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The Trump Organization spent $2.5 billion to purchase Bitcoin, initiating a new experiment in the fusion of media and crypto. This article analyzes its funding sources, strategic layout, and potential risks, exploring whether content companies can become the next crypto financial giants.

Contracts, simply put, are restrictions on how tokens can be transferred, allowing users to specify the distribution of UTXOs through contracts. Many scaling solutions, such as the Lightning Network, are based on this principle, demonstrating that Bitcoin's scaling solutions heavily rely on introspection and contracts. In the crypto world, the most common method is commitment, often achieved through hashing. To prove that we meet the transfer requirements, a signature mechanism is needed for verification. Thus, contracts involve many adjustments related to hashing and signatures.

This article explores OP_VAULT, a Bitcoin feature designed to enhance security by safeguarding funds from loss or unauthorized access. As Bitcoin adoption grows, OP_VAULT introduces "covenants," which let users establish predetermined guidelines for how their cryptocurrency can be used. This feature adds both security and flexibility for protecting digital assets.

This article introduces the UTXO model in plain language, providing a brief overview of the UTXO model and implementation methods of BTC, Sui, Cardano, Nervos, and Fuel.

Our goal here is to do an overview of all these proposals, figure out what technical patterns they share, figure out what kinds of new opcodes and other soft fork upgrades they need to function, and create a comparison table of how all the parts fit together. Along the way we’ll also define what an L2 protocol actually is, what kind of scaling Lightning is already capable of, and get an understanding of what improvements we need to do to mempools to achieve all this.

Get an in-depth understanding of the Layer 2 expansion plan in the Bitcoin network, especially the validity proof and fraud proof technology. This article analyzes how to achieve Layer 2 expansion through technological innovation under the strict restrictions of Bitcoin, including Bit Commitment, Taproot, and Connector Output. and contracts, etc.

This article provides a comprehensive analysis and in-depth technical discussion. It not only explains how constraint mechanisms work but also explores the innovative applications they might bring and their long-term impact on the Bitcoin network and the broader blockchain ecosystem. Additionally, the article discusses the challenges faced in implementing these technologies and the considerations of the community, offering readers a holistic view to understand the ongoing technical innovations and discussions within the Bitcoin network.

An Unspent Transaction Output (UTXO) refers to the amount of cryptocurrency left after a transaction, which can be consumed at any point in time.

This article will cover more technical topics around the UTxO model and will attempt to compare and contrast the Account Based Model with real examples.

Learn how block finality secures blockchain transactions, prevents double spending, and supports decentralized finance (DeFi) processes across various consensus mechanisms.

This article introduces the author's criteria for evaluating RWA (Real World Assets) projects as a venture capitalist. It primarily covers four aspects: the team's underwriting experience, go-to-market strategy, the rationale for asset tokenization, and compliance considerations. The article also analyzes the current state of tokenized debt, highlighting the changes brought about by traditional finance experts entering the crypto space in recent years. Finally, the author focuses on Plume, an RWA ecosystem platform, showcasing its advantages in compliance, team background, and market strateg S

This article introduces the new token issuance model IGO.

The article explores the potential and challenges of combining AI with Web3. The author points out that despite the optimistic sentiment towards "AI + Web3," there are significant hardware and research investment barriers in reality, leading to large tech companies dominating the AI field. Web3 projects utilize incentivized crowdsourcing through encryption, making it difficult to compete with the substantial funding invested by these companies.