
Experts in the field of technology have confirmed that artificial intelligence has gone beyond being just a technological development to become a cognitive and linguistic revolution that is changing the way we understand the digital world. They explained that concepts such as “deep learning” and “generative models” have become necessary tools to understand the rapid changes in the fields of work, creativity, and communication.
Experts also indicated that words have always played a fundamental role in building civilizations throughout history, from ancient philosophy to the industrial revolution. They added that the world is witnessing a new linguistic revolution led by artificial intelligence, and that understanding the language of this intelligence has become a necessity, not just a luxury, especially with expectations that it will become an integral part of our daily lives.
In this context, a set of basic terms appear that are considered the basic building blocks for understanding artificial intelligence, including “Artificial General Intelligence (AGI),” which refers to systems capable of learning and thinking in various fields in a similar way to humans. There is also “Artificial Superintelligence (ASI),” which is a theoretical concept that refers to the superiority of artificial intelligence over human capabilities in all fields.
These terms also include “deep learning,” which relies on multi-layered neural networks to analyze huge amounts of data. In addition to the “Large Language Model (LLM),” such as the “GPT” models, which are capable of understanding and producing human language with high accuracy.
The experts also pointed to other vital concepts such as “Natural Language Processing (NLP),” which enables computers to understand human texts and speech, and “Natural Language Generation (NLG),” which allows converting data into understandable texts, in addition to “sentiment analysis” used to understand the emotional tone in texts.
Regarding the ethical aspects, terms such as “Ethical AI” and “Responsible AI” have emerged, which focus on developing fair, transparent, and accountable systems, while respecting human values, privacy, and reducing biases.
The specialists confirmed that understanding these concepts is no longer the preserve of specialists, but has become necessary for everyone who seeks to understand the digital future, especially in light of the great acceleration in the adoption of artificial intelligence in various sectors, from education to the economy and the media.