"Don't LEARN to CODE, learn this INSTEAD..." NVIDIA CEO Jensen Huang REVEALS

Summary

In this thought-provoking video, Jensen Huang, CEO of Nvidia, challenges the conventional wisdom that kids should learn coding. Instead, he emphasizes that the future of education lies in mastering 'prompting'—the art of using human language to guide AI. Huang explains how AI technology is now accessible to everyone, but to truly excel, individuals must understand core sciences like biology, chemistry, and math to create meaningful prompts. He envisions a future where life sciences and engineering converge, urging us to prepare for a world where AI is guided by clear, domain-specific knowledge. This shift will shape the next generation of breakthroughs and innovations.

Takeaways

• 😀 The future of learning and skills is evolving beyond just computer science and coding, with a focus on prompting AI using human language.
• 😀 Jensen Huang, CEO of Nvidia, believes that AI's accessibility has closed the technology divide, enabling everyone to engage with AI regardless of technical expertise.
• 😀 In the past, learning to code was considered essential; today, mastering AI prompting is a vital skill for future success.
• 😀 Mastering science subjects such as biology, chemistry, and math is key to understanding the world and effectively communicating with AI.
• 😀 The real future of learning is in blending knowledge and imagination, with AI prompting requiring both a solid understanding of complex subjects and creative thinking.
• 😀 The ability to prompt AI effectively will differentiate those who thrive in the AI era from those left behind, much like coding once did.
• 😀 Life sciences will shift from being purely about scientific discovery to becoming a field of engineering, driven by AI and technology.
• 😀 Jensen Huang emphasizes that the future of life sciences, such as drug discovery, will be engineered in a way similar to how we design infrastructure today.
• 😀 As AI evolves, it still has flaws like hallucination and misinterpretation, making domain expertise crucial to correct AI when it goes wrong.
• 😀 The next decade will focus on engineering breakthroughs rather than simply discovering them, requiring expertise in various domains combined with AI.
• 😀 The shift towards AI and engineering in life sciences and other fields will reshape industries, education, and how we approach global challenges.

Q & A

What is Jensen Huang's key message about the skills kids should learn in the future?

Jensen Huang, the CEO of Nvidia, emphasizes that the future demands skills beyond just computer science and programming. Instead of focusing solely on coding, he suggests that the ability to effectively prompt AI using human language will be a vital skill for future generations.

Why does Jensen believe that prompting AI is more important than learning to code?

Jensen believes that the technology divide has been closed, meaning that AI can now be accessed and engaged by everyone. He argues that prompting, using human language to guide AI, will be a necessary skill because it makes technology more accessible and empowers everyone to be a technologist.

What is meant by the 'miracle' of artificial intelligence according to Jensen Huang?

The 'miracle' of artificial intelligence refers to the fact that AI has now become accessible to everyone, closing the technology divide. This means that anyone can engage with AI, and people no longer need to be engineers or researchers to interact with and guide AI systems.

How does the process of AI prompting work in practical terms?

AI prompting begins with a user’s input, which is then pre-processed by an AI copilot. The copilot improves the prompt using an approach called 'grounding,' which involves retrieving relevant business content from a database. The prompt is then sent to an AI language model (LLM) for processing, followed by post-processing that includes compliance checks and command generation.

Why are science, biology, chemistry, and math considered important for mastering AI prompting?

These subjects provide essential knowledge for thinking clearly, asking the right questions, and crafting instructions that AI can understand. This deep understanding of the natural world is crucial for effectively guiding AI in solving complex problems.

What does Jensen mean by 'life sciences' becoming more like 'engineering' in the future?

Jensen predicts that life sciences will evolve from being a field of discovery to a field of engineering, where professionals design biological systems, such as medicines and ecosystems, in a manner similar to how engineers design bridges and other infrastructures.

What is the significance of 'digital biology' according to Jensen Huang?

Jensen highlights that digital biology will be a field of engineering rather than traditional scientific discovery. This transformation will allow professionals to design biological solutions with precision, aiming for more energy-efficient, sustainable, and impactful innovations.

How does Jensen suggest we should approach the challenges posed by AI’s imperfections?

Jensen warns that AI, while powerful, is still flawed and can misinterpret or hallucinate. He emphasizes the need for deep domain expertise to not only use AI effectively but also to correct it when it goes wrong. This expertise will be key to ensuring that AI remains reliable and impactful.

Why does Jensen consider the understanding of biology to be crucial for future innovation?

Jensen believes that the understanding of human biology is one of the most complex and impactful fields. He stresses that knowledge of biology will be necessary to engineer solutions that address global challenges and advance technological innovations, particularly in health and life sciences.

What does Jensen believe will set people apart in the AI-driven future?

In the AI age, those who can effectively prompt AI, combining domain expertise and creativity, will thrive. Jensen suggests that this skill will be as important as coding was in the past, and that mastering how to interact with AI will be key to success in the coming decades.