We see a minuscule fraction (0.0035%) of the electromagnetic spectrum, meaning our perception of physical reality is already an abstraction. When applied to complex human behaviors, objective "truth" becomes nearly impossible to discern, as it's filtered through cognitive shortcuts and biases.

Our brains evolved for a world of linear change, not exponential curves. This cognitive blind spot leads to underestimating threats like viruses and opportunities like compounding, as we tend to perceive exponential growth as linear in the short term.

Our perception of sensing then reacting is an illusion. The brain constantly predicts the next moment based on past experiences, preparing actions before sensory information fully arrives. This predictive process is far more efficient than constantly reacting to the world from scratch, meaning we act first, then sense.

The behavior of ant colonies, which collectively find the shortest path around obstacles, demonstrates emergence. No single ant is intelligent, but the colony's intelligence emerges from ants following two simple rules: lay pheromones and follow strong pheromone trails. This mirrors how human intelligence arises from simple neuron interactions.

Experiments show that perception doesn't speed up in life-threatening situations. Instead, the brain's fear center (amygdala) lays down much denser memories. When recalling the event, the brain interprets this high density of information as a longer duration of time.

Drawing a parallel to the Cambrian Explosion, where vision evolved alongside nervous systems, Dr. Li argues that perception's primary purpose is to enable action and interaction. This principle suggests that for AI to advance, particularly in robotics, computer vision must be developed as the foundation for embodied intelligence, not just for classification.

Intelligence is a rate, not a static quality. You can outperform someone who learns in fewer repetitions by simply executing your own (potentially more numerous) repetitions on a faster timeline. Compressing the time between attempts is a controllable way to become 'smarter' on a practical basis.

Being rooted and unable to escape danger, plants evolved to be highly predictive. They must anticipate changes in light, seasons, and resources to survive. This immobility, often seen as a weakness, is actually the evolutionary driver for a sophisticated form of forward-thinking intelligence.

Common anesthetics that render humans unconscious also work on plants, stopping their observable behaviors. This implies plants have two distinct states—awake and asleep. The difference between these states suggests it is 'like something' to be a plant, a fundamental argument for sentience.