similar to Conway's Game of Life, or rather, it's very simple."

They operate on that membrane, which is the underlying computing substrate of the universe. The matter, gravity, and physical laws that we perceive are all phenomena that emerge after the smallest information units on the membrane are continuously iterated according to the rules of minimalism.

If the cell size on that membrane is the Planck length, then the iteration cycle is the Planck time. Because the scale is far smaller than the limit of human detection, spacetime appears continuous on a macroscopic scale. Just like how, if the pixel density on a screen is high enough, the human eye cannot see the individual pixels, but only perceives the image as smooth.

Then I know you're all waiting for my demonstration, and Professor Xenoy probably already told you.

Let me state upfront that I am clearly not a supernatural being capable of going to heaven or the earth. However, I recently discovered that this might be because I once experienced being detached from this membrane and then completely disassembled into the most basic information units, which were then laid flat on this computing substrate.

My consciousness itself briefly became part of the substrate, resonating with the most fundamental iterative logic of the universe. After being projected back into the three-dimensional world, the intuitive imprint of this set of underlying rules remained deep within my consciousness. I can't explain the principle, but I can instinctively perceive the underlying iterative logic of all complex systems.

What resonates with me most right now is the silicon chip. Perhaps it's because, in essence, a silicon chip is a massive number of the smallest switching units etched onto a two-dimensional plane of a wafer by humans using matter in a three-dimensional world. In reality, it's completely isomorphic to the essence of the world and to the fundamental patterns on that film.

Therefore, I can leverage this isomorphism to access the computing processes of all chips. Of course, I cannot directly create computing power out of thin air and make a 28-nanometer chip unleash the performance of a 7-nanometer chip.

However, I can skip all the upper-level compilation and algorithmic redundancy and directly access the 0/1 states at the transistor level; in other words, I can directly make changes in the electronic world.

Afterwards, Chen Yiran gave various demonstrations in front of these people. Chen Yiran can now communicate with Jasmine in the computer entirely through some mysterious connection, and can even contact all electronic worlds and directly command them.

These old guys certainly wouldn't believe him so easily. They made all sorts of other demands, and to prevent Chen Yiran from using some kind of AI technology to deceive them, they began to use every trick in the book.

Several MIT graduates wrote a note, asking Chen Yiran to find a corner to secretly read it and then take action. Chen Yiran opened it and saw that all he had to do was hack into Caltech's official website and put MIT's motto on it.

Two Caltech graduates also helped him hack into a live MIT OpenCourseWare broadcast and switch it to SpongeBob SquarePants.

In the end, Chen Yiran cooperated with them for a full two hours. These people seemed to have recovered a lot, and none of them complained of being tired. They even came up with all sorts of strange and unusual things to ask Chen Yiran to do.

Finally, Gerald Edelman, the most senior member, couldn't stand it anymore. He stopped everyone's absurd behavior and said to Chen Yiran, "We all understand why you called us here. We will cooperate with you, and we will also mobilize resources to cooperate with you."

To be honest with you, we've discussed this before. It's impossible to be completely unafraid of death, but we're not that unable to accept it either.

However, becoming a digital human is just, just too appealing. To be honest, when you're pushing research forward like crazy, who cares about ethical issues? So we've all decided to give it a try. So, what do you need us to do?

Chen Yiran said excitedly, "I feel that it's actually not that difficult. We just need to make a biological computing chip with living neurons."