In a simple formula, Knowledge in design is depth of
understanding times area of possibility field. Possibility field is a palette
of possible tools and materials in individuals’ mind while the depth of
understanding literally indicates level of understanding on things on the
palette or the confidence to use them. The main reason for me to apply for
MS_DT was to expand my palette while have hands-on understandings to assure
myself on utilizing things on my palette. I believe that is the best way to
advance as a designer.
In past days, architects seemed to believe the depth in
understanding on tools such as materials, representation, and construction
methods, is more effective way to advance the design. With more realistic
reasons, expansion in palette only happened in few experimental projects, and
in many cases, architects returned to convention. Meanwhile, leaders of
architects like Frei Otto, Peter Zumthor, Frank Gehry, and Zaha Hadid, pushed
the boundaries on understanding to open up new potentials.
With the rapid advancement in technology, only within recent
few years, architects at the edge seem to find a way to utilize their expanded
palettes in real projects. Tools like Rhinoceros and grasshopper3d provide interface for architects to use developed mathematical and computational solutions from other
industries. CAD, CAM and robotic fabrication allow us to adapt new methods of
making from other industries. With more open sourced materials, it seems about
right time to share our deepened knowledge with other industries with less cost
and higher efficiency in transition.
Collaboration in different field inevitably requires an
arbiter role. Designers are the trained people to collect and survey data,
then, abstract to shape core value and create future from it. Thus, in many
collaboration work, designers manage the flow of knowledge. Hence, both the
expansion in palette and depth of understanding are the core values for
designer. Now seems the best time to achieve stiff increase in knowledge.
In a way, this seems to be the role, expected to perform
better by future A.I. A.I will store a lot more data in short time then a
regular designer. It will have precisely calibrated algorithm to find the core
value. Then it will create a design that can perform better functionally and
emotionally from collected big data. It will not have any problem with managing
collaboration in different field, since it will understand all the necessary
tools it needs. While a human being purely depends on one’s personality and
experience in one’s lifetime for creation, A.I. will be equivalent to infinite
number of personality and unlimited experience. Within 50 years at the maximum,
we will see an ultimate solution of design by A.I that will perform perfect in
general criteria.
Nonetheless, A.I. will not be able to replace all the
designers. The unbiased data collection, and best performing in general
criteria do not always mean the best design for one. It will be more popular,
but there will be people seeking for uniqueness. The biased, and immature,
compare to the amount of collected lifetime experience to A.I, experience and
personally will create a unique solution that can match with a single person.
Some people say A.I will even be better on this situation, too because it can
collect the preference of the client and create the best for that.
Nevertheless, the uniqueness will be the competitive value for a human
designer. We just need to be ready with enough colors on our palette and
understanding on how to mix and use them.
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