# Сопутствующие статьи по теме privacy

Новостной центр HTX предлагает последние статьи и углубленный анализ по "privacy", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

ChatGPT Can Manage Your Money for You. Would You Trust It with Your Bank Account?

OpenAI has launched a personal finance tool for ChatGPT, currently in preview for US-based ChatGPT Pro users. This feature allows users to connect their bank and investment accounts (via Plaid, supporting over 12,000 institutions) directly to ChatGPT. It analyzes transactions, generates visual dashboards, and offers conversational financial advice—such as budgeting or planning for major purchases—based on the user's actual data. This move follows OpenAI's acquisitions of fintech startups Roi and Hiro Finance, signaling a strategic push into vertical "super assistant" applications, similar to its earlier health-focused feature. However, the launch has sparked significant privacy concerns. Critics question the safety of granting such sensitive financial access to an AI, especially amid ongoing lawsuits alleging OpenAI shared user chat data with third parties like Meta and Google. OpenAI emphasizes that ChatGPT only reads data (no transaction capabilities), deletes it within 30 days if disconnected, and offers opt-out options for model training. Yet, trust remains a major hurdle. The trend reflects a broader industry shift: AI companies like Anthropic and Perplexity are also targeting high-value, data-rich domains like finance and health. While technically promising, the tool operates in a regulatory gray area—it provides personalized guidance but disclaims formal financial advice or liability. Ultimately, OpenAI's challenge is convincing users to trust an AI with their most private financial information.

marsbit05/16 10:58

ChatGPT Can Manage Your Money for You. Would You Trust It with Your Bank Account?

marsbit05/16 10:58

Cardano Founder Says Monero Is ‘What Bitcoin Should Have Been’

Cardano founder Charles Hoskinson argues that Monero represents the "privacy-preserving cryptocurrency Bitcoin should have been," praising its technical design and steadfast commitment to cypherpunk principles. In an interview, he highlighted Monero's use of advanced features like ASIC-resistant puzzles, full-chain membership proofs, and ring signatures, calling it a pioneer in privacy at scale. Hoskinson noted that while privacy systems are often complex and built by specialists, Monero has successfully balanced strong privacy guarantees with usability without compromising its decentralized ethos. He emphasized the importance of such uncompromising projects in the broader crypto ecosystem, comparing different cryptocurrency communities to a "Justice League" where each member, like Monero, plays a distinct and vital role.

bitcoinist05/14 19:02

Cardano Founder Says Monero Is ‘What Bitcoin Should Have Been’

bitcoinist05/14 19:02

ZK-Driven Bitcoin Privacy Solution Officially Launches on Starknet

Starknet has launched strkBTC, a ZK-driven privacy solution for Bitcoin. It uses Starknet's zero-knowledge technology to shield transaction details and balances on the public ledger, addressing growing security concerns like targeted robberies and AI-powered wallet tracking. The system is designed to be compliance-ready, featuring view keys for authorized audits and third-party screening to prevent illicit funds. Future plans include confidential DeFi activities on Starknet, quantum-resistant cryptography, integration with BitVM for enhanced security, and a long-term goal of a trustless bridge via a Bitcoin OP_CAT soft fork. The initiative aims to make Bitcoin function as private digital cash while maintaining necessary accountability.

marsbit05/14 11:09

ZK-Driven Bitcoin Privacy Solution Officially Launches on Starknet

marsbit05/14 11:09

New Protocol Tacit: The ZEC of the Bitcoin Ecosystem

The article discusses Tacit, a new privacy-focused Bitcoin asset protocol emerging after a period of relative quiet in the Bitcoin ecosystem. Unlike BRC-20 or Runes, Tacit is a "meta-protocol" where the indexer runs directly in the user's browser, removing the need for centralized servers. Its key innovation is enabling privacy for token amounts on the Bitcoin mainnet. Tacit employs cryptographic techniques like Pedersen Commitments and Bulletproofs to conceal transaction amounts while proving conservation of funds. It uses Mimblewimble-style signatures to prevent inflation and ECDH encryption to ensure only senders and receivers can decrypt real amounts. This makes it a native "privacy coin" for Bitcoin, albeit one that hides amounts but not the direction of fund flows between addresses. The protocol, developed by ross.wei (known for Ethereum's ZAMM), has rapidly evolved since its May 7 launch. It now supports fair launches, a marketplace, token swaps, and a novel mixer similar to Tornado Cash but without relying on smart contracts. However, this privacy comes at a cost, with transaction fees estimated to be about 10 times higher than Runes. Future plans include privacy-wrapping native Bitcoin (cBTC), implementing silent receipts, and hiding the token type in transfers. The main token, $TAC, has gained traction with a market cap around $4 million. Positioned between simpler token standards and complex solutions like RGB, Tacit represents a significant and innovative step for on-chain privacy within the Bitcoin ecosystem.

