Jensen Huang: The Key to Using AI Is Your Judgment, Not Prompts
NVIDIA CEO Jensen Huang said in a recent interview that what sets people apart is not writing longer prompts, but using AI with your own cognition rather than letting AI think for you. He believes AI cannot replace your definition of the endgame; before asking questions, you should first clarify the skeleton of the business logic, the pitfalls to avoid, and the acceptance criteria, then treat AI as a pathfinding engineer to exhaustively map out blind spots. He also cautioned that NVIDIA has its own position in selling computing power, but for creators and engineers, the most valuable ability in the future is breaking down real problems.
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In a recent interview, Nvidia CEO Jensen Huang punctured the fundamental misunderstanding many people have when using AI with a single sentence.
Huang said what truly creates the gap is not whose prompt is longer, but whether you are letting AI think for you, or bringing your own cognition to bear so that it can pry open the boundaries of the unknown.
Many people, when using AI, are in the habit of tossing a blank task straight into the dialog box, expecting the large model to hand them a stunning solution from scratch.
This way of using it is like handing a blank exam paper to an intern: you haven't even figured out what you want, so all the AI can spit out is a pile of bland, correct nonsense.
The essence of what Huang pointed out is that AI can never replace your definition of the endgame.
When a true expert asks a question, before typing the first line they have already thought through the skeleton of the business logic, the pitfalls to avoid, and the acceptance criteria, and then treats AI as a tireless pathfinding engineer to help brute-force enumerate the blind spots where your own compute and time fall short.
AI is the engine of a supercar; your judgment is the steering wheel.
If you yourself have no clear destination, flooring the accelerator just means furiously burning rubber in place.
To be clear-headed about it, Huang naturally has Nvidia's position as a seller of compute behind these words—he'd love nothing more than for everyone to keep their GPUs maxed out every second—but for ordinary creators and engineers, this reminder is extremely important.
Going forward, the most valuable competitive edge will no longer be how many prompt templates you've memorized, but how sharply you can break down a real problem.
Tools are responsible for expanding your radius of execution; your ability to define things determines where the center of that circle lies. https://t.co/17KGH01Kz9