Илон Маск анонсировал запуск платежного сервиса X Money

cryptonews.ruPublished on 2025-11-16Last updated on 2025-11-16

Илон Маск сообщил о появлении платежного сервиса X Money.
Такое заявление он сделал на фоне масштабного обновления экосистемы X — работу мессенджера XChat.
Таким образом Маск намерен сделать X «приложением для всего».

Миллиардер и владелец X Corp. Илон Маск заявил, что вскоре состоится запуск X Money — нового платежного сервиса в экосистеме X (бывший Twitter), который он позиционирует как часть превращения соцсети в всеохватывающее суперприложение.

𝕏 just rolled out an entire new communications stack with encrypted messages, audio/video calls and file transfer.

𝕏 Money comes out soon.

Join us if you want to build cool products.

𝕏 will be the everything app. https://t.co/7DyLNEgNnw
— Elon Musk (@elonmusk) November 13, 2025

По словам Маска:

«X только что выпустила полностью новый коммуникационный стек с зашифрованными сообщениями, аудио-/видеозвонками и передачей файлов. […] X станет приложением для всего».

Маск также пригласил разработчиков присоединяться к команде.

Кроме того, предприниматель и комментатор Марио Науфал сообщил, что X осуществила «самое большое обновление системы обмена сообщениями на сегодняшний день».

Он отметил, что платформа перешла к XChat — единому почтовому ящику, который объединяет обычные и полностью зашифрованные чаты:

«Больше никаких разрозненных меню. Больше никаких поисков “зашифрованной” вкладки. Все находится в одном четком канале».

Напомним, что в начале июня 2025 года Маск представил XChat — сервис обмена сообщениями. Функция получила обмен файлами, исчезающие сообщения, групповые чаты и другие нововведения.

XChat имеет E2E-шифрование для сообщений, медиа, файлов и даже аудио/видеозвонков — Маск называет это «шифрованием в стиле биткоина».

Науфал также прогнозирует дальнейшее развитие, включая кросдевайсную синхронизацию и интеграцию с будущими функциями суперприложения, добавляя:

«X снова сделал обмен сообщениями современным».

Отметим, что в конце марта Маск передал права на соцсеть X своему стартапу по искусственному интеллекту (ИИ) xAI. Сделка оценила xAI в $80 млрд, а X — в $33 млрд (включая долг в $12 млрд).

Уже в начале октября предприниматель стал первым человеком в истории с состоянием $500 млрд. Рост его капитала обеспечили акции Tesla, а также доли в SpaceX и xAI.

В конце октября Маск запустил Grokipedia — онлайн-энциклопедию с открытым кодом, которая позиционируется как независимая альтернатива Википедии. Контент могут редактировать пользователи, но окончательное слово остается за ИИ-моделью Grok. Маск заявил, что цель платформы — «вся правда и ничего, кроме правды».

India Maintains Tough Crypto Position as RBI Renews Warning Against Digital Assets

India's Reserve Bank of India (RBI) has renewed its warning against cryptocurrencies and stablecoins, advocating for restrictions to protect the country's financial system from potential risks like contagion and threats to monetary sovereignty. The central bank expressed concerns that stablecoins, particularly foreign-currency-backed ones, could undermine India's monetary control and government revenue. Simultaneously, tax authorities are facing significant challenges in tracking and taxing crypto transactions. Reports indicate low compliance, with less than a quarter of an estimated 645,000 traders declaring their crypto activities for a recent financial year. Issues stem from offshore exchanges, private wallets, and peer-to-peer transactions obscuring ownership. In response, new data reporting requirements for exchanges are set for 2026. Despite the absence of comprehensive legislation and the RBI's tough stance, India remains a major global crypto market with an estimated 39 million holders. Various government bodies continue to evaluate long-term regulatory and accounting frameworks for digital assets.

TheNewsCrypto10m ago

India Maintains Tough Crypto Position as RBI Renews Warning Against Digital Assets

TheNewsCrypto10m ago

Ethereum holds Q3 gains as Tether burns $2.5B – Yet THIS catalyst remains

Ethereum's upcoming Glamsterdam upgrade, entering final testing for H2 2026, aims to boost scalability through parallel transaction processing and a gas limit increase. This infrastructure catalyst arrives as Ethereum faces on-chain challenges: DeFi liquidity has weakened with a significant drop in TVL, exemplified by Aave's decline, and stablecoin capital is contracting. Tether's recent $2.5B USDT burn on Ethereum further reduces network liquidity. While ETH gained 11% in early Q3, sustaining momentum requires a recovery in DeFi activity. The upgrade provides a fundamental bullish narrative, but macro uncertainty and liquidity pressures may limit upside, raising questions about a strong H2 cycle.

