Fei-Fei Li
The dawn of modern artificial intelligence was not sparked by a better algorithm, but by an unprecedented, massive dataset of images that taught machines how to truly see and understand the physical world.
Progress in machine learning accelerated exponentially only when researchers realized that massive, labeled datasets are far more critical to computational perception than purely algorithmic cleverness.
The next frontier of artificial intelligence relies on spatial intelligence, requiring world models that can physically, geometrically, and dynamically interact with three-dimensional environments rather than just processing text.
Artificial intelligence must be designed with the explicit goal of augmenting human capabilities and dignity rather than serving as a mechanism to automate and replace human labor.