The discourse often presents a binary: AI plateaus below human level or undergoes a runaway singularity. A plausible but overlooked alternative is a "superhuman plateau," where AI is vastly superior to humans but still constrained by physical limits, transforming society without becoming omnipotent.

The fear of 'superhuman' AI is based on a flawed premise. Our definition of measurable intelligence—tallying numbers, memorizing lists—was created for the industrial workforce. AI is simply automating these now-outdated tasks, suggesting we need to recalibrate our measurement of human intelligence itself.

AI intelligence shouldn't be measured with a single metric like IQ. AIs exhibit "jagged intelligence," being superhuman in specific domains (e.g., mastering 200 languages) while simultaneously lacking basic capabilities like long-term planning, making them fundamentally unlike human minds.

While LLMs dominate headlines, Dr. Fei-Fei Li argues that "spatial intelligence"—the ability to understand and interact with the 3D world—is the critical, underappreciated next step for AI. This capability is the linchpin for unlocking meaningful advances in robotics, design, and manufacturing.

Framing AGI as reaching human-level intelligence is a limiting concept. Unconstrained by biology, AI will rapidly surpass the best human experts in every field. The focus should be on harnessing this superhuman capability, not just achieving parity.

Language is just one 'keyhole' into intelligence. True artificial general intelligence (AGI) requires 'world modeling'—a spatial intelligence that understands geometry, physics, and actions. This capability to represent and interact with the state of the world is the next critical phase of AI development beyond current language models.

Human intelligence is fundamentally shaped by tight constraints: limited lifespan, brain size, and slow communication. AI systems are free from these limits—they can train on millennia of data and scale compute as needed. This core difference ensures AI will evolve into a form of intelligence that is powerful but alien to our own.

Defining AGI as 'human-equivalent' is too limiting because human intelligence is capped by biology (e.g., an IQ of ~160). The truly transformative moment is when AI systems surpass these biological limits, providing access to problem-solving capabilities that are fundamentally greater than any human's.

Human intelligence is shaped by limitations like a finite lifespan and small brain, forcing efficient learning from sparse data. AI lacks these constraints, learning from lifetimes of data with massive compute. This fundamental difference means AI will naturally evolve into a distinct, non-human form of intelligence unless we explicitly engineer human-like biases into it.