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#AI must achieve this before becoming AGI: General Intelligence

AI Won't Be AGI, Until It Can At Least Do This

The content discusses the current landscape of artificial intelligence (AI) and highlights the challenges and advancements in the field. It mentions various issues with AI, such as dodgy marketing, privacy violations, and bad demos, but also emphasizes the importance of not disregarding the potential of AI technologies. The content covers over a dozen papers and real-life deployments of Large Language Models (LLMs) and Convolutional Neural Networks (CNNs) that are working towards achieving Artificial General Intelligence (AGI). It also discusses six key approaches being developed to move LLMs closer to AGI.

Additionally, the content includes links to various resources and articles related to AI, such as an interview with Apple CEO Tim Cook, AI slop generation tools, and advancements in medical studies using AI. It also mentions projects like ending animal testing using Generative Adversarial Networks (GANs) and the development of AI systems for geometry.

The content provides links to further information on AI topics, including research papers, interviews, and newsletters. It also offers consulting services for businesses looking to build AI applications. Overall, the content aims to inform the audience about the current state of AI technology and the potential it holds for future advancements.

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Source link: https://www.youtube.com/watch?v=PeSNEXKxarU

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