OpenSea выходит на мобильный рынок после сделки с Rally, планируя создать «универсальное ончейн-приложение»

cryptonews.ruPublicado em 2025-05-09Última atualização em 2025-07-09

OpenSea приобрела Rally — ориентированную на мобильные устройства Web3-платформу — чтобы вывести торговлю токенами и NFT на смартфоны.

Объявление о сделке, опубликованное во вторник, свидетельствует о намерении OpenSea разработать мобильную платформу для торговли цифровыми активами.

«Пристегните ремни. Будущее торговли NFT и токенами теперь помещается в вашем кармане», — написал OpenSea в X.

По словам Rally, пользователи смогут опробовать новый мобильный опыт OpenSea «позже в этом году».

Сооснователи Rally Крис Маддерн и Кристин Холл войдут в руководящую команду OpenSea. Они обещают привнести в платформу экспертизу Rally в области мобильной торговли токенами, а Маддерн займет пост технического директора OpenSea.

В OpenSea заявили, что этот шаг поможет создать «универсальное ончейн-приложение», намекнув на дальнейшее расширение за пределы NFT в другие Web3-сервисы.

OpenSea продолжает расширяться за рамки торговли NFT

Сделка знаменует стремление OpenSea войти в мобильный сегмент и объединить торговлю токенами и NFT в единый опыт. В публикации на X Маддерн сообщил, что команда работает над продуктом, который «расширит ончейн-экономику для создателей, коллекционеров и трейдеров».

Технический директор OpenSea пояснил, что цель заключается в создании платформы, где токены будут дополнять NFT, а не конкурировать с ними. Он также отметил, что децентрализованные финансы (DeFi) и перпетуальные контракты должны быть простыми и доступными.

Маддерн подчеркнул, что OpenSea серьезно относится к мобильному направлению, поскольку пользователи проводят там большую часть времени. Компания также изучает возможности искусственного интеллекта для повышения безопасности и понятности криптовалют для пользователей.

Технический директор не уточнил, как именно OpenSea планирует интегрировать ИИ-технологии в мобильную платформу.

Cointelegraph обратился за комментарием к OpenSea, но на момент публикации ответ не был получен.

Мобильное расширение OpenSea после публичного запуска OS2

Выход Web3-платформы на мобильный рынок последовал за майским релизом обновленной версии «OS2», которая позволяет пользователям торговать токенами и поддерживает взаимозаменяемые токены.

Тогда глава маркетинга OpenSea Адам Холландер рассказал, что платформа всегда считала необходимым обеспечить доступ ко всем ончейн-активам в одном месте.

Leituras Relacionadas

Mining Companies' High-Stakes Bet on AI: Valuations Enter a Phase of Divergence, Uphill Battle Ahead

Crypto miners are facing increasing pressure amid weak digital asset markets, pushing many to pivot towards AI infrastructure as a new growth avenue. Leveraging existing assets like power resources, land, and cooling systems, miners can convert facilities for AI compute at lower costs. This transition narrative has fueled significant stock rallies, with some miners' shares outperforming Bitcoin year-to-date. Market valuations have diverged, with pioneers like CoreWeave reaching a multi-billion dollar valuation, while others lag. The shift is driven by AI's explosive demand for data centers and compute, with clients willing to pay premiums for power and space. However, the transformation is capital-intensive, requiring massive funding for GPU procurement and facility upgrades, with an estimated short-term funding gap of $50 billion. Miners are raising capital through convertible bonds, Bitcoin sales, and securing long-term AI contracts to finance the build-out. While AI offers greater long-term potential than mining, success hinges on execution, timely project delivery, and securing quality tenants, moving the valuation focus from power capacity to cash flow and return metrics.

marsbitHá 28m

Mining Companies' High-Stakes Bet on AI: Valuations Enter a Phase of Divergence, Uphill Battle Ahead

