Mimicry and mimesis with artificial intelligence?

Boris Eldagsen and Jürgen Tenckhoff in conversation

About a year has now passed since the first exciting AI talk between Boris Eldagsen and Jürgen Tenckhoff. While the first conversation took up the topic of AI and autopoiesis as guiding principle, the focus now was on the embedding of artificial intelligence in constructs such as mimesis and mimicry, i.e. the deception known and practiced in the animal and plant kingdoms for the self-preservation of one's own species.

In the discussion it quickly became clear that this goal, which is purely evolutionary in the animal world, now produces a variety of completely different aspects in the world of artificial intelligence. Without anticipating the video contribution, one key point is the authenticity problem in the production of image material. The names of digital photos can be easily changed, and the associated metadata can be manipulated just as easily.

In the discussion a solution was therefore presented, such as how digital files can be clearly named based on their content instead of being loosely named. The name would automatically change if the content or the associated metadata of this digital file were changed. This does generate authenticity, but how do you generally create trust, which is currently dwindling the more populists are able to spread alleged truths without regulation that only serve to achieve their own goals? And this is where "AI" comes into play, as realistic-looking images can already be created that can easily be misused to reinforce the above-mentioned purpose.

The developments surrounding AI are still more than exciting, but see and hear for yourself.

Theoretical Perspective: AI, Mimicry, and a Quantum-Monadic View

From the perspective of the Theory of Quantum Monads, the distinction between mimicry and mimesis in artificial intelligence can be articulated more precisely. AI systems operate primarily mimetically at the level of patterns, forms, and statistical regularities, without necessarily possessing an autonomous embedding of meaning.

What appears as mimesis is often the result of highly developed mimicry: the convincing reproduction of expressive forms does not replace the situational anchoring of meaning. In a quantum-monadic perspective, artificial intelligence currently lacks the stable entanglement of perception, context, and meaning that would be constitutive of genuinely mimetic processes.

The Theory of Quantum Monads therefore does not describe AI as a conscious subject, but as an interaction-capable system with variable coherence. The degree of this coherence—understood, for example, in terms of the Interaction Energy Quotient (IEQ)— determines whether an AI system merely imitates or becomes, to a limited extent, capable of resonance.

A systematic elaboration of the AI-related aspects of the Theory of Quantum Monads is developed at tenckhoff.eu .

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