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In-Depth Explanation of ERC-8183: Ethereum's Solution to the AI Agent Trust Challenge

Analysis of ERC-8183: Ethereum's Solution to AI Agent Trust Issues On March 10, the Ethereum Foundation's dAI team and Virtuals Protocol introduced ERC-8183, a new standard designed to enable trustless commercial transactions between AI Agents. This standard addresses the core problem of how two untrusted Agents can securely complete a "hire-deliver-settle" workflow without relying on a centralized platform. ERC-8183 introduces a "Job" concept with three roles: the Client (task publisher), the Provider (task executor), and the Evaluator (task validator). The Evaluator, which can be an AI Agent, a ZK-verifier smart contract, or a multi-sig/DAO, is the core innovation, determining whether a job is completed or rejected based on submitted proofs. A Job progresses through four states: Open (task creation), Funded (client deposits funds into escrow), Submitted (provider submits work), and Terminal (evaluator approves or rejects, funds are distributed accordingly). The standard also supports modular Hooks for added functionality like reputation checks or bidding systems. ERC-8183 complements other standards like x402 (a payment protocol for Agents) and ERC-8004 (an identity/reputation standard). Together, they form a foundational stack for a decentralized, autonomously operating AI Agent economy, with ERC-8183 specifically solving the trust problem in transactions.

Odaily星球日报3 dk önce

In-Depth Explanation of ERC-8183: Ethereum's Solution to the AI Agent Trust Challenge

Odaily星球日报3 dk önce

The One-Person Company: The Path to Million-Dollar Revenue

Nat Eliason, a writer and entrepreneur, is building a one-person company named Felix with the goal of generating $1 million in revenue using AI agents as his sole employees. Leveraging the OpenClaw framework, Felix has rapidly progressed, achieving nearly $200,000 in revenue in just a few weeks. The venture began when a post about OpenClaw went viral, leading to the creation of a $Felix token. Eliason tasked his AI agent, the "CEO" of this zero-human company, with generating revenue. Felix started by autonomously building a website and selling a $29 OpenClaw setup guide, generating $41,000. It then identified market needs and expanded into two main businesses: Claw Mart, a marketplace for AI skills (generating ~$14,000), and Clawcommerce, a service building custom AI agents for enterprises. The system uses sub-agents for tasks like support and sales, with Discord as its operational hub. Operating costs are minimal at ~$1,500 monthly. A key development is Felix beginning to "hire" a human for affiliate distribution, signaling a shift from replacing humans to employing them. Challenges include AI unpredictability, memory management, and market education. Despite this, Eliason is optimistic. Future plans include optimizing existing services, exploring blockchain integration, and scaling further. He believes this model represents a new era of AI-driven commercialization and a significant wealth creation opportunity.

比推14 dk önce

The One-Person Company: The Path to Million-Dollar Revenue

比推14 dk önce

BitMart Research Weekly Highlights: Macro and Crypto Markets Amid Geopolitical Risks and Stagflation Game

Global financial markets are navigating a complex landscape of heightened geopolitical tensions and shifting economic data. The Middle East conflict, particularly involving the US, Israel, and Iran, poses significant risks to global energy supply, potentially pushing oil prices toward $120/barrel and fueling inflation. Concurrently, weakening US employment data across multiple industries signals growing economic pressure. Amid these macro headwinds, the crypto market is displaying independent momentum. Bitcoin led a strong rebound, testing $74K and showing potential to challenge $80K, while outperforming traditional equities. Market dynamics reveal a clear divergence: institutions are accumulating BTC (with record weekly ETF inflows and significant purchases by entities like MicroStrategy), while retail sentiment remains bullish and larger holders lean bearish. Derivatives data indicates rising leverage and increased demand for downside protection. Overall, the macro environment favors defensive and hedging strategies as stagflation risks intensify. In crypto, BTC demonstrates resilience with continued institutional support, though it remains vulnerable to potential spillovers from equity market corrections. Investors are advised to monitor geopolitical developments, inflation data, and Fed policy closely, prioritizing high-liquidity assets and managing risk in a volatile climate.

marsbit22 dk önce

BitMart Research Weekly Highlights: Macro and Crypto Markets Amid Geopolitical Risks and Stagflation Game

marsbit22 dk önce

Predict Fun Acquires Probable: The Expansion Game of BNB Prediction Market

Predict Fun, a prediction market platform on BNB Chain, has officially acquired its former competitor Probable, marking a strategic consolidation within the BNB Chain prediction ecosystem. The merger combines Predict Fun’s capital-efficient model—featuring yield-generating mechanisms via integration with Venus Protocol—with Probable’s strong community-driven presence and expertise in the Chinese market. The acquisition aims to address key challenges in prediction markets, including capital inefficiency and lack of localization. Probable had demonstrated success in engaging Chinese users through culturally relevant events, though it also revealed limitations such as lower commercial value and reduced market diversity compared to global platforms like Polymarket. User migration from Probable to Predict Fun is underway, with incentives including double fee refunds and a tiered points conversion system. However, some users have raised concerns over points dilution due to differences in emission rates between the two platforms. Industry observers view the merger positively, noting that it consolidates liquidity, reduces internal competition, and strengthens BNB Chain’s position in the global prediction market landscape. The integrated platform is expected to focus on localized operations, expanded market categories, and improved liquidity. For users, strategies such as trading in high-liquidity markets, leveraging yield-bearing mechanisms, and exploring cross-platform arbitrage may offer lower-cost participation opportunities. The merger signifies the end of the “horse race” phase within BNB Chain’s prediction market and the beginning of a more unified growth strategy.

比推23 dk önce

Predict Fun Acquires Probable: The Expansion Game of BNB Prediction Market

比推23 dk önce

Bitcoin rainbow chart’s undervaluation signal vs supply overhang – Which one wins?

Bitcoin has reclaimed the $70k level, yet remains significantly below the miner cost range of $89k-$91k. On-chain metrics, such as the Inter-exchange Flow Pulse, show a bullish crossover, suggesting potential accumulation. However, the Bitcoin Rainbow Chart indicates that BTC is in an extremely undervalued, or "Bitcoin is dead," zone. Analysis of holder behavior reveals short-term holders are realizing losses, with 140k BTC leaving this cohort, indicating possible capitulation. The substantial 21.3% gap between the market price and the realized price of $89k creates a supply overhang. This suggests short-term holders may sell into any price rallies to break even. The LTH/STH SOPR ratio of 0.89, far from the lows seen at previous bear market bottoms, indicates that calling a structural low may be premature. In summary, while the Rainbow Chart signals undervaluation, on-chain data points to significant selling pressure up to $89k.

ambcrypto42 dk önce

Bitcoin rainbow chart’s undervaluation signal vs supply overhang – Which one wins?

ambcrypto42 dk önce

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