Innovation is not the end. It just changes its shape.

Does AI destroy program development? Or, does AI destroy innovation? That is a good question. We must realize that there is no endless need for computer software. Not even games have a space or markets in the endless innovation and new products. This means that there is not. A possibility to create new things endlessly. There is a point that we can call: the Omega point. There is no room to continue the R&D process on that path. This is one of the things that we must realize. The AI is a tool that can make many things faster than humans. 

Wikipedia determines innovation like this: “Innovation is the practical implementation of ideas that result in the introduction of new goods or services or improvement in offering goods or services. ISO TC 279 in the standard ISO 56000:2020 defines innovation as "a new or changed entity. Realizing or redistributing values". (Wikipedia,https://en.wikipedia.org/wiki/Innovation)

Others have different definitions; a common element in the definitions is a focus on newness, improvement, and the spread of ideas or technologies.” (Wikipedia,https://en.wikipedia.org/wiki/Innovation)

Soo. If. We think about. In software development, humans are the things. That makes innovation. The economically successful innovation itself. Needs somebody interested in the product. But then we must realize. That. The innovation forms from an idea. Innovation requires an idea. And need impact.  If innovation and customer meet, and the customer feels the need for that thing. 

The innovation can turn economically profitable. But. If people think. That they don’t need some innovation, that destroys innovation. The fact is that we don’t need endlessly new software. And that is the thing that we must realize. If we make programs for the garbage, that is programming for nothing. If we work for nothing, that is a loss for the firms that we are working for. 

Programming and innovations are not over. But they get a new shape. Tomorrow, people will give. The requirements specification for AI. Which responds to those needs. And turn them into parameters. That allows it to make things. 

The purpose of the firm is simple. It must bring profit for its owners. This means that the programming is not an absolute value. There must be somebody who buys software. In modern firms. There are only a couple of people who really innovate the things that the firm sells. In games and other programs, the user interface and graphical design are important. And then the programmers must make the code. 

That is fit for those models. Most of the programs. Are games. And games. They look very much alike. Like each other. This means that. There is a question. Is there room for new ideas in the programming industry? And is it possible to create new ideas in that sector? The big thing is that. Customers care about whether the program works, not who made it. 

So, AI brings new things to the software industry. But. New things cannot be built on the old ones. The old models must someday be crushed. That brings space for new innovation. We must realize. That we cannot endlessly run. On the antique methods. And using antique production tools. The new tools bring effective methods. And the AI is a tool that can replace people who do mechanical work. Like copy-paste codes. And this means. The people who know what to do have a job. But. That causes loss to the trainees and junior coders. This means that the AI will do more. And more programming work in the future. This means programming is not over. But it gets a new shape. 

https://en.wikipedia.org/wiki/Innovation

Optical encryption boosts networks.

“The image conceptually represents the compact, chip-scale platform integrating the 5×5 VCSEL array and custom beam-shaping optics to create a structured grid of uniform square spots. Credit: H. Safi (University of Cambridge)” (ScitechDaily, Forget Wi-Fi This Laser Tech Hits 360 Gbps at Half the Power)

Encryption protects information that travels on the net. But it also protects the system from unauthorised code. If the bit that travels to the system’s gate is wrong. The system denies access. To the system. This also makes it possible. To use the same data line with multiple devices. The same optical fibre or laser beam. It can transmit information to multiple devices. At the same time. The encryption process means that each participant. 

Of the receiving system cloud, like drone swarms, can take their individual orders. The idea is that the lidar system can use the broadcast address. Or the individual participant can pick. The “personal” orders by blocking others. Than the bits that are meant for that participant. The user can give orders to the entire cloud by using the broadcast address. And then. Click on one participant, which means the participant knows. 

That the next orders are for it. When the operator clicks the icon or the point. There, the drone, etc. is. The drone sends BizTalk information to the transmitter. The BizTalk includes the individual receiving address. And then the system can start the private communication. The optical communication means that drones can have small screens there are certain images. Those images can tell a certain. The individual drone that. The next commands are for it. 

The primary concern with WiFi in secure communication is that it can be eavesdropped upon. The laser-based communication is safer. But it doesn’t completely solve those problems. There is a possibility that using scattering effects, such as micro- or nanoparticles, may make the laser beam visible from the sides. When a nanoparticle goes into the laser beam. It can aim part of that radiation to the sides. 

This is one of the weaknesses in lasers. Another thing is that. The laser beam must have a straight line of sight to the receiver. The same thing. It can make it possible to use laser communication in a room. The laser beam can be directed to the glass box.  There are nano-particles in the box, and that makes the thing look like a light bulb. The receiver can see that thing from every side. And it can make this type of communication more secure than traditional WiFi. The data can travel between rooms through optical fibres. 

