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Cake day: June 22nd, 2025

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  • Bias of training data is a known problem and difficult to engineer out of a model. You also can’t give the model context access to other people’s interactions for comparison and moderation of output since it could be persuaded to output the context to a user.

    Basically the models are inherently biased in the same manner as the content they read in order to build their data, based on probability of next token appearance when formulating a completion.

    “My daughter wants to grow up to be” and “My son wants to grow up to be” will likewise output sexist completions because the source data shows those as more probable outcomes.


  • I did, thank you. Terms therein like “they spend more time prompting the AI” genuinely do not apply to a code copilot, like the one provided by GitHub, because it infers its prompt based on what you’re doing and the context of the file and application and creates an autocomplete based on its chat completion, which you can accept or ignore like any autocomplete.

    You can start writing test templates and it will fill them out for you, and then write the next tests based on the inputs of your methods and the imports in the test class. You can write a whole class without any copilot usage and then start writing the xmldocs and it will autocomplete them for you based on work you already did. Try it for yourself if you haven’t already, it’s pretty useful.