Дэвид Сакс: "Белый дом поддержит отмену правила брокера для DeFi"

cryptonews.ruPublished on 2024-08-05Last updated on 2025-03-05

По словам “криптоцаря” Дэвида Сакса, советники Трампа порекомендуют ему отменить правила брокера DeFi.

Заявление от 4 марта в поддержку отмены правила брокера для DeFi. Источник: Дэвид Сакс.

Правило, выпущенное IRS в декабре 2024 года до вступления Трампа в должность, вызвало немедленную негативную реакцию многих в криптоиндустрии, утверждающих, что политика переместит компании в офшоры или иным образом заблокирует инновации. Однако правило не планируется внедрять до 2027 года.

Согласно политике IRS, если платформа DeFi участвует в содействии обмену или продаже цифровых активов и осуществляет достаточный контроль или влияние на процесс транзакции, она может квалифицироваться как брокер и подпадать под дополнительные требования по отчетности. Правительственный орган подсчитал, что новое правило может затронуть от 650 до 875 брокеров DeFi, которым необходимо будет начать собирать данные в 2026 году.

Потенциальное изменение политики IRS — лишь один из многих законов, которые контролируемые республиканцами Сенат, Палата представителей и исполнительная власть предложили с момента вступления Трампа в должность в январе. Трамп подписал несколько указов, благоприятных для отрасли, и объявил о планах провести криптосаммит в Белом доме 7 марта.

Not Betting on Goals but on 'Tears': Polymarket Users Argue Over Ronaldo's Final World Cup Match

Title: Beyond Goals, Betting on Tears: Polymarket Users Clash Over Ronaldo's Emotional World Cup Exit On July 6, Portugal's 0-1 loss to Spain in the World Cup round of 16 marked the final tournament for Cristiano Ronaldo. The 41-year-old star's emotional reaction—red eyes, wiping his face, fighting back tears—was captured globally. Concurrently, a fierce debate erupted on the crypto prediction platform Polymarket over a specific market: "Will Ronaldo cry during the 2026 FIFA World Cup?" The market, with over $23 million in volume, saw its "YES" probability surge to 99% after the match, but the result was disputed and entered a final review phase. The core conflict centered on the market's precise rules: it required "clearly visible tears streaming down [Ronaldo's] face" in photos/videos taken on the field or bench area during Portugal's matches. While major media outlets described Ronaldo as "in tears" and footage showed him emotional, "NO" bettors argued visible tear tracks were not conclusively evident, only red eyes and dampness. Polymarket's official clarification on July 8 stated that eligible evidence existed showing Ronaldo crying with visible tears on his face post-match. The dispute now goes to a UMA oracle community vote for resolution. This incident highlights a recurring challenge for prediction markets: they excel with quantifiable events but can spark major controversies over subjective, visual, or emotional interpretations. It also serves as a reminder for participants to scrutinize rule wording meticulously, not rely on general perception. Ultimately, such high-profile disputes drive significant trading volume and attention for the platform.

Foresight News42m ago

Not Betting on Goals but on 'Tears': Polymarket Users Argue Over Ronaldo's Final World Cup Match

Foresight News42m ago

DeepSeek Secretly Builds AI Chip, Specializing in Inference, Project Started a Year Ago with No Public Recruitments

DeepSeek, the Chinese AI company known for its algorithmic models, is secretly developing its own AI chip to reduce dependence on Nvidia, according to a Reuters report. The chip is designed specifically for AI inference, not training, and the project began approximately a year ago. Currently in early stages, DeepSeek is reportedly in discussions with chip design firms, foundries, and memory suppliers. The company, historically focused on algorithmic efficiency, has been discreetly hiring chip design engineers without public job postings. This move aligns with a global trend where major AI model companies like OpenAI and Anthropic are also pursuing custom chip development. DeepSeek founder Liang Wenfeng previously highlighted chip shortages as a challenge. While the company initially trained models on Nvidia H800s and later adapted to Huawei's Ascend chips, it now seeks greater control over its hardware foundation. Designing a competitive AI chip is a significant challenge, requiring years and substantial investment with no guarantee of success. However, DeepSeek's efforts are backed by a recent major funding round of approximately 51 billion RMB (about $7.4 billion) raised in June 2026. The funds are designated for expanding data centers based on domestic chips, developing proprietary AI chips, and recruiting top global talent. Infrastructure plans are also advancing, with job postings for data center design engineers, including projects in locations like Ulanqab, Inner Mongolia. The company remains characteristically low-key, with sources speaking anonymously and no official comment from DeepSeek itself. Nevertheless, this initiative marks a strategic expansion from software algorithms into the hardware layer that powers its AI systems.

