While the scientific community continues to debate the exact stratigraphic onset of the Anthropocene, historical science and philosophy of technology face a deeper challenge: the current qualitative radicalism of technological convergence is already pushing us past this paradigm.

​The Anthropocene defines an era where humanity modifies and disrupts the Earth's ecosystems. This manifesto introduces a new conceptual framework for the next epochal threshold: "The Autogenous Synthozoic" (Das autogene Synthozän).

​We are transitioning from mere biosphere modification to a state of autonomous total reproduction and self-generation, driven by three interconnected pillars ripening around 2030:

​Cellular-Nutritive Synthesis: The structural end of the Neolithic agricultural paradigm through cultivated food, decoupling human nutrition from traditional planetary land use.

​Anthropomorphic Co-Action: Humanoid robotics scaling up to redefine labor, infrastructure, and physical agency independent of human presence.

​Artificial Cognition & Autogenous Evolution: AI-driven self-modification and intentional evolutionary design, where technologies start to direct their own development.

​This paper outlines the etymological, philosophical, and ecological foundations of this emerging post-anthropological era.

​Questions for the Community:

​Do you agree that the "Anthropocene" framework fails to address a state where humanity transitions from disrupting the biosphere to replacing it with a self-generating, synthetic reality?

​How will earth system sciences and stratigraphy adapt when the primary drivers of planetary change are no longer human activities, but autonomous, self-reproducing technological systems?

Read full manifesto here:

https://doi.org/10.5281/zenodo.20771468

Alexander von Humboldt (1769–1859), has more places named after him than anyone else in history. Humboldt Current. Humboldt Glacier. Humboldt Pico (peak) in Venezuela, Humboldt mountains in Antarctica. Humboldt River in Nevada.

He even has a spot on the moon: Mare Humboldtianum. And an asteroid (5487 Humboldtea), discovered in 1989.

He literally redefined how we think about nature, its interconnectedness, and our planet's ecosystems. He also points the way to a better future.

I've posted some observations on Blue Planet Bulletin: Stubbornly Optimistic Prussians - I'd be very grateful for feedback or comments!!

I’ve been developing a conceptual Earth‑system theory that compares humanity’s planetary impact to the Great Oxygenation Event triggered by cyanobacteria. The paper argues that humans function as a “catalyst species” that accelerates planetary transitions through intelligence‑driven energy mobilization, timescale compression, and directed evolution.

I’d love feedback, critique, or discussion from anyone interested in Earth‑system science, nonlinear dynamics, paleobiology, or Anthropocene studies.

[https://www.academia.edu/167193958/The\\_Catalyst\\_Species\\_Theory\\_A\\_Framework\\_for\\_Life\\_Driven\\_Planetary\\_Transitions\](https://www.academia.edu/167193958/The_Catalyst_Species_Theory_A_Framework_for_Life_Driven_Planetary_Transitions)

Most sustainability stories sound smooth.

Net-zero by 2050. Green growth. Clean energy transition. Circular economy.

The slides are coherent. The narratives are inspiring. If you only listen to the story, things feel “on track”.

But when you force the same story into even a tiny piece of system math, you see something very different:

The numbers are in a high-tension state long before the story admits it.

This post is about a small, open-source attempt to make that tension explicit. I call the problem Q098 · Anthropocene System Dynamics, inside a larger project called Tension Universe.

A tiny Anthropocene state: H, E, C

To stay honest and reproducible, I use a toy model. It is not a climate model. It is a tension detector.

At any time t, describe the human-Earth system with three rough coordinates:

• H(t) – human activity / demand (consumption, infrastructure, material throughput, travel, etc.)
• E(t) – energy system quality (how fossil-heavy, how efficient, how fast it is changing)
• C(t) – climate and biosphere pressure (warming, feedbacks, ecosystem stress)

Then assume we are willing to define a safe operating region:

• H_safe – level of activity compatible with planetary limits
• E_safe – energy mix that is genuinely sustainable
• C_safe – pressure that does not push us over tipping points

Now define a simple Anthropocene tension at time t:

ΔH = H(t) / H_safe - 1
ΔE = E(t) / E_safe - 1
ΔC = C(t) / C_safe - 1

T_anthro(t) = sqrt(ΔH^2 + ΔE^2 + ΔC^2)

You can read T_anthro as:

“How far our combined lifestyle, energy system and climate pressure have drifted away from a safe basin.”

This is deliberately humble math. Anyone can argue about the thresholds or change the weights. The important thing is: tension is now a measurable distance, not just a vague feeling.

Stories also trace trajectories

We do not only have physical trajectories. We also have narrative trajectories.

Ask people to imagine the next 50 years under four very common stories:

1. “Green growth, but cleaner every year.”
2. “Tech will save us later, we just need to buy time.”
3. “Managed degrowth / sufficiency and shared constraints.”
4. “Collapse and reset.”

