Юрист: децентрализованные рынки предсказаний — не гемблинг

cryptonews.ruPublicado em 2023-04-24Última atualização em 2025-01-24

Регуляторы нескольких юрисдикций запретили Web3-платформу рынков предсказаний Polymarket, классифицировав ее как площадку для гемблинга. Однако адвокат Аарон Броган считает аргументы властей несостоятельными, пишет CoinDesk.

Решение запретить платформу приняли Сингапур, Таиланд и Тайвань. Polymarket также столкнулась с претензиями надзорных и правоохранительных органов во Франции и США.

По мнению Брогана, власти безосновательно приравнивают децентрализованные рынки прогнозов к традиционным букмекерам. Последние, по сути, делают ставки против своих клиентов, устанавливая определенные коэффициенты по выплатам. От этого значения, а также исхода события зависит получаемый игорными конторами доход.

Платформы вроде Polymarket и Kalshi выступают в роли нейтральных посредников, сопоставляя ставки пользователей. Площадки не принимают чью-либо сторону и зарабатывают на транзакционных комиссиях.

«Рынки прогнозов не являются азартными играми, потому что они не структурированы для этого. Это инструменты для понимания, хеджирования и создания общественных благ. Вот что делает их принципиально другими», — подчеркнул юрист.

В США подобная деятельность регулируется Законом о товарных биржах на федеральном уровне, а участники должны регистрироваться в CFTC в качестве Designated Contract Markets (DCM). Этот статус исключает претензии на уровне штатов касательно организации азартных игр.

Kalshi активно добивалась получения лицензии DCM и недавно запустила рынок ставок на Супербоул. Polymarket не зарегистрирована в Соединенных Штатах и, возможно, с этим связаны ее проблемы с правоохранителями, допустил эксперт. Обвинения могли выдвинуть местные власти.

Crypto.com подала в CFTC заявку на самосертификацию в качестве DCM для своей площадки Sports. Такой шаг предполагает, что в случае отсутствия ответа регулятора в течение 24 часов заявитель может расценивать это как одобрение деятельности. Эксперты уже задаются вопросом, насколько приход в отрасль децентрализованных платформ угрожает традиционным беттинг-конторам.

«Если они продолжат множится, а CFTC не предпримет действий (чего пока не сделала), они в конечном итоге съедят обед этих букмекеров. Это отрасль стоимостью $21 млрд, а новые продукты будет намного лучше», — заключил Броган.

Напомним, CFTC запросила у Coinbase данные клиентов в рамках расследования касательно Polymarket.

Leituras Relacionadas

Chainlink Joins Project Pangea Push To Modernize FX Settlement For 47 Banks

Chainlink is participating in Project Pangea, a major initiative to modernize foreign exchange (FX) settlement between Europe and South Korea. The project involves FairSquareLab and a consortium of over 47 European and South Korean banks, managing more than $10 trillion in assets. The goal is to dramatically speed up FX settlement from the traditional T+2 cycle to near-instant T+0 settlement for a trade corridor exceeding $150 billion annually. This will be achieved using regulated euro- and Korean won-pegged stablecoins for atomic payment-versus-payment settlements, eliminating counterparty risk and delays. Critically, Chainlink is not replacing the existing SWIFT messaging network. Instead, its CCIP and Data Streams services will act as blockchain middleware, translating standard SWIFT/ISO 20022 messages into atomic swaps on a dedicated ledger. This allows banks to keep their familiar workflows while gaining faster settlement on the backend. Targeting live transactions by mid-2027, Project Pangea represents a significant institutional use case for Chainlink, positioning its technology as a bridge between legacy financial systems and new tokenized settlement rails.

