“Four times Better”: Artificial intelligence teachers will soon surpass private teachers, and expect “godfather AI”

Jeffrey Hunton, a Nobel Prize and a famous personality in artificial intelligence, expected that private teachers who work from artificial intelligence can greatly outperform human teachers. Hinton predicts that these artificial intelligence teachers will be able to provide very special lessons by identifying and addressing the individual misunderstanding of learners.

He explained, “If the private teacher who is a person is twice better, this will be the best three or four times.”

This possible progress can make university education, especially in technical fields, almost old during a decade. Such a sharp change raises an existential question for universities, which was traditionally the basic pillar of technical education. “This may not be good news for universities, but it is very good news for people who learn things,” Hinton note. This indicates a future in which knowledge acquisition can become easier for a wider audience.

Hinton’s notes highlight a major shift in the educational model as artificial intelligence begins to give the democratic character to learning. While this may relate to universities, it recognizes that traditional institutions will remain necessary for research. Hinton believes that research requires an environment of original guidance and investigation, which is currently provided by universities.

Hunton, who participated in the Nobel Prize in Physics 2024 in physics because of his pioneering work on nervous networks, is also an audio defender of caution in developing artificial intelligence. It stresses the importance of determining safety and ethics priorities, and urges responsible innovation, as artificial intelligence continues to develop and is likely to disrupt traditional education systems.

Since artificial intelligence takes care of routine learning, aspiring computer science students may need to focus on creativity and solve multidisciplinary problems instead of learning by heart. Hinton notes indicate that students may need to rethink the value they are looking for from university education. “They may be good, yes,” Hinton said when asked whether computer science programs may be in danger.

The revolution of artificial intelligence already re -determines how, why and where people learn. It is not just changing the future of work but also how knowledge is transferred. This development in learning methods raises a shift in educational focus from traditional methods to innovative and creative methods of problem solving.

As the Echoes of the influencing visions of Hinton, it becomes increasingly clear that the emergence of artificial intelligence in education is not only competent but about enhancing the process of radical re -invention to learn itself. Universities and educational institutions may need to adapt to this new reality or risk to become ancient in a rapidly changed world.