SUMMARY
Advanced artificial intelligence (AI) may achieve self-awareness but not consciousness with current architectures. Current computing systems lack the necessary components to support consciousness, which requires substantial information processing in a single state, potentially achievable through quantum mechanics (QM) superpositioning. The human brain's complexity presents significant challenges for reverse engineering, and until fully understood, replicating its functions in AI remains unattainable. Quantum computing, particularly topological quantum computers, may provide the computational power needed for real-time whole brain emulation, but this technology is still in its infancy.
PREREQUISITES
- Understanding of consciousness and self-awareness in AI contexts
- Familiarity with quantum mechanics and superpositioning
- Knowledge of artificial neural networks (ANNs) and their limitations
- Awareness of current computing architectures and their capabilities
NEXT STEPS
- Research quantum computing, focusing on topological quantum computers
- Explore the principles of quantum cognition and its implications for AI
- Study the architecture and functioning of artificial neural networks (ANNs)
- Investigate the latest advancements in neuroscience related to consciousness
USEFUL FOR
Researchers, AI developers, neuroscientists, and anyone interested in the intersection of artificial intelligence, consciousness, and quantum computing.