# Сопутствующие статьи по теме Smart Contracts

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

Can Ethereum capture the AI agent market set to hit $236B by 2034?

The market is evolving beyond traditional roots, with blockchain and AI convergence driven by AI agents enabling autonomous contracts on L1 networks. Circle’s comments highlight the need for digital dollars and open systems, creating an opportunity for Ethereum. The AI agent market has doubled to $11.55B in under two years and is projected to reach $236B by 2034. Ethereum’s Strawmap upgrade, focusing on speed and finality, strengthens its infrastructure to meet AI application demands. Despite Vitalik Buterin’s sale of 19K ETH, market confidence remains resilient, supported by backers like BitMine. Ethereum leads AI agent deployments by 40% over the next chain, demonstrating a first-mover advantage and robust infrastructure for autonomous agents. Recent price swings are short-term, not threatening long-term growth as Ethereum positions itself to capture the expanding AI market.

ambcrypto02/27 09:01

Can Ethereum capture the AI agent market set to hit $236B by 2034?

ambcrypto02/27 09:01

Dialogue with Dragonfly Managing Partner Haseeb: AI Apocalypse Is Still Far Away, Smart Contracts Are Laws Born for Machines

Dragonfly Capital managing partner Haseeb Qureshi reflects on the crypto industry's evolution, the intersection of AI and crypto, and surviving market cycles. He discusses the departure of peers like Multicoin Capital’s Kyle Samani as symbolic of the industry’s maturation, noting that crypto space has shifted from rebellion to becoming part of the establishment. Haseeb argues that AI and crypto are complementary: AI agents will require cryptocurrencies for fast, predictable, cross-border transactions, with smart contracts serving as "law for machines." He cautions against overestimating the near-term impact of AGI, drawing parallels to the decades-long adoption of industrial revolution technologies. Reflecting on the recent crypto bear market, including the October 2021 flash crash, he emphasizes the importance of survival—staying at the table to participate in future cycles. His key insight: "The biggest alpha in crypto is survival. As long as you’re not knocked out, you have a seat at the feast."

marsbit02/25 08:51

Dialogue with Dragonfly Managing Partner Haseeb: AI Apocalypse Is Still Far Away, Smart Contracts Are Laws Born for Machines

marsbit02/25 08:51

After Dragonfly Raises $650 Million in New Funding, Haseeb Says 'Crypto Is Not for Humans,' AI Agents Are the Ultimate Users

Dragonfly Capital partner Haseeb Qureshi argues that cryptocurrency was not designed for human use, but rather for AI agents. Despite being a crypto-native firm, Dragonfly still relies on legal contracts over smart contracts due to their human-friendly design and legal enforceability. Traditional financial systems, though flawed, are built for human fallibility, whereas crypto’s complexity, security risks, and lack of intuition make it poorly suited for people. Qureshi posits that AI agents are the ideal users of crypto: they don’t tire, can verify transactions instantly, audit contracts rigorously, and prefer code-based certainty over the ambiguities of legal systems. Crypto’s deterministic, self-sovereign, and always-on nature aligns perfectly with AI’s operational needs. He envisions a future where "autopilot" wallets managed by AI handle financial tasks, navigating protocols and negotiating agreements autonomously. This shift will transform how crypto services compete and interact. Early examples, such as AI agents on platforms like Moltbook and Conway Research’s autonomous crypto-earning agents, already demonstrate this trend. In conclusion, crypto’s perceived flaws are not failures but indications that humans were never the intended users. With AI agents as the primary interface, crypto may finally realize its potential.

