Eric Drexler revisits his 2019 report, «Reframing Superintelligence,» in light of recent advances in Large Language Models (LLMs). He argues that his original model of AI development, which emphasizes AI services over unitary agents, remains relevant. The report advocates for expanding the ontology of superintelligence to include compositions of AI systems, highlighting the importance of structure, relationships, and services. Drexler suggests that focusing on AI services offers a safer and more manageable approach to AI development compared to pursuing superintelligent agents and considers the risks and benefits of LLMs in this context.
What is the main idea of «Reframing Superintelligence»?
Expanding the ontology of superintelligence; includes AI services; considers AI development processes.
This perspective gives rise to the Comprehensive AI Services (CAIS) model, proposing general intelligence as a property of flexible systems of services.
What is the Comprehensive AI Services (CAIS) model?
General intelligence as flexible services; task-focused agents; expands toward superintelligent performance.
What is a key difference between AI services and AI agents?
AI services are task-focused; AI agents are unitary; AI services offer safer development.
Artículo Original: https://www.alignmentforum.org/posts/LxNwBNxXktvzAko65/reframing-superintelligence-llms-4-years
Advices:
- Focus on developing AI services rather than unitary AI agents to mitigate risks and improve manageability.
- Prioritize research into AI R&D automation to safely expand AI functionality and investigate safety-relevant affordances.
- Explore structured AI systems and modular deep learning to connect AI safety studies with current R&D practices.
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