The Ethereum Foundation is Dead, The Era of Ethereum's Pluralistic Organizations Has Dawned

marsbitPublicado em 2026-07-10Última atualização em 2026-07-10

Resumo

The Ethereum Foundation (EF) has announced the dissolution of its Protocol Support Team, marking a significant organizational shift. This move, described as the largest layoff in EF's history with a 20% staff reduction, follows a major internal restructuring announced in late June. The restructuring, which EF framed as necessary to streamline for future challenges, has drawn criticism for its perceived cold execution. Concurrently, several new independent non-profit organizations have emerged, founded by former EF members. These include Ethlabs, a research and development lab, and Ethereum Institutional, which focuses on promoting institutional adoption of Ethereum. Their rise is seen as both filling roles vacated by EF's downsizing and signaling a fragmentation of the Ethereum ecosystem's leadership. Amidst these changes, EF is also integrating advanced AI tools into its security operations. The security team has begun using AI agents to conduct red-team testing, which has already uncovered vulnerabilities in Ethereum's code. While EF states that AI complements rather than replaces human researchers, this technological shift hints at potential future reductions in human-centric roles within the organization. The article posits that these developments—massive layoffs, the exodus of key personnel like former Executive Director Xiaowei Wang, the rise of rival organizations, and AI integration—collectively point to a decline in EF's central authority. Once the undisputed lead...

Original | Odaily Planet Daily (@OdailyChina)

Author | Wenser (@wenser 2010 )

Last night, the Ethereum Foundation's Protocol Support Team officially announced its dissolution. Prior to this, Wang Xiaowei, co-executive director of the Ethereum Foundation, who was seen as "one of the representative figures of the EF's organizational reform," had also officially resigned. So far this year, at least 8 senior personnel have left the Ethereum Foundation.

Alongside the organizational and personnel changes, there is the functional replacement and encroachment on the Ethereum Foundation's role by non-profit independent organizations such as ETHLabs and Ethereum Institutional; there is also the technical progress, like the EF's security team recently using AI agents for red team testing of the ETH network and discovering real vulnerabilities.

As ETH's price faces wave after wave of industry scrutiny, what lies before the Ethereum Foundation are the more complex and diverse contradictions and tests following its internal reform. Related to this is the divisive transformation that the leading body of Ethereum is directly confronting.

The Ethereum Foundation Enters an Era of Decline: The Rise of Multiple Contenders, Talent Drain, and the AI Transformation

The Ethereum Foundation (hereinafter referred to as EF) has long been criticized for its rigid structure, decision-making by a few, organizational value, and actions affecting market sentiment through token sales. Criticism of the EF within the Ethereum community is particularly fierce. Not long ago, Bankless founder David Hoffman even went so far as to "sell his final ETH holdings" to express his dissatisfaction with the EF, urging the Ethereum community to build the ecosystem in their own way.

Now, the formal dissolution of the EF's Protocol Support Team is like a thunderclap, fully exposing the internal contradictions and crisis of division within the EF organization to everyone. It is noteworthy that this round of organizational changes is particularly different from the organizational changes initiated by Ethereum founder Vitalik last year—this is a thorough personnel purge, also seen as 'the largest round of layoffs since the EF's establishment,' not merely changes among some leadership personnel as before.

When the Ethereum Ecosystem Leader Chooses to Sever Its Tail to Survive: The Course of EF's Major Layoffs

It all begins with the official announcement "New EF Structure" officially released by the EF on June 23.

In this lengthy article spanning thousands of words, the EF distinguished its new organizational structure into layers: Protocol, Access, User, Community, and Institutional. It later explained that "this organizational restructuring involves laying off 54 people, representing 20% of EF's membership." What feels even more disheartening is that the announcement begins by stating: "Through this process, we have obtained the structure, activities, and personnel necessary to execute the critical tasks we will soon face." In other words, the laid-off personnel and departments are considered obsolete, unnecessary, and without value.

It must be said that the EF, which has always presented itself as a research-oriented organization and an ecosystem leader with a scholarly demeanor, has for the first time revealed a冷酷 aspect of its organizational management.

Schematic diagram of the new EF structure

The Dissolution of the EF Protocol Support Department Becomes a Significant Marker of EF's Organizational Split

It is worth mentioning that the work of the EF Protocol Support Department leaned towards infrastructure construction, primarily responsible for coordinating the Ethereum protocol development process, including organizing and coordinating core developer meetings, tracking Ethereum network upgrades, supporting EIP progression, running the Ethereum protocol, etc. Now, its main functions have been allocated to the Protocol layer part of the EF.

Coinciding with the day the EF announced its new structure, Ethlabs, a non-profit R&D lab co-founded by 5 former EF researchers, was officially announced. This organization aims to promote Ethereum as the settlement layer for the global economy and has received support from a series of investment institutions, Ethereum ecosystem projects, independent individuals, and EF members, including Ethereum co-founder Joe Lubin (Chairman of Sharplink, founder of Consensys), ETH treasury company BitMine (Ethereum treasury company under Tom Lee), Sharplink, and crypto investment firm SNZ.

List of ETHLabs community participants (Source: Official account)

On July 1st, Ethereum Institutional, co-founded by former EF members David Walsh, Marius Smith, and Matthew Dawson, was officially unveiled.

This organization's main concept is "Ethereum's Institutional Finance Application Plan," dedicated to promoting the institutionalization and institutional-grade application of Ethereum, its secondary layers, applications, and the entire ecosystem. Simultaneously, the organization emphasizes its collaboration with Ethlabs, Etherealize, and the Enterprise Ethereum Alliance, responsible for institutional demand对接 and explaining Ethereum's value proposition to banks; Ethlabs focuses on translating related demands into technical products. As a non-profit independent institution, Ethereum Institutional will provide free consulting related to Ethereum applications for banks and asset management companies.

A week later, Ethereum Institutional announced the commencement of core team recruitment, focusing in the coming weeks on hiring for roles such as Institutional Business Development (Institutional GTM), Marketing & Community Operations, and technical positions like Solutions Architect, Technical Project Lead.

Thus, the EF layoff turmoil formally concluded with the emergence of two major non-profit independent organizations and the dissolution of the Protocol Support Department, also drawing an imperfect full stop to the "internal organizational transformation" personally pushed by Vitalik last year. Beyond the organizational-level split and the loss of top talent like Executive Director Wang Xiaowei, the EF also faces the impact of AI technology.

The Era of AI Attack and Defense Begins, Upgrades in EF Security Team Testing

Yesterday, researchers from the EF Protocol Security Team stated in a blog post that they have deployed a series of AI agents to test software dependencies within the Ethereum ecosystem, searching for vulnerabilities in cryptographic systems, protocol code, and smart contracts.

Vulnerabilities discovered by the AI agents include a remotely triggerable panic issue in the libp2p gossipsub peer-to-peer layer used by Ethereum consensus clients. This issue has been fixed and disclosed on Github as CVE-2026-34219.

Researchers stated that the AI agents were organized into specialized roles such as reconnaissance, searching, gap filling, and verification to find potential attack paths, reproduce failures, and verify their applicability to production code. The EF stated that AI has not replaced security researchers but has changed the way of working, enabling the team to cover a far greater scope than manual review, but requiring researchers to exercise more cautious judgment over a large number of seemingly credible conclusions.

Considering today's news of the official launch of the GPT 5.6 model, the future maintenance of Ethereum protocol security will likely be jointly handled by AI models and EF security researchers. Moreover, although the EF currently mentions that "AI has not replaced researchers," with the continuous development and evolution of AI models, personnel in the EF security team and even across the entire organizational structure may be further reduced in the future. In other words, the EF will also face the test of AI models on its organizational structure and the fulfillment of its functions.

Summary: The EF Organizational Reform Phase Concludes, Might It Become an Ecosystem Mascot in the Future?

In January of last year, we systematically analyzed the EF's organizational reform in the article "Vitalik Fires the First Shot of 'Reform', Where is the Ethereum Foundation Heading?" Back then, Vitalik was still ambitiously and forcefully pushing for EF organizational reform; in May of this year, after more than a year of organizational renewal, Vitalik surprisingly changed his tune, stating that "the Ethereum Foundation should not be the center of the ETH ecosystem and will shift towards a smaller, long-termist approach."

It must be said that as ETH has grown into an asset worth hundreds of billions, the EF, this official ecosystem organization established for nearly a decade, has also entered the awkward position of being "a large ship hard to turn." No wonder Vitalik previously declared—"will no longer write regular blog posts and has decided to try writing some science fiction on the topic of decentralized governance."

As former EF researcher and Ethlabs member Ansgar Dietrichs said earlier this month in a podcast, "After five years of failing to break through $5,000, ETH still lacks a clear value narrative."

Currently, it seems the EF can hardly shoulder the banner of "revitalizing the Ethereum ecosystem and driving a breakthrough in ETH's price." Future large-scale adoption and institutional-grade investment may have to be hoped for from organizations like ETHlabs, Ethereum Institutional, and Etherealize.

Perhaps, in the not-too-distant future, playing the role of an "ecosystem mascot" would be more suitable for the EF.

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Perguntas relacionadas

QWhat significant organizational change was announced by the Ethereum Foundation's Protocol Support Team, and what was its broader implication?

AThe Ethereum Foundation's Protocol Support Team announced its formal dissolution. This event is seen as a major indicator of internal conflict and a splitting crisis within the EF, marking one of its largest rounds of layoffs to date.

QAccording to the article, what are the names and primary goals of the two new non-profit independent organizations that emerged following the EF restructuring?

AThe two new organizations are Ethlabs and Ethereum Institutional. Ethlabs aims to promote Ethereum as a global economic settlement layer. Ethereum Institutional focuses on driving the institutionalization and enterprise-level application of Ethereum and its ecosystem.

QHow has the Ethereum Foundation's security team incorporated AI, and what was a key outcome of this integration?

AThe EF security team deployed a series of AI agents to test software relied upon by the Ethereum ecosystem, searching for vulnerabilities. A key outcome was the discovery of a remotely triggerable panic issue in the libp2p gossipsub library (CVE-2026-34219), which has since been patched.

QWhat shift in perspective did Vitalik Buterin reportedly express regarding the Ethereum Foundation's role, as mentioned in the article's conclusion?

AVitalik Buterin shifted from actively pushing for organizational reform to stating that the Ethereum Foundation should not be the center of the ETH ecosystem and should move towards a smaller, more long-termist approach. The article suggests he may even see a future where the EF plays more of a 'mascot' role.

QWhat criticism from within the Ethereum community towards the EF is highlighted in the article, and who exemplified this sentiment?

AThe EF has been criticized for its rigid structure, decision-making by a few, organizational value, and market-affecting sell-offs. Bankless founder David Hoffman exemplified this sentiment by selling his remaining ETH holdings to express dissatisfaction and encouraging the community to build independently of the EF.

