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Poem/1 uses AI to craft a unique poem for every minute of the day, turning your daily routine into a literary adventure and challenging our perception of time as mere seconds ticking by.
If you're tired of your clock just displaying the time, how about one that turns each minute into a unique poem? Enter Poem/1, an AI-powered clock developed by Matt Webb’s studio, Acts Not Facts, in collaboration with industrial design firm Approach. This whimsical gadget aims to transform the mundane act of checking the time into a poetic experience.
Traditionally, clocks are functional devices that simply display the current time. Poem/1 changes this by integrating AI to generate a unique poem for every minute of the day. Here’s what makes it stand out:
The technical details of Poem/1 are as intriguing as its poetic output:
Poem/1 is designed to be both functional and artistic:

Matt Webb, the creator of Poem/1, has a history of blending digital innovation with physical design. Previously, he ran Berg, a London-based hardware studio known for projects like The Little Printer, which printed daily news on receipt paper. These projects aimed to bridge the gap between digital information and physical objects.
Poem/1 continues this tradition by reimagining how we interact with everyday devices. In an era where the Internet of Things (IoT) has often been criticized for overpromising and underdelivering, Poem/1 offers a refreshing take on connected devices that adds value through creativity and whimsy.
Poem/1 is currently available for pre-order on Kickstarter at $150. The project has already gained significant traction, with backers excited about the unique blend of poetry and technology.
Poem/1 is more than just a clock; it's a testament to how AI can be used to enhance our daily lives in unexpected ways. By turning time into poetry, this device challenges us to see the world through a more creative lens, one minute at a time.
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Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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31 January 2024
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