Exploring the funding and governance of nature’s commons. Incubated by @FilecoinGreen @ProtocolLabs. 🌎

Joined April 2023
仁, the Chinese character for humaneness, is made of a person and the number two. Our humanity lives between people, not inside our heads. Worth remembering as we build what comes next.
Arnaud Bertrand
@RnaudBertrandOct 20
This is perhaps one of the great ironies of our time: China is increasingly shaping the future of AI, yet very few people in the West have the faintest idea how its key thinkers see it - its philosophers, sociologists or ethicists. As is too often the case, we - much like the frog in the well - assume our own AI debate covers every possible view, when much of it springs from the same cultural soil, built on assumptions about what defines us that we don’t even know we’re making. Take for instance the assumption that intelligence is a key part of what makes us human. It’s so intuitively obvious to us that we literally named our species after it - Homo sapiens (Latin for "wise man"). If you think about it, just this assumption explains a large share of the anxiety: if intelligence is what makes us human, then artificial intelligence - or super intelligence - threatens the very thing that makes us us: we’re about to compete with artificial or super “us”. No wonder this feels existential. But China has a tradition of thought as old as ours, if not older, and every bit as rich and sophisticated, which never placed intelligence at the core of what makes us human, and so meets the thinking machine from a completely different starting point. Have you, for instance, ever heard of Zhao Tingyang? Probably not, and yet he may be the most original thinker on AI you’ve never read. He’s one of China’s most prominent philosophers, at the Chinese Academy of Social Sciences. While Silicon Valley spends billions trying to make AI share our values, he for one argues that doing so “may very well be a suicidal mistake”. Sounds pretty important to hear him out, don’t you think? Or take Liu Yongmou, a philosopher of technology at Renmin University in Beijing. His thinking is almost the opposite of ours. Where we fear machines that become more and more like us, he says that “humanity’s biggest problem is the machinization of humans, not the humanization of machines.” You could even go back to antiquity, when, in many ways, we started asking questions about AI. Did you know, for instance, that Aristotle, in the Politics, imagined a world where “the shuttle would weave and the plectrum touch the lyre without a hand to guide them”, and wondered about the social order consequences of this (mostly whether slaves would still be needed)? There are Chinese equivalents to this. For instance, in the Zhuangzi, a foundational Taoist classic, you’ll find a similar thought experiment, with a completely different worry attached. An old gardener is watering his vegetables by hand, hauling water out of a well jar by jar. A visitor shows him a labor-saving device, and the gardener turns it down for the reason that whoever uses machines ends up with 机心 (jīxīn), a “machine-heart” - a mind that schemes, calculates and loses its simplicity. “It is not that I do not know [the machine],” he says, “but I should be ashamed to use it.” Two labor-saving machines, two very different questions: where Aristotle wondered what automation would do to the social order, the Zhuangzi wondered what it would do to us, on the inside. Which, you’ll notice, is exactly Liu Yongmou’s worry, more than two thousand years earlier. In fact, as we’ll see, 心 (xīn), the heart, is a motif that runs deep through the Chinese AI debate. It appears both in the fear, from Zhuangzi to Liu Yongmou, that machines could give us a “machine-heart” and its mirror image: the ambition to give machines a heart of their own. Zhu Songchun, who heads the Beijing Institute for General Artificial Intelligence, wants “to set a heart for machines” (为机器立心, wèi jīqì lì xīn). “Heart” in the Chinese sense, that is, which differs totally from the Valentine's Day fluff we’ve reduced it to. 心 (xīn) means heart and mind at once: it’s where we feel but also where we think, tell right from wrong and care for others. And, crucially, it’s in the heart that the quality Confucianism sees as the very definition of a human being takes root: 仁 (rén). We need two words to translate it, “benevolence” and “humaneness”, but in Chinese they’re one and the same: to be benevolent is to be human. It’s not about intelligence. This is the entire point of my new article: to step out of our well for a moment and peer over the edge of China's. What you’ll find there will, I think, surprise you, with questions you’d never thought to ask: from Zhao Tingyang warning that AI’s bad consequences can at least be fought, but that “humanity may die of all the good things AI creates”, to whether the fear that AI will make us “useless” rests on the false premise that a person is worth what they’re useful for. A premise that a 2,300-year-old Taoist tree, which survived precisely because it was useless, demolished long ago. Could our predicted uselessness turn out, much like that tree’s, to be our saving grace? Chinese thinkers’ answers to these questions are, I think, among the most interesting anyone has given to the defining question of our time. Whether or not you agree with them, they’re the intellectual backdrop of a country shaping much of AI, and with it our future: you might as well know what they think. Enjoy the read here: arnaudbertrand.substack.com/…
