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 neural systems evolved for physical survival—managing pain, fear, and strategic threats—are the same ones activated during modern stressors like workplace arguments or relationship conflicts. The challenges have changed from starvation to spreadsheets, but the underlying brain hardware hasn't.

It is a profound mystery how evolution hardcodes abstract social desires (e.g., reputation) into our genome. Unlike simple sensory rewards, these require complex cognitive processing to even identify. Solving this could unlock powerful new methods for instilling robust, high-level values in AI systems.

The mind wanders 50% of the time not by accident, but as an evolutionary feature. This "spontaneous thought" acts like a replay function, repeatedly firing neural patterns from recent experiences to strengthen their connections and embed them as long-term memories.

Evolution by natural selection is not a theory of how consciousness arose from matter. Instead, it's a theory that explains *why our interface is the way it is*. Our perceptions were shaped by fitness payoffs to help us survive *within the simulation*, not to perceive truth outside of it. The theory is valid, but its domain is the interface.

Our fascination with danger isn't a flaw but a survival mechanism. Like animals that observe predators from a safe distance to learn their habits, humans consume stories about threats to understand and prepare for them. This 'morbid curiosity' is a safe way to gather crucial information about potential dangers without facing direct risk.

The brain doesn't strive for objective, verbatim recall. Instead, it constantly updates and modifies memories, infusing them with emotional context and takeaways. This process isn't a bug; its purpose is to create useful models to guide future decisions and ensure survival.

Vision, a product of 540 million years of evolution, is a highly complex process. However, because it's an innate, effortless ability for humans, we undervalue its difficulty compared to language, which requires conscious effort to learn. This bias impacts how we approach building AI systems.

Emotions act as a robust, evolutionarily-programmed value function guiding human decision-making. The absence of this function, as seen in brain damage cases, leads to a breakdown in practical agency. This suggests a similar mechanism may be crucial for creating effective and stable AI agents.