File:Neural Office Workers.png

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Original file (1,024 × 1,024 pixels, file size: 2.25 MB, MIME type: image/png)

Captions

Captions

Human offices workes metaphorically working in some semblance to biological neurons.

Summary

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Description
Deutsch: Das Bild ist als Illustration zu der Idee neuronaler Unternehmen oder Organisationen zu verstehen. Es veranschaulicht Gedanken von etwa Theo Gehm[1], Joel de Rosnay [2], Howard Bloom[3], Jagers op Akkershuis[4] oder David Chalmers[5].

Zum Anderen ist das Bild als Dokumentation des aktuellen Standes von KI-Zeichenprogrammen zu verstehen. Hier fällt unter anderem auf, dass der Büroarbeiter unten links keinen erkennbaren rechten Arm zu haben scheint. Auch sind die Deckenlampen oben nicht wie im Prompt vorgegeben innerhalb der Körper der Neuronen gezeichnet. Und: das Innere der Neuronen sollte laut Prompt durch eine durchscheinende Membran zu sehen sein. Auch das hat die KI nicht umgesetzt.

Der vollständige Prompt ist hier mit in die Dokumentation aufgenommen (siehe unter englischer Beschreibung).

English: The prompt used was: "Can you draw an image: five different biological neurons are heavily interconnected. Thick branching axons can be distinguished from numerous thin dendrites with synaptic gaps attached to each neurons outside-body. Inside each neuron there should be human office workers in an office environment. These workers should be visible through the translucent membranes of the neurons bodies. Each neurons inner body with the workers inside should have a realistic source of light like a modern table lamp. The connections between the neurons (axons, dendrites) should be made up of technological, communicational material like cables, telephones, wlan or lan-gear."

The image is meant to illustrate the possibility of some similarities between biological neural networks, computational neural networks and networks of organisationally communicating humans. One specific idea, not well rendered by the AI, is the reduction of information: a single office workers main output often consists of reducing many different ingoing inputs (through the dendrites) to just one output (through the axon). An example: to produce the simple output of either "yes" or "no" as whether a company should retreat from China can involve hundreds or thousand of different word and images an individual worker receives and processes.
Date
Source Own work
Author ChatGPT using DALL

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  1. Theo Gehm: Informationsverarbeitung in sozialen Systemen", BELTZ Psychologie Verlags Union. 1996 ISBN: 3-621-27324-7
  2. Joël de Rosnay: Homo symbioticus. Einblicke in das 3. Jahrtausend, Gerling Akademie Verlag, München 1997, ISBN 3-9803352-4-0. Hier zum Beispiel das Kapitel "Die Neuronen der Erde"
  3. Howard Bloom: Global Brain. Die Evolution sozialer Intelligenz. Deutsche-Verlags-Anstalt Stuttgart. 1999. ISBN: 3-421-05304-9. Speziell das Kapitel 5: Von sozialen Synapsen zu sozialen Nervensträngen
  4. G.A.J.M Jagers op Akkerhuis (2010): "The operator hierarchy: a chain of closures linking matter, life and artificial intelligence". Hier speziell das Kapitel 3, ab Seite 77: Extrapolating a hierarchy of building block systems towards future neural network organisms
  5. Andy Clark: Supersizing the Mind: Embodiment, Action, and Cognitive Extension. Oxford: Oxford University Press. 2008

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