Thoughtful article on the long term consequences of AI generated art, copyright, the art industry and historical innovations (e.g. the invention of the camera):
miniblog.
Related Posts
Generated Code Generates Overconfident Coders: https://www.deeplearning.ai/the-batch/issue-180/
A study of programmers found that using a LLM for completion produced buggier code but users were more confident in it.
I wonder if this generalises to other completion techniques?
A survey of parser generator usage in major language implementationss: https://notes.eatonphil.com/parser-generators-vs-handwritten-parsers-survey-2021.html
Most have a handwritten parser. GCC and Go moved from generated to handwritten. SQLite and Python <3.10 built their own parser generators!
Visual Studio is adding GMail-style predictive code completion, using an ML transformer model.
Unlike GitHub Copilot, it seems to focus on smaller code snippets and leverages the surrounding code context. The examples generated seem less surprising.