marsbit05/14 11:09

New Protocol Tacit: The ZEC of the Bitcoin Ecosystem

marsbit05/14 11:09

Every Mouse Movement Trains AI: Meta Employees 'Rebel,' Refuse to Work in an 'Employee Data Extraction Factory'

Meta employees in the U.S. are organizing protests against the company's installation of mouse-tracking software on work computers. Flyers distributed in offices criticize the initiative as creating an "employee data extraction factory." The protest coincides with Meta's plans to cut 10% of its workforce (around 8,000 jobs) by late 2026 and is part of a broader tech industry trend of layoffs. The action is organized and cites U.S. labor law for protection. It connects to formal unionization efforts in the UK with the United Tech and Allied Workers (UTAW). Organizers argue employees are paying the price for Meta's costly AI bets, facing layoffs, intrusive surveillance, and being forced to train systems that could replace them. The tracking is part of Meta's "Model Capability Initiative" (MCI), which collects data like mouse movements and clicks from specific work applications to train AI agents. While Meta claims the data is necessary to build helpful AI and is collected with safeguards, employees internally express discomfort, feeling they are training their own replacements and questioning their inability to opt out. Company leadership, including CEO Mark Zuckerberg, has framed 2026 as a pivotal year for AI-driven workplace changes, but the internal rollout of MCI has sparked significant employee backlash and legal scrutiny.

marsbit05/14 10:55

Every Mouse Movement Trains AI: Meta Employees 'Rebel,' Refuse to Work in an 'Employee Data Extraction Factory'

marsbit05/14 10:55

Bitwise: Why Are Top-Tier Capitals Frenziedly Betting on New Public Blockchains? The Answer Lies in These Three Points

Recently, a wave of major funding announcements for new public blockchains like Arc, Canton, and Tempo signals a significant industry shift. This article analyzes the driving forces behind this surge. Firstly, regulatory clarity is a key catalyst. These massive investments, including Circle's Arc ($222M), Digital Asset's Canton ($300M), and Stripe's Tempo ($500M), all followed the US passage of the *Genius Act* in July 2025. This suggests that clear legislation is unlocking institutional capital. The anticipated, broader *Clarity Act* could further accelerate growth, particularly in tokenization and compliant infrastructure. Secondly, built-in privacy is emerging as a critical design feature. Unlike Ethereum or Solana, these new chains natively support confidential transactions. This directly addresses real-world business needs, where public transparency can be a liability for corporate dealings or personal salary data, making privacy a potential killer application. Finally, the entry of traditional giants marks a new competitive phase. These projects are backed by major firms: Arc by Circle, Canton by a consortium including Goldman Sachs and Nasdaq, and Tempo by Stripe with partners like Visa. While crypto-native projects remain strong contenders, this institutional involvement brings substantial capital, execution capability, and operational rigor. In conclusion, the convergence of regulatory progress, demand for privacy, and competition from established financial and tech players is rapidly reshaping the blockchain landscape, pushing innovation and expanding the industry's boundaries.

marsbit05/14 09:20

Bitwise: Why Are Top-Tier Capitals Frenziedly Betting on New Public Blockchains? The Answer Lies in These Three Points

marsbit05/14 09:20

EASY Residency Season 3 Graduation List Released: Which Tracks is YZi Lab Focusing On?

YZi Labs has announced the 25 graduating projects from the third season of its flagship incubation program, EASY Residency. This cohort is focused on key Web3 sectors including the reconstruction of on-chain financial market structures, AI agents, tokenized real-world assets (RWA), prediction markets, and privacy/compliance infrastructure. The selected projects span a wide range of applications. In the AI and infrastructure domain, Bank of AI provides identity and payment infrastructure for AI agents on BNB Chain, while Cournot focuses on making AI probabilistic outputs verifiable. Functor addresses self-custody authorization for AI agent workflows. For decentralized finance (DeFi) and trading, several projects aim to enhance liquidity and user experience. LunarBase offers CEX-level on-chain liquidity, Möbius is building a unified margin layer, and Nemesis is a permissionless margin trading protocol. Others like LayerV and Vibe.fun are working on structured products and exotic derivatives. The RWA and asset tokenization category includes Renaiss, which provides liquidity infrastructure for physical collectibles, and Openstocks, a platform for tokenized private market exposure. Prediction markets and novel financial primitives are represented by Polysights (automation infrastructure for prediction markets) and PokerFi (an on-chain poker skill-games options market). Privacy and compliance are addressed by projects like 0xBow.io, which offers compliance-oriented privacy infrastructure, and SilentSwap, a cross-chain privacy swap protocol. The list also features projects targeting specific niches or improving core processes, such as Isaac, a non-interest stablecoin neobank for the Muslim market, Brief Tech, an AI-powered legal evidence indexing tool, and Flap, a programmable token launch infrastructure. Overall, this cohort reflects YZi Labs' investment thesis in foundational infrastructure layers, AI integration, sophisticated DeFi products, and real-world asset tokenization, aiming to advance the usability and capability of the on-chain ecosystem.

marsbit05/14 02:09

EASY Residency Season 3 Graduation List Released: Which Tracks is YZi Lab Focusing On?

marsbit05/14 02:09

EASY Residency Season 3 Graduation List Announced: Which Sectors is YZi Lab Eyeing?

