







Bandwidth minimization is directly connected to the minimization of the use of artificial energy for networking, so it is of interest to permacomputing.
media minimization
Media minimization refers to the minimization of the kind of media that is usually high-bandwidth, such as images and videos.
Permacomputing
Permacomputing is a term originating from the demoscene, known for squeezing the most out of very restricted computing resources, such as the 4k intro with a maximum executable file size of 4096 bytes. Artist programmer Ville-Matias Heikkilä, aka Viznut, coined the term in a text he published on his website in 2020 1. What stands out in this writing is the holistic approach to computing and sustainability by taking inspiration from permaculture. In both computing and agriculture, problems are usually solved by increasing control over a process, which often goes hand in hand with an increase in resource use. Permaculture uses methods that lets nature do the work, minimizing the reliance on artificial energy. Heikkilä sees similarities between how both permaculture practitioners and hackers find clever solutions to problems. He writes that the existence of computers can only be justified by their ability to augment the potential of humans to have a strengthening effect on ecosystems.
Permacomputing
Permacomputing is a computing design philosophy which aims to improve resilience by using regenerative design in computer and network technology. It is inspired by permaculture.[1] Permacomputing approaches to computing often involve paying more attention to the life-cycle of hardware (including re-use and designing for older hardware),[1] using low-level languages such as FORTH that have greater operability with older hardware, and fostering a more mindful relationship with technology.[2]
permacomputing
Permacomputing is both a concept and a community of practice oriented around issues of resilience and regenerativity in computer and network technology inspired by permaculture. ପໄଓ☾☼✫ -☆:*´
Algorithmic Data Minimization for Machine Learning over...
Machine learning can analyze vast amounts of data generated by IoT devices to identify patterns, make predictions, and enable real-time decision-making. By processing sensor data, machine learning...

The Browser's Main Thread Is Expensive | kciter.so
What comes to mind when you hear "frontend optimization"? For most of us it's things like reducing network requests, shrinking the bundle,…
Permacomputing
Editor's note: As a programmer, media artist and educator teaching and working with computation and digital media, the nascent community and thinking around permacomputing has helped frame my own thinking and response to the wasteful and consumption-oriented nature of digital electronics and computation. This interview by Counter-N with two early thinkers on the concept of permacomputation provides a strong introduction to the concept and related movements.

The Data Minimization Principle in Machine Learning
The principle of data minimization aims to reduce the amount of data collected, processed or retained to minimize the potential for misuse, unauthorized access, or data breaches. Rooted in...

Teaching AI to Optimize AI Models for Edge Deployment
How our agent, Möbius automated a Core ML port in ~12 h (vs. 2 weeks), hit 0.99998 parity, and made it 3.5× faster, while staying on the CPU.
