This article is part of a three-part series about the birth, life and future of AI. When my new articles are published you can find them on the blogs page on my home page.
Imagine a machine that could talk, think and behave like a human. A machine that blurs the lines between something and someone. A piece of code that could become man’s new best friend. This was the dream of computer scientists in the late 20th century. Today that hope is transforming to reality. Science fiction has evolved into the real world, and now we use it all the time in the form of artificial intelligence.
AI is a thinking bot that is used to help us in day-to-day life. Its mind is very complex and no one, not even the bot itself knows how it can think and learn from mistakes. The bots we use in social media and other day-to-day activities went through a long process to reach its current level of efficiency. However, by definition, they are yet to reach maximum productivity as they go through this iterative process to make the “brains” stronger and better.
The process starts with a human engineer who makes a “starter” bot, a “builder” bot and a “teacher” bot. The builder bot makes random connections, similar to the neurotic connection in our bodies, in the starter bot’s “brain” and sends this bot to the teacher bot to be tested. The bot is then given different tests depending on its role. These test questions are designed to reflect the requirements needed for the specialised bot to perform its role as effectively as possible. The test questions often come from human online interaction data, especially from CAPTCHA Tests (Completely Automated public Turing test to tell Computer and Humans apart). For example, computer scientists need bots to help develop automated cars like Teslas. As these questions come from human interactions, your CAPTCHA Tests may ask you to identify traffic lights or zebra crossings. Once the bots take the test, the highest scoring bots are sent back to the builder bot who makes more random changes in the bot’s “brain” and the worst bots are destroyed. This process is repeated until a bot can seamlessly identify stop signs (similar to a human). This is the creation story of AI’s thought process and how they learn. However, because the builder, teacher, and student bots have no knowledge of the student’s randomly formed connections, the brain cannot be recreated, and the entire process must begin again. It is no different to the human brain. We may be able to understand some parts, or groups of neurons but the entire brain remains a mystery.
AI is used to help humans by mimicking human intelligence and behaviour through a structured framework. The used cases are infinite in pretty much all fields of work. It can also be seen as a friend, mentor or a homework buddy. AI not only learns like a human but also deals with identifying patterns in data. While scrolling through social media, it is remembering what type of content you skip through, and which ones you view or engage with. Its job is to customise content based on user preference and progressively introduce variations to ultimately enhance engagement with the platform. This also enables targeted advertisement.
However, unlike popular belief, AI is more of an evolution than a revolution and although many of us can think that Sam Altman is a pioneer, this invention dates back to the 1950s through the Turing Test (aka The Imitation Game) proposed by Alan Turing. It is described as a test which could help us understand how well a machine could replicate human behaviour and intelligence through conversation. Nevertheless, this was still a theory, and AI was not in use at this point. Even in 1956, when AI was starting to be introduced and John McCarthy coined the term artificial intelligence, AI was not used in a contextual scenario. I think the first remarkable milestone for AI was the invention of Dendral in 1972. Dendral is an AI system that helped chemists understand the atomic structure of certain unknown molecules. It was the first AI to be used in a useful context and in my opinion was AI’s first mark on history. From there, it leapt off, from IBM’s deep blue AI, defeating chess champion Garry Kasparov to more common chatbots like Open-AI’s Chat-GPT.
Chatbots have become a huge part of society and inventors like Alan Turing, John McCarthy and Sam Altman are considered the greatest computational minds in history. AI is inevitably going to become a large part of our lives; it works in the background in areas unknown to us. In many billboards in US, cameras and sensors are used to detect the age group and mood of the people passing by and display content based off that data. This is just the start of AI’s peak; its full life and future are engulfed in many mysteries and secrets but until it is revealed we will be anxiously waiting.
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