The CEO of Nvidia, Jensen Huang, described artificial intelligence (AI), as a transformative force, by onbilling it a “great equalizer”, for its ability to allow anyone to program a daily language.
He made this statement to the London Tech Week on Monday, noting that basic technical competence was once complex, which required control of programming languages and system design. “We had to learn programming languages. We had to archite it. We had to design these computers who are very complicated, ” He said.
The CEO Huang, whose company designs some of the most advanced semiconductors and chips of AI, stressed that very few people know how to use programming languages like C ++ or Python, but “everyone knows” human “.”
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“The way you program a computer today, to ask the computer to do something for you, even write a program, generate images, write a poem – just ask him well”, ” He said. “And what is really really incredible is the way you program an AI is like the way you program a person.”
With emerging conversational AI chatbots, users can now interact easily and naturally with computers, as they wish. Several chatbots and AI tools allow programming via natural language, allowing users to code, debug or generate scripts without in -depth knowledge of programming languages.
Here are some notable examples:
Chatgpt (Openai)
Users can ask Chatgpt to write code in languages like Python, JavaScript or C ++, to debug errors or explain code extracts. For example, they can invite him to “write a Python script to sort a list” or “correct this JavaScript Buggy function”. He supports a conversational approach, refining the code based on monitoring requests.
Popular among developers and non-codeurs, OPENAI reporting 400 million weekly active users in February 2025. It is used by companies (3 million paid users) for tasks such as the automation of workflows or generation of scripts.
Grok 3 (XAI)
Grok, built by XAI, supports programming in natural language, allowing users to generate code, execute simple scripts or troubleshooting errors by describing tasks in simple English. For example, users could say: “Create a Python function to calculate the numbers of fibonacci”, and it will provide a work solution. It can also help view the basic graphics or execute code in a canvas panel.
Gemini (Google)
Gemini allows users to generate code, explain programming concepts or automate tasks via conversational prompts. It supports several languages and can manage complex requests such as “write a react component for a list of tasks”.
Integrated into Google’s ecosystem, it is used for personal and professional coding tasks, in close competition with Chatgpt.
Copilot (Microsoft)
Propelled by Openai technology, Copilot is suitable for developers, integrating directly into FDIs as Visual Studio Code. He suggests code supplements, generates functions and supports requests in natural language such as “Create a Rest API in Node.js.” This is particularly strong for helping coding in real time.
Claude (anthropic)
Offers a conversational coding support, focusing on safe and interpretable outings. It can generate and debug code, but is less widely discussed for programming compared to Chatgpt or Copilot.
These tools exploit the models of large languages (LLMS) formed on large sets of data, including code standards, allowing them to understand and generate code from human guests.
As Jensen Huang of Nvidia noted, this “human” programming language democratizes coding, allowing anyone from beginners to experts to create software by naturally describing tasks. He also praised AI’s ability to help workers do their job more effectively, encouraging them to adopt technology as they seek to make themselves precious to the workplace.