YZi Labs has announced the 25 projects graduating from the third season of its flagship incubation program, EASY Residency. The cohort focuses on key areas such as rebuilding on-chain financial market structures, AI agents, tokenized real-world assets (RWA), prediction markets, and privacy/compliance infrastructure. Notable projects include: Bank of AI, building AI Agent identity and payment infrastructure for BNB Chain; Cournot, creating a verifiable reasoning platform for AI probability outputs; and LunarBase, a liquidity platform aiming for CEX-like execution quality on Base and BNB Chain. Other highlights are: Flap, a programmable token launch infrastructure; GEMINT, a marketplace for collectibles and IP assets; and Renaiss, providing liquidity infrastructure for physical collectibles as RWAs. In DeFi, projects like Möbius (unified margin layer), TermMax (fixed-rate lending), and LayerV (on-chain options) aim to enhance sophistication and capital efficiency. Several projects tackle AI automation, such as Newsliquid (automating news-based trading) and Taco AI (AI agent trading). Privacy and compliance are addressed by 0xBow.io (privacy infrastructure with compliance proofs) and SilentSwap (private cross-chain swaps). The selection reflects YZi Labs' focus on foundational infrastructure across AI, DeFi, tokenization, and next-generation financial primitives, supporting early-stage projects that aim to advance these critical sectors.

Odaily星球日报05/14 02:02

EASY Residency Season 3 Graduation List Announced: Which Sectors is YZi Lab Eyeing?

Odaily星球日报05/14 02:02

AI Agents Can Be Verified, But Who Protects Their Privacy?

As AI Agents evolve from automated tools into active participants in on-chain economies, a critical challenge emerges: establishing trust while preserving privacy. While standards like ERC-8004 aim to provide verifiable identity and reputation for agents, their public nature could expose sensitive operational strategies, user preferences, and business relationships in fields like DeFi, governance, and prediction markets. The proposed ACTA (Anonymous Credentials for Trustless Agents) framework addresses this by adding a privacy layer. It allows agents to cryptographically prove they meet certain criteria (e.g., having passed an audit or possessing sufficient reputation) without revealing the underlying sensitive data, using zero-knowledge proofs. This shifts trust from "public identity" to "policy-based proof." This shift is crucial because agents act dynamically on behalf of users, making their behavior a potential proxy for user intent. ACTA would enable verification of an agent's legitimacy or authorization without creating a permanent, public map of all its activities and relationships. ACTA remains a research direction with open challenges, including scalability, decentralization of credential issuers, and implementation costs. However, it highlights a fundamental need: a robust Agent economy requires not just mechanisms for verification, but also for protecting the privacy of agents, their users, and the protocols they interact with.

marsbit05/14 01:27

AI Agents Can Be Verified, But Who Protects Their Privacy?

marsbit05/14 01:27

Bitwise: Why Are Top-Tier Capital Giants Aggressively Betting on New Public Blockchains Like Arc, Canton, and Tempo?

Why Top Institutions Are Betting Big on New Blockchains Like Arc, Canton, and Tempo This week saw a surge of major funding announcements for new, purpose-built blockchains. Circle's Arc raised $222M at a $3B valuation from investors like BlackRock. Canton Network developer Digital Asset secured $300M led by a16z at a $2B valuation. Stripe's Tempo, already a leader, raised $500M last year and has partnered with major firms. These three chains share key traits: they are designed for stablecoins and asset tokenization, they emerged after the US passed the *Genius Act* in July 2025, they natively support private transactions crucial for enterprise adoption, and they are backed by traditional finance and tech giants—unlike the crypto-native origins of Ethereum or Solana. This trend highlights three major shifts: 1) Clear regulation (like the pending *Clarity Act*) is unlocking massive institutional capital. 2) Built-in privacy is becoming a core feature for real-world business use, addressing the limitations of fully transparent ledgers. 3) Established corporations are now directly entering the blockchain arena, bringing significant resources and execution capability, which will accelerate innovation and competition across the entire crypto ecosystem.

marsbit05/13 09:28

Bitwise: Why Are Top-Tier Capital Giants Aggressively Betting on New Public Blockchains Like Arc, Canton, and Tempo?

marsbit05/13 09:28

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