From Infancy to SINGULARITY: The 7 Stages of AI

Could machines ever be able to think and reason exactly as a human artificial intelligence is not simply a science fiction concept but an ever-evolving reality that has progressed through different

stages

over the years? Each stage marks a big step forward for machines to think and reason. even outsmart humans in different ways, the question is where we are now and where we are headed, let's explore the seven

stages

of AI, stage one, rule-based artificial intelligence systems, in the first In the days of artificial intelligence, there were these rule-based systems that set the stage for what was to come.

These early systems, sometimes called single-task systems, worked by following a set of rules or instructions written by programmers. Imagine playing a game of chess against one of these early intelligent machines. He knew every possible move and a result thanks to his strict programming he could discover the best move to make, but he couldn't learn or adapt. Beyond those established rules, that's what happened with Deep Blue in 1997, it was made by IBM and it beat Kasparov, the world chess champion, after tying a match. The year before, that victory really changed the way people thought about computers and showed that there was still a lot of untapped potential in this technology.

These systems were excellent for tasks with clear patterns, such as detecting mechanical problems or sorting tax forms. They were reliable and didn't work. They did their job well, but they could not understand the context or deal with situations that were not already programmed in them, they simply did not have the ability to learn and think flexibly like a human does, despite the fact that these first artificial intelligence systems They were pretty basic, they paved the way. The path to interesting things that came next showed that machines could handle specific tasks intelligently, but it was obvious that to truly imitate human intelligence we would need something much more advanced, stage two knowledge and context-aware systems, the next step. on the AI ​​journey.

It was about grasping something really important context. These improved systems no longer adhered to strict rules, they were able to remember information and use it to shape their responses in a more flexible way. Giant databases began to be built that stored all kinds of information about the world, from historical facts to how things are connected. Inspired by how our brains work, neural networks allowed machines to learn from data and make guesses, and natural language processing made it easy for us to chat with them. We saw glimpses of this before with innovative tools like Eliza, a 1960s computer program developed at MIT, but now we see it better in virtual assistance like Siri or GPT chat.

Ask about the weather in a city right now and you'll get an answer. follow up with and tomorrow and without needing more information the AI ​​knows that we are still talking about the same city, it remembers that detail to develop an appropriate response while they are not thinking for themselves, but these systems took a big leap by going beyond strict rules and understanding context, that's why our conversations with machines are becoming a little more fluid today stage three domain-specific systems as artificial intelligence advanced, a new stage emerged in which these technologies they got really good at specific things instead of just knowing things, these systems got really smart in particular.

Campos, a notable example of this phase. It was IBM's Watson project back in 2006. IBM publicly announced Watson, an artificial intelligence effort whose goal was to develop a computer capable of understanding and answering questions in natural language. The goal was to go beyond traditional data processing and give machines the ability to understand human context. The effort took five long years and culminated with Watson gaining global recognition in 2011 when he participated in the renowned television show Jeopardy and defeated two of the best human contestants. This milestone demonstrated Watson's ability to process large amounts of information, understand natural language, and provide accurate real-world data. time responses One of the fields where Watson has had a significant impact is Medicine by analyzing a large amount of medical information.

Watson helps doctors diagnose and treat complex diseases. He can look at a patient's symptoms, compare them to a huge database of medical cases, and provide smart suggestions. For treatment, these highly specialized artificial intelligences acquired knowledge and understanding of their particular domain that far exceeded what any human being could achieve thanks to their ability to analyze large amounts of data, identify complex patterns, and make informed decisions or predictions at speeds. amazing. Impressed by what they can do, they still don't match what we normally think of as artificial intelligence, stage four of thinking and reasoning. This is where things get really interesting, once a machine had the ability to imitate human thinking and reasoning processes.

Note that we could start talking about true artificial intelligence, but this is a big challenge for us humans, because if a machine can match or even surpass human intelligence, does that mean it can act like us? And what about reasoning our ability to think logically and make intelligent decisions, how do we even know if an AI can do that? The response came in the form of a test of applause. During the clap test, testers participate in various text-based communication games with real humans and artificial intelligence programs, machines or chatbots. a blind test so that testers do not know whether they are fooling a human or a chatbot if AI programs manage to generate human-like responses to the point where testers have difficulty distinguishing between the human program and the chatbot.

