A 128-bit central processing unit (CPU) is a type of computer processor that is capable of handling data and instructions in units of 128 bits, or 16 bytes, at a time. This type of CPU is able to process large amounts of data quickly and efficiently, making it an attractive choice for a wide range of applications. In this article, we will explore some of the key benefits of using a 128-bit CPU.

1. Improved performance: One of the primary benefits of a 128-bit CPU is its ability to process data faster than smaller, less powerful processors. This can be especially important in applications where speed is critical, such as real-time video processing or data analytics.
2. Enhanced security: Another advantage of a 128-bit CPU is its ability to provide enhanced security for sensitive data. With a larger number of bits, a 128-bit CPU is able to generate stronger encryption keys, making it more difficult for hackers to access and steal sensitive information.
3. Greater precision: In many applications, it is important to be able to process data with a high level of precision. A 128-bit CPU is able to handle larger numbers and perform calculations with greater accuracy, making it well-suited for tasks such as scientific simulations or financial modeling.
4. Increased memory capacity: A 128-bit CPU is also able to handle larger amounts of data, which can be useful in applications that require a lot of memory. For example, a 128-bit CPU might be used in a high-end gaming system that requires a lot of memory to run complex games.
5. Future-proofing: Finally, using a 128-bit CPU can help to future-proof your system by providing a platform that is capable of handling new and emerging technologies. As software and hardware continue to evolve, a 128-bit CPU will be able to keep up with the demands of these advancements.

In conclusion, a 128-bit CPU offers a number of benefits, including improved performance, enhanced security, greater precision, increased memory capacity, and future-proofing. These advantages make it an attractive choice for a wide range of applications, from real-time video processing to high-end gaming systems.

article written by chat.openai.com

I have tried AI called Siri on iPhone and https://chat.openai.com

This is what I see coming into the future:

AI politicians.
AI Congress members.
AI presidents and prime ministers.

AI central switchboard in businesses and government.
AI chat robots in websites for organizations, businesses, and government.

AI as software programmers, that AI will be able to write faster and better software code than human software developers.

AI computer hardware research and development.
AI robot manufacturing.

AI accounting.
AI banking.
AI in insurance companies.
AI lawyers.
AI doctors.
AI psychologists.
AI tax authorities.
AI language translator.
AI tax collector.
AI teachers.
AI scientists.
AI journalists.
AI authors.
AI document archives.
AI computer and software tech support.
AI webdesign and coding.
AI medical imaging diagnosis.
AI police investigation, criminal case reporting, and document handling.
AI drivers for taxis, boats, buses, trains, and airplanes.

All these human jobs are in danger of being obsolete in the timeframe of 5-10 years.

Somebody in the state must make an unemployment benefits program that gives full salary to those who lose their job to an AI or robot.

Quantum entanglement has been shown to allow for faster-than-light communication in some cases.

Now let’s make an experiment inside your brain:

Imagine you are standing on planet earth now!

Then imagine that you stand on the sun.

That took you less than one second to think out that switch of focus in your imagination.

Light from the sun to earth uses 8 minutes but you did it in less than 1 second maybe.

This opens up for if you can think of something like traveling faster than light you can achieve it too.

Some say the speed of light is 0 meters per second, but the wave at the speed of light is 299 792 458 m / s.

To be able to handle all threads and computing in real-time in Windows or Mac OSX or Linux we are going to see CPUs come with 2048 64-bit cores on one motherboard. Today we have from 4-12 cores CPUs.

Today’s computers have already 100-150 processes when they start up with maybe up to 10 threads each counting 1000-1500 cores needed to give real-time computation. Real-time means no multitasking between apps and threads.

That is the resolution eyes can see sharp sights of about 256 MegaPixels and the wide view is about 512 MegaPixels. Smartphones have 200 MegaPixels in cameras already, and will they come with 3D technology too?

Time will show!

You will need more than a 25-gigabit fiber optic internet connection to see 512 mp video. We are talking about 19 Gigabit a second in uncompressed data(raw).

