You Need to Think Outside of the Box!


Pictures: 3 Ways to Start Developing Out-of-the-box Thinking AND When less says more
1. “Tic-Tac-Toe has very strict rules, but sometimes rules are meant to be broken. When you find that you’re running out of options, stop asking “What do I do?” Consider asking “What has no one else done before?”“
2. “I would say that abstraction probably is, for me, the most important concept of art. ...I start with a thousand different thoughts and then I, one by one, throw them all out, until, at the end, I have the one or two or three that are essential to the whole question. But the abstraction, for me, is this idea of getting rid of everything that’s not essential to making a point.”
Two great ideas to start the next week with the FINANCE concentration during my learning Monday. A little bit like Shu-Ha-Ri:
守 Shu (Protect / Obey) – Follow the form. Learn the fundamentals.
破 Ha (Break / Detach) – Understand the principles. Find your own way.
離 Ri (Leave / Transcend) – Go beyond the form. Create anew.
You first need to learn the basics and understand the principles, before you can cut off unnecessary parts and leave your box or comfort zone. Will take some time ...
Here part of a Perplexity chat that has similarities (see full result):
Commonalities
Both Lot-Size-One Production and AI content generation represent a shift towards on-demand and personalized creation:
Customization and Personalization At its core, Lot-Size-One is about manufacturing a product that is tailored to a single customer’s specific requirements. Similarly, AI text and video generators produce unique content based on the specific prompts and instructions provided by a user.
On-Demand Principle Both systems operate on a “pull” basis, meaning that production or creation is triggered by a specific customer order or user request. This contrasts with traditional mass production, which operates on a “push” model of producing goods in anticipation of demand.
Reliance on Technology and Automation To be economically viable, Lot-Size-One production relies heavily on advanced automation, robotics, and sophisticated data management systems, such as ERP software and the concept of a “digital twin”. AI generation is similarly dependent on powerful computing infrastructure, complex algorithms, and large datasets for training models.
Flexibility Both processes are designed for high flexibility, allowing them to handle a vast range of variations and produce a unique output for each request.
Have a great week:
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Hey, great read as always. I loved how you connected abstraction with getting rid of the non-essential, especially when thinking about AI content generation. What if we pushed 'outside the box' thinking with AI to not just personalize, but to fundamentally challenge the very rules of creation itself? That's a concept I find especialy exciting for how we teach students to innovate.