Abstract Over the past decade, AI technologies have advanced by leaps and bounds. Progress has been so fast, voluminous, and varied that it can be a challenge even for experts to make sense of it all. In this essay, I propose a framework for thinking about AI systems, specifically the idea that they are ultimately tools developed by humans to help other humans perform an increasing breadth of their cognitive work. Our AI systems for assisting us with our cognitive work have become more capable and general over the past few years. This is in part due to a confluence of novel AI algorithms and the availability of massive amounts of data and compute. From this, researchers and engineers have been able to construct large, general models that serve as flexible and powerful building blocks that can be composed with other software to drive breakthroughs in the natural and physical sciences, to solve hard optimization and strategy problems, to perform perception tasks, and even to assist with complex cognitive tasks like coding.

中文翻译：

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我不认为它意味着你认为它意味着什么：人工智能、认知工作和规模

摘要 在过去的十年中，人工智能技术突飞猛进。进展如此之快、浩瀚且多变，即使是专家也很难理解这一切。在这篇文章中，我提出了一个思考人工智能系统的框架，特别是认为它们最终是人类开发的工具，可以帮助其他人进行越来越广泛的认知工作。在过去的几年里，我们用于协助我们进行认知工作的人工智能系统变得更加强大和通用。这部分是由于新的人工智能算法和大量数据和计算的可用性的融合。由此，研究人员和工程师已经能够构建大型、