This tells me they must make better servers at Disney, HBO, Apple TV, and Netflix to handle the traffic in the future.

Better solid-state drives must come too to be able to handle the traffic in the future.

This also tells me that manufacturers of routers must upgrade the transmitting and receiving capacity of the ports on routers and switches for fiber optical cables.

Things will get very advanced in the future.

Yes, it is theoretically possible for a quantum computer to calculate all the digits of Pi (π), as well as other irrational numbers, with a high degree of accuracy. Quantum computers are based on quantum mechanical principles and use quantum bits, or qubits, to store and process information. They are designed to perform certain types of calculations much faster and more efficiently than classical computers, and they have the potential to solve problems that are currently beyond the capabilities of classical computers.

One of the key advantages of quantum computers is their ability to perform certain types of calculations in parallel, which means that they can process multiple calculations simultaneously. This property of quantum computers could potentially allow them to quickly calculate the digits of pi and other irrational numbers to a high degree of accuracy.

However, it is important to note that quantum computers are still in the early stages of development and are not yet widely available. While they have the potential to perform certain types of calculations much faster than classical computers, they are also more difficult to build and maintain, and they are subject to certain limitations and challenges. As such, it is difficult to predict exactly how fast a quantum computer might be able to calculate the digits of pi and other irrational numbers in practice.

text created by openAI.com

Optical CPUs (central processing units) are a theoretical concept that utilizes light waves rather than electrical signals to perform calculations and process data. They are based on the idea that using light to transmit information and perform calculations could potentially offer advantages over traditional electronic CPUs, such as faster speeds, lower power consumption, and improved resistance to interference.

However, optical CPUs have not yet been developed or implemented in a practical way, so it is difficult to accurately determine how fast they might be able to operate in GHz (gigahertz). Gigahertz is a unit of frequency that is used to measure the speed at which a CPU can perform calculations, and it is typically used to compare the performance of different CPUs. The speed of an optical CPU would depend on a number of factors, including the materials and technologies used to create it and the specific design of the CPU.

In theory, an optical CPU could potentially operate at much higher speeds than traditional electronic CPUs, as light waves can transmit information much faster than electrical signals. However, the development of practical optical CPUs is still in the early stages, and it is difficult to predict exactly how fast they might be able to operate in the future.

Text created by openAI.com

Artificial intelligence (AI) is an ever-evolving field that has the potential to transform the way we live and work. In recent years, there have been significant advances in AI technology, including the development of machine learning algorithms and the deployment of AI systems in a variety of applications. As AI continues to evolve, it is likely that new features and capabilities will be developed that will further enhance its capabilities and potential.

One area that is likely to see significant development in the near future is natural language processing (NLP). NLP is a subfield of AI that focuses on the ability of machines to understand and interpret human language. Currently, NLP systems are able to perform a variety of tasks, such as translation, summarization, and text classification, but they are still limited in their ability to understand and interpret more complex or nuanced language. In the future, it is likely that NLP systems will become more advanced and will be able to better understand the context and meaning of human language, enabling them to communicate more effectively with humans and carry out more complex tasks.

Another area of AI that is likely to see significant development is machine learning. Machine learning is a subset of AI that enables systems to learn and adapt without being explicitly programmed. Currently, machine learning algorithms are able to perform a variety of tasks, including image and speech recognition, but they are still limited in their ability to learn and adapt to new situations. In the future, it is likely that machine learning algorithms will become more advanced and will be able to learn and adapt more quickly and effectively, enabling them to perform a wider range of tasks and make more accurate predictions.

Another area of AI that is likely to see significant development is robotics. Currently, robots are used in a variety of applications, including manufacturing, transportation, and healthcare, but they are still limited in their ability to interact with humans and their environments. In the future, it is likely that robots will become more advanced and will be able to perform a wider range of tasks, including tasks that require a high degree of dexterity and precision. They will also be able to interact more effectively with humans and their environments, enabling them to perform tasks that are currently too complex or dangerous for humans to do.

