GlobalTechnoNews
- Introduction
Collaborative Artificial General Intelligence (CAGI), a new concept introduced by AI thought leader Rotem Alaluf, represents a significant advancement in artificial intelligence. As a society, we should advocate for CAGI systems instead of traditional AGI systems due to their numerous benefits.
The Race for AGI
Developing a singular system that approaches human-level capacities, capable of performing a wide range of tasks and continuously improving its abilities, is a current objective. Experts estimate that achieving this milestone will take more than 10 years.
What is Collaborative Artificial General Intelligence (CAGI)?
Collaborative Artificial General Intelligence (CAGI) involves the cooperation of hundreds, thousands, or even hundreds of thousands of independent AI agents, each with specific expertise and different perspectives. By collaborating, these agents can collectively achieve AGI levels. Each agent uses internal collaboration techniques, such as mixtures of experts or ensembles of experts, to create a better “memory structure.”
Key Points of CAGI
- Usability: Achieving CAGI is practically the same as achieving AGI. A complex system with numerous components can always be encapsulated into a black box and called a single system.
- Speed of Achievement: CAGI can be reached much faster than AGI, likely within the next few years.
- Computational Efficiency and Sustainability: CAGI will always be more computationally efficient and environmentally sustainable than AGI.
- Security and Monitoring: Setting up safeguards in CAGI systems is significantly easier than in AGI systems, providing explainable monitoring capabilities for human observers.
Technology Development for CAGI
To achieve CAGI, new fundamental technologies for each agent beyond LLMs need to be developed. Rotem Alaluf’s announcement highlighted a new technology at Wand Labs, known as “Cognitive Language Models” (CLM) for activating each agent. These models boast advanced reasoning and planning capabilities, show sub-exponential divergence over time, feature intrinsic hallucination control, and support dynamic personality development. Such innovations are key to advancing towards true artificial intelligence.
Conclusion
Collaborative Artificial General Intelligence (CAGI) represents a more practical and sustainable path to creating systems similar to AGI. Faster achievement, computational efficiency, and easier implementation of security measures make CAGI an attractive solution for the future of AI technology. Innovations like Cognitive Language Models (CLM) are crucial for progressing towards this vision.
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