# Сопутствующие статьи по теме KYA

Новостной центр HTX предлагает последние статьи и углубленный анализ по "KYA", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

The Use of Humans: Agentic Wallet and the Next Decade of Wallets

The article "The Use of Humans: Agentic Wallet and the Next Decade of Wallets" discusses the evolution of digital wallets in the age of AI agents. It argues that as software users shift from humans to autonomous agents, traditional wallet security models—relying on human confirmation, signatures, and private key management—become inadequate. The core proposition is that Agentic Wallets must serve two masters: humans, who set rules and retain ultimate control, and agents, which require constrained autonomy to execute transactions efficiently. The wallet thus evolves from a simple asset container into a permission and execution system that allows agents to operate within predefined boundaries (e.g., budget limits, approved assets, whitelisted addresses). The article identifies key challenges: current wallets are designed for human interaction, not agentic speed and scale. It outlines four tiers of agent autonomy—from human-controlled to fully autonomous—and emphasizes "bounded autonomy" as the pragmatic near-term solution. A four-layer architecture is proposed: account isolation, permission rules, execution primitives for agents, and governance tools (logging, alerts, veto mechanisms). Critical enabling technologies include standardized Skills (for链上 operations), policy engines, session keys for limited delegation, and audit trails. Current solutions from players like Coinbase, Safe, Privy, and Polygon are noted, but face gaps in portable identity/reputation, unified policy standards, adversarial security (e.g., prompt injection), and cross-chain functionality. The future direction involves a "Wallet Policy Plane" that sits between agent intent and on-chain execution, performing real-time policy checks, risk scoring, and identity verification—akin to Stripe's payment infrastructure. Ultimately, the wallet's role shifts from a front-end gatekeeper to an embedded control layer enabling secure, scalable agentic economies.

marsbit03/22 03:08

The Use of Humans: Agentic Wallet and the Next Decade of Wallets

marsbit03/22 03:08

The Use of Humans: Agentic Wallet and the Next Decade of Wallets

"Human Use Remains: Agentic Wallet and the Next Decade of Wallets" by Lacie Zhang explores the evolution of crypto wallets in the age of AI agents. As agents increasingly automate on-chain operations, traditional wallet security models—designed for human interaction—become inadequate. The core challenge is balancing agent autonomy with human oversight: unrestricted agent control is dangerous, but manual approval for every transaction is impractical. Agentic Wallet proposes a "bounded autonomy" model, where humans set rules, budgets, and permissions, and agents operate within these constraints. It shifts wallets from mere asset containers to permissioned execution systems. The design involves four layers: account isolation, permission rules, execution primitives, and governance (logs, alerts, veto power). Key enabling features include Skills (standardized operations), Policies + KYA/KYT (rule enforcement and identity verification), Session Keys (limited, temporary authorizations), and auditing. Current solutions (e.g., Coinbase, Safe, Privy, Polygon) address parts of this but face gaps: portable identity/reputation, unified policy standards, adversarial security (e.g., prompt injection), and cross-chain compatibility. The future lies in a "Wallet Policy Plane"—a unified decision layer that pre-validates agent actions against rules before execution—ensuring safety as agents manage funds at machine speed. The next decade’s wallet battle isn’t about the UI, but the unseen control layer.

marsbit03/20 06:48

The Use of Humans: Agentic Wallet and the Next Decade of Wallets

marsbit03/20 06:48

a16z: Three Major AI Trends for 2026

a16z: Three AI Trends for 2026 1. AI Takes on Substantial Research Tasks: AI models are evolving to handle complex, abstract instructions and assist in research, particularly in reasoning. They are beginning to solve difficult problems and foster a new "generalist" research style that focuses on connecting ideas and making inferences from hypothetical answers. This requires new "nested agent" workflows where models collaborate and refine each other's outputs, though better model interoperability and compensation methods (potentially via blockchain) are needed. 2. The Shift from KYC to KYA (Know Your Agent): The bottleneck in the agent economy is shifting from intelligence to identity verification. With non-human identities vastly outnumbering humans in finance, there's a critical need for a "Know Your Agent" infrastructure. Agents require cryptographically signed credentials to transact, linking them to their principals, constraints, and liabilities. 3. Solving the Open Web's "Invisible Tax": AI agents are disrupting the economic foundation of the open web by extracting data from ad-supported sites (the context layer) while bypassing their revenue models. This creates an "invisible tax" that threatens content creation. Solutions are needed to automatically reward content creators, moving from static licensing to real-time compensation systems using technologies like nanopayments and attribution standards, potentially blockchain-enabled.

marsbit01/12 08:09

a16z: Three Major AI Trends for 2026

marsbit01/12 08:09

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