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Is Expressiveness the Future of Software?

Published: 01 January 2022 Publication History

Abstract

We explore what potentially may happen to software by 2033, taking views from across the industry. Our central premise is that, by increasing problem-domain expressiveness, more real-world experiences can be captured and converted into digital simulators, which can form shareable models of knowledge.

References

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D. Zhanget al., “The AI index 2021 annual report,”AI Index Steering Committee, Human-Centered AI Inst., Stanford Univ., Stanford, CA, USA, Mar.2021.
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P. He, “Microsoft DeBERTa surpasses human performance on the SuperGlue benchmark,”Microsoft, Redmond. Accessed: Nov.18, 2021. [Online]. Available: https://www.microsoft.com/en-us/research/blog/ microsoft-deberta-surpasses-human-performance-on-the-superglue-benchmark
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The Global Risks Report,”World Economic Forum, 16th ed. insight report, 2021. Accessed: Nov.18, 2021. [Online]. Available: https://www.weforum.org/reports/the-global-risks-report-2021
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Generative Pre-trained Transformer 3 (GPT-3) an autoregressive language model,”Open AI. Accessed: Nov.18, 2021. [Online]. Available: https://openai.com/blog/openai-api/

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          IEEE Computer Society Press

          Washington, DC, United States

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          Published: 01 January 2022

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