When we look at. The laser-based communication, the laser beam, or the laser beam pack, can form the mosaic. That mosaic can be used to form images. The image is the thing. That acts as one of the encryption keys. If that mosaic image. Which could be geometrical. Or it can portray some  character, it's right, the system reads the bit. If that image is not in its memory, the bit is denied. In those cases. 

The image is the key that opens the system’s gate to the message. The message is, of course, open for the system. Only if it travels through the gate. This means that the encryption also protects the system from malicious code. 

The encryption prevents the system from opening its gate for unauthorised code. 

There is a possibility that laser holograms can replace the radio-based WiFi in secure data communication. The hologram. It can have a certain shape. Like a statue. The receiver can use a regular camera to recognise binary communication. 

The system can use quantum or semi-quantum communication. The shape of the hologram statue. Tells. The receiving system receives information. That the system transmits on purpose.  The shape of the hologram acts as a key that activates the decoding system. If the image that the system sees is wrong. And. If it is not stored  in its memory, the system will not recognise that information. 

This means that there are many ways to secure information. The hologram, the colour of the hologram and its blinking sequence. The hologram itself can also be covered behind the blanket. Or it can be in the box. That allows the user and the computer to see it. That hologram can look like some art. And that makes the encryption hard to break. The hologram will not transmit information if there are no authorised users in the same space. 

https://scitechdaily.com/forget-wi-fi-this-laser-tech-hits-360-gbps-at-half-the-power/

A tornado of light. Or. Optical makes the quantum internet closer.

 

If researchers want to create a quantum internet. They must protect information. In a quantum internet, information travels between superpositioned and entangled particles. But. For making that thing in real life, the system must have the ability to create a quantum channel through the air. Otherwise, the system must use nanotubes to create the channel. But. If the system can make the channel through the air, that turns the system itself more flexible than carbon nanotubes. The ability to remove magnetic fields, molecules, and radiation from the channel. That which travels through the air makes it possible to create the channel that allows quantum entanglement. To transmit information through it. 

Researchers created a spiral light. Today. Those spiral light formations are possible only on a microscopic scale. But if that technology turns more advanced. That system can be useful in a quantum network system. On the microscopic scale, the system can transmit information in photonic microchips. But in the long-range quantum network, information can travel through microscopic quantum channels. 

And that can turn many things. Like, long-range quantum communication into reality. The system makes. The spiral light, or light tornado. That can make it possible to create an electromagnetic wormhole through air. The system. It can use a spinning nanotube. And nano-technical lasers. The system could also trap a photon to orbit some object. And then the system makes the light-acoustic tornado through the air. The light tornado protects information that travels inside it. The light tornado makes it possible. To create a long-range quantum entanglement through that channel. This kind of optical system can make information transportation more secure than ever. 

But those kinds of channels make other things possible. Those systems can create a channel that allows particles to travel through the air. These kinds of systems can make things like ion cannons and antimatter-ion beams possible. Antimatter particles can be shot by using normal ion cannons. The main challenge is how to prevent. Those antimatter particles. From touching air. During their travel to the target. The antimatter beam could be possible. If. Something denies antimatter particles. Touch with material particles. If that thing is possible to deny the system, it can shoot antimatter particles through that channel.

https://interestingengineering.com/science/tornado-of-light 

https://scitechdaily.com/optical-rotatum-harvard-scientists-discover-new-structure-of-light/

Ultra-thin nanotubes and nano-technical lasers can boost a 6G network.

“Researchers have introduced an ultrathin carbon nanotube coating that can precisely control terahertz radiation, a part of the spectrum expected to play a major role in future 6G technologies. Credit: Stock” (ScitechDaily, New Carbon Nanotube Coating Could Supercharge 6G Technology)

Ultra-thin nanotubes and nano-technical lasers can boost a 6G network. And photonic- or non-electronic computer development. There are actually three main types of non-electric computers. 

A) Optical computers that use lasers or photons as data transporters. 

The first thing means that system transmits information using laser rays as a whole. When the laser shuts down, the value is zero. When the laser is on, the value is one. 

B) The photonic computer that uses quantum photon technology for storing and transmitting data. 

The second thing means. That. The system uses quantum technology, which packs information into single photons. 

C) Systems that transmit information in the form of radio or terahertz radiation. 

“DTU researchers have invented a nanolaser constructed in a semiconductor membrane that causes electrons and light to gather in a small area (blue shadow). By using light instead of electrical signals on microchips, data speed can be increased and energy loss reduced. Credit: Yi Yu” (ScitechDaily, Scientists Create Tiny “Nanolaser” That Could Revolutionize Future Computers)

Carbon nanotubes can absorb terahertz radiation. And that thing can boost the 6G technology. Additionally, it can boost high-power computing technology. The nanotube-based film. It can act as an insulator in high-speed data transportation. The system can transmit information through those nanotubes in the form of coherent radio. Or optical areas. The nano-sized lasers can send their laser beams through those nanotubes. 