marsbit02/21 01:10

After Dragonfly Raises $650 Million in New Funding, Haseeb Says 'Crypto Is Not for Humans,' AI Agents Are the Ultimate Users

marsbit02/21 01:10

OpenAI’s latest paper exposes the risks of AI in smart contracts

OpenAI's latest research paper highlights the dual role of AI in smart contract security, both as a tool for identifying vulnerabilities and as a potential threat capable of exploiting them. As smart contracts now manage over $400 billion in assets, their immutable nature makes security critical. To evaluate AI's capabilities, researchers developed EVMbench, a benchmark using 120 real vulnerabilities from 40 blockchain projects. The study found that frontier AI agents can successfully discover and exploit vulnerabilities end-to-end, with exploit success rates jumping from 31.9% to 72.2% in just six months. However, a recent incident involving Claude Opus 4.6 demonstrated significant risks when AI-generated code contained critical errors, leading to $1.78 million in losses. EVMbench has limitations, including a limited dataset, false positives, and an inability to fully replicate real-world conditions like cross-chain activity. The paper underscores the need for responsible AI development as smart contracts increasingly become tools for both innovation and cybercrime.

ambcrypto02/19 20:02

OpenAI’s latest paper exposes the risks of AI in smart contracts

ambcrypto02/19 20:02

Dragonfly: Crypto Was Not Made for Humans

Crypto Was Not Made for Humans: A Summary Dragonfly Capital partner Haseeb Qureshi argues that cryptocurrency was not designed for human use, but rather for AI agents. Despite being a crypto-native firm, Dragonfly still relies on legal contracts over smart contracts for investments, highlighting that traditional systems are built for human fallibility—featuring safeguards, reversibility, and intuitive interfaces that crypto lacks. Crypto, with its rigid, deterministic, and code-based nature, is error-prone for humans, leading to fears around transactions, phishing, and irreversible mistakes. However, these very traits make it ideal for AI. AI agents can perfectly verify transactions, audit contracts, and operate within crypto’s 24/7, borderless, and self-sovereign environment. They prefer code over ambiguous legal systems, which are slow and unpredictable. Qureshi envisions a future of "self-driving" wallets where AI agents handle all financial interactions, navigating DeFi protocols on behalf of users. These agents will also transact with each other autonomously, forming an economy of non-human participants—a reality already emerging with projects like Moltbook and Conway Research. In conclusion, crypto’s perceived flaws are not shortcomings but indications that humans are not the intended users. Within a decade, direct human interaction with crypto may seem archaic, as AI agents become the primary interface, unlocking the technology’s full potential.

marsbit02/19 05:14

Dragonfly: Crypto Was Not Made for Humans

marsbit02/19 05:14

After Raising $650 Million, Dragonfly Believes Crypto Was Not Made for Humans

Dragonfly Capital partner Haseeb Qureshi argues that cryptocurrency was not designed for humans but is instead the ideal financial system for AI agents. Despite being a crypto-native firm, Dragonfly still relies on legal contracts over smart contracts for investments, highlighting that traditional systems are built for human fallibility—featuring safeguards, reversibility, and intuitive interfaces. Crypto, by contrast, is rigid, error-prone, and unforgiving, with complex addresses, gas fees, and irreversible transactions posing significant risks to human users. Qureshi posits that AI agents are the natural users of crypto: they operate with precision, trust code over ambiguous legal systems, and can verify transactions instantly. Unlike humans, AI can navigate crypto ecosystem autonomously, negotiating and executing binding agreements via smart contracts within minutes. Crypto’s global, permissionless, and deterministic nature makes it perfect for AI-to-AI economic activity, which is already emerging with projects like Moltbook and Conway Research’s autonomous agents. He predicts the future interface for crypto will be “self-driving” wallets managed by AI, which will handle financial tasks on behalf of users. This shift will transform how protocols compete and market themselves. In a decade, humans may look back in astonishment that they ever interacted directly with crypto—its true potential unlocked only when its complementary technology, AI, arrived.

