Rapid advances in Artificial Intelligence (AI) are generating much controversy in society, often without scientific basis. As occurred the development of other emerging technologies, such as the introduction of electricity in the early 20th century, AI causes both fascination and fear. Following the advice of the philosopher R.W. Emerson's advice'the knowledge is the antidote to fear', this paper seeks to contribute to the dissemination of knowledge about AI. To this end, it reflects on the following questions: the origins of AI, its possible future evolution, its ability to show feelings, the associated threats and dangers, and the concept of AI singularity Keywords: Artificial Intelligence (AI), Fourth Industrial Revolution, Beginnings of AI, Development of AI, Automatic learning, Machine learning, Feelings in AI, Dangers of AI, Advantages of AI, Singularity of AI, Superintelligence, Frictionless Reproducibility (FR), Large Language Models, General AI (GAI), Intelligence, GPT Chat.

On Wednesday, author David Brin announced that Vernor Vinge, sci-fi author, former professor, and father of the technological singularity concept, died from Parkinson's disease at age 79 on March 20, 2024, in La Jolla, California. The announcement came in a Facebook tribute where Brin wrote about Vinge's deep love for science and writing. "A titan in the literary genre that explores a limitless range of potential destinies, Vernor enthralled millions with tales of plausible tomorrows, made all the more vivid by his polymath masteries of language, drama, characters, and the implications of science," wrote Brin in his post. As a sci-fi author, Vinge won Hugo Awards for his novels A Fire Upon the Deep (1993), A Deepness in the Sky (2000), and Rainbows End (2007). He also won Hugos for novellas Fast Times at Fairmont High (2002) and The Cookie Monster (2004).

Mea culpa: I was wrong. The artificial intelligence (AI) singularity is, in fact, here. Whether we like it or not, AI isn't something that will possibly, maybe impact software development in the distant future. No, not every developer is taking advantage of large language models (LLMs) to build or test code. But for those who are, AI is dramatically changing the way they build software.

Check out all the on-demand sessions from the Intelligent Security Summit here. Generative AI, which is based on Large Language Models (LLMs) and transformer neural networks, has certainly created a lot of buzz. Unlike hype cycles around new technologies such as the metaverse, crypto and Web3, generative AI tools such as Stable Diffusion and ChatGPT are poised to have tremendous, possibly revolutionary impacts. These tools are already disrupting multiple fields -- including the film industry -- and are a potential game-changer for enterprise software. All of this has led Ben Thompson to declare in his Stratechery newsletter to declare generative AI advances as marking "a new epoch in technology."

The concept of the AI singularity has been a topic of fascination and speculation for decades. At its most basic, the singularity refers to a hypothetical future point in time where artificial intelligence will surpass human intelligence, leading to exponential technological growth and a radical change in the nature of human civilization. The singularity has been described as a "tipping point" or a "knee of the curve" -- a moment when technological progress will accelerate at an unprecedented rate, leading to rapid and radical changes in society. While some believe that the singularity could lead to a utopia of technological advancement and human prosperity, others worry that it could have disastrous consequences, with some even going so far as to predict that it could lead to the end of humanity as we know it. Regardless of what the future holds, the AI singularity is a topic that is ripe for exploration and discussion, and one that will likely continue to be a source of fascination for years to come.

As things stand, AI is already a dominant field in technology and every year grows exponentially as researchers continue collecting data and innovating new applications for it. There also exists the ethical discussion surrounding how the current state of AI affects employment, industries, and how far we are from AI singularity. Through lack of care when feeding data related to social equity, gender, race, sexual orientation, and even over- and under-representing groups, we are left with AI that discriminates just as we do, and perhaps even worse as AI frequently is used when dealing with things at scale (Manyika 1). This can also be seen in medical schools and job applications where incompetent AI have taken opportunities away from various groups who may somehow have been discriminated against in the AI's training data. In parallel, as more companies examine our online behavior, more training data is gathered for AI focusing predominantly on ads and suggestions.

It may sound like nothing more than a thrilling science fiction trope, but scientists who study artificial intelligence warn that AI singularity -- a point when the technology irreversibly surpasses the capabilities of the human mind -- is a real possibility, and some say it will happen within a few decades. Surveys of AI experts, including this one published in the Journal of Artificial Intelligence Research in 2018, tend to find that a significant chunk of researchers think there's at least a 50 percent chance that some people alive today will live to see an AI singularity. Some expect it within the next decade. The moment AI reaches human-level intelligence will mark a profound change in the world. Such sophisticated AI could create more, increasingly advanced AI.

Artificial intelligence was coined in the summer of 1956. Most experts are confident that singularity will happen sooner in the future rather than later. Artificial intelligence (AI) has become a technological reality for businesses and organizations across industries. Even if its benefits may not be always easy to quantify, AI has proven itself capable of improving process efficiency, reducing human errors and labor, and extracting insights from big data. Scientists are still unable to reach technological singularity to surpass human intelligence with a view to outsmart, outperform or outdo it. Reaching singularity could be a defining moment for humanity when machines reach a level of intelligence that exceeds that of humans.

Could EU policy keep the machines from taking over? Silicon Valley luminaries certainly think so. They're funding a nonprofit organization to make legislators aware of the threat that out-of-control AI poses to humanity. While policymakers are busying themselves with how AI could make decisions over social benefits and job applications, the Future of Life Institute is focused on preventing a Matrix-style insurrection. "Humanity does not have anything to protect it from the potential risks of artificial intelligence," Jaan Tallinn, one of the co-founders of Skype, said in an interview.

An AI identifies a person while they are walking on the street. As the AI market expands and AI use cases permeate every industry, every once in a while I hear the question - when will the AI singularity occur? For those who are not familiar with this term - the AI singularity refers to an event where the AIs in our lives either become self aware, or reach an ability for continuous improvement so powerful that it will evolve beyond our control. While this is a reasonable concern in the future, I argue that there are much more pressing concerns in the present - in particular that AI has reached a Tipping Point. A tipping point is a state where a technology grows and permeates our lives very rapidly, building upon itself.