# Сопутствующие статьи по теме Regulation

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

U.S. Tax Collection Reaches Wallet Exchanges from 6 Years Ago? Four-Layer Breakdown of the IRS's New Form

The U.S. IRS has introduced a new audit form requiring taxpayers to disclose all digital asset platforms, wallets, and services used, including exchanges like Coinbase, Binance, and defunct entities like FTX, as well as self-custody wallets such as MetaMask and Ledger. This form, part of a broader tax enforcement strategy, mandates detailed account information and transaction history, with penalties for false declarations under perjury laws. This move is not sudden but results from years of regulatory evolution, starting with the 2017 John Doe subpoena to Coinbase, which compelled the exchange to share user data. The 2021 Infrastructure Investment and Jobs Act further classified crypto exchanges as "brokers," requiring them to report user data via Form 1099-DA starting in 2025. The IRS employs a four-layer data approach: exchange reports, traditional financial records, blockchain analysis, and audit questionnaires. While centralized exchanges remain key data sources due to KYC requirements, the focus may shift to on-chain protocols like Hyperliquid, where transactions are transparent but identity linkage is weaker. The IRS typically audits up to three years prior, extendable to six for significant underreporting. High-risk groups include those who reported minimal crypto activity despite acknowledging it, discrepancies in 1099-DA forms, and high-frequency traders during the 2017-2021 bull market. Tax professionals advise consulting experts before responding to audits. Globally, tax authorities like the UK's HMRC and Australia's ATO are also tightening crypto tax reporting, signaling a broader regulatory trend.

Odaily星球日报03/16 02:52

U.S. Tax Collection Reaches Wallet Exchanges from 6 Years Ago? Four-Layer Breakdown of the IRS's New Form

Odaily星球日报03/16 02:52

Which Areas Still Have Moats in the AI Era?

In the AI era, certain moats remain despite rapid technological advancement. The author, a former hedge fund manager, argues that the true inflection point occurred when AI models like ChatGPT’s o1 began generating functional code—even with imperfections—enabling recursive self-optimization and fundamentally altering software development. Key short-term moats identified include: 1. **Proprietary Data**: Firms with unique, inaccessible data (e.g., multi-strategy hedge funds) can fine-tune models, creating defensible advantages. 2. **Regulatory Friction**: Industries requiring human approval (e.g., traditional finance) face slower disruption due to compliance and legal barriers. 3. **Authority-as-a-Service**: Human trust in institutional authority (e.g., legal or audit services) persists even if AI outperforms humans technically. 4. **Physical World Lag**: Hardware-dependent sectors evolve slower, delaying full AI integration. However, these moats only delay, not prevent, disruption. The author emphasizes acting on signals rather than waiting for certainty: identify directional trends, place asymmetric bets (limited downside, high upside), and iterate through action. As AI accelerates, windows of opportunity close quickly. To remain relevant, humans must excel in long-term strategy, complex system-level thinking, and collaboration—areas where AI still lags. The time to act is now, before markets price in the obvious.

marsbit03/15 05:35

Which Areas Still Have Moats in the AI Era?

marsbit03/15 05:35

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