OpenAI is a research organization dedicated to advancing artificial intelligence in a safe and beneficial way. Founded in 2015, OpenAI has made significant contributions to the field of AI research and development, including the development of the GPT-3 language model. Here is a bibliography of some of the most important works on OpenAI and its mission:
- OpenAI: A research organization working to ensure that artificial intelligence develops in a way that is safe and beneficial for humanity” by OpenAI (2021). This online article provides an overview of OpenAI’s mission and values, including their commitment to developing AI in a responsible and ethical manner. The article also includes information on OpenAI’s research focus areas and recent projects.
- Artificial Intelligence and Life in 2030 edited by Peter Stone and Rodney Brooks (2015). This book, published by Stanford University, includes a chapter on the future of AI research and development, written by OpenAI co-founders Greg Brockman and Sam Altman. The chapter explores the potential benefits and risks of AI and discusses the need for continued research and development in this field.
- Language Models are Few-Shot Learners by Tom B. Brown, Benjamin Mann, Nick Ryder, et al. (2020). This paper, published in the journal NeurIPS, describes the development of the GPT-3 language model, which was created by OpenAI. The paper details the technical aspects of the model’s architecture and training process and discusses the implications of this technology for natural language processing.
- AI and Compute” by OpenAI (2018). This online article discusses the relationship between the computational power required for AI research and the progress of AI development. The article includes an analysis of historical trends in AI computational power and makes predictions about future progress in this area.
- The Alignment Problem: Machine Learning and Human Values” by Brian Christian (2020). This book, written by a former OpenAI researcher, explores the ethical implications of AI development and the challenge of aligning AI systems with human values. The book includes case studies and examples of AI systems that have caused unintended harm and discusses potential solutions to these challenges.
- Building Safe AI Systems: A Framework for Trustworthy AI” by OpenAI (2020). This online article provides an overview of OpenAI’s approach to building safe and trustworthy AI systems. The article discusses the importance of transparency, robustness, and alignment in AI development and includes examples of how these principles are applied in practice.
- OpenAI Codex: AI for Writing Code” by OpenAI (2021). This online article describes the development of OpenAI Codex, a new language model that can be used to generate code in multiple programming languages. The article discusses the potential benefits and risks of this technology and explores its implications for software development and programming education.
These works provide a diverse range of perspectives on OpenAI’s mission, research focus areas, and recent projects. Whether you are an AI researcher, a developer, or simply interested in the future of AI technology, these resources offer valuable insights into the world of OpenAI.
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- April 16, 2023