Wand AI转发了
We’d like to introduce a new concept coined by AI thought leader Rotem Alaluf: Collaborative Artificial General Intelligence, or CAGI. We believe that as a society, we should advocate for CAGI systems instead of traditional AGI systems. The race to develop a single system that approaches human-level capacity, capable of performing a broad range of tasks and continuously improving its capabilities, is ongoing. It is estimated that achieving this milestone will take over 10 years. CAGI can be defined as the collaboration of hundreds, thousands, or even hundreds of thousands of independent AI agents, each with specific expertise and different personas and perspectives. By collaborating, these agents can collectively reach AGI levels. (Each agent can use internal collaboration techniques, such as a mixture of experts or composition of experts, to create a better “memory structure.”) Key points: 1?? From a usability perspective, reaching CAGI is practically the same as reaching AGI. We can always encapsulate a complex system with numerous components into a black box and call it a single system. 2?? CAGI can be achieved much faster than AGI, likely within the next few years. 3?? CAGI will always be computationally more favorable and environmentally more sustainable than AGI. 4?? Deploying guardrails on CAGI systems is significantly easier than on AGI systems, providing more explainable monitoring capabilities for human observers. Even for CAGI, new fundamental technologies for each agent beyond LLMs need to be developed. Rotem Alaluf's post highlighted a new technology at Wand Labs, known as "Cognitive Language Models" (CLMs) to ignite each agent. These models boast advanced reasoning and planning capabilities, demonstrate sub-exponential divergence over time, feature intrinsic hallucination control, and support dynamic personality development. Such innovations are pivotal in advancing towards genuine artificial intelligence. Credit: Rotem Alaluf #AI #FutureofAI #ML