Choose Your Weapon: Survival Strategies for Depressed AI Academics

Julian Togelius, Georgios N. Yannakakis
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Abstract

Are you an AI researcher at an academic institution? Are you anxious you are not coping with the current pace of AI advancements? Do you feel you have no (or very limited) access to the computational and human resources required for an AI research breakthrough? You are not alone; we feel the same way. A growing number of AI academics can no longer find the means and resources to compete at a global scale. This is a somewhat recent phenomenon, but an accelerating one, with private actors investing enormous compute resources into cutting edge AI research. Here, we discuss what you can do to stay competitive while remaining an academic. We also briefly discuss what universities and the private sector could do improve the situation, if they are so inclined. This is not an exhaustive list of strategies, and you may not agree with all of them, but it serves to start a discussion.
选择你的武器:抑郁AI学者的生存策略
你是学术机构的人工智能研究员吗?你是否担心自己无法应对当前人工智能的发展速度?你是否觉得你没有(或非常有限)获得人工智能研究突破所需的计算和人力资源?你并不孤单;我们也有同感。越来越多的人工智能学者再也找不到在全球范围内竞争的手段和资源。这是一个最近才出现的现象,但正在加速发展,私营企业将大量的计算资源投入到尖端的ai研究中。在这里,我们将讨论如何在保持学术地位的同时保持竞争力。我们还简要讨论了大学和私营部门可以做些什么来改善这种情况,如果他们有这种倾向的话。这不是一个详尽的策略列表,你可能不同意所有的策略,但它有助于开始讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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