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.
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.
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.
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.
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.
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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.
Dette kan gjøre at strømprisene i Norge faller ned på 10-20 øre for en kWh inkludert alt, nettleie, mva, avgifter, påslag av strøm selskap. Olje prisen kan falle ned til 10-5 dollar fatet og gas prisene kan falle ned til bare 10 % av hva de er idag.
Jeg er kjempeglad på vegne av 8 milliarder mennesker på jorden. Dette trengte vi!
Det var Lawrence Livermore National Laboratory (LLNL) som fikk det til! Gratulerer så mye! Dette kan redde verdenen, menneskene, dyrene, naturen. Dette er årtusenet største julegave til menneskene.
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