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Agent S: O Futuro da Interação Autónoma no Web3 Introdução No panorama em constante evolução do Web3 e das criptomoedas, as inovações estão constantemente a redefinir a forma como os indivíduos interagem com plataformas digitais. Um projeto pioneiro, o Agent S, promete revolucionar a interação humano-computador através do seu framework aberto e agente. Ao abrir caminho para interações autónomas, o Agent S visa simplificar tarefas complexas, oferecendo aplicações transformadoras em inteligência artificial (IA). Esta exploração detalhada irá aprofundar-se nas complexidades do projeto, nas suas características únicas e nas implicações para o domínio das criptomoedas. O que é o Agent S? O Agent S é um framework aberto e agente, especificamente concebido para abordar três desafios fundamentais na automação de tarefas computacionais: Aquisição de Conhecimento Específico de Domínio: O framework aprende inteligentemente a partir de várias fontes de conhecimento externas e experiências internas. Esta abordagem dupla capacita-o a construir um rico repositório de conhecimento específico de domínio, melhorando o seu desempenho na execução de tarefas. Planeamento ao Longo de Longos Horizontes de Tarefas: O Agent S emprega planeamento hierárquico aumentado por experiência, uma abordagem estratégica que facilita a decomposição e execução eficientes de tarefas intrincadas. Esta característica melhora significativamente a sua capacidade de gerir múltiplas subtarefas de forma eficiente e eficaz. Gestão de Interfaces Dinâmicas e Não Uniformes: O projeto introduz a Interface Agente-Computador (ACI), uma solução inovadora que melhora a interação entre agentes e utilizadores. Utilizando Modelos de Linguagem Multimodais de Grande Escala (MLLMs), o Agent S pode navegar e manipular diversas interfaces gráficas de utilizador de forma fluida. Através destas características pioneiras, o Agent S fornece um framework robusto que aborda as complexidades envolvidas na automação da interação humana com máquinas, preparando o terreno para uma infinidade de aplicações em IA e além. Quem é o Criador do Agent S? Embora o conceito de Agent S seja fundamentalmente inovador, informações específicas sobre o seu criador permanecem elusivas. O criador é atualmente desconhecido, o que destaca ou o estágio nascente do projeto ou a escolha estratégica de manter os membros fundadores em anonimato. Independentemente da anonimidade, o foco permanece nas capacidades e no potencial do framework. Quem são os Investidores do Agent S? Como o Agent S é relativamente novo no ecossistema criptográfico, informações detalhadas sobre os seus investidores e financiadores não estão explicitamente documentadas. A falta de informações disponíveis publicamente sobre as fundações de investimento ou organizações que apoiam o projeto levanta questões sobre a sua estrutura de financiamento e roteiro de desenvolvimento. Compreender o apoio é crucial para avaliar a sustentabilidade do projeto e o seu impacto potencial no mercado. Como Funciona o Agent S? No núcleo do Agent S reside uma tecnologia de ponta que lhe permite funcionar eficazmente em diversos ambientes. O seu modelo operacional é construído em torno de várias características-chave: Interação Humano-Computador Semelhante: O framework oferece planeamento avançado em IA, esforçando-se para tornar as interações com computadores mais intuitivas. Ao imitar o comportamento humano na execução de tarefas, promete elevar as experiências dos utilizadores. Memória Narrativa: Utilizada para aproveitar experiências de alto nível, o Agent S utiliza memória narrativa para acompanhar os históricos de tarefas, melhorando assim os seus processos de tomada de decisão. Memória Episódica: Esta característica fornece aos utilizadores orientações passo a passo, permitindo que o framework ofereça suporte contextual à medida que as tarefas se desenrolam. Suporte para OpenACI: Com a capacidade de funcionar localmente, o Agent S permite que os utilizadores mantenham o controlo sobre as suas interações e fluxos de trabalho, alinhando-se com a ética descentralizada do Web3. Fácil Integração com APIs Externas: A sua versatilidade e compatibilidade com várias plataformas de IA garantem que o Agent S possa integrar-se perfeitamente em ecossistemas tecnológicos existentes, tornando-o uma escolha apelativa para desenvolvedores e organizações. Estas funcionalidades contribuem coletivamente para a posição única do Agent S no espaço cripto, à medida que automatiza tarefas complexas e em múltiplos passos com mínima intervenção humana. À medida que o projeto evolui, as suas potenciais aplicações no Web3 podem redefinir a forma como as interações digitais se desenrolam. Cronologia do Agent S O desenvolvimento e os marcos do Agent S podem ser encapsulados numa cronologia que destaca os seus eventos significativos: 27 de Setembro de 2024: O conceito de Agent S foi lançado num artigo de pesquisa abrangente intitulado “Um Framework Agente Aberto que Usa Computadores como um Humano”, mostrando a base para o projeto. 10 de Outubro de 2024: O artigo de pesquisa foi disponibilizado publicamente no arXiv, oferecendo uma exploração aprofundada do framework e da sua avaliação de desempenho com base no benchmark OSWorld. 12 de Outubro de 2024: Uma apresentação em vídeo foi lançada, proporcionando uma visão visual das capacidades e características do Agent S, envolvendo ainda mais potenciais utilizadores e investidores. Estes marcos na cronologia não apenas ilustram o progresso do Agent S, mas também indicam o seu compromisso com a transparência e o envolvimento da comunidade. Pontos-Chave Sobre o Agent S À medida que o framework Agent S continua a evoluir, várias características-chave destacam-se, sublinhando a sua natureza inovadora e potencial: Framework Inovador: Concebido para proporcionar um uso intuitivo de computadores semelhante à interação humana, o Agent S traz uma abordagem nova à automação de tarefas. Interação Autónoma: A capacidade de interagir autonomamente com computadores através de GUI significa um avanço em direção a soluções computacionais mais inteligentes e eficientes. Automação de Tarefas Complexas: Com a sua metodologia robusta, pode automatizar tarefas complexas e em múltiplos passos, tornando os processos mais rápidos e menos propensos a erros. Melhoria Contínua: Os mecanismos de aprendizagem permitem que o Agent S melhore a partir de experiências passadas, aprimorando continuamente o seu desempenho e eficácia. Versatilidade: A sua adaptabilidade em diferentes ambientes operacionais, como OSWorld e WindowsAgentArena, garante que pode servir uma ampla gama de aplicações. À medida que o Agent S se posiciona no panorama do Web3 e das criptomoedas, o seu potencial para melhorar as capacidades de interação e automatizar processos significa um avanço significativo nas tecnologias de IA. Através do seu framework inovador, o Agent S exemplifica o futuro das interações digitais, prometendo uma experiência mais fluida e eficiente para os utilizadores em diversas indústrias. Conclusão O Agent S representa um ousado avanço na união da IA e do Web3, com a capacidade de redefinir a forma como interagimos com a tecnologia. Embora ainda esteja nas suas fases iniciais, as possibilidades para a sua aplicação são vastas e cativantes. Através do seu framework abrangente que aborda desafios críticos, o Agent S visa trazer interações autónomas para o primeiro plano da experiência digital. À medida que avançamos mais profundamente nos domínios das criptomoedas e da descentralização, projetos como o Agent S desempenharão, sem dúvida, um papel crucial na formação do futuro da tecnologia e da colaboração humano-computador.

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Bem-vindo à HTX.com!Tornámos a compra de Sonic (S) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Sonic (S) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Sonic (S)Depois de comprar o teu Sonic (S), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Sonic (S)Transaciona facilmente Sonic (S) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

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