Криптопроект Pyth Network представляет сервис ставок

cryptonews.ruPubblicato 2023-03-22Pubblicato ultima volta 2024-09-22

Pyth представил «Ставку целостности Oracle (OIS)», функцию, предназначенную для повышения подотчетности между источниками данных за счет введения вознаграждений и штрафов за ставки.

Цель заключается в предоставлении высококачественных данных о ценах в режиме реального времени в экосистему DeFi.

OIS вводит децентрализованный стейкинг в сети Pyth, позволяя владельцам ПИТ токенов, а поставщики данных могут делать ставки на токены и получать вознаграждения, связанные с качеством предоставляемых ими данных. Чтобы обеспечить надежность данных, в систему включен механизм снижения затрат, наказывающий импортеров, предоставляющих неточные данные. Эта структура обеспечивает подотчетность как создателей, так и издателей данных, помогая создать надежную сеть.

Программа OIS управляется Pyth DAO, который отслеживает критические обновления и голосует по ключевым параметрам, таким как вознаграждение за ставки и критерии сокращения. Слэшинг — это часть метода консенсусного механизма «доказательство доли», позволяющего наказать валидаторов за плохие намерения. DAO также решает, как распределяются средства, и может вводить новые механизмы вознаграждения, включая внутрисетевой доход, генерируемый оракулом.

В этой системе участники могут делегировать свои токены PYTH поставщикам данных, тем самым увеличивая свой потенциал вознаграждения. Однако, если провайдер не соответствует стандартам сети, поддерживающие его стейкеры могут быть оштрафованы, что будет способствовать более избирательному и ответственному подходу к функции ставок. Процесс размещения ставок прост и включает в себя четырехэтапный метод, при котором участники ставят токены, выбирают эмитентов и получают вознаграждения в зависимости от результатов деятельности эмитентов после короткого периода разминки.

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BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

The Bitcoin mining industry is undergoing its most complex structural adjustment since inception. Despite Bitcoin's price holding near $61,000 and the network hash rate approaching a record 1 ZH/s, miner profitability is deteriorating. The industry is operating close to its breakeven point, with the 2028 halving expected to accelerate consolidation. The challenges extend beyond the halving's subsidy reduction; the industry's revenue model has yet to successfully transition towards a fee-driven structure. Increasingly, mining companies are evolving from simple Bitcoin producers into infrastructure and energy operators, including providers of AI/HPC computing power. Competition is shifting from pure hash rate expansion to business model upgrades. Economic pressure is evident. The theoretical daily mining revenue at current prices is around $78 million, yet the actual figure is only about $33 million—a 136% gap. Transaction fees remain low at roughly $220k daily, far below historical implied levels. With a current estimated industry-wide breakeven price near $65,000, mining alone is struggling to generate ideal profits. The 2028 halving is projected to push the fundamental production cost floor to approximately $93,289. This will likely accelerate a shift towards consolidation among larger, well-capitalized miners with diversified revenue streams. Competitive advantage will belong to institutionalized players with access to low-cost energy, AI/HPC hosting operations, and stronger balance sheets. In essence, Bitcoin mining is transitioning from a "mining business" to an "infrastructure business." Future profitability and resilience will depend less on block rewards and more on diversified income sources like energy management and computational infrastructure services. For investors, the key question is not the halving itself, but which miners can successfully navigate this business model transformation.

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BIT Research: The 2028 Halving Is Not the End, the Real Shake-Up of the Bitcoin Mining Industry Is Just Beginning

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This is How God Karpathy Uses Claude?

Andrej Karpathy, a prominent figure in AI, has reportedly joined Anthropic, leading to a noticeable decrease in his open-source contributions and social media activity. A document claiming to be his personal "CLAUDE.md" file—a set of instructions for the Claude AI to follow within a specific codebase—has been circulating online. While its authenticity is unverified, the content aligns closely with Karpathy's publicly shared principles on effective AI-assisted programming. The document outlines key rules for AI coding assistants, emphasizing the importance of reading existing code thoroughly before writing new code to maintain consistency. It advises against over-engineering, advocating for simple, surgical modifications that match the project's existing style. Other guidelines include clarifying assumptions upfront, writing meaningful tests, thoughtful debugging, and carefully considering dependencies. The core message is that these principles help prevent common AI coding failures, such as introducing unnecessary abstractions, style drift, or making invisible architectural decisions. The community has noted that even experts like Karpathy require detailed instructions to guide AI effectively, akin to managing a junior developer. A related GitHub repository, "andrej-karpathy-skills," which encapsulates these ideas, is reported to significantly reduce Claude's code error rate. Ultimately, the advice stresses that the best CLAUDE.md is tailored to one's own tech stack and coding practices.

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This is How God Karpathy Uses Claude?

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