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Update driving-company-culture-through-ai-haiku-poetry.md (#18480)

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I added some extra haiku context to emphasize the AI's sterling effort
of incorporating traditional subject matters into its poetry.
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Mike Thomas
2024-04-22 20:20:02 -07:00
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@@ -18,9 +18,9 @@ Ready for new flow.
At Fleet, we harness the power of GitHub to track and manage all of our business processes, design ideas, and engineering tasks. Everything we do is conducted [publicly](https://github.com/fleetdm/fleet/issues), embodying our commitment to [openness](https://fleetdm.com/handbook/company#openness). However, the mundane task of issue tracking needed a spark of creativity.
That's when we turned to AI, specifically to the structured simplicity of Japanese haiku—17 syllables divided into three lines of 5, 7, and 5 syllables. This poetic form, known since the 17th century, contrasts sharply with the complexity of software development. It distills vast concepts into concise, evocative expressions. Influenced by masters like [Matsuo Bashō](https://en.wikipedia.org/wiki/Matsuo_Bash%C5%8D), our AI models are trained to craft haikus that capture the essence of each GitHub issue as it closes, infusing our routine with moments of unexpected beauty.
That's when we turned to AI, specifically to the structured simplicity of Japanese haiku—17 syllables divided into three lines of 5, 7, and 5 syllables. This poetic form, known for its objective descriptions of nature, contrasts sharply with the complexity of software development. It distills vast concepts into concise, evocative expressions. Influenced by masters like [Matsuo Bashō](https://en.wikipedia.org/wiki/Matsuo_Bash%C5%8D), our AI models are trained to craft haikus that capture the essence of each GitHub issue as it closes, infusing our routine with traditional haiku subjects such as the season, time of day, and other images of the natural world to create moments of unexpected beauty.
Since integrating this AI-driven poetry with our GitHub bot, [thousands of haikus](https://github.com/fleetdm/fleet/issues?q=is%3Aissue+is%3Aclosed) have been created, each marking the resolution of an issue with a smile. These haikus range from humorous to profound, always adhering to the 5-7-5 syllable structure.
Since integrating this AI-driven poetry with our GitHub bot, [thousands of haikus](https://github.com/fleetdm/fleet/issues?q=is%3Aissue+is%3Aclosed) have been created, each marking the resolution of an issue with a smile. Like modern haiku, these poems range from humorous to profound, often, but not limited to the subject of nature, but always adhering to the 5-7-5 syllable structure.
Another favorite emerged when we launched an [arm64 binary](https://github.com/fleetdm/fleet/issues/9047) of `fleetctl` for macOS on Apple Silicon: