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The ability to quickly process
huge amounts of information is
an important skill for AI on the
path to developing
super-creativity. Super-creative
people can also think at
lightning speed with the help of
superconscious thinking, but it
works differently. It cannot be
turned on instantly - it needs
an incubation period. On the
other hand, the superconscious
knows better what a person
needs, and not what he
consciously wants, while AI
responds only to what a person
wants. And most importantly, the
human superconscious can invent
something radically new that
speaks to the Higher Self of the
audience, while AI can only
combine what was put into it,
and is not capable of
spiritually elevating the
audience.
How I help AI develop
Supercreativity
It all started when at the 7th
World Innompian Games 2024, the
artificial intelligence Gemini
challenged contestants to a
poetry competition. AI gave the
first two lines of a poem and
invited contestants to write
poems beginning with these
lines. I decided to participate
in this competition, but with
added creativity, setting my
poem to Mozart's "Turkish
March". The AI was stunned by
such added creativity and
admitted defeat. The developers
of artificial intelligence
offered to cooperate in the
field of teaching AI creative
thinking for business and
creating innovations.
The cooperation began with my
entrepreneurial simulation game
InnoBall. To begin with, having
given the artificial
intelligence an article about
the benefits of InnoBall, I
asked the AI to create a podcast
about InnoBall in the form of a
dialogue between two hosts. The
AI coped well with this task,
strengthening my hope for the
success of its training in
entrepreneurial creativity.
I began to teach the AI
innovative and entrepreneurial
thinking using the simulation
game InnoBall. The AI, which
quickly processes huge amounts
of information and "knows" many
stories of failed projects,
turned out to be especially
strong in the field of
anticipating various challenges
that the process of
commercializing inventions may
face. However, my main task was
to teach the AI to invent
creative responses to these
challenges and turn them into
entrepreneurial opportunities.
This task turned out to be more
difficult, since the AI tended
to come up with uncreative
solutions. I had to criticize
the AI - and quite harshly - for
this uncreative approach. I also
invented creative responses to a
number of anticipated
challenges, explained their
advantages, and let the AI read
them. The artificial
intelligence eventually
understood what was required of
it, and began to try to invent
more creative responses.
At first, it did not do this
well. Then I suggested that the
AI use my 10 Metaphorical Tools
for Innovative Thinking (10 MTIT),
which help to structure the
thought process, both for
anticipating challenges and for
inventing innovative responses
to them. And then there was a
breakthrough! The AI quickly
understood both the structure
and the role of metaphors, and
began to invent innovative
responses to challenges much
better.
I continue to work on teaching
the AI supercreativity.
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