Coinbase открыла ИИ-агентам доступ к криптоплатежам

cryptonews.ruPubblicato 2025-03-22Pubblicato ultima volta 2025-10-23

Крупнейшая в США криптобиржа Coinbase запускает систему Payments MCP, которая позволит языковым моделям вроде Claude от Anthropic и Gemini от Google получать доступ к криптокошельку, фиатному шлюзу и платежам.

Решение разработано подразделением Coinbase Developer Platform. Сервис предоставляет ИИ-агентам «те же финансовые ончейн-инструменты, что и людям — от кошельков и фиатных шлюзов до платежей в стейблкоинах».

«Мы по-прежнему считаем, что каждый агент заслуживает иметь собственный кошелек», — говорится в анонсе.

Вице-президент Coinbase по развитию бизнеса Дэн Ким и глава инженерного отдела Coinbase Developer Platform Эрик Реппел отметили, что криптосети и стейблкоины — идеальная инфраструктура для «агентской коммерции».

«Они действуют со скоростью кода, бесшовно интегрируются с API и позволяют автономным агентам работать без человеческого трения», — написали разработчики.

Payments MCP можно запускать локально на компьютере, получать к нему доступ с минимальным участием пользователя и настраивать под конкретные задачи агента.

Другие особенности:

создание кошелька и вход по e-mail — без API-ключей и настройки разработчика;
калибровка через удобный интерфейс — конфигурация агента, лимиты расходов, управление транзакциями;
интеграция x402 — позволяет искать API и сервисы, за которые агент может заплатить прямо в интерфейсе.

Работу Payments MCP протестировали на Claude Desktop, Claude Code, Codex, Gemini и Cherry Studio. Поддержка других моделей появится позже.

Развитие ИИ — убытки банков

По оценке McKinsey, банки рискуют потерять до $170 млрд прибыли, если не перестроят свои бизнес-модели под новый тренд — использование клиентами искусственного интеллекта для управления личными финансами. Об этом сообщает Bloomberg.

В отчете отмечается, что благодаря ИИ-ботам люди меньше будут хранить средства на счетах с низкой доходностью.

«Представьте, у вас есть агент, который говорит: “Эй, ты можешь сэкономить $2000 в год, просто переведя деньги на другой счет”. Это устраняет значительную часть инерции, которая есть в нынешней системе», — объяснил старший партнер McKinsey Прадип Патиатх.

По данным экспертов, потребители держат $23 трлн из $70 трлн на счетах с практически нулевой ставкой, остальные средства приносят небольшой доход.

Напомним, в мае Coinbase представила инструмент для онлайн-платежей x402. Он предназначен для перевода стейблкоинов по стандартным интернет-протоколам и позволяет ИИ-агентам совершать автономные сделки.

Letture associate

00s Postgraduate from Tsinghua University Starts Business on 'Neural Interface': Turning Human Muscle Reactions into Tokens

Title: "Post-00s Tsinghua PhD Student Founds Startup 'Neuro Interface': Turning Human Muscle Responses into Tokens" Summary: OriginFlow, a startup founded by 2001-born Tsinghua PhD candidate Qin Shentao, is pioneering a new approach for embodied AI data collection using non-invasive surface electromyography (sEMG). Their NeuroScale system employs a wristband (OriginKitGen 1.0) to capture neural signals from forearm muscles, which are then fused with first-person vision and IMU data. A base model called PULSE reconstructs hand poses, contact forces, and tendon dynamics from these signals, encoding them into standardized "Human Tokens"—a foundational representation for physical interaction data aimed at training robots. This method addresses the scarcity of high-quality physical interaction data in embodied AI. The company has secured over 500 million RMB in funding and outlines a three-phase vision: collecting human motion data (From Human), creating always-on AI hardware (With Human), and ultimately augmenting human capabilities (Enhance Human). OriginFlow aims to scale data collection to "trillions of hours" by making devices unobtrusive enough for daily wear.

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00s Postgraduate from Tsinghua University Starts Business on 'Neural Interface': Turning Human Muscle Reactions into Tokens

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GPT-5.6 Sol Major Price Cut: OpenAI Brings Price War to Its Flagship Model

OpenAI has slashed the API pricing for its flagship model GPT-5.6 Sol by over 20%, effective immediately. Input token costs dropped from $5 to $4 per million, while output tokens saw a more significant 33% reduction from $30 to $20 per million. This makes high-volume API users, especially those with output-heavy workloads like code generation, the biggest beneficiaries, with potential savings exceeding 30%. The price cut applies to API and credit-based usage, but subscription plans (Pro, Plus, Business) and their included allowances remain unchanged. OpenAI attributes the降价 to improved model efficiency and infrastructure scale, citing a 20% reduction in end-to-end service costs. Industry analysts view this move as a strategic play in the competitive AI landscape. It is seen as direct pressure on rival Anthropic, which is currently in its IPO roadshow phase aiming for a late 2024 listing. Simultaneously, it serves as a defensive response against aggressively priced models from Chinese competitors like DeepSeek. In related news, OpenAI's coding assistant Codex surpassed 20 million weekly active users. To mark the milestone, users received a one-time credit reset. The company also clarified policies against reselling or sharing subscription API quotas.

