月报 | 人工智能和区块链

Since December 2023, recent developments in the field of artificial intelligence and blockchain have revealed several key trends:

Advances in zero-knowledge convolution technology and blockchain interoperability have improved the efficiency and performance of blockchains while facilitating liquidity between different blockchain networks. The tokenization of physical assets and the rise of generative AI, especially through the application of models such as ChatGPT and GPT-4, are opening up new areas of business and technology.

The development of second-layer convolution technology and the innovative design of stablecoins reflect the market demand for more diverse and adaptable financial products.

The adoption of blockchain in social media, the growth of the crypto derivatives market, and the continued investment in AI and blockchain services show the wide application and potential of these technologies in different fields.

Security concerns remain a challenge, but decentralization and improvements in user experience, as well as the convergence of AI and blockchain, bode well for these technologies to jointly drive future technological innovations and applications.

The mainstreaming of NFTs as brand assets and the popularity of SNARKs technology further emphasize the importance of privacy protection and security verification.

Together, these trends demonstrate the powerful potential of AI and blockchain technologies to drive efficiency, innovation, and security, boding well for them to play a key role across a wider range of industries and sectors.

China's AI Development: AI is expected to present significant growth opportunities in key industries in China by 2030, especially in industries such as automotive, transportation, logistics, manufacturing, healthcare, life sciences, and enterprise software. However, China's AI adoption rate (41%) still lags behind the global average (50%), and Chinese companies are underperforming leading countries in terms of revenue growth and profit contribution using AI technology.

Significant advances in zero-knowledge technology: The blockchain space has seen the launch of several zero-knowledge (zk) convolutions, including zkSync Era, Polygon's zkEVM, Linea, and =nil; Foundation。 These ZK convolutions are designed to make blockchains more efficient by reducing the block space required for transactions and executing more transactions off-chain. Unlike optimistic convolution, ZK convolution not only verifies the accuracy of off-chain execution, but also allows it to be performed without revealing mainnet information.

Blockchain interconnection: Blockchain interoperability has also improved, with developments such as Chainlink's CCIP and LayerZero's partnerships with Google Cloud and JPMorgan Chase. These advancements enable smart contracts on different blockchain networks to interact with each other, facilitating the transfer of liquidity, either by burning tokens and minting new tokens or through bridging.

Tokenization of physical assets: Developers are exploring ways to use physical assets (RWAs) as collateral through tokenization. This includes assets such as cash, gold, real estate, and U.S. Treasuries. Protocols such as Centrifuge, Maple Finance, and Goldfinch are driving this trend.

Development of Layer 2 Convolution: Layer 2 (L2) convolution has seen significant progress in 2023, with the launch of multiple chains and technology stacks. Optimistic convolution, led by Arbitrum and Optimism, dominates the market, while the introduction of zkEVMs promotes the growth of ZK convolution.

Growth of tokenized assets: According to a report by the Boston Consulting Group, the on-chain RWA market is expected to reach $16 trillion by 2030. Institutional investors' interest in investing in tokenized assets is high, supported by the continued expansion of TVLs in protocols such as Ondo Finance, Centrifuge, and Tangible.

Innovations in stablecoins: New designs have emerged that mitigate the risk of fiat-pegged centralized stablecoins, including floating pegs and stablecoins that increase in value and generate income. Another type of new stablecoin is "parity", which is linked to the cost of living rather than a physical asset such as fiat currency. As of the end of November, centralized stablecoins still dominate in terms of market share, with USDT and USDC accounting for 85.4% of the total market capitalization.

Crypto derivatives dominance: In 2023, crypto derivatives continue to dominate trading activity. The latest data (as of October) shows that derivatives trading volume was $1.94 trillion, accounting for 75.4% of total trading volume. The monthly trading volume of decentralized (DeFi) derivatives grew from $46.04 billion at the beginning of the year to $84.46 billion in November, with the dYdX protocol accounting for the largest share.

Crypto fundraising trends: Overall crypto fundraising fell to a three-year low in 2023 due to the macroeconomic environment. Crypto companies raised a total of about $7.96 billion in 2023, a significant decrease from $29 billion in 2022. In terms of industry trends, the blockchain services category witnessed the largest fundraising, with nearly $6.5 billion invested throughout the year. This was followed by centralized finance (CeFi), which raised $1.36 billion. Growing interest in AI has created new frontiers for the intersection of AI and cryptocurrency, with more than $60 million in venture capital in Q3 (3.2% of all venture capital).

Reduction in crypto hacks: As of now, the total losses from cryptocurrency hacks in 2023 are around $3.7 billion, a decrease of 51% compared to 2022, with vulnerabilities on exchanges accounting for more than 22% of the total.

Decentralization of Internet Infrastructure: Decentralization is becoming increasingly important to democratize Internet infrastructure, and innovative UX designs such as passkeys and smart accounts are helping to drive mainstream adoption of cryptocurrencies.

Convergence of AI and blockchain: AI and blockchain are converging to create new and exciting applications. For example, AI can be used to deliver personalized experiences for decentralized applications (dApps), while blockchain can be used to ensure the integrity of AI-generated content.

NFTs become ubiquitous brand assets: NFTs are expected to become ubiquitous brand assets, with brands using NFTs to engage with customers, create new revenue streams, and differentiate themselves from competitors.

SNARKs go mainstream: SNARKs (concise non-interactive arguments of knowledge) are a cryptographic technique that can be used to verify computations without revealing the underlying data. This means that SNARKs can be used to secure a wide range of applications, including content authenticity verification and smart contract execution.

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