Vitalik Buterin pitches ZK-proofs to audit X algorithm and rankings

cointelegraph2025-12-15 tarihinde yayınlandı2025-12-15 tarihinde güncellendi

Özet

Vitalik Buterin, co-founder of Ethereum, has proposed that social media platform X use zero-knowledge proofs (ZK-proofs) and blockchain technology to make its content-ranking algorithm transparent and verifiable. He argues this would prove the fairness of algorithmic decisions, prevent censorship, and ensure data integrity by timestamping content on-chain. Buterin also suggests publishing the full algorithm code with a 1-2 year delay. His comments follow criticism of Elon Musk’s leadership and X’s opaque content policies. The proposal aligns with broader SocialFi and decentralized social media principles, emphasizing the need for transparency amid growing regulatory scrutiny, such as the EU’s Digital Services Act, which recently fined X for non-compliance. Buterin’s stance highlights concerns about social media’s impact on free speech and misinformation.

Ethereum co-founder Vitalik Buterin is calling for social media platforms to use cryptography and blockchain tools to make their content-ranking systems more transparent and verifiable.

In a Monday X post, Buterin argued that X should use zero-knowledge proofs (ZK-proofs) and blockchain to prove the fairness of the algorithm that determines the reach of content on the platform. He raised an issue with how X operates on Dec. 9, claiming that its owner Elon Musk’s way of leading it is harmful:

“Elon Musk I think you should consider that making X a global totem pole for free speech, and then turning it into a death star laser for coordinated hate sessions, is actually harmful for the cause of free speech.“

Ethereum Foundation AI lead Davide Crapis reacted to this initial idea by saying, “If you want to claim X is the platform for free speech, you should disclose your algorithm optimization targets.” He added that “it should be legible to the users, and tweakable.”

Buterin suggested a verifiable system that employs ZK-proofs for every decision made by the algorithm and timestamps all content, likes, and retweets on a blockchain “so the server can’t censor or lie about time.” The platform should also “commit to publishing the full algorithm code with a 1-2 year delay.”

Source: Vitalik Buterin

ZK-proofs are a cryptographic way to prove that something is true without revealing the underlying data — for instance, proving that you are over 18 without sharing your full name. Buterin did not go into detail about what proofs would demonstrate in his suggested solution, but they would likely show that algorithmic decisions followed certain constraints without sharing sensitive details.

Related: Sunlight is more effective than censorship

Crypto takes on social media

Buterin’s post echoed the sentiment behind some decentralized social media platforms known as SocialFi. Such initiatives, despite none having reached mainstream adoption, appear to be taken seriously by their traditional centralized equivalents.

In early 2025, Meta, the parent company of Facebook and Instagram, blocked links to a decentralized Instagram competitor called Pixelfed. All links to the platform were labeled as “spam” and removed immediately. Others claimed that Facebook competitors, including Mastodon, were given the same treatment.

The crypto community — with its tendency to be wary of centralized control — has raised concerns about the potential impact of decisions made by social media platform leadership in the past. When Musk announced in early January that X would prioritize promoting content deemed informative or educational over other types of content, many were not convinced.

Critics questioned who would decide what qualifies and whether the policy could become a vehicle for suppressing certain viewpoints. Musk has also been accused by critics of limiting access to premium features for users who disagreed with him.

Buterin also chimed in at the time. He urged Musk to remain committed to free speech on the platform and not ban users for disagreements or expressing views.

Related: Buterin says X’s new location feature ‘risky’ as crypto users flag privacy concerns

The impact of social media on society

Research has long shown that social media has an outsized impact on society and the functioning of democratic processes. A paper published in 2024 suggested that “access to Facebook may increase belief in misinformation.”

Reuters also reported last month that recent court filings suggested that Meta shut down internal research into the mental health effects of Facebook after finding causal evidence that its products harmed users’ mental health. The study found that “people who stopped using Facebook for a week reported lower feelings of depression, anxiety, loneliness, and social comparison.”

The European Union attempted to tackle the issue with its Digital Services Act, which requires transparency on the main algorithm parameters and requires platforms to assess the risk and disclose the findings on the potential negative impact of their operations. Impacts considered explicitly include “negative effects on civic discourse and electoral processes, and public security.”

The Digital Services Act also requires that vetted researchers be given access to platform data to study their systemic risk independently. A lack of compliance by X with this specific requirement is among the reasons cited by the European Commission for imposing a 120 million euro fine earlier this month.

Other reasons include a lack of transparency on X’s ads repository and the platform’s blue checkmark purportedly deceiving users since “anyone can pay to obtain the ‘verified’ status without the company meaningfully verifying who is behind the account.”

Trend Kriptolar

İlgili Okumalar

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbit3 dk önce

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbit3 dk önce

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit10 dk önce

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit10 dk önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit2 saat önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit2 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit2 saat önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit2 saat önce

İşlemler

Spot
Futures

Popüler Makaleler

ZK Nasıl Satın Alınır

HTX.com’a hoş geldiniz! ZKsync (ZK) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında ZKsync (ZK) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: ZKsync (ZK) Varlıklarınızı SaklayınZKsync (ZK) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: ZKsync (ZK) Varlıklarınızla İşlem YapınHTX'in spot piyasasında ZKsync (ZK) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

191 Toplam GörüntülenmeYayınlanma 2024.12.13Güncellenme 2026.06.02

ZK Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların ZK (ZK) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片