• Landscape Reading Model — Text Network Representation

    How do we perceive a text when we read it? The answer to this question can help us understand how attention functions and identify various strategies to enhance our writing. Additionally, it can inspire new methods of reading that increase engagement and accessibility. In this article, we’re going to demonstrate how the landscape reading model can be represented using text networks and how this representation helps generate new ideas and insights in InfraNodus.

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  • Ecological Thinking Framework

    We present a schema and an algorithm to promote ecological thinking. It is based on alternating between focus and exploration, zooming in and zooming out. An increased level of variability in thinking also makes it more diverse and, thus, adaptable, robust, and resilient.

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  • Open Source AI Spirits, Rituals, and Practices

    In this article, we propose the idea of an open-source AI spirit, which is comprised of an algorithm that encourages a certain ritualistic practice, supports the discipline and provides feedback to the practitioner.

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  • Variability of a Text, Ecology of Attention

    Modulating variability in a text or a conversation can have an interesting effect on its dynamics. A writer will never get stuck, a conversation will always be interesting, a discourse will stay ecological at its core. We propose an approach based on panarchy, embracing diversity and homogeneity at the same time, as applied to discursive practices.

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  • How to Boost Your Mind Viral Immunity

    Courtesy: Neuralink

    In our increasingly interconnected world the notion of mind viral immunity becomes very important. It is already difficult enough to deal with the multitude of inputs coming at us from every direction. What happens when their number increases exponentially? How can we protect ourselves from everything being available at any moment of time? Network epidemiology frameworks can help. Diversity is the key.

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