Techno Trash

Tidyup Media* discovers the best, emerging lens-based artists and cultural operators working with legacy media. We give them access to online reliable e-waste recycling, production, sales and distribution links. We provide sustainable sources of income, and promote engagement with professional arts advocacy work promoting recycling tape, prints and films as positive vehicles of cultural and social transformation. We’re committed to disruptive e-waste/techno trash processes, learning from international apps, and joining sustainable EU networks. We’ll continue to limit the environmental impact of old tapes, film and prints used in the process of making movies and art.

Our research into tape recycling based around analogue video tape such as VHS and other related formats that were used in the creative media industries.   Analogue video footage is stored, digitised and distributed in a number of ways each costing time and money requiring technological knowhow and in particular how to access zero waste recycling of VHS is unclear even to the most dedicated.

Customers who have digitised dozens of tapes are still left with the dilemma of where to dispose of unwanted VHS.  In the past tapes were sent to landfill at a terrible cost to the environment as they contain toxic chemicals.  Today zero waste recycling is possible, nothing is sent to landfill, all materials are recycled into new products.  Our campaigns inform people of the ability to recycle VHS video tape.

VHS tape which holds many powerful memories, hardware is becoming obsolete and expensive, there are jobs for enterprising people looking for flexible work which does not require too much of an outlay, learning along the way about media law and techno trash. 

Grandma AIma


“Claude Shannon, artificial intelligence pioneer and founder of information theory, met his wife, Mary Elizabeth, at work.  This was Bell Labs in Murray Hill, New Jersey, the early 1940s.  He was an engineer, working on wartime cryptography and signal transmission.

            She was a computer

What Artificial Intelligence Teaches Us about Being Alive, Brian Christian

We’re are campaigning for more inclusive AI data like the stills from the documentary ‘Desperately Seeking Grandma Alma’ to disrupt the current search engine bias; the lack of ethnic diversity in grandma images search engine results identified by Fei Fei Li in 2016.  According to the AARP there are 70 million grandparents: 40.3 million (56%) are grandmothers and 29.3 million (44%) are grandfathers.

“Just type the word grandma in your favourite search engine and you’ll see the bias in pictures returned. You’ll see the race bias. If we’re not aware of the bias of data, we’re going to start creating really problematic issues.”

AI specialist, Fei Fei Li, White House Conference

Massive data sets are required to teach computers how to identify images, but as the computer scientists making the data sets tend not to include any middle-aged women from ethnically diverse backgrounds this exclusion is mirrored in their absence in Grandma images search engine results.

Join us in our techno trash and grandma search engine campaigns.