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cover of episode Artificial General Intelligence Explained: When Will AI Be Smarter Than Us? | Behind the Numbers

Artificial General Intelligence Explained: When Will AI Be Smarter Than Us? | Behind the Numbers

2025/6/30
logo of podcast Behind the Numbers: an EMARKETER Podcast

Behind the Numbers: an EMARKETER Podcast
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Marcus Johnson: 人工通用智能（AGI）是一个在2007年出现的术语，指的是具备一定程度的自我理解和自主控制能力，能够解决各种复杂问题，并学习解决创建时未知的新问题的人工智能系统。目前对AGI的定义仍然模糊，没有达成共识，且不同机构和个人对AGI的理解存在差异。AGI的关键在于其泛化能力，能够将知识和技能从一个领域转移到另一个领域，从而有效地适应新的和未见过的情况。此外，AGI还应具备认知能力，包括推理、问题解决、感知、学习、语言理解、导航、社交和情感参与等。 Jacob Bourne: 我认为AGI是一种在智力和能力上与大多数人类相当的人工智能模型。AGI的关键在于“通用”二字，因为人类智能擅长处理各种不同的事情，而人工智能通常只擅长非常狭窄的领域。AGI旨在构建一种真正擅长各种事物的人工智能模型，就像人类一样。将AGI简化为经济驱动因素有点贬低了它，因为人类智能的范围远远超出了我们在工作中完成的任务。我们必须认识到，告诉我们AGI是什么或不是什么的人是经营公司的人，他们都在相互竞争。 Gadjo Sevilla: 我认为AGI不仅需要对各种主题有狭隘的理解，还需要具备自主性。AGI是一个不断学习、能够做出决策、理解主题之间细微差别的实时算法。很难确定AGI的阈值，因此Anthropic的CEO Dario Amadei更喜欢用“强大的AI”这个术语来代替AGI。AGI已经成为一个营销术语，因为它没有被精确地定义。我不期望达成共识，也不期望有人会说“这就是AGI，我们已经实现了它”。

Deep Dive

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On today’s podcast episode, we discuss the various definitions of artificial general intelligence (AGI) and try to come up with the best one we can. Then we look at how smart humans are compared to current AI models. Join Senior Director of Podcasts and host Marcus Johnson, and Analysts Jacob Bourne and Gadjo Sevilla. Listen everywhere and watch on YouTube and Spotify.

 

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https://www.emarketer.com/content/podcast-btn-artificial-general-intelligence-explained-will-ai-smarter-than-us)

 

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