Introduction to Generative AI and Its Future Integration
Luis Pineda Cortés, a researcher at the Institute of Applied Mathematics and Systems (IIMAS) at UNAM, believes that within the next decade, Generative Artificial Intelligence (AI) will become as commonplace in daily life as telephones, personal computers, or cell phones once were.
Pineda Cortés’ Perspective on AI Integration
During his participation in the panel “From Turing to Generative AI: Horizons of AI from Academia” at the AI Summit UNAM – OpenAI and Fintual, Pineda Cortés, the creator of the Memoria Asociativa Entrópica, explained that AI will become so commonplace it will be considered “invisible.”
Potential Evolution of Generative AI
He also anticipated that this technology could evolve to resemble human intelligence, acting more like an active memory that stores not just words but thoughts and experiences.
Understanding Generative AI
Héctor Benítez Pérez’s Insights
Héctor Benítez Pérez, Director General of Computing and Information and Communication Technologies (DGTIC), noted that while many people view AI as a technology that processes information quickly, he emphasized that it is actually a collection of scientific disciplines capable of mimicking certain human cognitive functions.
Alan Turing’s Influence on AI
During the meeting, they referenced Alan Turing’s pioneering article “Computing Machinery and Intelligence,” published in 1950. Turing’s central question, “Can a machine think?”, laid the groundwork for the current AI debate. Boris Escalante Ramírez, Coordinator General of the Advanced Computing Studies Center, explained that Turing’s ideas didn’t progress due to insufficient technology at the time. It was only with the development of machine learning that significant strides were made.
Advancements in AI through Deep Learning
Escalante Ramírez pointed out that with the advent of deep learning and artificial neural networks, AI models began to surpass human performance in data classification. These multi-layered structures mimic the brain’s ability to extract relevant features from information.
Mexico’s Contribution to AI Research
Despite limited groups of AI research in Mexico, Benítez Pérez highlighted that their scientific production is of high quality and has international impact. “We are part of a community that responds and creates academic science at a high level,” he concluded.
Key Questions and Answers
- What is Generative AI? Generative AI is a subset of artificial intelligence that creates new content, such as images, text, or voice, by learning patterns from existing data.
- Why is it significant? Generative AI has the potential to revolutionize various industries, including art, music, writing, and even scientific research by automating content creation.
- What does Pineda Cortés predict? Pineda Cortés believes that within a decade, generative AI will be as integrated into daily life as telephones, personal computers, or cell phones once were.
- What are the origins of AI research? The concept of AI was introduced by Alan Turing in his 1950 article “Computing Machinery and Intelligence,” which posed the question, “Can a machine think?”
- How has AI evolved? With advancements in deep learning and artificial neural networks, AI models have surpassed human performance in data classification tasks.
- What is Mexico’s role in AI research? Although there are limited groups of AI researchers in Mexico, their scientific contributions are of high quality and have international impact.
