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The Commons
Joined June 2022
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Factories that switched to electricity got almost nothing out of it for decades. The payoff came once plants were rebuilt with a motor at every machine.
In Science, @profjamesevans and @glenweyl argue our institutions are at that same point with AI.
science.org/doi/10.1126/scie…
Good morning from London! ☀️
FtC’s Kim Buisson is at #TC2026 today, in conversations on public interest AI and who it serves.
She’ll also be at the London AO Summit (@ARIA_research × AO Commons), focused on how autonomous organizations should be run & governed.
Come say hi!
We’ve started a FtC community on Cuties, a social app built around communities and the people who vouch for each other inside them.
We’re excited to experiment and see whether it helps our network find each other! Come say hi 👇
cuties.app/community/funding…
This October we ran our first program in El Salvador.
Open digital infrastructure is often funded to launch and rarely to last, so we brought four founding teams to San Salvador for six days to work on what keeps it running. 🧵
Anthropic is putting 5% of its shares into a new public benefit fund, worth around $100B if its IPO goes as expected.
AI money like this is expected to chase measurable impact, a hard standard for open-source software and research.
axios.com/2026/10/19/silicon…
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.
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/…
We won’t always agree. We won’t always get it right. But we can keep deciding together what matters, and act on it.
A thought from @mdennedy_ for builders.
youtube.com/watch?v=gLI36_XP…
Does AI have to end up in a few hands?
@TheDRC_ asked the people building the alternatives, 36 of them, and walked the whole stack to find out. In two places, yes, for now. Everywhere else, no.
thedrcenter.org/research/alt…
We’ll be at @foresightinst’s Vision Weekend in SF, Nov 13–15, running office hours.
About 300 researchers and founders in AI, neurotech, longevity, and space, in a room with the people who fund them, plus a full track on new ways to fund that work. 🌐
foresight.org/events/vision-…
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 contact@fundingthecommons.io.
More on the Forum: fundingthecommons.io/events/…
The more memory we hand to machines, the more the human kind needs keeping.
Stephan Zimmerli's Studiolo of Exile does that in charcoal, drawn live from the memories of people who had to leave home.
One of our favorite art activations at FtC.
youtube.com/watch?v=HRj-o1J5…
The people who saw AI coming built labs, benchmarks and safety teams. What they haven't built yet: the schools, courts, funds, and markets for the world those labs are making.
@chalmermagne and @lawhsw for @cosmos_inst on getting started.
blog.cosmos-institute.org/p/…
If who controls a technology is what matters, then sharing control is the work. And sharing control means governance.
@lizbarry of @metagov_project on why that is a thing people do, not a thing you install.
youtube.com/watch?v=mvHNsFkX…
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
What do you actually want from AI?
Most people have never been asked. @luke_drago_ says answer it anyway, then go tell someone who can act on it. Your representative, the labs, your community.
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Intelligence only becomes useful when it meets real problems, and real problems live with the people who work on them every day.
So the leverage in the AI economy is more widely held than it looks. @mentalgeorge on @80000Hours makes the case.
80000hours.org/podcast/episo…
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Some of you have told us the best Funding the Commons events were the ones with no venue at all: the virtual editions.
We're thinking about bringing one back. Would you show up?
81%Yes, I'd be there!
4%Yes, if it's one day max
4%Depends on the lineup
12%I prefer in-person events
26 votes • Final results 1
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The smarter machines get, the harder part becomes agreeing on what they should do, and who gets a say.
@emiyazono on why the fixes look a lot like checks and balances, written for AI.
youtube.com/watch?v=wMr2h4LA…
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We've extended applications for the El Salvador Fellowship to Friday, September 18!
Four founders, six days in San Salvador.
Apply (ENG): forms.gle/CAV1QfhnsghPXdq98
Aplicar (ESP): forms.gle/3h6yXkeYWXzCoPrp6















