Keen bosses, strange mistakes and a looming threat: workers on training AI to do their jobs

· · 来源:tutorial资讯

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Author(s): Xiongwei He, Fan-Shun Meng, Yanjing Su, Lijie Qiao, Shigenobu Ogata, Lei Gao

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The earliest incarnation of this project was built as a way of running Haskell snippets in knitr (a report generation software for R). Jonathan Carroll, a DataHaskell contributor, was working on an article showcasing Haskell’s viability for data science workloads. We built a small shell script that took Haskell code snippets, transformed them to work with GHCi (particularly putting multi-line functions in blocks), evaluated them in the command line, and then captured the output.

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AI生成的代码有bug是常态,不是例外。它能帮你写70%的代码,剩下30%你得自己改、自己调。