Aztec запускает приложение StealthNote, предоставляющее конфиденциальность корпоративным информаторам

cryptonews.ruPublicado a 2025-02-16Actualizado a 2025-04-16

Разработчики, стоящие за Ethereum layer 2 Aztec Network, запустили платформу для разоблачителей под названием StealthNote, которая позволяет работникам высказываться о своих работодателях, не раскрывая себя.

StealthNote использует доказательства с нулевым разглашением, чтобы доказать, что публикации на ее платформе написаны кем-то, имеющим доступ к адресу электронной почты компании, которую они проверяют.

Разработчик Aztec Labs Салил Пичен написал в сообщении X от 14 апреля, что StealthNote создает доказательство с нулевым разглашением Google JSON Web Token, которое используется для аутентификации пользователей и позволяет платформе доказать, что автор публикации владеет «электронной почтой из домена компании, не раскрывая никакой личной информации».


Два последних поста на StealthNote от сотрудников Aztec Labs и Корнельского университета. Источник: StealthNote.xyz

Согласно документации Aztec, решение для обеспечения конфиденциальности находилось в разработке по крайней мере с 22 октября, а первый тестовый пост от Aztec появился около трех месяцев назад.

Сотрудники Ethereum Foundation, StarkWare и Scroll, а также Колумбийского и Корнельского университетов опубликовали посты на StealthNote, в основном поделившись приветствиями и выразив свою поддержку решениям для обеспечения конфиденциальности.

«Давайте сделаем конфиденциальность снова крутой», — написал сотрудник Nim Network.

ZK-proofs нужны как никогда, говорит Бутерин

ZK-proofs стали все более используемым решением для обеспечения конфиденциальности в эпоху Интернета, поскольку опасения по поводу безопасности данных и правительственного надзора продолжают расти.

Опасения были высказаны в сообщении в блоге от 14 апреля соавтором Ethereum Виталиком Бутериным, который раскритиковал предположение, что правительства, как правило, имеют благие намерения, когда речь идет о жертвах конфиденциальности ради более «прозрачного общества».

Он отстаивал ZK-proofs как решение для смягчения этого компромисса, подчеркивая способность технологии обеспечивать «тонкий контроль над тем, кто может видеть какую информацию».

Ориентированная на конфиденциальность Aztec Network была запущена на Ethereum в феврале 2020 года.

Компания привлекла 100 миллионов долларов в рамках финансирования серии B под руководством технологически ориентированной венчурной компании Andreessen «a16z» Horowitz в декабре 2022 года, а также A Capital и King River.

Criptos en tendencia

Lecturas Relacionadas

AI Billing Black Box Exposed: 1.7 Million Overcharged, Anthropic Refunds But Doesn’t Admit Fault

A startup named Vaudit, founded by former Oracle director Michael Hahn, audits AI bills for companies and claims to have identified approximately $1.7 million in overcharges across 60 businesses, totaling $34 million in reviewed bills. The alleged discrepancies primarily involve charges for Anthropic's Claude Code. Common issues cited include billing for newer, more expensive models when older, cheaper ones were used; charging for failed or errored requests; and "retry storms" where AI agents silently retry failed tasks, accumulating costs unnoticed. Major clients like Panasonic, HP, and Honda were among those audited. While Vaudit reports that around 80% of the disputed charges were refunded by providers like Amazon, Google, Microsoft, Anthropic, and OpenAI after申诉, the AI companies largely deny systemic problems. Anthropic stated overcharges do not appear widespread and it does not bill for uncompleted requests or errors, while OpenAI said it found no evidence of such issues affecting its customers. The situation highlights the inherent opacity and complexity of AI billing, which is based on token usage that is difficult to track and predict, especially with multi-agent, multi-model workflows. This complexity is creating a new market for third-party AI bill auditing services like Vaudit, which charges fees based on recovered amounts. Separately, Anthropic faces a proposed class-action lawsuit alleging its high-tier subscription plans deliver far less usage than advertised. The case underscores growing scrutiny over AI service pricing and transparency as major providers prepare for IPOs.

marsbitHace 17 min(s)

AI Billing Black Box Exposed: 1.7 Million Overcharged, Anthropic Refunds But Doesn’t Admit Fault

marsbitHace 17 min(s)