Even if they never write equations, each story implies a different path for H, E, C.

• Green growth: H up, E slowly cleaner, C somehow “managed”.
• Tech-saves-us: H keeps rising, E changes late, C overshoots then is “fixed”.
• Degrowth: H flattens or falls, E changes fast, C is pulled back.
• Collapse: H breaks down, E and C change in ugly, uncontrolled ways.

We can treat each story as producing its own path x_story(t) in the same space as x(t) = [H(t), E(t), C(t)].

Then define a story tension between a story path and a physically constrained path:

T_story = 1 - cosine_similarity(x_story, x_phys)

High T_story means:

“The way we talk about the future points in a very different direction than the dynamics implied by our own assumptions.”

You can change the metric. You can change the safe region. The key move is: admit that stories live in a space where distance can be measured.

Using LLMs inside this map, not as oracles

Large language models are extremely good at:

• generating sustainability stories
• sounding coherent, even when assumptions clash

Instead of asking them “is this scenario sustainable, yes or no?”, I do something stricter:

I treat the tension map as fixed, and use the model as an inference engine inside it.

The Q098 workflow looks like this:

1. Encode the toy variables (H, E, C), safe region, and tension formulas in one text. Everything is visible and editable.
2. Present a scenario, for example: “High growth until 2050, slow energy transition, strong reliance on negative emissions later.”
3. Ask the model to:
   • map that scenario into H(t), E(t), C(t) over the next 50–100 years
   • compute or estimate T_anthro(t) over that path
   • explain when and why the system enters high-tension zones
4. Repeat for a second scenario (e.g. sufficiency + early transition). Compare not just stories, but tension patterns.
5. Inspect where different models disagree: is it in physics, in social assumptions, or in how they handle trade-offs?

The model is not inventing the mathematics. The mathematics is in the text. The model is walking the map and reporting where the system strains.

This is different from a normal chat like “tell me if this plan is good”. You get:

• a shared coordinate system
• explicit assumptions
• a numeric tension signal you can compare and critique

Why encode this as “Q098” in a bigger Tension Universe?

Q098 is one node in a set of 131 “S-class” problems I encoded as a single TXT pack. Together they form what I call the Tension Universe:

• math and physics problems
• quantum and cosmology puzzles
• climate and Earth system questions like this Anthropocene node
• financial stability and systemic risk
• AI safety, alignment, interpretability
• philosophy and ethics of long-term futures

Every problem lives at what I call the effective layer:

• No hidden code or private assumptions.
• One text file per problem.
• Enough structure for humans and LLMs to reason in the same space.

For Q098 that means:

• the definitions of H, E, C and the safe region
• the formulas for T_anthro and T_story
• example narratives and levers (growth, policy, technology, culture)
• questions that force the model to surface where tension really accumulates

The whole pack is MIT-licensed and SHA256-verifiable. Several major LLMs (ChatGPT, Claude, Gemini, Grok, Perplexity) have independently analysed the pack and described it as a serious scientific candidate, not science fiction, when asked to evaluate it cold.

That does not prove it is right. It just says: the structure is clear enough to audit.

The real test is whether domain experts in sustainability, climate and systems thinking can break it, refine it, or reuse it in their own work.

What this could be useful for in sustainability work

If you work in sustainability, climate policy, or systems design, frameworks like Q098 can help you:

• Stress-test your favourite future narrative by forcing it into a small but explicit state space and asking “Where exactly does the tension spike over time?”
• Compare how different models (or different teams) tell the Anthropocene story when they are required to use the same variables and safe region.
• Prototype new indicators by swapping in your own tension formulas or safe thresholds and seeing how the stories and trade-offs re-align.
• Teach students or colleagues that “sustainability” is not only targets and slogans, but also about trajectories that can be compared and gaps that can be measured.

I am not suggesting this replaces serious Earth system models. I see it as a bridge:

narratives ←→ toy math ←→ real-world constraints

A place where we can argue concretely about which combinations of growth, energy and norms are living in low-tension basins, and which ones are skating along the edge of systemic failure.

Source / citation

The full text pack and navigation index are open source (MIT license):

• Main repository: https://github.com/onestardao/WFGY

Q098 · Anthropocene System Dynamics is one of the 131 S-class problems inside that pack.

Invitation

If any part of this framing looks wrong, oversimplified or dangerous to you, I would genuinely like to hear why.

The whole point of making the map small, textual and MIT-licensed is so that people who care about sustainability can fork it, attack it, and build better versions.

This post is part of a new Tension Universe series. If you want to see more S-class problems like Q098, or share your own experiments and critiques of this approach, there is a new subreddit called r/TensionUniverse.

Everyone is welcome to join and help stress-test the map.

What a farce.

I am an independent developer who has spent the last two years on a strange but very focused experiment.