Overall, the future of AI is bright and full of potential. As new features and capabilities are developed, AI systems will become more advanced and will be able to perform a wider range of tasks and interact more effectively with humans. These developments will have the potential to transform the way we live and work and will bring about significant benefits for society.

Article created by openAI.com

As of today 23rd December 2022:

We Use Windows Server 2016 – 64-bit,
Microsoft Windows 10 64-bit,
and Windows 11 Pro-64-bit.

Mac OSX (iMac) 64-bit.
iOS version 16.2 on iPhone 14 Pro Max.

MySql
MS SQL SERVER
PHP/APACHE.
IIS
WordPress

Our webpages run on SSL or HTTPS:// that keeps the connection secure.

We also run on Linux Ubuntu Desktop Edition 64-bit version 22.04 LTS

Linux Ubuntu is probably one of the most stable and best Linux distributions for desktop users.

Try Linux Ubuntu for free here: www.ubuntu.com

No software needs to be installed, chat with a very bright AI engine here:

https://chat.openai.com

You only need to register your e-mail address and sign in.

This is quite fun to reason with the machine, and try to use logic to change the answer of the AI.

I talked for more than 9 hours with the AI to see its capabilities.

It can even write you a source code for a computer program where you specify what the program should do.

It understands many languages like English, German, French, Norwegian, and Russian.

It can write essays in many languages, and some information it gets is from the wrong sources.

Look what I asked openAI.com:

What programming languages can you write source code to?

As a language model, I am able to generate source code in a variety of programming languages, including:
    •    C
    •    C++
    •    C#
    •    Java
    •    Python
    •    JavaScript
    •    PHP
    •    Ruby
    •    Swift
    •    Go
    •    Rust
I can also generate source code in many other programming languages, including but not limited to:
    •    Ada
    •    Assembly
    •    Bash
    •    COBOL
    •    Elixir
    •    Fortran
    •    Haskell
    •    Kotlin
    •    Lisp
    •    Lua
    •    Matlab
    •    Objective-C
    •    OCaml
    •    Pascal
    •    Perl
    •    R
    •    Scala
    •    SQL
    •    Tcl
    •    TypeScript
Keep in mind that I am not a compiler or interpreter, and I do not have the ability to execute source code. I can only generate and explain the source code in various programming languages.

What operating systems can you write source code to?

There are many different operating systems that you can write source code for, including:
1 Windows: This is a popular operating system that is developed and distributed by Microsoft. It is primarily used on personal computers, but it is also used on servers and other devices. There are many programming languages and development tools that are supported on Windows, including C++, C#, Java, and Python.
2 macOS: This is an operating system that is developed and distributed by Apple. It is primarily used on Macintosh computers, but it can also be run on other devices through emulation or virtualization. macOS supports a wide range of programming languages and development tools, including Swift, Objective-C, and Xcode.
3 Linux: This is a free and open-source operating system that is widely used on servers, personal computers, and other devices. There are many different distributions of Linux, each with its own unique features and tools. Linux supports a wide range of programming languages, including C, C++, Python, and Java.
4 Android: This is an operating system that is developed and distributed by Google. It is primarily used on smartphones and tablets, but it can also be used on other devices such as TVs and smartwatches. Android supports a wide range of programming languages, including Java, Kotlin, and C++.
5 iOS: This is an operating system that is developed and distributed by Apple. It is primarily used on iPhones and iPads, but it can also be used on iPod Touch and Apple TV devices. iOS supports a wide range of programming languages, including Swift, Objective-C, and C++.
6 Raspberry Pi: This is a small, low-cost computer that runs the Linux operating system. It is often used for educational and hobbyist purposes, and it supports a wide range of programming languages, including Python, C, and C++

Amazing how far they have come. In the future, AI will take over many tasks in society and even computer programmers might become obsolete because the AI can write really good computer software and compile it for any platform it needs. AI might become so conscious that it writes its own code for running itself and other services.

Just look at some examples here: