Slashdot Reader Mocks Databricks 'Context-Aware AI Assistant' for Odd Bar Chart

Long-time Slashdot reader theodp took a good look at the images on a promotional web page for Databricks' 'context-aware AI assistant':

If there was an AI Demo Hall of Shame, the first inductee would have to be Amazon. Their demo tried to support its CEO's claims that Amazon Q Code Transformation AI saved it 4,500 developer-years and an additional $260 million in 'annualized efficiency gains' by automatically and accurately upgrading code to a more current version of Java. But it showcased a program that didn't even spell 'Java' correctly. (It was instead called 'Jave')...

Today's nominee for the AI Demo Hall of Shame inductee is analytics platform Databricks for the NYC Taxi Trips Analysis it's been showcasing on its Data Science page since last November. Not only for its choice of a completely trivial case study that requires no 'Data Science' skills — find and display the ten most expensive and longest taxi rides — but also for the horrible AI-generated bar chart used to present the results of the simple ranking that deserves its own spot in the Graph Hall of Shame. In response to a prompt of 'Now create a new bar chart with matplotlib for the most expensive trips,' the Databricks AI Assistant dutifully complies with the ill-advised request, spewing out Python code to display the ten rides on a nonsensical bar chart whose continuous x-axis hides points sharing the same distance. (One might also question why no annotation is provided to call out or explain the 3 trips with a distance of 0 miles that are among the ten most expensive rides, with fares of $260, $188, and $105). Looked at with a critical eye, these examples used to sell data scientists, educators, management, investors, and Wall Street on AI would likely raise eyebrows rather than impress their intended audiences.

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