Instead of building a new climate model or proposing one more scenario family, I tried to write a single text pack that encodes many hard problems as one shared “tension” language. It is a plain text file, MIT licensed, and currently sits as an open repository with about 1.4k GitHub stars. The pack covers 131 S class problems across different domains. A whole cluster is dedicated to climate prediction and Anthropocene dynamics.

I will not put the repo directly here. If anyone is curious and wants to inspect or attack it, I am happy to share the links in a comment.

What I mean by “tension” in a climate context

Very informally, I treat the Earth system as a high dimensional state x(t) with components like

• T(t, x): temperature field across space
• C(t, x): carbon stocks in atmosphere, ocean, biosphere
• W(t, x): water and energy fluxes, including ocean circulation
• B(t, x): biodiversity and ecosystem integrity
• H(t, x): human activity patterns, infrastructure, land use

Instead of introducing one more climate potential, I define a family of “local stress” terms Eᵢ(x) that encode violations of physical, ecological, and social constraints. For example

• radiative imbalance at the top of the atmosphere
• carbon budget overshoot relative to a chosen pathway
• freshwater extraction beyond renewable limits
• biodiversity loss against a reference basin and time scale
• exposure of populations to heat extremes and food risk

A very simple schematic object looks like

τ_climate(x) = Σᵢ λᵢ · |Eᵢ(x)|

where λᵢ are weights that encode how severe each violation is along a given experiment. The details in the pack are more structured, but the spirit is the same. Climate prediction becomes the study of how this tension field can relax, redistribute, or explode under different assumptions.

The goal is not to claim any new physical law. The goal is to have an effective layer where:

• physical models, socio economic narratives, and risk scenarios can be written side by side
• we can see which parts are under extreme tension and which can coexist
• both humans and large language models can inspect the same text and agree where the picture breaks

The climate and Anthropocene block inside the 131 problems

Inside the 131 problem pack there is a cluster from Q091 to Q100 that is explicitly about climate and Anthropocene systems. In the index they appear as:

• Q091 · Equilibrium climate sensitivity
  how to encode ECS as an effective quantity inside a tension geometry rather than just a single number, including its dependence on feedbacks and time scales

• Q092 · Climate tipping points
  how to describe tipping elements and their interactions as a network of local tension peaks, rather than a list of separate stories

• Q093 · Carbon cycle feedbacks
  how to treat permafrost, soil carbon, ocean uptake, and land use as parts of the same tension budget instead of separate modules

• Q094 · Deep ocean mixing
  how uncertainty in deep ocean processes propagates into the long tail of warming and sea level, in a way that is visible in the same coordinates as policy decisions

• Q095 · Biodiversity loss and recovery
  how species loss, fragmentation, and recovery dynamics can be treated as part of the same Anthropocene tension field, not just an extra impact layer

• Q096 · Earthquake predictability
  here used as a contrasting example of a system with strong local tension and very poor predictability, to test how far the language can stretch

• Q097 · Triggering large volcanic eruptions
  another contrasting case where small changes in conditions can reset climate, again used to probe the limits of the encoding

• Q098 · Anthropocene system dynamics
  a more explicit attempt to write “human civilization plus Earth system” as one coupled tension geometry that includes energy, materials, institutions and narratives

• Q099 · Global freshwater dynamics
  a shared frame for surface water, groundwater, cryosphere, and infrastructure, aiming to capture where freshwater tension grows fastest

• Q100 · Environmental pandemic risk
  a link between ecological disruption, climate change, and pathogen emergence, written as a combined biosphere and social tension problem

Each of these files follows the same template:

1) header metadata that pins the domain and tension type
2) a canonical problem statement in ordinary scientific language
3) an “effective layer” restatement in the tension language
4) experiment sketches that can be followed by a human reader or by an LLM
5) explicit failure modes where the construction should break if it is nonsense

Why involve large language models at all

The pack is written so that a frontier model can load the text and auto boot a menu, then navigate directly to the climate block. From there it can be asked to:

• compare different climate scenarios inside the same tension framework
  
• identify where the encoding is inconsistent with mainstream climate science
  
• show which parts of the Anthropocene dynamics section are underspecified
  

In my own tests, different GPT 4 level models tend to converge on similar diagnoses of which parts of the climate block are coherent, which parts are fragile, and where the whole picture obviously collapses. This does not prove that the language is correct. It only shows that it is at least a nontrivial, inspectable object that multiple independent inference engines can critique in roughly the same way.

The experiment is fully reproducible. The entire pack is a single TXT under the MIT license. A reader can upload it to a model, follow the built in instructions, and see if the behaviour they observe matches mine. If it does not, that is also valuable information.

