Discover how artificial intelligence is evolving from specialised agents to global networks and what parallels there are with the brain and society.
What parallels are there at the first level of synchronisation?
Specialised AI agents – the basic building blocks
Each agent has specific tasks
Basic interactions and simple information exchange
Limited reach: focus on specific domains
Examples: GPT-3 (text), DALL-E (images), AlphaFold (protein folding)
What parallels are there at the second synchronisation stage?
Integrated AI systems – networking begins
- Functional integration: combination of different AI capabilities
- Multimodal processing: text, image, audio in one system
- Emergent skills: New competences through integration
Examples: GPT-4, Google’s PaLM, DeepMind’s Gato
What parallels are there at the third level of synchronisation?
Global AI networks – the vision of a superintelligence
- Cross-system communication: AI systems in dialogue
- Global optimisation: solving complex problems through collaboration
- Emergent intelligence: potential for higher-level forms of AI consciousness
Examples: Hypothetical AI networks, global problem-solving systems
What are the strengths and challenges of this comparison?
Strong points:
- Scalability to different levels of complexity
- Emergence of new properties through interaction
- High integration potential for AI systems
The challenges:
- Questions about AI consciousness and intentionality
- Ethical implications of highly integrated systems
- Control and governance of complex AI networks
What future prospects and research questions arise from this?
- Development of mechanisms for AI synchronisation control
- The role of humans in increasingly autonomous AI systems
- Ethical design of integrated AI networks
- Potential for global problem solving through AI synchronisation
What is the theoretical background?
- Artificial General Intelligence (AGI): Intermediate stage to superintelligence
- Technological singularity: extreme form of AI integration
- Swarm intelligence: model for AI synchronisation
What far-reaching implications does this analogy have?
The analogy of AI synchronisation to biological and social systems opens up new perspectives for AI development. It shows potential, but also raises critical questions about ethics and governance.