Crazy Wisdom
Episode #551: From Trash to Tools: The Open Hardware Revolution Powering Solarpunk Science
- AI & Agents
- Knowledge & Learning
- Robots & Atoms
- open source hardware
- three d printing
- scientific equipment
- lab equipment costs
- Arduino
- RepRap project
- filter wheel changer
- ESP 32
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Timestamps
- 00:00Welcome and introduction to Joshua Pearce, discussing his work on open source lab equipment and the evolution since publishing his book in 2013
- 05:00Early development of open source hardware including the breakthrough filter wheel changer project built by a high school student that saved thousands of dollars
- 10:00Discussion of how Arduino and RepRap three-d printers enabled the democratization of scientific tools, making complex equipment accessible to anyone
- 15:00Economic impact showing average tool savings of 85 percent, with Arduino and three-d printing combinations reaching mid-90s percent cost reduction
- 20:00Case study of PhD student Mariam building complete battery research tool chain from scratch using open source designs and three-d printed components
- 25:00Recycle bots enabling transformation of waste plastic into three-d printer filament for pennies, revolutionizing material costs and sustainability
- 30:00Collaboration between universities and open source companies creating fluid handlers and acquisition systems, accelerating research capabilities globally
- 35:00Large language models assisting code translation and research planning, though hallucinations require careful verification and domain expertise
- 40:00Importance of fundamental knowledge when using AI tools, comparing vibe coding acceleration with necessity for understanding underlying principles
- 45:00Testing standards and calibration methods for open source equipment, balancing precision requirements against cost-effectiveness for specific applications
- 50:00Metal and ceramic three-d printing developments including MIG welding techniques and sintering processes for creating functional parts
- 55:00Knowledge management through open source licenses, repositories like Thingiverse and Apropedia enabling global collaboration and continuous improvement
Key Insights
- Open source hardware has evolved dramatically since Joshua Pearce wrote his book in 2012-2013, to the point where he can no longer keep up with all the developments in the field. What started as a collection where every single example could fit in one book has exploded into an entire ecosystem with dedicated journals and thousands of researchers contributing. The vision was that scientific papers would eventually include hyperlinks to equipment designs that anyone could download and replicate, and that future is largely here today. There are now so many open source hardware articles being published that no single person can read them all, which represents a massive success for the movement.
- The fundamental breakthrough enabling open source scientific hardware came from combining several key technologies, particularly the RepRap three-d printer project and Arduino microcontrollers. Pearce's introduction to the field came when he needed a sixty-five dollar plastic part for a solar laptop project and discovered Adrian's open-sourced rapid prototyper that could make its own parts. This led to building equipment like a filter wheel changer for testing solar panels with a high school student in about a week, replacing a device that would have cost two thousand five hundred dollars with five months lead time. The democratization of tools like three-d printing and Arduino, combined with extensive code libraries and shared designs, means that even high school students can now create sophisticated scientific equipment.
- Open source scientific hardware delivers massive economic benefits, with the average tool saving scientists around eighty-five percent compared to commercial equipment, and savings reaching the mid-nineties when using Arduino and three-d printing. The economics are so compelling that the tax paid on a normal scientific tool can cover the cost of an open source alternative. A thousand dollar three-d printer can manufacture scientific tools worth more than a thousand dollars in a single Saturday. This dramatic cost reduction makes sophisticated research accessible to laboratories around the world regardless of their funding levels, fundamentally democratizing scientific capability.
- The knowledge management approach enabled by open source licenses creates a powerful collaborative improvement cycle where thousands of people worldwide contribute to evolving designs. When researchers publish equipment designs with strong reciprocal licenses, anyone can use, modify, or even sell the designs, but improvements must be shared back with the community. This creates a dispersed international engineering effort where equipment continuously improves through contributions from researchers across different institutions and countries. The RepRap three-d printer exemplifies this process, starting as barely functional prototypes but evolving through community contributions to surpass commercial alternatives in speed, resolution, and material capabilities.
- The integration of large language models and AI tools has significantly accelerated open source hardware development, though with important caveats about their limitations. LLMs excel at translating code between languages, suggesting experimental approaches, and helping researchers navigate unfamiliar fields by quickly synthesizing information from scientific literature. However, they suffer from hallucination problems and cannot be trusted for writing scientific articles or conducting complete literature reviews without verification. The key to effective use is having enough foundational knowledge to ask the right questions and verify outputs, using AI as a powerful acceleration tool rather than a replacement for expertise.
- Material science capabilities in open source hardware have expanded far beyond plastic three-d printing to include metals, ceramics, semiconductors, and composites through innovative adaptations of basic equipment. Pearce's lab has developed methods for metal three-d printing using modified MIG welding for as little as twelve hundred dollars, created slot-die coating systems for seventeen nanometer semiconductor layers using converted three-d printers, and developed techniques for ceramic printing through various material mixing approaches. The recycle bot technology enables converting waste plastic into high-quality filament for twenty-five cents instead of twenty-five dollars per roll, dramatically reducing material costs while enabling circular manufacturing practices.
- The infrastructure for sharing and discovering open source hardware designs has matured into a robust ecosystem spanning academic journals, commercial repositories, and specialized communities. Hardware X and the Journal of Open Hardware publish peer-reviewed designs alongside traditional scientific journals increasingly incorporating open hardware sections. Repositories like Thingiverse recently returned to hardcore open source principles after ownership changes and contains millions of designs, while Appropedia serves as a wiki for appropriate technology with thousands of open source designs. The GOSH community hosts annual conferences bringing together university researchers, companies, and independent hardware hackers, while field-specific communities have formed around technologies like the OpenFlexure microscope, creating networks where knowledge accumulates and never gets lost.
Episode transcript
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Welcome to the Crazy Wisdom Podcast. I've got Joshua Pierce here, and he is the John M M Thompson Chair in Innovation at the Department of Electrical and Computer Engineering and Ivy Business School at Western University. And he also wrote the book on replacing expensive lab equipment with open source hardware. The book is called Open source lab how to build your own hardware and reduce research costs. Written in 2012 or 2013 and now it's 2026, and I imagine you've learned a lot. Very excited to get into it.
So, what have you learned since the time you wrote this book about, are we close? Like, did you have a vision of this all happening or did it surprise you?
So the, the original, the impetus was to make it so. Eventually we would get to the point where if you read a scientific article in the methods section, you would have equipment and you could click on the hyperlink and literally download the files, replicate it yourself, and replicate the experiment. And we are getting very close to that now. We can't. It's certainly not every scientific paper, but when I wrote the book, I literally put every single example we had in there. Like, they were all there. And you, you could read, you know, you could read everything in open hardware coming out every year, no trouble. And today, I'm really happy to say you can't. There's no one that can keep up and read every article. There's just too many of them. we've got journals completely dedicated to this at this point. And now it's becoming commonplace, actually. And frankly, it's just bad science not to publish how you actually do your experimental research.
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