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Genus Kenyapithecus: EI Emerges

By Michael Alan Prestwood

Fri 3 May 2024
Published 2 years ago.
Updated 1 week ago.
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Imagined image: kenyapithecus.

Genus Kenyapithecus: EI Emerges

Lived 16 to 14 Million Years Ago
Prefrontal–limbic integration, Reading others, Modulating reaction

The last common ancestor with humans and orangatans lived around 16 mya.

Great Apes LCA candidate: Kenyapithecus is an extinct genus of great ape that lived in Kenya from around 16 to 14 million years ago. It is considered a potential candidate for the last common ancestor of all great apes, including humans, chimpanzees, gorillas, and orangutans. Kenyapithecus had a mix of primitive and advanced features, with a brain size slightly larger than that of modern chimpanzees and a more human-like dental structure. Its face was likely more flat and human-like than modern great apes, and it may have had a more upright posture. While its exact relationship to modern great apes is still debated, Kenyapithecus provides important insights into the evolution of the great ape lineage.

Complex EI Emerges: Orangutans fall into the Complex EI category. They exhibit a broad spectrum of emotionally intelligent behaviors, including empathy, where they show concern for the welfare of others; the use of emotional cues to communicate and navigate complex social landscapes; self-control and mood management; and problem-solving that incorporates emotional states. Their ability to engage in morally influenced behaviors, such as sharing based on social bonds or altering their behavior to maintain social harmony, underscores their capacity for complex emotional intelligence. Orangutans’ nuanced social interactions, care for their young, and responses to environmental and social challenges demonstrate a sophisticated understanding and management of emotions that align with the hallmarks of complex EI.

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Michael Alan Prestwood
Author & Natural Philosopher
Prestwood writes on science-first philosophy, with particular attention to the convergence of disciplines. Drawing on his TST Framework, his work emphasizes rational inquiry grounded in empirical observation while engaging questions at the edges of established knowledge. With TouchstoneTruth positioned as a living touchstone, this work aims to contribute reliable, evolving analysis in an emerging AI era where the credibility of information is increasingly contested.
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