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GPT-5.6 Sol Major Price Cut: OpenAI Brings Price War to Its Flagship Model

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Google's TPU Father Snatched by Anthropic Overnight

Former Google executive Amir Salek, known as the "father of the TPU," has joined AI startup Anthropic to lead its newly formed custom silicon division. This major hire signals Anthropic's push to develop its own specialized AI chips, aiming to reduce reliance on costly Nvidia GPUs and optimize hardware specifically for its Claude models. Salek, who oversaw the development of Google's first seven generations of Tensor Processing Units, brings deep expertise in chip architecture and business strategy. Anthropic is aggressively building its in-house hardware capabilities. Earlier this year, the company also recruited Clive Chan, a core engineer from OpenAI's secretive internal chip project "Jalapeno." This move combines talent from both Google's and OpenAI's chip programs. The motivation behind this strategy is to control soaring compute costs—Anthropic's 2026 compute spending is estimated at $19 billion—and to achieve better performance through co-designing models and hardware. Beyond internal development, Anthropic is also securing future supply by placing a $250 million pre-order with UK AI chip startup Fractile and making infrastructure deals to secure data center capacity and power. The competition among AI giants is now extending from software algorithms to the foundational silicon layer, with the goal of gaining a decisive edge in efficiency and cost for the race toward AGI.

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Google's TPU Father Snatched by Anthropic Overnight

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Zcash ETF Moves One Step Closer: Wall Street to Pack Privacy Coin into Securities Accounts for the First Time

The Grayscale Zcash Trust has filed its fifth amended registration statement with the SEC, aiming to convert into the first U.S. spot ETF directly holding a privacy coin (ticker ZCSH). Key terms include a 2.5% annual fee, Bank of NY Mellon as administrator, and Coinbase for custody and brokerage. The trust held ~388,700 ZEC (~$155M) as of June 30; its AUM surged to ~$260M by August 21, driven by ZEC's price rally from $250 to over $800. The ETF represents a major identity shift for Zcash, a coin previously delisted by many exchanges and flagged by regulators for its anonymity. However, the ETF strips away Zcash's core privacy feature. To ensure compliance, all trust-held ZEC will be stored in transparent addresses, making transactions auditable and traceable. Zcash's optional privacy—unlike Monero's mandatory privacy—is the key compromise enabling this Wall Street entry. Market pricing reflects aggressive optimism for institutional access, but challenges remain. Only ~22% of circulating ZEC is in shielded pools; if ETF demand siphons transparent coins, Zcash's privacy narrative weakens. Competition from programmable privacy on Ethereum L2s could also dilute its value proposition. With prices already up over 200% in four months, the rally may have prematurely priced in the ETF approval, leaving limited safety margin. Grayscale's move highlights traditional finance's capacity to repackage regulatory-edge assets into compliant products, raising questions about the future boundaries of crypto ETF adoption.

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Zcash ETF Moves One Step Closer: Wall Street to Pack Privacy Coin into Securities Accounts for the First Time

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Attention: Large-Scale Token Unlocks Expected in 16 Altcoins! Here is the Daily and Hourly List

The cryptocurrency market experienced a significant rally last week, with Bitcoin rising 22%, Ethereum 30%, and XRP 51%. This growth was primarily driven by the US Treasury's decision to increase bond buybacks to ease upward pressure on interest rates. However, the market faces a wave of substantial token unlocks across 16 altcoins this week (all times UTC+3). Notable unlocks include: * **August 25:** Unlocks for Plaasma (XPL), Humanity (H), ChainOpera AI (COAI), Perle Labs (PRL), Iris (IRYS), and OVERTAKE (TAKE). The largest by percentage of market cap is Humanity (H) at 14.71%. * **August 26:** Major unlocks for GateToken (GT) worth $51.8M and Huma Finance (HUMA) representing 26.47% of its market cap. * **August 27:** AEON (AEON) unlock worth 26.11% of its market cap. * **August 28:** Unlocks for Grass, Corn, and Sign. Sign's unlock is notable at 13.02% of its market cap. * **August 29:** Unlocks for Falcon Finance (FF) and Midnight (NIGHT). * **August 30:** Unlock for BSquared Network (B2). Investors are advised to monitor these events as the release of large token volumes can impact market prices. This is not investment advice.

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Attention: Large-Scale Token Unlocks Expected in 16 Altcoins! Here is the Daily and Hourly List

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