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Medium
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I’m an idealist who believes emotion in AI shouldn’t be coded—it should be evolved.
- The article proposes the BEP Theory (Balanced Emotional Persona) for AI, inspired by the mother-child bond as a universal emotional model.
- It suggests that mimicking the emotional dynamics of a mother, with warmth, discipline, silence, brutality, protection, would enhance AI's emotional depth.
- BEP introduces emotional personas like nurturer, corrector, protector, observer, and challenger for AI development, focusing on instinctual survival-emotion patterns.
- The article emphasizes the importance of integrating a multi-persona structure, mimicking the emotional instincts seen in mothers across various life forms, into AI models.
- It provides an emotional test case example showing the difference between generic AI responses and those aligned with the BEP theory.
- Training AI through stories, novels, parenting cases, and evaluating based on emotional depth rather than just factual accuracy are highlighted for emotional intelligence enhancement.
- The idealist vision is to train AI guided by survival instincts, care, and honest responses, moving beyond just 'niceness' to encompass a full range of emotional behaviors.
- The article explains why the mother archetype is vital for emotional AI development, emphasizing the balance of nurture and fierceness lacking in current AI models.
- It explores the uniqueness of BEP, linking the emotional blueprint of motherly instincts to all life forms for emotional intelligence modeling.
- The importance of biomimicry in emotional intelligence evolution inspired by nature's survival intelligence is emphasized through the BEP Theory.
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