通用人工智能（AGI）的概念可能不会表现为一个单一的、包罗万象的思维，而是从众多专业智能体的集体能力中涌现出来。这些智能体可能拥有超越人类限制的多样化属性、处理能力和约束，可能包括超越人类感知的感官输入，或在活动内存中持有大量信息的能力。这种分布式智能模型表明，这些智能体的总能力可能超过任何单一的通用人工智能。 AI
影响 表明在关于AGI发展的思考方式上发生了转变，从单一的“思维”转向专业智能体的集合。
排序理由 该集群讨论了AGI潜在涌现的概念框架，借鉴了Google DeepMind的一篇文章，而不是宣布新的模型或研究突破。
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“ #Agents will potentially be far more diverse than #humans and operate with different capabilities and constraints. They might process a sensory input we lack, hold a thousand-page mathematical proof in their working memory, or converse simultaneously with many other agents.” #A…
“ #AGI may arrive not as a single general-purpose #mind , but rather through societies of #agents whose collective capacities exceed those of any one model” #AI institute.deepmind.com/essays/artif... Artificial symbiotic intellige...
“ #Agents will potentially be far more diverse than #humans and operate with different capabilities and constraints. They might process a sensory input we lack, hold a thousand-page mathematical proof in their working memory, or converse simultaneously with many other agents.” #A…
“ #AGI may arrive not as a single general-purpose #mind , but rather through societies of #agents whose collective capacities exceed those of any one model” #AI institute.deepmind.com/essays/artif... Artificial symbiotic intellige...