2026-04-16 Четверг

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Supported by 20+ Institutions: How Does Sui's New Primitive Hashi Rewrite the Rules of Bitcoin Financial Trust?

Sui has introduced Hashi, a new decentralized Bitcoin (BTC)抵押原语 (primitive) designed to enable trust-minimized and secure use of native BTC in DeFi on the Sui blockchain, backed by over 20 major institutions. Hashi allows users to抵押 Bitcoin without transferring custody to centralized entities. BTC remains on the Bitcoin network in a dedicated address, while a抵押凭证 is generated on Sui. This凭证, representing the locked BTC, can be used in Sui's smart contracts for lending, borrowing, and other DeFi activities. The system relies on Sui validators for security, with a Guardian Layer for additional protection against risks like validator collusion. Key to Hashi is its role as a "primitive"—a foundational building block for developers. It provides a standardized interface to integrate native BTC抵押 capabilities into applications like lending protocols, structured products, and RWA strategies, reducing development barriers. Institutional support spans custody (e.g., BitGo, Cobo), trading (e.g., FalconX, Bullish), security (e.g., OtterSec, Certora), and protocols (e.g., Suilend, Scallop). This ecosystem support aims to facilitate large-scale institutional BTC adoption into DeFi upon mainnet launch. Hashi addresses core trust issues in Bitcoin金融 by prioritizing non-custodial security, transparency, and composability, potentially unlocking Bitcoin's $1.4 trillion market cap for decentralized finance without sacrificing user control.

marsbitВчера 06:33

Supported by 20+ Institutions: How Does Sui's New Primitive Hashi Rewrite the Rules of Bitcoin Financial Trust?

marsbitВчера 06:33

Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

A Google engineer with 11 years of experience automated 80% of his work using Claude Code and a simple .NET application, reducing his daily work from 8 hours to just 2–3 hours while generating $28,000 in monthly passive income. The key to this transformation lies in three core elements: First, using a structured CLAUDE.md file based on Andrej Karpathy’s principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—reduces Claude’s rule violations from 40% to just 3%. Second, the "Everything Claude Code" system acts as a full AI engineering team, with 27 pre-built agents for planning, reviewing, and executing tasks across multiple AI platforms. Third, a hidden token consumption issue in Claude Code v2.1.100 was identified, where 20,000 extra tokens were silently added, diluting instructions and reducing output quality. A quick fix using npx downgrades the version to avoid this. The automated system enables code generation, testing, and review to run autonomously in 15-minute cycles. The engineer now only reviews output, saving 5–6 hours daily. The setup takes less than 20 minutes, and the return on time investment is significant—potentially saving $10,000–$12,000 monthly for those valuing their time at $100/hour. The article emphasizes that managing AI systems, not just using them, is the new critical skill, enabling a shift from doing work to overseeing automated processes.

marsbitВчера 04:10

Only Work 2 Hours a Day? This Google Engineer Uses Claude to Automate 80% of His Work

marsbitВчера 04:10

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