marsbitHá 28m

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

Claude Code Usage Report Summary (Based on ~400k sessions) Core Finding: In agentic programming with Claude Code, a clear division of labor has emerged: humans primarily decide *what* to build (planning decisions), while Claude decides *how* to build it (execution decisions). Key Insights: 1. **Effectiveness is not limited to programmers.** In code-generation tasks, success rates for users in non-technical fields (law, finance, management, research) are nearing those of software engineers. What matters most is the user's domain expertise and understanding of the problem to be solved. 2. **Domain expertise drives success and efficiency.** Sessions where users exhibited "expert" proficiency in the task's domain saw verified success rates double compared to "novice" sessions. Experts also delegated more work per instruction, with Claude executing more actions and producing more output. 3. **AI is amplifying, not replacing, domain knowledge.** Claude Code lowers the *implementation* barrier, not the *judgment* barrier. The value of knowing the "what" and "why" is increasing relative to just knowing the "how" to code. 4. **Usage is evolving.** Over a 7-month period (Oct '25 - Apr '26), the share of sessions for debugging halved, while use for software operations, data analysis, and non-code writing roughly doubled. The estimated economic value of typical tasks increased by ~25%. Conclusion: The data suggests coding agents are making programming background less critical for completing technical tasks. However, they reward and amplify deep domain understanding. The ability to successfully direct an AI agent stems more from mastery of a specific field than from coding skill itself. The primary gains come from being competent in a domain; deep specialization adds only marginal additional advantage. This may signal a shift where software creation becomes integrated into various professions.

marsbitHá 34m

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

marsbitHá 34m

Strategy's Preferred Stock STRC Unpegs by 11%, Can Its Perpetual Motion Machine Keep Spinning?

The preferred stock STRC issued by Strategy (MicroStrategy) has depegged over 11% from its $100 target par value, raising questions about the sustainability of the company's capital flywheel strategy. STRC, a perpetual preferred stock designed to trade around $100, serves as a key engine for Strategy's expansion, allowing it to raise fiat currency via at-the-market offerings to buy Bitcoin without diluting common shareholder equity. Its depegging, despite dividend rate hikes, suggests market concerns extend beyond yield to the core stability of Strategy's model. Analysts point to potential leveraged unwinding and, more critically, worries about Strategy's liquidity. While the company cites its massive Bitcoin holdings as covering decades of dividends, a recent small BTC sale—a first—has shaken confidence in its "never sell" narrative. If STRC remains discounted, impairing Strategy's fundraising ability, fears may grow that the company could be forced to sell Bitcoin to meet obligations, potentially turning a major market buyer into a seller and exerting significant downward pressure on Bitcoin's price.

marsbitHá 1h

Strategy's Preferred Stock STRC Unpegs by 11%, Can Its Perpetual Motion Machine Keep Spinning?

marsbitHá 1h

Nobel Laureate Becomes New Employee at Anthropic

Nobel laureate and AlphaFold lead John Jumper has left Google DeepMind after nearly nine years to join AI company Anthropic. Jumper, who co-won the 2024 Nobel Prize in Chemistry for his work on the protein-structure-predicting AI, led the AlphaFold project from its early stages, revolutionizing structural biology by predicting hundreds of millions of protein structures. His departure follows closely that of Transformer co-inventor Noam Shazeer, who recently left Google for OpenAI, marking a significant talent drain for the tech giant. Analysts suggest top AI researchers are seeking environments where individual impact can more directly shape a company's trajectory. Anthropic's hiring of Jumper signals a major push into AI for life sciences. The company recently acquired biotech firm Coefficient Bio and is building wet labs, aiming to drastically accelerate drug discovery and biomedical research. This move aligns with a broader trend, as OpenAI and Google DeepMind (via Isomorphic Labs) are also heavily investing in AI-driven biology and healthcare. The stage is now set for intensified competition among AI leaders to redefine life sciences through artificial intelligence.

marsbitHá 1h

Nobel Laureate Becomes New Employee at Anthropic

marsbitHá 1h

Strategy’s STRC Drop Shows The Risk Behind Bitcoin-Linked Credit Products

Strategy Inc.'s (formerly MicroStrategy) preferred stock, STRC, traded sharply below its $100 reference value during recent market stress, hitting an intraday low of $82.53. The company's CEO framed the drop as a "leverage flush"—forced selling by investors using borrowed money—rather than a fundamental default event. This distinction highlights that the selloff resulted from market mechanics and liquidity pressures, not missed payments by the issuer. The episode underscores the specific risks embedded in Bitcoin-linked credit products, which can behave differently from holding Bitcoin or common stock. As Bitcoin treasury strategies become more complex and financialized, instruments like preferred shares introduce additional layers of risk, including leverage, liquidity constraints, and sensitivity to Bitcoin's volatility. The STRC movement serves as a warning about the fragility of these structures in stressed markets, even when the underlying company remains solvent.

bitcoinistHá 7h