ambcrypto51m ago

Ethereum holds Q3 gains as Tether burns $2.5B – Yet THIS catalyst remains

ambcrypto51m ago

Embodied Intelligence 'Gaokao' is Insanely Hard, Humans Score 100, Best Model Only 12.8

Embodied AI Faces a Daunting "Everest": New Benchmark Reveals Huge Gap Between Models and Humans A comprehensive new benchmark for robotic manipulation, RoboDojo, has been released, painting a stark picture of the current state of embodied AI. It serves as a unified evaluation platform covering both simulation and real-world robot tasks. The benchmark assesses five core capabilities: Generalization (adapting to new scenes/objects), Memory, Precision manipulation, Long-Horizon multi-step tasks, and Open semantic understanding. It includes 42 simulation tasks and 18 standardized real-world tasks across three dual-arm robot platforms. The results are sobering. In simulation, the best-performing generalist robot policy achieved an average success rate of only 8.80%. Performance in the real world was slightly higher but still low, with the top model succeeding 12.8% of the time on average. In stark contrast, human experts scored 76.03% in simulation and 100% in real-world tests. The benchmark highlights significant, uneven gaps in current models' abilities. While some excel in specific areas like visual recognition or simple actions, they struggle with reliability, especially in long-horizon tasks where errors accumulate and in open-ended semantic instructions. The low scores, particularly in real-world deployment with physical uncertainties like camera noise and contact dynamics, underscore that today's models are far from being robust, general-purpose operational robots. RoboDojo is more than just a ranking; it's an infrastructure designed for fair, reproducible comparison. Its companion system, XPolicyLab, standardizes the interface for different models to be evaluated. Maintained by an academic consortium without commercial ties, it aims to provide a community-wide "altitude meter" to track genuine progress toward reliable and generalizable robot manipulation.

marsbit1h ago

Embodied Intelligence 'Gaokao' is Insanely Hard, Humans Score 100, Best Model Only 12.8

marsbit1h ago

Behind ANSEM's 300% Weekly Surge: The Recovery and Traps of Solana Meme Coins

The meme coin ANSEM surged nearly 299% in a week, driving a resurgence in Solana-based meme token activity. Data from DeFiLlama shows Pump.fun's weekly DEX volume reached $5.33 billion, with July 4th marking the platform's first $1 billion daily volume since April. This revival saw a spike in new token launches and heightened trading activity, with memes again accounting for over 20% of Solana's weekly transaction volume. However, industry reports highlight significant risks. The average meme coin holding time has plummeted to around 100 seconds, and sophisticated bots often front-run retail investors, acquiring large portions of supply at launch before dumping. Research analyzing thousands of projects indicates widespread market manipulation, with a majority of top-gaining tokens showing signs of wash trading and pool manipulation. While meme coins effectively attract new users and generate hype for the Solana ecosystem, the current rally raises the critical question of whether this cycle can break free from the established pattern where late-arriving retail traders become exit liquidity for early bots and coordinated groups. The market's future trajectory hinges on whether the momentum can be sustained or if it will fade, leading traders back to major assets like SOL.

Foresight News1h ago

Behind ANSEM's 300% Weekly Surge: The Recovery and Traps of Solana Meme Coins

Foresight News1h ago

Zuckerberg's 'Mango' Image Generation Model Trails Only GPT Image 2, It Learned to Revise Prompts on Its Own

Meta's MSL has launched Muse Image, an advanced image generation model nicknamed "Mango," which ranks second globally in text-to-image benchmarks, closely trailing OpenAI's GPT Image 2. Its key innovation is agent-like behavior: it searches for factual information, writes code for charts, and, most notably, has developed self-correction abilities through reinforcement learning, allowing it to revise its own outputs without explicit programming. This shift emphasizes reasoning over immediate generation. Integrated with Meta's ecosystem, Mango connects with the Muse Spark language model for complex tasks and features a unique "@" function that can incorporate public Instagram photos into generated images—raising privacy concerns as it's enabled by default. The model is directly accessible in Meta AI, Instagram, and WhatsApp, leveraging Meta's vast user base for distribution rather than competing solely on image quality. Accompanying Mango is the preview of Muse Video, a video generation model with integrated audio, currently ranked third in its category. All Mango-generated images include an invisible, persistent watermark (Content Seal) for AI identification, alongside a public detection tool. While Mango advances "thinking" image models, its use of social data poses new ethical questions about consent and digital boundaries.

marsbit2h ago

Zuckerberg's 'Mango' Image Generation Model Trails Only GPT Image 2, It Learned to Revise Prompts on Its Own