marsbit49m ago

DeepSeek Secretly Builds AI Chip, Specializing in Inference, Project Started a Year Ago with No Public Recruitments

marsbit49m ago

Bitcoin: BTC loses half its value, yet THIS metric shows quiet accumulation

Bitcoin has lost over half its value since its October 2025 peak, currently trading in a $58,000-$63,000 range. The decline was driven by geopolitical tensions causing capital outflows. Despite this, on-chain data shows quiet accumulation, with apparent demand improving from -275,000 to -75,000 BTC over 30 days, though it remains negative. Technical analysis indicates limited downside, with price finding support at the Bollinger Bands lower band, but the MACD suggests further consolidation is likely. The Bitcoin Season Index reads 52, indicating no euphoric rally, and exchange reserves are declining, pointing to reduced selling pressure. Overall, the market shows signs of accumulation but not a confirmed bullish reversal, warranting a cautious outlook.

ambcrypto50m ago

Bitcoin: BTC loses half its value, yet THIS metric shows quiet accumulation

ambcrypto50m ago

Can Ethereum keep beating Bitcoin in Q3? Tom Lee’s ETH thesis under pressure

Tom Lee's bullish Ethereum thesis faces pressure as Q3 begins. While the ETH/BTC ratio has rallied nearly 5% on optimism surrounding the potential passage of the CLARITY Act, Ethereum's on-chain fundamentals lag. Key metrics like DeFi Total Value Locked and stablecoin supply remain weak. Conversely, Bitcoin is seeing renewed institutional demand, with BlackRock resuming significant purchases. The debate balances Ethereum's regulatory optimism against Bitcoin's strong institutional inflows. For ETH/BTC's Q3 outperformance to sustain, Ethereum's underlying DeFi activity needs to recover.

ambcrypto1h ago

Can Ethereum keep beating Bitcoin in Q3? Tom Lee’s ETH thesis under pressure

ambcrypto1h ago

Just Now, Claude Fable 5 Gets a 5-Day Extension, Money-Saving Guide Here

Anthropic has extended the free trial access period for its most advanced Claude Fable 5 model to July 12th, giving users five extra days. The article details cost-saving strategies for maximizing value from Fable 5 and similar top-tier models. Key methods include extracting Fable 5's "reasoning patterns" to replicate them in other models like Claude Opus, and using it to build knowledge bases or optimize workflows. Furthermore, Anthropic officially recommends two multi-model architectures to drastically reduce costs while maintaining high performance. In the "Advisor" mode, a less expensive model like Claude Sonnet 5 handles most of the work, only consulting Fable 5 for critical decisions. In the "Orchestrator" mode, Fable 5 acts as a planner, delegating token-intensive tasks like reading web pages to Sonnet 5 "worker" agents. Benchmarks show these approaches can achieve over 90% of Fable 5's standalone performance for tasks like coding or fact verification, while slashing costs by 37% to over 50%. A case study on verifying national park policies showed the orchestrator team was 2.5x cheaper and 3x faster than using Fable 5 alone. The core message is that the most efficient way to use premium models is not to run them for entire tasks, but to strategically deploy them for high-level reasoning while offloading bulk work to more affordable models.

marsbit1h ago

Just Now, Claude Fable 5 Gets a 5-Day Extension, Money-Saving Guide Here