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Over 20% of Indians on GitHub Used AI to Write Python Functions: Study
- A study conducted by multiple institutions outlined the use of AI to write code globally and its economic impact.
- The study trained a neural classifier to detect AI-generated Python functions in 80 million GitHub commits by 200,000 developers over six years.
- AI was estimated to have written 30.1% of Python functions by US contributors, with varying percentages in other countries.
- Newer GitHub users tend to use more AI than veteran users, and using AI 30% of the time can raise quarterly commits by 2.4%.
- Combining wage data with programming estimates, the study calculates that AI generates $9.6-14.4 billion annually in the US software sector.
- Researchers ensured the neural classifier correctly identifies AI-generated Python functions by collecting human-written functions and synthetic AI-written functions.
- They used GraphCodeBERT, a cutting-edge model, to tokenize and embed the code for classification, achieving a high detection precision.
- The study explored AI's impact on coding practices and economic implications in various countries and sectors.
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