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Most AI is extractive: huge energy demands, surveillance, enclosed Indigenous knowledge. Can any of it serve ecological regeneration? @BioFiProject is hosting a deep dive on that, with Planet Labs, @regen_network, and @GainForestNow. Nov 3, online. 🌱 luma.com/8b1alxju?tk=M9PW6K
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Thank you to everyone who has registered, applied to speak, and shared the Funding the Commons Forum in San Francisco so far. We've moved it to March 13–14, 2027. It was a tough call, but we need more time to make the Forum what we know it needs to be for the question at its heart: what public goods, shared infrastructure, and institutions look like in the age of AI. If you've wanted to speak, partner, or curate with us, there's now more room to do that, so please reach out at [email protected]. More on the Forum: fundingthecommons.io/events/…
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What changes when climate insurance is built directly into a loan? In this episode of @Crypto_Altruism, our pilot partners break down what it actually takes to embed climate risk into credit, and what that unlocked for borrowers previously considered too risky. Listen: 🎧⬇️🎧
Climate shocks can create credit shocks for small businesses in vulnerable areas, & insurance is often out of reach ⛈️📉 In Ep 267 we explore how blockchain-based parametric insurance can help w/ @blockbima @Fortunecreditld @shambanetwork & RiskShield🎙️ cryptoaltruists.com/blog/cry… We discuss: 🌍 Their pilot in Kenya, supported by @MCSocialVenture, where climate insurance is embedded directly into microloans to help absorb credit shocks 🌧️ How blockchain is helping last-mile communities build financial and climate resilience, reaching people the traditional system has left behind 💡 How parametric insurance reduces the time and cost needed to deliver support to those impacted by climate shocks ⛓️ How blockchain-powered smart contracts and oracles are transforming traditional insurance into something cheaper, faster, and more people-friendly
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Our San Francisco Forum starts from a simple idea: the questions AI raises don't belong to one field, so the answers can't come from one either. Will you join us? 👇 Apply to speak: forms.gle/XmsYbz2W5YNPZvyP7 Register: luma.com/ftcforum-sf-2026
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Evolution doesn't select the most efficient organism; it selects the most robust. Biologist Olivier Hamant on why our hyper-optimized systems are fragile, and what robustness looks like instead. The Great Simplification w/ @NJHagens. youtube.com/watch?v=Kzzr15cE…
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Early-bird tickets to the Funding the Commons Forum close this Sunday. On November 7-8, two hundred people gather in San Francisco to ask whether abundant intelligence ends up widely shared or narrowly held. Join us. 👇 luma.com/ftcforum-sf-2026
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Who's doing the most interesting work on the future of AI right now? Tag someone who should be in this room, in the Bay Area and beyond. 👇
If intelligence becomes abundant, what becomes precious? Come think it through with 200 researchers, builders, and funders in San Francisco this November. Talks, panels, fishbowls, and formats you invent. Apply to speak: forms.gle/ZVHNAgrA4UAjht5P9
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This year, Nvidia became worth more than Germany's entire economy. A few companies now hold more capital, compute, and reach than most countries. That means the decisions that used to belong to public institutions increasingly happen inside private ones: what rules a model follows, what billions of people see, which technologies get built next. But they answer to shareholders, not the public. Once our world runs on these systems, that setup is much harder to unwind, while the usual check, regulation, has been lagging behind. How did we solve for this before? Earlier eras built institutions to hold it: antitrust, public utilities, oversight. The AI age needs its own institutions, so answerability can be built into the systems. Think shared infrastructure, open models no single company holds, tools to audit them, and funding for public goods. Building that is our next frontier. On November 7 and 8, the Funding the Commons Forum brings two hundred researchers, engineers, policymakers, funders, and citizens to San Francisco to work on how power this large stays answerable. If you're building the models, mechanisms, or institutions this takes, come. Early-bird tickets close September 6. Join us: luma.com/ftcforum-sf-2026 Apply to speak: forms.gle/XmsYbz2W5YNPZvyP7
