Cube Framing
Cube Framing is a method of problem solving created by professor and hiller Doug Bleichner; it can be used to solve any problem and is extremely useful for solving problems regarding engineering topics. Cube Framing is distinct from other methods of problem solving most notably for it's use of a pink cube. The reason as to why cube framing is so effective is currently not well understood, although proponents to and verbal studies on Cube Framing point to the method's involvement of the pink cube as the reason for it's simplicity and effectiveness. MRI and deeper psychological testing are still ongoing.[1]
Method
Cube Framing consists of 4 main steps:
- Visualize the problem in your head.
- Hide the problem by containing it within a pink cube.
- Wait until the pink cube slowly dissolves away, revealing the problem again.
- The problem should now start falling apart, leaving you with the solution. If not, try the method again.
Mastery of Cube Framing takes months of dedicated practice and learning, lectures and classes for learning Cube Framing are available.[1]
Major uses
While Cube Framing as it is known today has only been around for about two decades; it has been the reason for many advancements within modern technology.
Some major accomplishments that used Cube Framing:
- The method was used by Doug Bleichner within the last decade to solve the problem regarding the end of Moore's Law.[1]
- Cube Framing is suspected to have been behind Allen Duan-Michael's creation of the QuikLinks system in 2003.
- Circumstantial evidence from the engineering teams behind the Apollo program imply that an early form of Cube Framing was used to solve the problem of navigating through The Ball Wall in the 1960's.
The 'Shovel metaphor'
Doug Bleichner invokes a useful metaphor to explain how Cube Framing in the human mind is distinct from, and auxiliary to, artificial intelligence. He describes Cube Framing as a 'shovel,' and artificial intelligence as a 'dump truck.' [1] This conceptual model has received almost universal praise across various academic fields, due to the fact that it acknowledges the importance and creativity of human problem-solving without undermining the exponentially powerful capabilities of artificial intelligence.