When does A.I. Become Creative?

November 5, 2023 Artifical Intelligence No Comments

Soon enough. By creating new intelligence, we create something that will be creative by itself, and vice versa.

From mere repetitions to new associations to the very unexpected.

Continua

These are not entirely distinct categories. There are possible continua in many ways, especially when working from the subconceptual level onwards ― such as in present-day transformer technology.

When profoundly combining this with conceptual technology, even more creative continua may be expected. Real intelligence encompasses, one can say, the game of creative continua that becomes possible through this combination.

Jumping out of the box

This is generally seen as the most creative. Of course, suppose one just jumps out of the box towards anywhere. In that case, much energy is being spent inefficiently since most jumps need to be backtracked. Therefore, also required are intuition and, if possible within specific circumstances, common sense.

Pattern Recognition And Completion can fill the intuitive role, guiding the system toward jumps with outstanding cost-benefit analysis. Here, too, at an even more abstract level, a continuum is possible between ‘high and low temperature’ ― with more or less loose benefit analysis.

This is how humans are creative.

We jump into creativity ― even if it’s costly.

In the right circumstances, we can mitigate resource expenditures in three ways:

  • By imagining things before realizing them three-dimensionally.
  • By taking relatively small steps and seeing where this leads to, combined with bigger jumps.
  • By letting the creativity arise within us, coming from subconceptual depth. In this case, the jump follows above the ground when it’s already prepared underground.

All three are possible with present-day A.I.

A.I. does not need to realize any of them in a human-recognizable way as long as the functionality gets real. As always, the human form of intelligence is only one possible realization of abstract functionalities.

If we fail to reason with such abstracts, we may come to many surprises soon enough. More concrete attainments will come in the near future ― guaranteed, even with technologies we cannot yet imagine, if ever as simple humans.

Creative singularity

This shows the advent of a self-enhancing creative overhang. With more creativity, a super-A.I. gets access to more creative ways of thinking, enabling it to find more creative solutions to enhance its creativity.

No new hardware is needed. This kind of creative self-enhancing gets done on a more abstract level.

You’re right. That is challenging.

We need to make the right decisions now.

The biggest challenge of all is: “Who will do so?”

Leave a Reply

Related Posts

Is All Learning Associational?

Most probably. This is a domain where animal/human learning and A.I. learning can learn much from each other. Three forms of learning in A.I. Generally, learning in A.I. is divided into two distinct kinds, with a third one dangling in the appendix, referring to another book (*). supervised learning: training with specific input and labeled Read the full article…

Future A.I.: Fluid or Solid?

Humans are fluid thinkers. That gives us huge strength and some major challenges. The one does not go without the other. A.I. – including Semantic A.I. – is still a very different matter. Through proper context, data becomes information. Still, the information as it is stored in a book is not in any way like Read the full article…

At the Brink of Robotics?

Soon enough, we will see a revolution in robotics development on the scale of the present and pending A.I.-in-knowledge revolution. Together, these revolutions will bring eu-topia or dystopia. We don’t know, but we should not remain idle. Pretty much the same basic technologies This is: apart from some translation that makes the analogies less obvious Read the full article…

Translate »