On David Hoffman’s writings, Etherealize’s Productive Money report, and Dankrad Feist’s proposal — May 2026.
The Pedagogical Silence
For several months now, the Ethereum ecosystem has been moving through what looks like its most significant institutional crisis since the years following its launch. Several senior researchers have left the Ethereum Foundation. David Hoffman, after six years of defending the thesis that ETH could become a form of money, sold his entire position and published an essay explaining why that outcome had always been more uncertain than it appeared. Etherealize, the organization tasked with presenting Ethereum to institutional investors, released almost simultaneously a report assigning a potential valuation of $250,000 to ETH. A few weeks later, Dankrad Feist proposed creating an organization endowed with at least one billion dollars in ETH and explicitly dedicated to defending the asset’s economic interests.
Throughout this period, DeFi’s educational layer carried on largely unchanged. Tutorials kept teaching the same routines. Dashboards displayed the same metrics. Points programs fed the same leaderboards. Videos continued explaining how to deposit, bridge, stake, or optimize yield. The ecosystem’s teaching infrastructure maintained its own tempo even as some of the institutions underpinning it were actively redefining themselves.
This gap deserves attention. Not because it reveals manipulation or bad faith, but because it makes visible a deeper characteristic of the ecosystem. DeFi’s educational layer operates largely independently of the institutional, political, and organizational questions that make these systems possible. It has its own vocabulary, its own objects of attention, and its own priorities.
I write from outside the ecosystem’s technical professions. My interest lies less in the cryptographic properties of protocols than in the forms of knowledge that surround them. This text therefore approaches pedagogy as a political object. My central hypothesis is straightforward: DeFi has developed a teaching layer that is highly effective at showing users how to operate within the system, and far less developed when it comes to understanding the structures that sustain it. This asymmetry extends well beyond the individual user. It concerns the production and maintenance of the cognitive commons on which every open ecosystem depends: independent pedagogy, critical research, public methodologies, evaluation standards, and infrastructures of legibility.
The current Ethereum sequence offers a rare opportunity to observe these questions in plain view.
Pedagogy as Infrastructure
Learning DeFi in 2026 rarely begins with a white paper. Entry into the ecosystem usually takes place through a stream of short, action-oriented formats: threads, dashboards, onboarding videos, Spaces, newsletters, interfaces, and AI assistants. Understanding often begins with what a protocol allows someone to do, long before it reaches the principles that organize it.
There is nothing unusual about this in itself. Every technology generates its own intermediaries. What distinguishes DeFi is the proximity between those who build the systems and those who produce the narratives through which those systems become intelligible. Protocols, funds, foundations, data providers, specialized creators, and ambassador programs all participate simultaneously in building products, distributing them, and explaining them.
Economist Jézabel Couppey-Soubeyran makes a point about traditional financial education that applies here with equal force: all pedagogy functions like a pair of glasses. It makes certain things visible and others less visible. It ranks problems. It determines which questions appear important.
In most fields, those selections encounter relatively stable forms of counter-discourse. Academic publications, specialized journalism, regulatory authorities, and various critical traditions provide places where dominant narratives can be examined, challenged, or corrected.
DeFi still has relatively few such spaces. It possesses a rich educational output but a much thinner capacity for counter-pedagogy. The ecosystem produces an abundance of material explaining how protocols work. Institutions capable of examining the assumptions, narratives, and blind spots embedded in those materials remain comparatively rare.
The issue is therefore not one of biased pedagogy versus neutral pedagogy. No genuinely neutral pedagogy exists. The issue concerns the balance between pedagogy and counter-pedagogy within an environment that is still taking shape.
What DeFi Claimed to Be
To understand what is at stake, we must return to the ecosystem’s founding promises.
The foundational texts of the cypherpunk movement, the early work on distributed digital currencies, the Ethereum white paper, and the earliest MakerDAO documents sketch a relatively coherent horizon. The themes vary, but certain motifs recur consistently: sovereignty, censorship resistance, disintermediation, the right to exit, open coordination, and unconditional access.
These principles had an obvious individual dimension. They also carried a collective dimension that receives less attention today. Open infrastructures were conceived as commons: systems owned by no one in particular and accessible to all under shared rules.
This collective dimension deserves to be recalled, because it illuminates a tension that has become central. An open infrastructure does not depend solely on its code. It also depends on everything that allows it to be understood, evaluated, contested, and maintained over time. Technical commons require cognitive commons.
An entire tradition of critical thought has shown how contemporary capitalism absorbs the criticisms directed at it: it appropriates the values of protest — autonomy, horizontality, creativity — and converts them into management tools, frequently reintegrated into the very arrangements they originally contested.
The trajectory of many crypto concepts at times resembles this movement. Sovereignty becomes a product proposition. Disintermediation becomes a marketing argument. Censorship resistance becomes one technical feature among many. The vocabulary remains. Its institutional anchoring gradually shifts.
This evolution does not necessarily amount to a betrayal. It frequently accompanies the ordinary growth of systems. The question that follows becomes one of institutions — which institutions are able to preserve, document, and discuss the original promises as the logics of economic development take up increasing space.
The Production of Legibility
This question comes into especially sharp focus when we turn to the legibility of the ecosystem.
A blockchain is often described as transparent because its transactions are public and verifiable. This transparency is indeed a remarkable property. It does not, by itself, produce understanding.
Identifying the actors behind certain wallets, reconstructing dependencies between protocols, tracking capital flows, analyzing governance structures, or documenting relationships between entities all require continuous work of attribution, contextualization, and maintenance.
