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This AI company can visualise your dreams. Here's how it works

This AI company can visualise your dreams. Here's how it works

Euronews28-06-2025
A Dutch company says it has developed a way to use artificial intelligence (AI) to record dreams.
Modem Works, an Amsterdam-based think tank and design studio, claims the Dream Recorder can capture dreams in 'ultra-low definition' and in any language.
'Wake up, speak your dream aloud … and watch it come to life in a dreamscape in the aesthetic of your choice,' the website for the project reads.
How does it work?
Modem Works says the project is 'Do-It-Yourself by Design.' It asks prospective users to download the open-source code, gather the hardware, 3D print the Dream Recorder's shell and assemble everything.
Once assembled, users can double-tap to start a recording of themselves recalling their dream, and once finished, the dream will be generated. Another tap will play the generated dream and up to seven others that will be stored on a small 8-gigabyte processor.
The company published the open source code on Github, a platform where coders share their projects, along with a list of the products they would need and where to buy them.
The parts listed for the Dream Recorder include an HDMI screen, the 8-gigabyte processor, a micro SD card and a USB microphone. The approximate cost for all the parts to build a Dream Recorder is roughly €285, the developers wrote.
The device would also require paying for the application programming interface (API) from OpenAI and AI video generation company LumaLabs to help generate the images for the dream.
The developers estimate it would be less than $ 0.01 or $ 0.14 per dream, respectively, depending on the quality of the image.
The Dream Recorder is the latest attempt to map out dreams with AI. In 2023, Japan's ATR Computational Neuroscience Laboratories developed an AI system that uses MRI scans to visualise and record dreams with a 60 per cent accuracy.
Another pre-print study from the National University of Singapore and the Chinese University of Hong Kong in 2023 came to the same conclusion.
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