Nanotube-based technology can also boost optical computing technology. Basically. An optical binary computer is similar to an electronic computer. The system shoots photons to the light meter. A certain light level is one. And below that level, light gives a value of zero. The binary photonic computer is sometimes mistakenly mixed with quantum computers. In quantum computers, there is more than one value. But in optical binary computers, there are only two values, 1 and 0. 

There are two ways. To make an optical or photonic computer. 

1) Fully photonic computer. There, the microchips and all components use photonic data transportation systems. 

2) Semi-optical systems. There are only wires that connect microchips. Or integrated microcircuits are replaced by optical data transportation tools. And internal data transportation or data processing in those microcircuits. Happens by using the electric method. In this case, the optical computer uses nano-scale lasers to transmit data. And nano-sized photovoltaic cells receive that information. 

But the problem with optical computers is the system that transmits information. Lasers are effective tools, but they need power. Theoretically, a photonic- or optical computer is more energy-efficient. Than the electric computers. The main problem is that. The photonic computers are not a useful solution. To computer energy problems. If the energy that the photonic system saves. Goes to high-performance cooling systems. But nanotechnology can be the answer. To that problem. Nano-sized lasers are much easier to cool than full-size lasers. 

Another answer could be the so-called wireless computer. The system can use radio waves. Or. Terahertz rays. The system must protect that information from eavesdropping and outside effects. In that system. The system uses nano-sized radio transmitters to transmit data. In the computer. And that makes nanotubes useful tools for. Those kinds of systems. 

https://scitechdaily.com/new-carbon-nanotube-coating-could-supercharge-6g-technology/

 https://scitechdaily.com/scientists-create-tiny-nanolaser-that-could-revolutionize-future-computers/

Multi-dimensional light can offer secure data storage.

"Researchers developed a holographic data storage approach that stores and retrieves information in three dimensions by combining the amplitude, phase, and polarization properties of light. Credit: Xiaodi Tan, Fujian Normal University in China" (ScitechDaily, This Multidimensional Holographic Breakthrough Stores Massive Data Inside Light Itself)

Holograms, or multidimensional light, are tools that can store and transport information. The hologram stores information in multiple layers. And then the image recognition system observes that data. This is one way to secure communication. Secured communication requires multiple variables. The wavelength. Or the colour of the image, the image itself, and sub-images in the image are things that can be used for secure communication. The image can act as the bit. 

We can say that the image of Donald Duck. It can have a value of 0 or goofy. It can have a value of zero. The system can send those images in a series of other images. And. The receiving system picks only images that mean zero or one. 

"The image shows (a) the holographic data storage system schematic diagram, (b) a schematic diagram illustrating the complex plane for double-phase decomposition of complex amplitude and (c) an example of a checkerboard pattern for two phase values m and n. Also shown are (d) an example of the intensity distribution at the image plane and (e) an example of phase distribution at the image plane. In (f), the first (I) and second (II) records are shown, with the readout shown in (g). Credit: Xiaodi Tan, Fujian Normal University in China"(ScitechDaily, This Multidimensional Holographic Breakthrough Stores Massive Data Inside Light Itself)

The system can also use different images as flashes, and then. The system can measure the time the image is visible. The system must see. A certain image. At a certain time, it accepts the bit. The system that tries to break the code must have all information about the key that the system uses to open the messages. 

In this model, the time the image is visible. It is the thing that determines the value of the bit. If the system sees the image in 2 seconds, the value of the image in the computer memory is 1. And if the time is shorter, the value is 0, for example. The image that the system sees can also include a word or letter. And that makes it possible. To create an encryption process that is very flexible and effective. 

https://scitechdaily.com/this-multidimensional-holographic-breakthrough-stores-massive-data-inside-light-itself/

Memristor-based technology can solve AI’s energy problem.

“A new brain-inspired nanoelectronic device offers a glimpse into a future where artificial intelligence hardware consumes far less energy while becoming more adaptable. Credit: Shutterstock” (ScitechDaily, Tiny Brain-Inspired Device Could Solve AI’s Biggest Energy Problem)

The memristor is a resistor. That remember. Its position when electricity is cut. Wikipedia determines memristor like this: 

“A memristor (a portmanteau of memory resistor) is a non-linear two-terminal electrical component relating electric charge and magnetic flux linkage. It was described and named in 1971 by Leon Chua, completing a theoretical quartet of fundamental electrical components which also comprises the resistor, capacitor, and inductor” (Wikipedia, Memristor)

The memristor is the tool. That can answer the AI’s energy problem. The memristor can remember its position. So. That means the position can act as binary memory or even quantum memory in modern computers. Even if one memristor has positions 1 and 0, that means those memristors can act as a hard disk. And in those cases. The memristor group can act as brain cells for the computer. The memristor uses less energy than standard components, and it can be the answer to AI’s energy problem. 

