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For years, we humanities graduates have been told variations of the following message: you’re better off learning to code, because we’ll always need developers but writers will go the way of the dodo.
But advances in AI since 2022 have put this to the test. While human writers are no doubt being forced to compete with AI-written content, developers are also being asked to outsource more and more of their work to large language models in a bid for improved productivity.
While AI-generated code can be quick to produce and efficient to run, it also comes with associated risks such as overlooked vulnerabilities.
Are developers actually going to lose their jobs to the machine?
In this episode, Jane and Rory discuss the extent to which developers are already using AI to generate code and the potential risks associated with the practice.
5
11 ratings
For years, we humanities graduates have been told variations of the following message: you’re better off learning to code, because we’ll always need developers but writers will go the way of the dodo.
But advances in AI since 2022 have put this to the test. While human writers are no doubt being forced to compete with AI-written content, developers are also being asked to outsource more and more of their work to large language models in a bid for improved productivity.
While AI-generated code can be quick to produce and efficient to run, it also comes with associated risks such as overlooked vulnerabilities.
Are developers actually going to lose their jobs to the machine?
In this episode, Jane and Rory discuss the extent to which developers are already using AI to generate code and the potential risks associated with the practice.
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