# 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.

From Cash to Crypto: Towards a Consistent Regulatory Approach to Illicit Payments

"From Cash to Crypto: Towards a Consistent Regulatory Approach to Illicit Payments" by Andrea Minto et al. (BIS) examines the challenges for Anti-Money Laundering and Countering the Financing of Terrorism (AML/CFT) regulation posed by the diversification of payment instruments, from cash and bank deposits to cryptoassets and CBDCs. The paper introduces a conceptual framework centered on the degree of intermediary involvement in a payment tool. It identifies a "waterbed effect": as regulators tighten AML/CFT rules on one type of instrument (e.g., bank transfers), illicit activity may shift to less-regulated alternatives with lower detection probabilities (e.g., self-hosted crypto wallets). This regulatory arbitrage undermines overall effectiveness. The framework categorizes payment tools as either intermediary-dependent (e.g., bank deposits, e-money, custodial wallets) where regulated entities perform checks, or non-intermediated (e.g., cash, self-hosted wallets, offline CBDCs) which offer higher anonymity and pose greater detection challenges. Malicious actors are assumed to choose tools that minimize their risk of detection. A case study of the EU's evolving AML/CFT regime illustrates this dynamic, showing how regulation has expanded over time to cover new entities like Crypto-Asset Service Providers (CASPs). However, inconsistencies remain, such as transaction limits for cash but not yet for self-hosted wallets or offline digital euro transactions. The paper concludes by proposing a dual regulatory approach: a *lex generalis* establishing a unified baseline of core obligations for all intermediated tools, and a *lex specialis* with tailored rules for non-intermediated instruments (e.g., transaction limits for cash and offline CBDCs, enhanced "touch point" monitoring for self-hosted wallets). This aims to create a more effective, consistent, and forward-looking framework that balances financial integrity with considerations for user privacy and innovation.

marsbit03/29 12:18

From Cash to Crypto: Towards a Consistent Regulatory Approach to Illicit Payments

marsbit03/29 12:18

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

GitHub has announced an update to its repository policy, effective April 24, 2026, allowing the use of user interaction data to train its AI models. The data collection will include users of Copilot Free, Pro, and Pro+, covering model inputs and outputs, code snippets, contextual information, repository structures, and chat logs. According to GitHub’s Chief Product Officer Mario Rodriguez, the move aims to enhance the accuracy and security of the model’suggestions, with internal Microsoft tests already showing improved acceptance rates. The policy follows an opt-out model, meaning affected users must manually disable data sharing in their privacy settings, sparking debate within the developer community over data ownership and the definition of private repositories. Copilot Business, Enterprise, and educational users are currently exempt due to contractual terms. GitHub defended the change as consistent with industry practices adopted by companies like Anthropic, JetBrains, and Microsoft. However, the inclusion of private repository code in training sets challenges conventional notions of privacy. This shift reflects a broader industry trend where leading AI providers are turning to user interaction data as high-quality public code resources diminish. It signals GitHub’s continued transition from an open-source platform to a closed-loop AI training ecosystem and highlights growing tensions between data compliance and AI model advancement.

marsbit03/26 01:39

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

marsbit03/26 01:39

Airdrops Rewarded 'Farmers' but Killed the Real Community

Token airdrops, intended to build communities, have instead become mechanisms that train users to extract maximum value and exit quickly. This outcome stems from design flaws in the 2021–2024 token distribution model: low float, high fully diluted valuations, points programs that reward activity over intent, and eligibility rules easily reverse-engineered by those with time and scripting skills. As a result, rational behavior shifted to mass wallet creation, simulated engagement, and immediate selling. Points programs exacerbate this issue, turning participation into a resource-intensive competition that marginalizes genuine users. Teams are aware of wallet clustering and disproportionate token accumulation but continue the model for short-term growth. Consequently, airdrops lose credibility, with significant supply reserved for immediate sell-offs at launch. In response, token sales and ICOs are returning—not out of nostalgia but as a structural correction. New distribution methods incorporate screening mechanisms like identity and reputation signals, on-chain behavior analysis, jurisdictional limits, and allocation caps. These aim to distribute tokens to long-term users rather than mercenaries. This shift highlights a tension between permissionless ideals and practical needs for access control. Privacy-preserving identity systems are becoming essential infrastructure to verify user attributes without exposing identities, avoiding a binary choice between open but exploitable systems and restrictive ones. Wallet limitations—fragmentation, weak recovery, blind signing, and browser-based vulnerabilities—also contribute to these challenges. Forward-thinking teams are integrating identity, wallet, and token distribution into a cohesive system where users can prove uniqueness without revealing identity and maintain control without fragile private keys. The goal is not exclusivity but better alignment: fewer committed participants are more valuable than many indifferent ones. Projects aligned with human values show better retention, governance engagement, and market resilience. Successful teams will treat token distribution as infrastructure, design for adversarial environments, use identity protectively, and embrace well-designed friction. The failure of airdrops lies not in user greed but in rewarding it. To grow beyond its current audience, crypto must stop training people to extract value and instead give them reasons to belong.

marsbit03/25 08:24

Airdrops Rewarded 'Farmers' but Killed the Real Community

marsbit03/25 08:24

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