At London Tech Week, Nvidia CEO Jensen Huang made a striking statement: “The way you program an AI is like the way you program a person.” (Do we really program people or do we teach)?
This marks a fundamental shift in how we interact with artificial intelligence, moving away from traditional coding languages and towards natural human communication.
Historically, programming required specialised knowledge of languages like C++ or Python. Developers had to meticulously craft instructions for computers to follow.
Huang argues that AI has now evolved to understand and respond to human language, making programming more intuitive and accessible.
This transformation is largely driven by advancements in conversational AI models, such as ChatGPT, Gemini, and Copilot.
These systems allow users to issue commands in plain English – whether asking an AI to generate images, write a poem, or even create software code. Instead of writing complex algorithms, users can simply ask nicely, much like instructing a colleague or student.
Huang’s analogy extends beyond convenience. Just as people learn through feedback and iteration, AI models refine their responses based on user input.
If an AI-generated poem isn’t quite right, users can prompt it to improve, and it will think and adjust accordingly.
This iterative process mirrors human learning, where guidance and refinement lead to better outcomes.
The implications of this shift are profound. AI is no longer just a tool for experts – it is a great equalizer, enabling anyone to harness computing power without technical expertise.
As businesses integrate AI into their workflows, employees will need to adapt, treating AI as a collaborative partner rather than a mere machine.
This evolution in AI programming is not just about efficiency; it represents a new era where technology aligns more closely with human thought and interaction.