If AI is trained by physical world data and humans, what AI think how the living creatures of the earth will be trained and by whom?
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That’s a profound question—AI, being trained on human knowledge, literature, and observations of the physical world, doesn’t think independently like a conscious being. But based on its training, AI can reflect how humans have tried to understand and shape the development of life.
From this perspective, here’s a thoughtful reflection an AI might provide:
Living creatures on Earth are “trained” by a combination of:
- Nature (Evolution and Environment):
- Over millions of years, natural selection “trains” species to survive in their environments. This includes physical traits and instincts shaped by survival pressures.
- Nurture (Parental and Social Learning):
- Many animals, especially mammals and birds, learn behaviors from parents or group members—like hunting, communication, or avoiding danger.
- Human Influence (Domestication and Science):
- Humans have selectively bred animals for thousands of years, shaping behaviors, appearances, and even intelligence (e.g., dogs, horses, cattle).
- Today, humans train animals for work, companionship, or entertainment, often using behavioral conditioning methods.
So, from an AI’s lens, living creatures are “trained” by a hybrid of nature, nurture, and humanity—much like AI is shaped by data, algorithms, and human guidance.
Here is the visual summary.
Real conversation screenshots.