AI, AI is considered to have passed, so if AI can understand complex concepts, solve novel problems, and even generate creative ideas. It is said to have logical reasoning processes like humans. Current generations of AI i, programs like Google's Lambda and Open AI's GPT chat, for example, have come close to passing the applause test thanks to techniques like machine learning and deep learning that allow them to learn from the experience and improve over time, but like I said it's not there yet, let's see what the next stage five of artificial general intelligence AGI is. Now we're talking about something that's mostly just an idea Artificial General Intelligence or AGI: This is like the ultimate goal of AI, where these technologies could do everything a human mind can do and maybe even more in recent years.

Generative artificial intelligence models have been a real phenomenon, but these systems have limitations and for years companies and researchers have been working in an even more ambitious field of artificial general intelligence, unlike previous task-focused systems. or specific domains, a true AGI would have the ability to learn to reason and apply knowledge holistically, regardless of how diverse or complex the intellectual activities involved may be. Not only would artificial general intelligence or AGI be able to make judgments and reason in situations of uncertainty based on learning and training, as well as communicate in a natural language plan or learn, in other words, it would possess all-encompassing intelligence and is self-aware.

A general artificial intelligence would be capable of performing all the tasks that humans perform and even others that they are not capable of; Over time it is estimated that such AGI systems could replace humans in virtually any field and render human work obsolete, which would have enormous social and social consequences. economic implications, but this is all still more theory for now, well, at least as far as public knowledge is concerned, stage six of artificial superintelligence SO we are now entering even more complicated territory, we are talking about artificial superintelligence, a level of cognitive abilities that far surpass those of the human mind.

This term was coined by Ray Curtz, director of engineering at Google, defender of the term Singularity and a well-known figure in this field. In his opinion, machines will pass the touring test in 2029, but his predictions vary. He further explains that once we create AGI, that system will be improved at an exponential rate until it reaches a point where its intelligence operates at a level incomprehensible to human understanding, at which point the Singularity will be reached and has a date for the arrival of this. hypothetical superintelligence in 2045, so with ASI AI would not only be as good as humans, it could be even better, it could do things faster, better and more efficiently, an ASI could tackle really difficult problems like climate change or diseases that we have not been able to solve.

Solving it could lead to ideas and innovations we can't even imagine right now, giving us information about the universe we can't even dream of, but this also raises big concerns: what happens if this super-intelligent AI gets out of control? or does things we don't plan raises some really important questions about who is in charge, what intelligence really means, and even what consciousness is. It's a little scary, but it's also very exciting. Now let's talk about the endgame of stage seven of AI evolution. the AI ​​Singularity we are talking about a hypothetical future point where technological progress becomes practically uncontrollable and irreversible causing great changes in human civilization or to put it in a slightly more alarming way, the technological

singularity

will be that moment in history where technological development will reach an unprecedented point a moment absolutely unlike anything before because machines will match and surpass human intelligence this will lead to what Oxford philosopher Nick Bostrom calls an explosion of intelligence machines will improve themselves so that Each new generation, being more intelligent, can improve its own intelligence by giving way to another new, even more intelligent generation and so on.

Trying to guess what will happen next is practically impossible, who knows what these super intelligent machines will want and that generates great concerns: if they will take over the world and if they will do what happens to us. Will they see us as a threat and get rid of us or let us stay like we do with wild animals in the jungle? But hey, let's not panic. The uniqueness is still just an idea. Some people think it could happen. Others think. It's just science fiction, we can't know for sure what will happen until it happens, what is certain is that the journey of artificial intelligence will continue to surprise us and shake up what we think we know, it will grow and change in the way we do.

I can't even imagine now if we can live alongside this or we are heading towards the end of humanity. All we can do is wait and see if you like this video press thumbs up and subscribe for more thanks for watching this video. of the artificial channel Intel