We have been through the development of various technologies in the past 10 years: Cloud Computing, Big Data, Web3, IoT (Internet of Things), Metaverse, and of course, AI and Deep Learning. All these have been widely discussed topics around the world. Many of them were applied to different industries.  Take cloud computing as an example, it has been applied to nearly every aspect of people’s lives – health care, agriculture, online courses, finance, online shopping, streaming services, etc. 

There are also many successful practices of technology in the field of education. Duolingo, Coursera, Udemy, Khan Academy, etc.  However, while other parts of the world are embracing the advantages of technology, many educational practitioners, especially teachers in public schools, seem to be more conservative about its usage.  In the field of education, things do not seem to be changing. Students are having lessons and lectures in 2025 just as any students 30 years, even 50 years ago. As a tech person, I’m eager to push the utilization of technology in general education practice. 

Since around 2010, the progress in deep learning and GPUs started to enhance the flourishing of AI, making the computation and training of deep neural networks possible. In 2016, AlphaGo beat humans in the game of Go, a board game that is more complex than the universe, believed to be un-computable until AlphaGo. In November of 2022, based on the Transformer architecture, OpenAI released ChatGPT 3.5, opening up the gate to NLP (Natural Language Processing). 

GPT raised NLP to the next level. What’s next?

We are actively discussing new possibilities of GPT – what kind of labor can GPT replace in education practice?