This technology allows the creation of brain-mimicking systems. 

The ability to use memristors as mass memory makes it possible to decrease the need for electricity. These kinds of systems can also help to keep the system’s temperatures low. And it can improve the system’s effectiveness. When we think. About. The use of the DNA-controlled nanomachines as artificial neurons, the memristors in those machines’ manipulators, can revolutionize computer technology. In those axons. The memristor determines if the value in each axon is 1 or 0. In human brains, each axon. Or their ion channels have a value of 0 or 1. 

The thing that makes human brains so effective is this. There are so many neurons. And the second thing is their morphing neural structure. In that morphing neural network, the system can separate a certain number of neurons into different entities. So that means the brain can share missions between neuron groups. 

Those neuron groups, or neuron clusters, can work with different problems. This is why we can walk, talk, and think. At the same time. But when brains see some bigger problems. It can combine those clusters to work. For one purpose. If the system, or its creator, uses  nanomachines as artificial neurons, it can simply create a thing that mimics the brain. 

https://scitechdaily.com/tiny-brain-inspired-device-could-solve-ais-biggest-energy-problem/

https://en.wikipedia.org/wiki/Memristor

The AI still cannot think like humans

. 

"An AI model once claimed to replicate human cognitive behavior across a wide range of tasks, sparking excitement about unified theories of the mind. However, new findings suggest its performance may rely more on learned patterns than true understanding, raising deeper questions about how intelligence is defined and measured. Credit: Shutterstock" (ScitechDaily, Did Scientists Overestimate AI’s Ability To Think Like Humans?)

The AI still cannot think like humans. The AI is an ultimate tool to handle large data masses. And.  In these cases, there is no need for so-called deep knowledge. The AI beats humans. When we think about AI. And its ability to solve mathematical problems. We face an interesting thing. The AI handles things better than humans. If we set formulas for it. And determine variables for the AI. But if the AI must find the right formula from the net. And make the calculations, it will not be. So effective at all. Mathematical problems and mathematics are examples of exact sciences. Every single mathematical problem must be solved following the exact rules. Calculation orders are simple and clear. 

But searching. The right formula is not an exact science. The system must compile its orders with the data that it finds. In the cases where the system must answer verbal questions, it’s not very effective. The world is full of mathematical formulas. And that makes it hard to find them. The AI handles things. Like stock market investments. It must only know whether the value of the stock rises or decreases. This means it must handle only two variables. 

But when the system must think deeply. Or, otherwise saying, answer to the question: Why is something done? Or why something happened, the AI has problems. The AI is a good tool in limited areas. When we develop robots that operate automatically in closed areas, those robots don’t require complicated algorithms. The robot can read even QR codes: Where it must turn. Or where is the thing that it needs? There are no surprises in those closed and limited environments. But. When we make programs for self-driving cars, there are many variables that the robot must notice. 

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When AI starts data processing, it collects data from multiple sources. It takes this first step. But then it doesn’t take the next step. It doesn’t compare the information that those data sources involve. And that makes the AI give answers that have no connection. With topics of the question. 

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Do you remember everything? What do you need to notice when you drive a car? And imagine what happens if the programmer doesn’t remember to describe things like balls to the autopilot. Things like DNA-controlled nanomachines are more effective. Chemical programming allows them. To make complicated things. But they follow fixed orders. They can learn many things. They can learn to search for things like new types of cancer cells. But that thing doesn’t mean. Those systems can think like humans. For humans, thinking is more than just a reaction to something that activates some database. 

Human thinking involves aspects like feelings. Computers and machines can mimic feelings. They can react to things like tears. But those systems will not feel anything. The thing. That they see or hear activates some kind of reaction. AI can collect data, but it doesn’t process it. Very deeply. When we ask things. Like. Something that is not very common. The AI might give an answer that is completely wrong. It might be about the wrong topics. And that tells us that the AI cannot think. 

It can collect information, but it cannot compare the sources of the information. Or, it doesn’t know the meaning of the information. This means that the system can search a data source. But it cannot confirm that source. The AI detects topics about the homepage. But then. It cannot understand the thing. That. The homepage involves. 

When we think. About the information processing models. We can say that the AI takes the first step. It searches information from multiple sources. But then. It misses the second step. It doesn’t compare those sources. And that makes AI. To give false and ridiculous answers. 

https://scitechdaily.com/did-scientists-overestimate-ais-ability-to-think-like-humans/