Nvidia CEO Jensen Huang

Why Nvidia’s CEO Wants You to leave Coding?

Huang suggests that you should focus on upskilling yourself in domains that are relevant to your interests or passions
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Introduction

Coding is often seen as a vital skill for anyone who wants to enter the tech industry or create innovative solutions. However, according to Nvidia’s CEO Jensen Huang, coding may soon become obsolete thanks to the rapid advancements of artificial intelligence (AI).

In a recent speech at the Word Government Summit in Dubai, Huang argued that AI has made the need to learn programming languages redundant, and humans should instead focus on more important skills such as biology, education, manufacturing, or farming.

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AI Can Do the Coding for You

Huang’s main point is that AI can now generate code based on natural language inputs, eliminating the need for humans to learn complex syntax and logic. He cited examples of tools like OpenAI’s ChatGPT and Google’s Gemini, which can create code from simple commands or queries.

“It is our job to create computing technology such that nobody has to program. And that the programming language is human, everybody in the world is now a programmer. This is the miracle of artificial intelligence,” Huang said.

Huang believes that this will democratize the access to technology and innovation, as anyone can use AI to create applications or solutions without having to spend hours or years learning how to code.

What Skills Should You Learn Instead?

If coding is no longer a priority, what skills should you learn instead?

Huang suggests that you should focus on upskilling yourself in domains that are relevant to your interests or passions, such as biology, education, manufacturing, or farming.

He argues that these fields are more important for the future of humanity and the planet, and that AI can help you achieve your goals in these areas. For example, AI can help you analyze data, optimize processes, diagnose problems, or generate insights.

“You now have a computer that will do what you tell it to do. It is vital that we upskill everyone, and the upskilling process will be delightful and surprising” Huang said.

Huang also claims that natural language processing will advance to the point where the only language needed to code will be your native language, making it easier for anyone to communicate with AI and use it for their purposes.

Is Coding Really Dead?

Some experts, such as John Carmack, the co-founder of id Software, agree with Huang that coding is not the source of value, and that problem-solving is the core skill. However, they also acknowledge that coding still requires some discipline and precision, and that AI may not be able to handle all scenarios or tasks.

“Coding was never the source of value, and people shouldn’t get overly attached to it. Problem solving is the core skill. The discipline and precision demanded by traditional programming will remain valuable transferable attributes, but they won’t be a barrier to entry” Carmack wrote on X, formerly Twitter.

Others, such as Tim O’Reilly, the founder of O’Reilly Media, warn that relying too much on AI may lead to a loss of human agency and creativity, and that we should not forget the importance of human judgment and values.

“I worry that we are building a world where we are outsourcing our thinking to machines, and losing the ability to shape our own destiny. AI is a powerful tool, but it is not a substitute for human intelligence, wisdom, and ethics” O’Reilly said in a TED talk.

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Why Might Someone Speak Against Coding (Despite AI’s Success)?

Coding is not the only skill that matters for AI development and innovation. In fact, some people might argue that coding is becoming less relevant as AI becomes more advanced and accessible.

Here are some possible reasons Huang might speak against coding, despite AI’s success:

-Accessibility Focus: The goal might be to democratize AI development with low-code or no-code tools, such as Nvidia’s ChatGPT or Google’s Gemini, which can generate code from natural language inputs. This way, anyone can use AI to create applications or solutions, without having to learn complex syntax and logic.

-Over-Emphasis Concern: Some people might feel intimidated or excluded by the technical jargon or the steep learning curve of coding. The AI community might not value or appreciate talents or passions in other domains, such as biology, education, manufacturing, or farming.

-Shifting Priorities: Some people might argue that coding is not the source of value, and that problem-solving is the core skill. Others might argue that coding is not a substitute for human intelligence, wisdom, and ethics, and that we should not outsource our thinking to machines.

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Conclusion

AI is undoubtedly changing the future of coding, and perhaps making it less relevant or necessary for many people. However, this does not mean that coding is dead, or that we should abandon it altogether. Coding still has some benefits and challenges, and it may still be useful or enjoyable for some purposes or contexts.

Ultimately, the choice of whether to learn coding or not depends on your personal preferences and objectives. If you are interested in coding, you can still pursue it as a hobby or a career, and you may find some ways to collaborate or compete with AI. If you are not interested in coding, you can focus on other skills that are more relevant or meaningful to you, and you may find some ways to leverage or influence AI.

Whatever you decide, remember that the most important skill is not coding, but problem-solving. And the most important asset is not AI, but you.

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