Primatologist Richard Rangham's theory posits that early hominins used fire for cooking. This made food more energy-efficient to digest, freeing up metabolic resources that enabled the evolution of our larger brains. We didn't just get smart and then cook; we cooked, and that's how we got smart.

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As we age, the timing of calorie consumption becomes more critical than the quantity. One calorie consumed after 6 PM can have the metabolic impact of ten calories consumed before noon due to its effect on insulin production during sleep. This highlights the importance of front-loading caloric intake.

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 common analogy of AI to electricity is dangerously rosy. AI is more like fire: a transformative tool that, if mismanaged or weaponized, can spread uncontrollably with devastating consequences. This mental model better prepares us for AI's inherent risks and accelerating power.

Our brains evolved a highly sensitive system to detect human-like minds, crucial for social cooperation and survival. This system often produces 'false positives,' causing us to humanize pets or robots. This isn't a bug but a feature, ensuring we never miss an actual human encounter, a trade-off vital to our species' success.

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.

Humans branched off from gorillas evolutionarily and now, due to superior intelligence, control their fate entirely. This analogy illustrates that intelligence is the single most important factor for controlling the planet. Creating something more intelligent than us puts humanity in the precarious position of the gorillas, risking our own extinction.

Scientific literature suggests humans have between 22 and 33+ physiological senses, including balance, proprioception, and awareness of internal states like bladder fullness. This reframes human potential, suggesting we are capable of perceiving far more than we commonly acknowledge.

Frances Arnold, an engineer by training, reframed biological evolution as a powerful optimization algorithm. Instead of a purely biological concept, she saw it as a process for iterative design that could be harnessed in the lab to build new enzymes far more effectively than traditional methods.

The Fetus GPT experiment reveals that while its model struggles with just 15MB of text, a human child learns language and complex concepts from a similarly small dataset. This highlights the incredible data and energy efficiency of the human brain compared to large language models.

Cooking, Not Just Taming Fire, Unlocked the Energy for Hominin Brain Growth | RiffOn