You will need more knowledge of English than C++.
Nvidia CEO Jensen Huang announced a revolutionary approach to programming and AI, predicting that people will soon not need to learn programming languages due to the development of artificial intelligence.
At a meeting at Stanford University in the framework of the SIEPR Economic Summit, Huang stressed that AI is already able to generate code for solving specific problems, and the future lies with natural language programming, in particular, in English.
Huang expressed the view that over the past decades, the world has been tied to traditional programming in languages such as C++ and Python, which will give way to more intuitive interaction with computers. According to him, instead of writing code, people will be able to explain their tasks to computers in a language they understand, which will greatly simplify the program development process.
It is expected that in the next 5 years, large language models (LLMs) will process information in the form of text, images, video and voice in real time, providing continuous self-learning. Huang claims that this approach will change the principle of interaction with computers, making it more natural and understandable for humans.
The head of Nvidia also stressed that the development of AI will help bridge the technological gap, allowing people without special programming knowledge to create applications and manage tasks using simple instructions. Huang compared large language models with highly skilled college graduates who were pre-trained to solve complex problems.
Huang claims that in 5 years, AI will be able to successfully pass any exams that humans take, including those for doctors and lawyers. In 10 years, the computational capacity of AI systems will increase by a million times, which will allow AI not only to answer questions instantly, but also to think critically, learn and imagine on a continuous basis.
Jensen Huang also drew attention to the growth of the data center industry, which he said will double in value from $1 trillion to $4-5 trillion in the next 4-5 years. In addition, the role of programmers will change in the future, but their expertise will still be in demand for working with new technologies and platforms.
Nvidia, which has a dominant position in the AI market, continues to develop its technologies, including the CUDA platform, which facilitates software development and interaction with AI. Against the background of Huang's statements, it is worth noting that Nvidia, which offers new solutions for various industries based on AI, recently reached a market capitalization of $2 trillion, which was made possible by sales of advanced semiconductors that occupy more than 80% of the AI chip market.
At the recent World Government Summit in Dubai, Nvidia CEO Jensen Huang spoke out against the common perception among technology leaders that young people need to learn to program. Even now, in the early stages of the AI revolution, programming is no longer a vital skill, he said.
Nvidia CEO Jensen Huang announced a revolutionary approach to programming and AI, predicting that people will soon not need to learn programming languages due to the development of artificial intelligence.
At a meeting at Stanford University in the framework of the SIEPR Economic Summit, Huang stressed that AI is already able to generate code for solving specific problems, and the future lies with natural language programming, in particular, in English.
Huang expressed the view that over the past decades, the world has been tied to traditional programming in languages such as C++ and Python, which will give way to more intuitive interaction with computers. According to him, instead of writing code, people will be able to explain their tasks to computers in a language they understand, which will greatly simplify the program development process.
It is expected that in the next 5 years, large language models (LLMs) will process information in the form of text, images, video and voice in real time, providing continuous self-learning. Huang claims that this approach will change the principle of interaction with computers, making it more natural and understandable for humans.
The head of Nvidia also stressed that the development of AI will help bridge the technological gap, allowing people without special programming knowledge to create applications and manage tasks using simple instructions. Huang compared large language models with highly skilled college graduates who were pre-trained to solve complex problems.
Huang claims that in 5 years, AI will be able to successfully pass any exams that humans take, including those for doctors and lawyers. In 10 years, the computational capacity of AI systems will increase by a million times, which will allow AI not only to answer questions instantly, but also to think critically, learn and imagine on a continuous basis.
Jensen Huang also drew attention to the growth of the data center industry, which he said will double in value from $1 trillion to $4-5 trillion in the next 4-5 years. In addition, the role of programmers will change in the future, but their expertise will still be in demand for working with new technologies and platforms.
Nvidia, which has a dominant position in the AI market, continues to develop its technologies, including the CUDA platform, which facilitates software development and interaction with AI. Against the background of Huang's statements, it is worth noting that Nvidia, which offers new solutions for various industries based on AI, recently reached a market capitalization of $2 trillion, which was made possible by sales of advanced semiconductors that occupy more than 80% of the AI chip market.
At the recent World Government Summit in Dubai, Nvidia CEO Jensen Huang spoke out against the common perception among technology leaders that young people need to learn to program. Even now, in the early stages of the AI revolution, programming is no longer a vital skill, he said.
