The brain uses about 40 to 50% of its total capacity for vision, highlighting its importance in our daily functioning.

The eyes collect light information and send it to the brain in a form it can understand, using specialized cells called photoreceptors, which include rods and cones.

Visual spatial intelligence is as fundamental as language, and we have the right ingredients now, including advancements in compute and algorithms, to unlock its potential.

Humans are the most challenging aspect of computer graphics due to our evolved ability to detect patterns, faces, and emotions, which makes capturing realistic human representations difficult.

Quantum computers process information using individual photons, making them far more efficient than traditional computers, which use billions of photons per bit processed.

If we digitize the human brain and transmit it via laser, we could travel across the universe at the speed of light, experiencing different locations almost instantaneously.

In modern computer vision, there's a significant shift from geometry to machine learning, where algorithms learn to recognize and segment objects from vast amounts of image data.

The human brain operates on much lower power (30 watts) and has significantly more connections (about 100 trillion) compared to the largest AI models (about 1 trillion connections).

The design of our brains allows us to prioritize attention efficiently, which is crucial for navigating our environments and making decisions.