Tencent Buys Baidu Chips

China's internet giants, once defined by building closed, self-sufficient empires, are undergoing a fundamental shift. A key signal is Baidu's plan to spin off its AI chip unit, Kunlun Xin, for a Hong Kong IPO targeting a $50 billion valuation, potentially exceeding its parent company's worth. Concurrently, Alibaba's T-Head is also pursuing independence. Most significantly, reports indicate that rival Tencent has become a major customer for Kunlun Xin's chips. This move, where competitors begin procuring each other's core technologies, marks a decisive break from the past era of internal duplication and isolation. It signals the maturation of China's AI industry into a more open, specialized ecosystem. The underlying driver is the immense and clear cost of AI infrastructure, particularly the exploding demand for inference compute driven by AI agents and applications. Hardware is no longer just an internal cost center but a profitable, strategic business in itself. Globally, a parallel trend is evident as OpenAI, Google, Amazon, and others develop their own AI chips to control costs and optimize performance. The competition has moved beyond model benchmarks to a deeper, foundational war over token cost efficiency, inference cluster performance, and secure, scalable computing power. Baidu and Alibaba aren't dismantling their empires but are instead decoupling non-core, capital-intensive infrastructure to participate in and shape a larger, collaborative industrial base. The era of the all-encompassing super-app is giving way to an age of strategic specialization and open ecosystem building in the AI race.

marsbitHace 33 min(s)

Tencent Buys Baidu Chips

marsbitHace 33 min(s)

The Token Itself Is an Asset: Three Types of Tokenized Stocks, Which One Suits You?

"Tokenized Stocks: Three Types, Which One Fits You? For investors outside the US, buying stocks like SpaceX or Nvidia is difficult, requiring brokers, cross-border transfers, and often accredited investor status. Blockchain offers an alternative through tokenized stocks, a term encompassing three distinct products with vastly different ownership, voting, and profit rights. 1. **Full Real Ownership**: Companies like Superstate register native equity directly on-chain (e.g., Solana). Holders are on the official shareholder registry, with full voting rights, dividends, and legal ownership. This offers maximum rights but potentially less DeFi flexibility. 2. **SPV-Backed Tokens (Surrendered Ownership for DeFi Composability)**: Issuers like Backed (xStocks) and Ondo use offshore Special Purpose Vehicles (SPVs) to hold underlying shares 1:1 and issue tracking tokens. Investors get price exposure and dividends (reinvested as more tokens) but hold a claim on the SPV, not direct stock ownership. This enables use as collateral in DeFi protocols (Kamino, Morpho) and 24/7 minting/redemption, but carries SPV counterparty risk (highlighted by the PreStocks collapse). 3. **Perpetual Futures (Pure Price Speculation)**: Platforms like TradeXYZ (on Hyperliquid) and Ostium offer perpetual contracts. These are synthetic derivatives with no underlying stock ownership, using funding rates to track spot prices. They require only a price oracle, allowing extremely fast listing (e.g., SpaceX pre-IPO) and high leverage, attracting speculators. Their trading volume far exceeds tokenized spot products. The core value of tokens is that they don't need to replicate full stock ownership. Most retail investors never vote. Tokenization creates layered financial tools: full equity for institutions, composable tokens for DeFi users, and perpetuals for leveraged traders."

marsbitHace 33 min(s)

The Token Itself Is an Asset: Three Types of Tokenized Stocks, Which One Suits You?

marsbitHace 33 min(s)

AI as the Boss: Nearly Bankrupts 10 Companies...

A recent study from Princeton University tested 14 AI models, including large language models (LLMs) and a rule-based algorithm, in a simulation where they acted as CEOs of a virtual SaaS startup over 500 days. The goal was to grow an initial $1 million capital. The results were stark: only four "CEOs" ended with a profit. The top performer was Claude Fable 5, multiplying the capital 47-fold to $47.15 million. Claude Opus 4.8 and GPT-5.5 followed. Notably, the fourth profitable entity was a simple, pre-programmed rule-based algorithm, which outperformed many advanced LLMs with $15.76 million in profit. Five other models, including several major LLMs, went bankrupt before the simulation ended. Key takeaways from the research highlight that successful AI CEOs demonstrated a tendency for exploration and adaptation over caution. They excelled in discovering hidden information, predicting future cash flow, adapting quickly to changes (like competitor moves), and engaging in strategic "if-then" planning. The study also found that equipping LLMs with programming-agent frameworks, optimized for coding tasks, actually harmed their performance in this CEO role, suggesting a need for domain-specific adaptations. The article concludes by contrasting AI's current operational proficiency within defined frameworks with the type of visionary, intuitive decision-making—exemplified by figures like Steve Jobs—that truly drives transformative business strategy. This critical "matrix-drawing" capability, it argues, remains uniquely human.

marsbitHace 43 min(s)

AI as the Boss: Nearly Bankrupts 10 Companies...

marsbitHace 43 min(s)

Trading

Spot

Artículos destacados

Cómo comprar LAYER

¡Bienvenido a HTX.com! Hemos hecho que comprar Solayer (LAYER) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Solayer (LAYER) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Solayer (LAYER)Después de comprar tu Solayer (LAYER), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Solayer (LAYER)Tradear fácilmente con Solayer (LAYER) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

296 Vistas totalesPublicado en 2025.02.11Actualizado en 2026.06.02

Cómo comprar LAYER

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de LAYER (LAYER).

活动图片