A growing share of this activity now rests on specialized firms capable of aggregating and interpreting such data at scale. The data remains public. The capacity to turn it into usable knowledge gradually becomes a product.
This evolution is perfectly understandable from an economic standpoint. Producing legibility is real work. Maintaining attribution databases, developing consistent methodologies, and building investigative tools all demand substantial resources.
It nevertheless reveals that part of decentralization now plays out in layers far less visible than the protocols themselves: standards of interpretation, research infrastructures, public methodologies, analytical tools, and access to investigative capacity.
Initiatives such as DeFiScan and L2BEAT occupy a distinctive position within this landscape. Their contribution lies not merely in publishing data. It lies in making explicit the criteria they use to evaluate the systems they observe. They produce methodologies that are contestable, revisable, and public.
In other words, they participate in building a cognitive commons.
The Ethereum Crisis as a Revealer
The recent debates surrounding David Hoffman, Etherealize, and Dankrad Feist allow us to reread this question through an institutional lens.
David Hoffman’s case is particularly instructive because it belongs neither to scandal nor to contradiction. For several years he embodied one of the principal pedagogical figures of the “ETH is money” thesis. His change of position does not reveal an individual error. Rather, it brings into focus the structural proximity between economic position, knowledge production, and narrative diffusion within the ecosystem.
Etherealize’s Productive Money report raises a comparable question at a different scale. The document draws on academic references, economic arguments, and sophisticated valuation models to defend a thesis favorable to ETH. Its declared purpose is precisely to promote Ethereum to institutional investors.
There is no legitimacy issue here. Etherealize is fulfilling the mission for which the organization was created. What it illustrates is the growing difficulty of distinguishing pedagogy, research, and promotion when these activities are produced by the same institutions.
Dankrad Feist’s proposal adds a third piece to the puzzle. His diagnosis rests on a straightforward observation: Ethereum currently lacks institutions sufficiently aligned with the economic interests of its principal asset. His response is to propose an organization dedicated to that function.
Vitalik Buterin responds almost by inverting the problem. In his reading, the Ethereum Foundation was never meant to become the center of the system. Its relative retreat belongs to a normal process of decentralization. The missing structures should emerge gradually around the protocol.
The tension between these two positions extends well beyond Ethereum. It raises a more general question: what actually emerges when an open infrastructure leaves room for self-organization?
Recent experience suggests a partial answer. Layers with an identifiable economic model emerge rapidly: defense of the asset, data infrastructures, analytical tools, financial products, growth machinery. Cognitive commons follow a far slower rhythm. Their collective value is high; their economic model often remains fragile.
Funding the Cognitive Commons
This situation does not represent a specific failure of Ethereum. It describes a recurring difficulty faced by open infrastructures.
Market mechanisms excel at funding what directly captures identifiable value. They struggle considerably more with funding the collective conditions that make that value possible in the first place.
Tools for addressing this problem already exist. Quadratic funding, retroactive public goods funding, community endowments, and dedicated funds are all mechanisms that have been tested over recent years.
The TheDAO Security Fund initiative offers a particularly compelling example. Assets left unused since the TheDAO hack were redirected to fund the security of the Ethereum ecosystem through community mechanisms. The experiment demonstrates that the sustainable funding of a technical commons can be organized.
The question that remains open concerns the cognitive commons. Who funds independent legibility? Who funds public methodologies? Who funds the critical frameworks needed to evaluate protocols? Who funds the forms of pedagogy whose purpose is precisely to examine dominant narratives rather than disseminate them?
Some answers already exist. Gitcoin, Giveth, Optimism, L2BEAT, DeFiScan, and several academic research initiatives occupy important positions in this space. Their existence reminds us that part of the ecosystem already acknowledges the need to fund collective goods.
The subject nevertheless remains largely open. The tools exist. The mechanisms exist. The needs are being identified with increasing precision. The institutions willing to make this a priority are still few.
What the Current Sequence Reveals
The crisis Ethereum is currently navigating is probably not solely about the valuation of an asset, the governance of a foundation, or the strategy of an ecosystem.
It makes visible a quieter question: that of the cognitive infrastructures on which any open infrastructure depends.
Pedagogy, independent research, public methodologies, tools of legibility, and evaluation standards are not peripheral activities. They contribute directly to a system’s capacity to remain intelligible for the people who use it.
Technical commons have held a central place in the blockchain imagination for over a decade. Cognitive commons have received far less attention, even though they condition the very possibility of understanding, evaluating, and at times contesting these systems.
The stakes extend well beyond Ethereum. Every new open infrastructure encounters, sooner or later, the same question: who funds the layers of interpretation through which it becomes intelligible?
The answer probably does not lie with the market alone, with a foundation alone, or with a handful of particularly motivated individuals. It lies with an ecosystem’s capacity to treat the production of knowledge as a common good in its own right.
It is perhaps from this angle that the current sequence becomes most revealing. It does not merely expose the fragilities of a protocol. It reminds us that no technical commons remains open over time without institutions capable of maintaining the cognitive commons that give it meaning.
Sources
- David Hoffman, ETH is money was always a longshot, Bankless, May 26, 2026 — bankless.com
- Mike McGuiness, Ethereum and the Era of Productive Money, Etherealize, April 2026 — productivemoney.org. Presented on Bankless by Vivek Raman and Danny Ryan, Etherealize co-founders — bankless.com
- Dankrad Feist, proposal for a dedicated organization to defend ETH’s economic interests, X, May 21, 2026 — x.com/dankrad