Beyond planetary-scale feedback self-regulation: Gaia as an autopoietic system

Niklas Luhmann: What is Autopoiesis?

The term autopoiesis (self-creation) is a neologism coined in 1972 by Varela and Maturana, Chilean cellular biologists and systems theorists, to describe

The Fabric and the Brain

Articulating agent ecologies with high-personality planetary computation

zai-org/GLM-5.3-Flash · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

https://z.ai/blog/glm-4.5

AI in World Machine Theory

The telos of AI is to create liveness at planetary scale

Systems of Global Governance in the Era of Human-Machine Convergence

Technology is increasingly shaping our social structures and is becoming a driving force in altering human biology. Besides, human activities already proved to have a significant impact on the Earth system which in turn generates complex feedback loops between social and ecological systems. Furthermore, since our species evolved relatively fast from small groups of hunter-gatherers to large and technology-intensive urban agglomerations, it is not a surprise that the major institutions of human society are no longer fit to cope with the present complexity. In this note we draw foundational parallelisms between neurophysiological systems and ICT-enabled social systems, discussing how frameworks rooted in biology and physics could provide heuristic value in the design of evolutionary systems relevant to politics and economics. In this regard we highlight how the governance of emerging technology (i.e. nanotechnology, biotechnology, information technology, and cognitive science), and the one of climate change both presently confront us with a number of connected challenges. In particular: historically high level of inequality; the co-existence of growing multipolar cultural systems in an unprecedentedly connected world; the unlikely reaching of the institutional agreements required to deviate abnormal trajectories of development. We argue that wise general solutions to such interrelated issues should embed the deep understanding of how to elicit mutual incentives in the socio-economic subsystems of Earth system in order to jointly concur to a global utility function (e.g. avoiding the reach of planetary boundaries and widespread social unrest). We leave some open questions on how techno-social systems can effectively learn and adapt with respect to our understanding of geopolitical complexity.

Evolution as fitness landscape navigation: Concepts, Measures, and...

Fitness landscapes are mappings between genotypes, phenotypes, and fitness that shape evolution. In recent years, empirical work and theoretical models have greatly advanced our understanding of...

All Projects — GLOBAÏA

Explore GLOBAÏA's portfolio of planetary visualizations, interactive tools, and science communication projects.

Planetary Sapience & Planetary Stupidity: a Bildungsroman for the Baby Noosphere | Antikythera

That is, the faculty of recollection and foresight? Until recently, I would argue, our planet was amnesiac. That is, no part of it was reflectively aware of the place of the present relative to the established past nor the expected future. But then peculiar animals emerged, capable—no matter how imperfectly—of cooperation, abstraction and invention. In the last blink of geologic time, through the collaboration of these animals with their increasingly cunning artifacts, this state of planetary amnesia has faltering begun being cured. That is, through our artifacts, our planet is becoming aware of its own unfolding biography. In our fallible attempts to model our world—alongside our growing legion of sensors—The Earth system has developed a way of recollecting its deepest past and tracking the changing complexities of its present so as to forecast its furthest future.

The Self-Evidencing Agent: Mind, Existence, and Predictive Processing

How the concept of self-evidencing offers a philosophical principle for understanding mind and behavior, consciousness, value, wisdom, and meaning.What is

Functional Information: Towards Synthesis of Biosemiotics and Cybernetics

Biosemiotics and cybernetics are closely related, yet they are separated by the boundary between life and non-life: biosemiotics is focused on living organisms, whereas cybernetics is applied mostly to non-living artificial devices. However, both classes of systems are agents that perform functions necessary for reaching their goals. I propose to shift the focus of biosemiotics from living organisms to agents in general, which all belong to a pragmasphere or functional universe. Agents should be considered in the context of their hierarchy and origin because their semiosis can be inherited or induced by higher-level agents. To preserve and disseminate their functions, agents use functional information - a set of signs that encode and control their functions. It includes stable memory signs, transient messengers, and natural signs. The origin and evolution of functional information is discussed in terms of transitions between vegetative, animal, and social levels of semiosis, defined by Kull. Vegetative semiosis differs substantially from higher levels of semiosis, because signs are recognized and interpreted via direct code-based matching and are not associated with ideal representations of objects. Thus, I consider a separate classification of signs at the vegetative level that includes proto-icons, proto-indexes, and proto-symbols. Animal and social semiosis are based on classification, and modeling of objects, which represent the knowledge of agents about their body (Innenwelt) and environment (Umwelt).

Harnessing Chaos: How the Brain Turns Randomness into Robust Memory | Columbia Engineering

AI systems reveal how random fluctuations in brain activity may help stabilize memories

Goals Garden - Goals and Habit Tracker on ATProto

Track your daily goals and habits. Build streaks, stay consistent, and achieve your goals!

Co-Creation: Systems Thinking Beyond the Machine

Complexity thinking is all the rage — in the arts and sciences. Yet, there are two different strands of thinking about complexity, which are often confounded. The first comes from cybernetics, focussing on control in complex situations. The second is ecological, aiming at sustainable participation in a reality beyond control. Their difference rests on a fundamental distinction: is complexity rooted in feedback regulation or collective co-creation? While feedback remains mechanistic, co-creation generates new spaces of possibilities. We need it to understand life and its evolution. And it empowers us to rewrite our future, to escape our mechanistic cage without abandoning scientific rigor. In this paper, we illustrate how we implement these powerful yet abstract principles through our artistic and philosophical practice.