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If intelligence becomes abundant, what becomes precious? Come think it through with 200 researchers, builders, and funders in San Francisco this November. Talks, panels, fishbowls, and formats you invent. Apply to speak: forms.gle/ZVHNAgrA4UAjht5P9
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Finance is the biggest lever we have, and right now it is aimed at stripping the very systems all wealth depends on. Pointing it at regeneration instead is how a livable economy gets funded. re-generation.cc/en/longread…
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Will abundant intelligence become the widest shared inheritance in history, or the narrowest concentration of power ever assembled? On November 7-8, the Funding the Commons Forum comes to San Francisco. 200 researchers, engineers, policymakers, and funders, gathering to shape the answer.
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EarthCommons retweeted
What a day in Zurich with @protocollabs_rd @FundingCommons and @ETH_AI_Center ! 🌱 On Wednesday we hosted our workshop on "Decision Sovereignty for Nature" and I'm still processing all the great conversations. Starting with a beautiful and engaging hike to Uetliberg, followed by intense and some of the best discussions ever at the ETH AI Center and a gorgeous dinner at sunset at the lake at AMERON. A huge thank you to everyone who joined us. Researchers, practitioners, funders and policy folks all in one room, wrestling with a hard question: who gets to decide for nature, and how can AI help without taking that decision power away from the communities and ecosystems it affects? The input was honest, sharp and generous. Together we are shaping the first draft of a declaration on decision sovereignty for nature, and that document only exists because of what each of you brought to the table. This is just the start. We'll carry the declaration forward to our next workshop at Columbia University in New York Climate Week, and ultimately to the UN Biodiversity COP17 in Armenia and COP31 in Turkey. Step by step, we want to turn Wednesday's ideas into something the world can actually use. If you were in the room: thank you. If you want to be part of what comes next: reach out, we'd love to have you. More soon on ai4pg.com 🌍 Thank you @milliechapma Kim and La Christa for co-organizing this event! With many friends such as @GainForestNow @GlowFND @humntech @hypercerts @maearthstudio @SimplexDNA and more
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In Zurich? Join us on Wednesday to put decision sovereignty for nature on paper 👇
Who decides how nature is valued and governed, when the deciding is done by AI built far from the ecosystems it affects? On July 22, we're hosting a workshop with @protocollabs at @ETH_AI_Center in Zurich to draft a joint declaration before COP17. luma.com/protocol-by21
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The systems we're building this decade will carry assumptions about human nature for a very long time. The question is whose. @Pericarus makes the case for Elinor Ostrom's 👇
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Who decides how nature is valued and governed, when the deciding is done by AI built far from the ecosystems it affects? On July 22, we're hosting a workshop with @protocollabs at @ETH_AI_Center in Zurich to draft a joint declaration before COP17. luma.com/protocol-by21
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EarthCommons retweeted
Climate Innovation and Impact Projects on Epoch 12 xitter.cf/i/broadcasts/1DxLddMmP…
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Our new governance report is live. We gave six communities money, total freedom, and an AI that could spend it for them, then watched how they chose to govern. A field study in AI-assisted governance, with @protocollabs @GainForestNow @OctantApp @hypercerts 👇
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If you want to go fast, go alone. If you want to go far, fund the commons.
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Thanks to @maearthstudio for joining us for today's town hall! 🌱 A great session with @SophiaRokhlin & @bitbeckers on funding ecological regeneration and the open stack making it possible. Community donations for their next round open July 1, with a $500K matching pool.🙌
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