Feed: Slashdot
Feed Link: https://slashdot.org/
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Title: Slashdot Reader Mocks Databricks 'Context-Aware AI Assistant' for Odd
Bar Chart

Link: https://slashdot.org/story/25/10/25/2327225/s...

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.

Read more of this story at Slashdot.

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