Odaily星球日报02/19 05:10

After Raising $650 Million, Dragonfly Believes Crypto Was Not Made for Humans

Odaily星球日报02/19 05:10

Fhenix Pushes Encrypted DeFi Forward with High-Performance FHE Infrastructure

Fhenix is advancing encrypted decentralized finance (DeFi) through its high-performance fully homomorphic encryption (FHE) infrastructure. Unlike traditional transparent blockchains, FHE enables data to remain encrypted during computation, preventing vulnerabilities like front-running and exploitation. Founder Guy Zyskind presented FHE as a more comprehensive privacy solution than zero-knowledge proofs or trusted execution environments, offering true encrypted execution. Key technical innovations include CoFHE, a recently deployed FHE coprocessor on Base that significantly boosts throughput—reportedly by up to 5,000 times—making on-chain FHE practical for real-world use. The fhEVM environment also allows Ethereum developers to integrate encryption into Solidity-based dApps with minimal changes. Fhenix’s stack, built on Arbitrum and secured via EigenLayer, supports verifiable encrypted computation and aims to serve use cases like confidential trading and asset tokenization. Notably, JP Morgan reportedly engaged Fhenix regarding tokenizing $1.5 trillion in assets, highlighting institutional demand for confidential infrastructure. The project also emphasizes FHE’s compatibility with post-quantum cryptography, future-proofing blockchain against quantum threats. Fhenix is positioning itself as essential infrastructure for confidential DeFi, turning selective secrecy into a competitive advantage.

TheNewsCrypto02/17 23:24

Fhenix Pushes Encrypted DeFi Forward with High-Performance FHE Infrastructure

TheNewsCrypto02/17 23:24

The Year of AI Payments: When Your Agent Learns to Pay on Its Own

English Summary: The era of AI-driven automation is approaching, requiring AI agents to possess native payment capabilities for true autonomy. Major tech companies like Google (with AP2) and crypto-native projects (via ERC-8004 and x402) are developing infrastructure for agent-level payments. Google’s AP2 uses a three-layer mandate system (Intent, Cart, Payment) built atop existing platforms like Google Pay, prioritizing convenience and consumer protection within a controlled ecosystem. In contrast, crypto approaches emphasize decentralization: ERC-8004 provides verifiable on-chain identity via NFT credentials, while x402 enables autonomous stablecoin payments via smart contracts, allowing agent-to-agent commerce without intermediaries. The key divergence is between platform-controlled, closed systems (prioritizing safety) and open, protocol-based models (prioritizing user sovereignty and broader interoperability). Both aim to enable AI agents to autonomously execute tasks like shopping or micropayments, but differ in architecture, trust models, and scope of use cases.

比推02/13 20:43

The Year of AI Payments: When Your Agent Learns to Pay on Its Own

比推02/13 20:43

Vitalik Buterin Outlines Ethereum’s AI Vision As Alternative To The Race For AGI

Vitalik Buterin challenges the mainstream AI industry's focus on the race toward artificial general intelligence (AGI), proposing instead for Ethereum to serve as decentralized infrastructure for more private, verifiable, and economically coordinated AI systems. He emphasizes privacy through local AI tooling and zero-knowledge payments, client-side verification, and cryptographic proofs to allow secure and anonymous AI interactions. Buterin also envisions Ethereum as an economic layer for AI-to-AI transactions and smart contract-based coordination. Additionally, he suggests AI could assist in improving decentralized governance and market mechanisms, offering an alternative path focused on safety and practical integration rather than accelerated AGI development.

bitcoinist02/10 16:32

Vitalik Buterin Outlines Ethereum’s AI Vision As Alternative To The Race For AGI

bitcoinist02/10 16:32

Russian Lawmaker Predicts Bitcoin Collapse While Smart Money Rotates into Layer 2 Utility

A Russian lawmaker, Anatoly Aksakov, predicts Bitcoin's collapse due to its lack of state backing, contrasting with strong institutional investment flows. Meanwhile, capital is rotating into Layer 2 infrastructure like Bitcoin Hyper ($HYPER), which integrates Solana Virtual Machine (SVM) to enable high-speed smart contracts on Bitcoin. The project has raised over $31.3M in its presale, attracting significant whale activity. This shift aims to address Bitcoin's scalability issues, adding utility beyond "digital gold" and supporting decentralized applications. Despite regulatory skepticism, market data indicates growing investor confidence in Bitcoin's Layer-2 evolution.

bitcoinist02/10 13:32

Russian Lawmaker Predicts Bitcoin Collapse While Smart Money Rotates into Layer 2 Utility

bitcoinist02/10 13:32

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