Human Being in the Age of Intelligent Machines

Research Paper | Published 29/9/2025 | Author: Ibrahim Said El-Sharawy [DevHima]

This research explores humanity's existential questions in an era where intelligent machines challenge our understanding of consciousness, identity, and survival itself.

The paper examines three evolutionary stages: Life 1.0 (fixed biology), Life 2.0 (updatable software - humans), and Life 3.0 (updatable software and hardware - superintelligent AI). It explores whether we're living in a simulation and how human-machine integration through cyborgs or mind uploading will redefine what it means to be human.

Core Focus: The Alignment Problem - ensuring superintelligent AI systems maintain human values through techniques like Reinforcement Learning from Human Feedback (RLHF) and Inverse Reinforcement Learning (IRL).

Drawing from Nick Bostrom's Orthogonality Thesis and Instrumental Convergence, the paper reveals how even well-intentioned AI could pose existential risks. It bridges philosophy, narrative storytelling, and technical algorithms to address humanity's greatest challenge: preserving our values as we merge with intelligent machines.

Interested in exploring these ideas further?

Note: The linked paper is an AI-enhanced version generated from the original research using artificial intelligence technologies.

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