The advancements of AI

If you frequent on the internet, on sites such as youtube, or even TikTok, you may have noticed the topic of artificial intelligence, or "AI", being brought up more and more often, as it stretches from simple text generation to images, stories, essays, code, even being able to correct its mistakes after they've been pointed out. Among the most famous AI are: "Dall-E mini, Dall-E 2, Novel AI, LaMDA, NovelAI and ChatGPT", the most accesible of which are Dall-e mini, Novel AI and ChatGPT3. 

The history of AI

AI allegedly begun in the 1950s with the infamous "Turing test", created by Alan Turing in order to determine whether a machine had achieved behaviour intelligent enough to be considered "sentient". Since then, AI has only advanced further, further than anybody could resonably expect. It has evolved so far, that it is, in fact, debatable whether or not it has passed the turing test, although due to inconsistencies in results, it is unclear.

What is AI?

AI, in it's simplest form is an algorithm, a series of commands that a machine follows in order to cause an intended result. The manner in which some AI work can't trully be explained even by the programmers who created them. That would be "Self learning AI". Self learning AI are characterized by their ability to go from knowing absolutely nothing, to being able to comprehend and handle complex tasks by taking in millions of inputs. Self learning AI systems work by using a creator, which makes a bunch of randomized AI and asks them to complete a task. Once they all attempt to do it, the AI that is closer by the end is kept, and a bunch of its children, which have slight mutations, along with it, compete again. This process is repeated until an AI which is nearly perfect at this certain task is created. Tat is how self learning AI are trained.

Applications of AI

AI can be used in many ways, in fields such as entertainment, programming, science, language learning and many more. Some examples created by non-other than me using chatGPT follow. The inputs given will be placed in the titles. Please note that not all things typed by the AI are necessarily true, although it is fairly trustworthy.

Write a shakespearean-style poem about the pythagorean theorem

Verse 1: The Pythagorean Theorem, a wondrous thing, 

A mathematical gem, with beauty it doth bring. 

Its simple formula, the sum of squares, 

A triangle's length, in perfect proportion it bears.

Chorus: Oh Pythagorean Theorem, in numbers thou art seen, 

The essence of triangles, so clear and so serene. 

With thy right angles and thy squared lengths, 

Thou art a marvel, of infinite strengths.

Verse 2: A2 + B2, so simple a sum, 

Yet its truth doth stretch, from earth to the sun. 

It's used in architecture, and in engineering too, 

In calculations and designs, it doth always come through.

Chorus: Oh Pythagorean Theorem, in numbers thou art seen, 

The essence of triangles, so clear and so serene. 

With thy right angles and thy squared lengths, 

Thou art a marvel, of infinite strengths.

Verse 3: Euclid was the first, to pen it down, 

In his Elements, a treasure to be found. 

For centuries it hath stood, the test of time, 

A formula of greatness, in mathematical rhyme.

Chorus: Oh Pythagorean Theorem, in numbers thou art seen, The essence of triangles, so clear and so serene. With thy right angles and thy squared lengths, Thou art a marvel, of infinite strengths.

Outro: So let us raise a glass, to this wondrous thing, The Pythagorean Theorem, a treasure that doth bring. With its timeless beauty, and its endless might, It shall forever shine, with the brilliance of light.

Write an article about the history of AI

Can AI make jobs obsulete? Lets find out.

Artificial intelligence, or AI, is a field of computer science that focuses on creating intelligent machines capable of performing tasks that would typically require human intelligence. AI has come a long way since its inception in the 1950s and has become a fundamental part of modern technology. The history of AI is an exciting and complex journey that has seen many milestones, setbacks, and advancements.

The Origins of AI

The roots of AI can be traced back to ancient Greece, where philosophers such as Aristotle and Plato discussed the concept of a mechanical or artificial being. However, the formal beginnings of AI can be attributed to the Dartmouth Conference, held in 1956 at Dartmouth College. The conference was organized by a group of scientists who shared an interest in the new field of "thinking machines." The term "artificial intelligence" was coined at the conference, and it marked the beginning of AI as a field of study.

Early Years

During the 1950s and 1960s, AI research was primarily focused on developing rule-based systems that could perform logical reasoning. The first AI program was created in 1951 by Christopher Strachey, a British computer scientist, who wrote a checkers-playing program. In 1956, John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon created the first AI program capable of playing chess.

During the early years of AI research, many scientists believed that creating a thinking machine was merely a matter of time. However, the limitations of the technology of the time soon became evident. Computers of the 1950s and 1960s were far less powerful than modern computers and were unable to process the vast amounts of data required for AI systems to work effectively.

The AI Winter

In the 1970s, AI research faced a significant setback when progress slowed, and funding for AI projects was reduced. This period, known as the "AI winter," lasted for nearly a decade, during which many researchers moved on to other fields. The AI winter was caused by a combination of factors, including unrealistic expectations, limited computer power, and a lack of progress in AI research.

The Renaissance of AI

The AI winter ended in the 1980s when advances in computer technology, such as faster processors and larger memory capacities, allowed researchers to develop more sophisticated AI systems. The development of expert systems, which used a set of rules to make decisions, was a significant breakthrough during this period. In 1986, Geoffrey Hinton, David Rumelhart, and Ronald Williams published a paper that introduced the backpropagation algorithm, which revolutionized the field of neural networks.

During the 1990s and early 2000s, AI continued to make significant strides. The development of intelligent agents, which could interact with their environment and make decisions based on their observations, was a critical advancement. The development of machine learning, a subfield of AI that focuses on developing algorithms that can learn from data, also contributed to significant progress in the field.

The Age of AI

Today, AI is a rapidly evolving field that has become an essential part of modern technology. AI systems are used in a wide range of applications, including speech recognition, image recognition, and natural language processing. AI has also made significant contributions to fields such as medicine, finance, and transportation.

Recent advancements in deep learning, a subfield of machine learning, have led to the development of sophisticated neural networks that can process vast amounts of data and learn complex patterns. The development of autonomous vehicles, which use AI to navigate and make decisions on the road, is one of the most exciting recent breakthroughs in the field.

Conclusion

The history of AI is a fascinating journey that has seen many ups and downs. From its beginnings in the 1950s to the present day, AI

Conclusion

As you can probably tell, the AI's article was a lot better than mine, however, AI is still behind humans in most ways. AI are each trained in order to perform a specific task, whether that is text, image, music or any other type of generation. Elon Musk for example however, believes in the creation of a "Real life AI" which would be an artificial intelligence trained to complete tasks as a human would, in which case, AI could truly surpass us.