bitcoinistHá 1m

Chainlink Joins Project Pangea Push To Modernize FX Settlement For 47 Banks

bitcoinistHá 1m

US Large Models Moving Towards Closure, In the Name of Security

Summary: The U.S. government has intervened to regulate the release of advanced AI models, citing national security concerns. This analysis details the events surrounding the controlled rollout of Anthropic's Mythos 5 and Fable 5 models and OpenAI's restricted GPT-5.6 release, following a Trump administration executive order. It questions the technical basis for the government's actions, noting that internal company safety assessments did not deem the models an unacceptable risk. The article draws parallels to the 1990s "Crypto Wars," where similar attempts to control encryption technology ultimately failed, harming U.S. competitiveness. Experts warn that opaque, non-technical regulatory processes could stifle innovation, concentrate power, and undermine the economic logic of the AI industry, especially as Chinese models embrace open-source development. The piece concludes that this marks a potential turning point toward a pre-approval era for U.S. AI, creating uncertainty for developers and potentially slowing the broad societal diffusion essential for a technology's success.

链捕手Há 1h

US Large Models Moving Towards Closure, In the Name of Security

链捕手Há 1h

Maple Finance rallies 20% after Kraken partnership – Will SYRUP’s rise continue?

Maple Finance's native token SYRUP surged roughly 20% following a partnership announcement with crypto exchange Kraken to provide on-chain, asset-backed financing. This development, coupled with a broader market recovery, fueled significant trading volume, particularly from U.S. investors. The protocol's fundamentals strengthened, with its Total Value Locked (TVL) increasing by $201 million to around $2.05 billion and Q2 gross revenue reaching $24.16 million. An ongoing token buyback program and rising Open Interest in perpetual markets, alongside a positive but modest Funding Rate, indicate sustained bullish sentiment. The overall outlook remains positive, suggesting potential for further short-term gains for SYRUP.

ambcryptoHá 2h

Maple Finance rallies 20% after Kraken partnership – Will SYRUP’s rise continue?

ambcryptoHá 2h

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

Despite Ethereum (ETH) being down 20-45% year-to-date amid broader crypto weakness, institutional and whale buying activity suggests growing long-term conviction. SharpLink, after an eight-month pause, purchased 5,000 ETH and later added $45.54 million in LSETH, increasing its total holdings significantly despite substantial unrealized losses. Similarly, a new whale wallet accumulated over 18,000 ETH worth $28.9 million in nine days, indicating strategic positioning for future price movements rather than short-term trading. However, this accumulation contrasts with spot Ethereum ETFs, which saw net outflows of $12.85 million recently, highlighting a divergence between direct treasury/whale buyers and ETF investors. While the persistent buying from these large holders may gradually ease selling pressure, a sustained recovery for Ethereum still depends on a reversal in ETF flows and a broader improvement in network demand and market sentiment.

ambcryptoHá 6h

Ethereum down 45% YTD – So why do SharpLink and whales keep buying?

ambcryptoHá 6h

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

DeepSeek has updated its DeepSeek V4 model with the DSpark speculative decoding framework, achieving a significant 60-85% speedup in generation for Flash models and 57-78% for Pro models while maintaining the same overall throughput. This engineering-focused update, rather than a core architectural change, introduces DSpark to address latency and throughput bottlenecks in high-concurrency production environments. DSpark combines high-throughput parallel generation with adaptive load-aware verification. Its key innovations include a semi-autoregressive generation architecture to model dependencies within token blocks and a hardware-aware confidence-scheduled verification system. This system uses a confidence head to predict token acceptance probabilities, allowing it to dynamically optimize verification length per request and allocate compute only to tokens with the highest expected payoff. The asynchronous scheduler is designed for real-world deployment, ensuring zero-overhead scheduling and continuous CUDA graph replay while preserving the target model's output distribution. In tests across mathematical reasoning, code generation, and daily dialogue, DSpark outperformed state-of-the-art models like Eagle3 and DFlash, increasing average acceptance length by 26.7%-30.9% and 16.3%-18.4% respectively on Qwen3 target models. DeepSeek also open-sourced DeepSpec, a full-stack codebase for training and evaluating speculative decoding draft models, providing a standardized toolkit that includes data preparation tools, model implementations, training code, and evaluation scripts.

marsbitHá 7h

Just now, DeepSeek V4 updates with DSpark, improving inference speed by 80%

marsbitHá 7h

Trading

Spot