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Bhutan Transfers Nearly $12M in BTC as Total Transfers Near $42M This Year

The Royal Government of Bhutan transferred 175 BTC, worth approximately $11.85 million, on March 9 as part of its ongoing management of state-backed crypto reserves. This follows a previous transfer of around 100 BTC to QCP Capital about a month earlier. So far this year, Bhutan has moved a total of 395.498 BTC, valued at roughly $41.56 million. According to Arkham Intelligence, the government periodically sells portions of its Bitcoin in clips of $5–10 million. Despite these sales, Bhutan remains a significant national holder of Bitcoin, with 5,425 BTC worth about $379.53 million, plus a small amount of Ethereum. The total tracked crypto portfolio stands at approximately $379.59 million.

TheNewsCrypto11 min fa

Bhutan Transfers Nearly $12M in BTC as Total Transfers Near $42M This Year

TheNewsCrypto11 min fa

‘Disappointing’: U.S. DoJ seeks retrial of Tornado Cash founder

The U.S. Department of Justice is seeking a retrial of Tornado Cash founder Roman Storm on charges of money laundering and sanctions violations, a move that has drawn strong criticism from the crypto community. Storm was previously found guilty only of operating an unlicensed money-transmitting business. The DeFi community, including the DeFi Education Fund and Solana Policy Institute, expressed disappointment, arguing the case threatens legal protections for software developers. They point to a recent court ruling that exempted developers from liability on non-custodial platforms. Critics also accuse the DoJ of contradicting the U.S. Treasury's stance and undermining crypto innovation. Despite the negative news, Tornado Cash’s native token TORN saw a 4% price increase.

ambcrypto16 min fa

‘Disappointing’: U.S. DoJ seeks retrial of Tornado Cash founder

ambcrypto16 min fa

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20 min fa

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

Odaily星球日报20 min fa

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31 min fa

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

比推31 min fa

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40 min fa

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

比推40 min fa

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