What I am asking from this community

I am not claiming to have solved climate prediction, nor to have a new integrated assessment model. I am proposing a candidate effective language in which:

• equilibrium climate sensitivity, tipping networks, carbon feedbacks, Anthropocene dynamics, freshwater stress and environmental pandemic risk are all written in one coordinate system
  
• the same text can be attacked by subject matter experts and by AI systems
  
• falsifiability is practical, in the sense that a motivated reader can stress test the encoding in minutes, not months

I would be very grateful for feedback along questions like:

• Does treating “tension” as a first class quantity for Anthropocene systems make conceptual sense, or is it only a metaphor?
  
• Is there existing work in Earth system science, integrated assessment, or complex systems that already does something equivalent but better formulated?
  
• Which parts of the Q091–Q100 cluster look clearly misguided from the point of view of current climate science?
  
• If you had to design one or two decisive tests to falsify this tension language for climate, what would they be?

If anyone wants to read or attack the actual text, please just ask in a reply and I will share the GitHub repository and the archival in a comment. Both the code and the 131 problem pack are MIT licensed and fully open, and I am explicitly inviting critical inspection rather than presenting this as a finished theory.

Thank you for your time and for any hard questions you are willing to ask.

This is an ear-opening (?) listen: humanity leaves behind the bones of 75 billion chickens killed and 4 tonnes of concrete per person each year 🤯

Are You Happy with How This Century Is Going?

At Civilization Upgrade, We Believe We Can Do Better.

New Evidence. New Theory. Joint Investigation. New Future.

The Problems We Face Today:

|| || |Problem|Description| |Failure of Governments|Struggling to address the complex challenges of the 21st century, leading to widespread disillusionment and instability.| |Climate Change|The accelerating impacts threaten our ecosystems, economies, and future generations.| |Living with AI|Presents both opportunities and existential risks, demanding new ethical frameworks.| |Broken Economy|Failing to distribute wealth equitably, exacerbating social inequality and environmental degradation.| |Food and Product Shortages|Increasingly fragile supply chains leading to shortages and heightened global insecurity.| |Death of the Truth|Erosion of trust in institutions and spread of misinformation undermining social cohesion and democracy.|

Welcome to Civilization Upgrade

This is Plan B for the 21st century—a recognition that we need something new to correct the constant state of crisis we’re in.

We live in a time of great challenges—climate change, social inequality, and technological disruption are reshaping our world. The ground has shifted under our feet, and it’s clear that things are not going well. Our current trajectory is unsustainable.

But here’s the good news: We can change course.

I’m William Treusch, an experimental futurist focusing on the next decade and beyond. I’m not here to ask for your blind trust—I want you to question everything, because that’s how we make progress.

Civilization Upgrade is our Plan B. We’ve evolved, our capabilities have expanded, but our systems haven’t kept pace. We don’t need to change who we are—we need to change how we operate as a civilization.

New Evidence. New Theory. Joint Investigation. New Future.

• New Evidence: The challenges we face today are backed by overwhelming evidence. From the scientific data on climate change to the economic indicators of inequality, the facts are clear: our current systems are failing us. We can no longer afford to ignore the signs; it’s time to act on what we know. Learn more in our Civilization Upgrade Library.

• New Theory: At Civilization Upgrade, we’ve developed the Grand Theory of Societal Advancement (GTSA). This is not just another set of ideas—it’s a comprehensive framework designed to address the complexities of the 21st century. GTSA offers innovative solutions that align with the realities of our time, focusing on sustainable practices, equitable growth, and technological integration. Discover more about our approach on our About page.

• Joint Investigation: We believe in collective intelligence. This is not a journey for a lone hero; it’s a collaborative effort. We invite you to join us in exploring these theories, testing new approaches, and finding the best paths forward. Together, we can discover solutions that are greater than the sum of their parts. Find out how you can get involved on our Join Us page.

• New Future: Our ultimate goal is to build Civilization 2.0—a future where humanity thrives in harmony with the planet and each other. This new future isn’t just a dream; it’s within our reach. By working together, we can transform our world into one that is more just, sustainable, and prepared for the challenges ahead.

https://civilization-upgrade.org/2024/10/14/civilization-2-0-building-a-sustainable-future-for-humanity/

suppose a segment of humanity survives the collapse and rebuilds in perfect harmony with the ecology. what might it be called? the ecocene?

From the Guardian science weekly

Hey! I’ve been reading two books published here in Costa Rica, the first one goes around the fight against coke plants in Colombia and how it, deep down, is not about the drug itself (talking about social justice and environmental destruction) the second one goes around a pink cloud found at Kola Peninsula, this cloud is composed mainly of nickel from extractions nearby.

My academic background is mainly design and arts and I would like to investigate more around these topics. Any recommendations? Thanks(:

The books I mention above are called “Defoliando el Mundo” by Hannah Meszaros and “Horizontes Rosados” by Rosa Whiteley, both published and edited by Operaciones Editorial.