The Miraculous Journey of Artificial Intelligence

Table of Contents

1. Introduction
2. The History of Artificial Intelligence
3. How Neural Networks Work
4. Differences Between the Human Brain and AI
5. Can AI Surpass Human Intelligence?
6. The Future of AI
7. Pros and Cons of AI
8. Security Concerns with AI
9. General Artificial Intelligence
10. Conclusion

The Miracle of Artificial Intelligence

Artificial intelligence (AI) has come a long way since its inception in the 1950s. Today, we have humanoid robots, digital humans, and unmanned cars that are driven by AI. While AI has surpassed humans in speed, accuracy, efficiency, and tirelessness in narrow areas, it has yet to equal or surpass human intelligence in all parameters. In this article, we will explore the differences between the human brain and AI, and the prospects we have with AI in the future.

The History of Artificial Intelligence

The term "artificial intelligence" was first used by John McCarthy at a Dartmouth conference in 1956. Since then, AI has experienced three booms in decades of scientific and technological development. The first boom came from the 1950s through the 1970s when humans consistently invented software for neural Perception networks and chat rooms. They managed to prove some mathematical theorems and declared the era of AI is coming, that robots will surpass humans within 10 years. But it didn't happen.

The Second boom was in the 1980s to 2000s. The discovery of new machine learning techniques and neural networks led to speech recognition and ideas for applications, making AI popular again. But after most of the ideas failed, the second boom stopped. In 2006, the idea of deep learning came up, and in 2012, the imagenet competition made a breakthrough in image recognition. In 2016, AlphaGo beat the world champion Go, and on it went. A third boom began, which is still going on today and only getting stronger with the proliferation of language models like chat GPT.

How Neural Networks Work

A neural network is a computer algorithm that mimics certain functions of the human brain. It contains virtual neurons organized into layers that are connected to each other. The individual neurons transmit information between each other, thus performing calculations similar to a human brain. But unlike the brain, the neurons in a neural network have a specific numerical value, zero or one. The layers of neurons are also connected by simple numbers that represent weight, i.e., the importance of each layer to the next. The values of neurons and the weights of the layers are the parameters of the network. When the engineers train a neural network, they look for the value of these parameters to minimize errors in the results. If the algorithm does not perform well, the developers change the weights of neurons and their connections, optimizing it until they get the results they want.

Differences Between the Human Brain and AI

Previously, a significant difference was considered to be that neural networks are much smaller than our brain, which was about 100 billion neurons. However, this has all changed with the introduction of chat GPT4. Although the developers do not disclose how many parameters make up the architecture in their model, many experts estimate the figure to be 300 billion to several children. So in terms of size, we're already losing, but our big AdVantage is that our brains are much less energy-intensive.

For comparison, last summer, the Frontier supercomputer surpassed the processing power of a single human brain. At the same time, a machine costing 600 million dollars and weighing more than 3.5 tons consumes a million times more energy than our brains. In addition, the brain has an amazing ability to store information, estimated around 2500 terabytes.

Can AI Surpass Human Intelligence?

From the perspective of an engineer trying to build a walking robot, the example of the tower and we is a fail. But from the AI's perspective, it traveled a great distance as fast as possible with minimal effort. Furthermore, take wheat. When the seeds ripen, they don't crumble to stop falls to spread them over the maximum area. Wheat took millions of years of evolution to invent this mechanism, and AI managed it much faster. It turns out that a neural network can't think like a human, but it can demonstrate an eerie simulation of almost instantaneous evolution.

Speed is where the brain certainly loses out. We Are much slower at processing information. Today, AI is able to perform about 10 billion operations per second, while living neurons are stimulated at a rate of no more than a thousand times over the same period. This speed of processing also means that AI is able to make a much more informed and correct decision that humans can't do, although not in all areas but only where the decision strictly depends on the correct processing of specific data.

Our advantage is that AI depends on the data given to it, whereas our thinking allows us to draw conclusions that aren't limited to an input set of facts. In addition, we adopt any change much more easily, whereas neural networks have so far struggled to transfer their experience to other situations. Neural networks do not build models of the world; instead, they learn to categorize Patterns. To date, they do not think, but they only try to imitate human logic, just as GPT is not an artificial intelligence but works only as a super-advanced T9.

The Future of AI

The fraction of human intelligence that can be modeled through neural networks is just the tip of the iceberg, which includes only logical, explicit, and universal consciousness and intelligence. But every iceberg has an underwater part, and an analogy of our brain, this is the vast amount of unconventional, illogical, and personalized consciousness Hidden from outside eyes. That doesn't mean that AI can't become super intelligent without copying the human brain but evolving along its path.

Besides, what makes us think we're the crown of creation in terms of intelligence? We compare ourselves only with those who live on our planet, for example, with kittens and feel on top, but that doesn't mean we're the only possible form of higher intelligence. Artificial intelligence can think differently than we do, and there is great value in that. AI can find new ways to solve our problems, Create new structures and substances, and develop itself in ways that human engineers could Never think of.

Pros and Cons of AI

Pros:

• AI can perform tasks faster and more accurately than humans.
• AI can work tirelessly without getting tired or bored.
• AI can help us solve complex problems that we couldn't solve on our own.
• AI can help us make better decisions by analyzing large amounts of data.

Cons:

• AI can be biased if it's trained on biased data.
• AI can be used to automate jobs, leading to unemployment.
• AI can be used to create fake news and propaganda.
• AI can be used to create autonomous weapons that can harm humans.

Security Concerns with AI

For this to happen, we need to develop certain security standards for systems with artificial intelligence and also rules for working with it. For example, if we over-rely on AI, it can lead to a loss of critical thinking skills and dependence on algorithms.

General Artificial Intelligence

It's possible that the future will see so-called general artificial intelligence capable of solving a wide range of problems, but it's also possible that it will be a completely different intelligence profile than human intelligence. Rather than trying to replicate humans, such systems could fill large gaps in our intellectual capabilities, filling areas where we're inherently limited. In such a development, control of the future would remain with humans, but it would be intelligent machines that would help build it.

Conclusion

In conclusion, the idea of creating machines that can think and act like humans is smoothly transforming from fiction to reality. While AI has surpassed humans in narrow areas, it has yet to equal or surpass human intelligence in all parameters. However, AI can find new ways to solve our problems, create new structures and substances, and develop itself in ways that human engineers could never think of. The future of AI is exciting, but we need to develop certain security standards for systems with artificial intelligence and also rules for working with it.