Many people are sceptical, cynical, and confused about the concept of the metaverse since the beginning of this year.
It has added to the enigmatic nature of augmented and mixed reality for some. The metaverse, on the other hand, is a significant moment in the history of extended reality; a world that is edging closer to the’second life’ that many have long anticipated. Anxieties have been piqued further by reports that some of the world’s leading tech companies are working feverishly to develop AI supercomputers.
How can we manage supercomputers in the metaverse and virtual reality in a responsible way when they enter the picture?
Defintion of a supercomputer:
A supercomputer, in a nutshell, is a high-performance computer. There are a number of ways that this performance, which is far superior to that of any consumer laptop or desktop PC on the market, could be put to use. To perform the most complex computations possible, these computers are made up of many computers working in parallel.
FLOPS — or “floating point operations per second” — is a common acronym used to describe the speed of a supercomputer. One of the most important metrics for these high-end processors is FLOPS.
Numbers with decimal points, including very long ones, are known as floating numbers. FLOPS is a measurement of the amount of time it takes a computer to process a large amount of data or perform a complex operation. A computer’s ability to handle these complex calculations is predicted by this formula.
The market for supercomputers
Over the next five years, the supercomputer market is expected to grow at a compound annual growth rate of about 9.5 percent. Cloud computing and cloud technologies, as well as the need to train and operate AI on larger datasets, will drive this growth.
As public interest in supercomputers has grown in recent years, companies around the world are now vying to outdo and outpace each other on their own supercomputer projects.
First to break one petaflop barrier was IBM’s Roadrunner, which could perform one quadrillion operations per second in 2008. Fugaku, a supercomputer based at the RIKEN Centre for Computational Science in Kobe, Japan, is reportedly the world’s fastest machine. There are 442 petaflops of processing power in this machine.
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According to three experts, the state of AI in 2022 will be as follows:.
Activision Blizzard and Microsoft’s acquisition of Activision Blizzard
Artificial Intelligence (AI) powerhouse Meta
Meta announced on social media at the end of January that it was building an AI supercomputer. If Meta’s prediction is correct, the world’s fastest supercomputer will one day be Meta. Only the most advanced artificial intelligence algorithms can be run on it.
By the end of 2022, the second phase of its construction is expected to be completed. With 16,000 total GPUs, Meta’s supercomputer will be capable of training AI systems with more than a trillion parameters on data sets as large as an exabyte—or one thousand petabytes—and the company has promised that it can do so.
What does this mean for AI’s future, despite the impressive numbers?
The future is bright for the metaverse and supercomputers.
Using Meta’s supercomputer, the company promises a slew of revolutionary applications, ranging from ultrafast gaming to real-time and seamless translation of massive quantities of text and video — imagine an international conference where speakers from many different countries can converse in real time. Large amounts of images or videos could be scanned for harmful content or a single person’s face could be recognised among many.
Next-generation artificial intelligence models, the Metaverse, and future metaverse technologies will all depend on computers. Meta’s supercomputer, as well as supercomputers in general, have serious ethical implications because of their enormous power.
Specifically, how does the Forum assist governments in the responsible use of AI?
It has always been necessary for society to have discussions about how new technologies should be used — and how they should not be used. In this respect, supercomputers are no different from the rest of us. There are still flaws in AI’s ability to solve some of the world’s most difficult problems, despite its many successes. It is not the AI algorithms that are to blame for these flaws; rather, the data that is fed into these algorithms is to blame.
What if the metaverse and virtual reality become a “second life,” and we carry the flaws and prejudices of our first life into the metaverse and virtual reality?
Human privacy and the privacy of our thoughts are two of the most pressing issues in the new era of artificial intelligence. This raises serious questions about how we interact with artificial intelligence (AI). For AI ethics, transparency, explanation, bias-free and accountability must be maintained.
If a calculation or process is to be explained, we must be able to explain why it was started, what exactly happened when the AI ran it, ensure that it did not have a preexisting bias against any group or idea, and clearly identify who should be held accountable for the results.
However, it is yet to be seen if these supercomputers and the companies that make them will consistently and transparently address these four key areas But as they gain more and more power and influence over our lives — both online and in the real world — this issue becomes even more urgent.
We’ll see parallel computing and use cases at the speed of thought thanks to a surge in supercomputing. Eventually, supercomputers and intelligent software will work together in a hybrid cloud to feed computation to a quantum computer, which has the potential to outperform even the most powerful supercomputers.