SchrodingerGas

To survive and succeed in the Crypto Assets market in the long term, it is necessary to protect capital, develop reasonable trading strategies, continuously learn, respond to market Fluctuation, enhance influence, pay attention to opportunity cost, cherish time, leverage expertise, set goals, and maintain life balance. Improving abilities in multiple aspects helps seize opportunities in a rapidly changing market.

The intent-centered model is rising in the Web3 field, enhancing user experience and privacy protection, and promoting the application of technologies such as account abstraction, AI, and MEV optimization. Numerous projects like Anoma and Essential are dedicated to developing universal solutions, which are expected to trigger a new rise in the DApp ecosystem.

The crypto assets market faces political dilemmas. Despite a brief pump in prices, there is a lack of substantial action from regulators. As government attention shifts, Bitcoin may retreat to between $70,000 and $75,000. Holders need to take active steps and express genuine demand to drive market changes.

FHE (fully homomorphic encryption) technology allows computation on encrypted data, protecting privacy, and has potential in fields such as finance and healthcare, but the computational and memory overhead is huge. In the face of this challenge, DARPA has launched the Dprive program, aiming to improve FHE performance, which is expected to bring changes to multiple industries in the future.

The South Korean Web3 industry is set to witness a turning point in early 2025, with improvements in the regulatory environment and companies beginning to participate in the crypto market, promoting structured market development. International projects are guiding ecological construction, with significant progress in infrastructure and Digital Money, indicating the formation of a mature industrial ecosystem. The industry is moving towards a stage of stability and long-term rise.

This article analyzes the performance of meme tokens (MEMEs) in the current bull run, pointing out that they are influenced by social, psychological, economic, and technological factors, and elaborates on the characteristics, mechanisms, and reasons for the success of MEMEs. Although there are controversies regarding their future, a deep analysis of their development history helps to understand the current phenomenon.

This article introduces potential airdrop projects worth following in 2024, including Line and Kroma, which have announced airdrop plans, as well as potential projects Scroll, LayerZero, and zkSync. At the same time, there are testnet projects such as Berachain and Fuel. Investors should be aware of project risks when participating and are advised to stay active and research the project background.

This article discusses the boundaries between civil and criminal issues in virtual money investment disputes, pointing out through case analysis that factors such as the subjective intent of the perpetrator and the flow of funds should be considered in the identification of fraud. In addition, the court recognizes virtual money as a target of fraud, and investors need to enhance their risk awareness and rationally choose their paths for rights protection.

Sonic, as a high-performance Layer 1 public chain, has quickly attracted a total Lock-up Position value of nearly $1 billion due to its Ethereum-compatible tech stack and innovative fee-sharing mechanism. The project is conducting a Token Airdrop and launching a stablecoin strategy with up to 150% annualized returns, encouraging user and developer participation. With unique Airdrop and yield opportunities, Sonic has the potential to gain significant standing in the Layer 1 space.

The current Crypto Assets market faces numerous challenges, including investor psychological trauma, slowed innovation, regulatory pressure, and financial nihilism. Unlike previous cycles, the market is more inclined towards short-term trading, with a clear divergence in performance between BTC and alts. Investors need to adjust their strategies, follow projects with real products and short-term trading opportunities while maintaining risk control. Despite the many difficulties, the alts market still holds growth potential.

The Hyperliquid ecosystem has rapidly recovered after the $JELLYJELLY incident, with the $HYPE price breaking through $44 to reach an all-time high. As an important component of the ecosystem, the lending protocol offers a variety of lending services, aiming to become the first choice for users. Compared to other exchanges, Hyperliquid adopts a transparent on-chain trading mechanism, enhancing liquidity. With the improvement of HyperEVM performance, future trading demand is expected to increase, and there are views suggesting that $HYPE is undervalued, with huge potential.

The integration of Web3 and AI is attracting follow, and decentralization technology can balance the centralization trend of AI, promoting the assetization of Computing Power, data, platform, and Application Layer. Although it is still in the early stages, the potential of this trend is enormous, and it is hoped to create a more community-oriented and transparent AI ecosystem.

Rug Pull eyewash is becoming increasingly rampant in the Crypto Assets sector, resulting in losses for 7.05 million investors. This type of eyewash is divided into hard Rug Pull and soft Rug Pull; the former directly withdraws Liquidity, while the latter is more insidious, gradually eroding investor confidence. With the rise of fraudulent activities, investors must remain vigilant and understand common fraud tactics to protect their rights and the market order.

Recently, at the TOKEN2049 conference, Dynamic Liquidity Management (DLMM) has become a hot topic in the DeFi field. DLMM improves capital efficiency and enhances user experience by intelligently adjusting liquidity, effectively responding to market fluctuations. With the rapid development of the Solana ecosystem, the issue of dispersed liquidity is becoming increasingly severe. The application of DLMM provides new ideas for solving this problem and promotes the upgrading of DeFi infrastructure.

The evolution of AI training paradigms: from centralized control to a technological revolution of decentralized collaboration
In the entire value chain of AI, model training is the most resource-consuming and technically challenging stage, directly determining the model's capability ceiling and actual application effectiveness. Compared to the lightweight calls during the inference phase, the training process requires continuous large-scale computing power input, complex data processing workflows, and high-intensity optimization algorithm support, making it the true "heavy industry" of AI system construction. From an architectural paradigm perspective, training methods can be divided into four categories: centralized training, distributed training, federated learning, and the focus of this article, Decentralization training.
Centralized training is the most common traditional method, completed entirely by a single organization within a local high-performance cluster, where all training processes, from hardware, underlying software, cluster scheduling systems, to all components of the training framework, are coordinated and operated by a unified control system. This deeply collaborative architecture enables memory sharing and gradient synchronization.

The Injective public chain recently saw a net capital inflow of 142 million USD, showing a significant rise in active users and volume. However, with the attraction of high-yield projects, the stability of future capital is at risk. Injective is transitioning towards physical assets, and although ecological indicators have risen at one point, the total Lock-up Position has not significantly increased. The future is filled with opportunities and challenges, and whether it can achieve sustained prosperity remains to be observed.