Increasing information about human brains. Makes it possible to create computers that mimic human brains.

The cells that make us think abstractions are in the middle of memory. Those cell's mission is to connect memories into new entirety. And they play key elements in productive and abstract thinking. 

The individual cells, once called "Jennifer Aniston cells" control the human brain's ability to handle and create abstractions. The ability to think abstractions is the thing. That makes us humans. The purpose of those things is to connect memories together into new entirety. That is the key to thinking abstractions or commonly: imagination. Brains are quite slow thinkers. 

Their thinking speed is about 10 bits per second. That thing is quite slow. But brains can start thinking in multiple positions in the brains. And that makes them effective. Brains have two speeds to handle information. The faster speed is for emergencies. When senses bring information to brains that they mark as "danger" neurons can store the abstraction and use the sensorimotor brain shells to operate in those situations. 

Then brains can continue to think. Thinking is slow because the brain uses neurotransmitters for that thing. And the thing that can make that process faster would be electric thinking. But the problem in that case is that. If sensors or senses report something alarming. The transmitters are easier to store than electric signals. Data travels in an electric form on a neuron's shell. 

That is a good way to transmit information between the senses and neurons. The system uses the principle that the cells should react to danger and must have a minimum number of reactions. The information that travels in those cells includes data "attention danger". Then reflex neurons give the orders to muscles. The reaction is determined by the sensor that sends data. The receiving neuron reacts a certain way by determining what is the axon that brings data to it. 

The key areas for abstract thinking. 

Thinking is slow, reflexes are fast. 

The purpose of senses or sensors is to create information for supporting decisions. Senses' mission is not to make decisions in computers or human brains. Decisions are made by neurons. 

Those neurons are near the angles. But in the case that those cells should make complicated things there is one problem. That kind of system is vulnerable to electromagnetic fields. 

When we think about artificial brains or computers the "abstract thinking" in those machines can happen using the ion qubits that travel in the nanotubes. And lasers can make fast communication. 

The artificial "Jennifer Aniston cells" can give imagination to computers. The new photonic microchips and the ability to control magnetic phenomena using light make it possible to create computers that have the imagination. 

The knowledge of how the brains work makes it possible to create computers that mimic human thinking. The artificial "Jennifer Aniston cells" can be sub-processors that collect data from the different memory units and then connect that data into a new entirety. That thing will give the computer or neural network the ability to think abstractly or use imagination. Those new computers can use spintronics and photonics to make them energy-friendly. 

The photonic computer can use things like ions or some special molecules to create a system that is similar to the human brain. Those ions that are chemical qubits can travel in the nanotubes. The alarm signals can use laser communication. 

https://www.quantamagazine.org/concept-cells-help-your-brain-abstract-information-and-build-memories-20250121/

https://www.sciencealert.com/scientists-quantified-the-speed-of-human-thought-and-its-a-big-surprise

Observations and abstractions.

No, the AI will not replace mathematicians or anything else. Even the best calculator requires formulas that they use. When we think about calculations and other things that computers make, we must realize that the calculations require formulas. Then the computer must make the calculations by following the mathematical orders. The order of calculations is one of the most important things in mathematics. 

Before the quantum computer or binary computer can solve the calculation, a formula is required. Without formulas the calculation is impossible. And the mathematicians make the mathematical formulas. When researchers are making models of the interactions they search the behavior of the fields around objects. 

But it's quite difficult to observe fields that are 1000 ly away from Earth. Researchers look at how materials behave in those fields. And then they try to make the formula that creates curves. Then they try to make curves that match with observations. During that process, we must realize one thing. We cannot see fields or static fields. We see changes in the field. When material delivers energy it shines. The nebulas around neutron stars shine because they deliver energy that neutron stars pump in them. 

That is the way how natural scientists work. But the world of mathematics is interesting. That world of numbers and formulas is purely virtual. The reason why we use a decimal system where ten comes after nine is that we have ten fingers. The ten (10) means that the calculator who uses fingers for calculation must change the hands. 

The number of fingers determined the value where the retake of numbers must be done. There are ten basic numbers. That can form all known numbers. And when we think about zero (0) that is empty. So ten means. The calculator must begin calculations from a new series of ten numbers. The ten means that the series of ten numbers is used. 

The AI still requires humans. Even if it's more capable than ever before. AI can be productive, it can calculate many things faster than humans. But the problem with AI is this. It doesn't have any kind of imagination. The AI collects data that matches with orders that it gets. And then. AI makes a combination of the data that it collects. 

But does the AI have imagination? When we think of abstraction and use our imagination we make simulations. But when our brains make simulations. They just collect data from different memory blocks. And then they make new model or new images from those memories. That new image might have no connection to the real world. We can imagine that we have wings and fly like birds. But in that process, we just combine humans with birds. Memories are material that the brain processes. 

The ability to think abstraction is the key to the innovation. But before innovation, we must have theoretical models. We can say that imagination is the simulation, or virtual simulation in our brain. And also the AI can create and improve its skills using simulations. The simulation is a virtual action in the computer memory. During that process, the AI simulates missions that it should transfer to robots. Those robots can turn that virtual model into real action.