Technology

DeSci (Decentralized Science) projects are an emerging concept and practice based on blockchain technology, aimed at transforming traditional scientific research and dissemination models through decentralization. The goal of DeSci is to address some key issues in the current scientific research field, such as high publication fees, lack of data transparency, disputes over research ownership, and the lack of trust in funding mechanisms among the public and scientists.

This post refers to in- and out-of-protocol mitigation techniques. With in-protocol MEV mitigation techniques, we mean mechanisms that are either part of the Ethereum protocol rules or that would require changing the Ethereum protocol rules. Out-of-protocol mitigation techniques are all mechanisms that are not in-protocol.

We introduce the concept of aICO (AI Initial Coin Offering): the idea that autonomous AI founders, programmed for accountability, can replace the chaos of human leadership with trustless, KPI-driven execution.

The key technology driving DeSci is decentralized storage, which has evolved from the IPFS protocol. It has been shown to be more cost-effective and secure than traditional centralized storage solutions, and the current implementations are relatively mature. Essentially, the infrastructure for DeSci is in place; now it just needs broader acceptance and adoption of decentralized storage concepts.

JLP supports various strategies, including leverage (up to 3x), delta-neutral hedging, and customizable exposure, allowing users to maximize yield while managing risk. JLP’s attractive features include premium arbitrage trading, which capitalizes on price fluctuations. Its flexibility makes it suitable for different investor preferences, from risk-averse to high-reward seekers.

This article explores the potential of Account Abstraction (AA), particularly its ability to enhance the blockchain user experience through programmable key management systems. The author analyzes the advantages and disadvantages of traditional key management methods (such as 12-word seed phrases) and new technologies like Passkeys, MPC, and cloud TEEs, proposing the integration of AA functionalities to enable key rotation, session keys, and multiple recovery mechanisms.

Should Academic Papers Really Be Behind a Paywall? Where Lies the Key to the Challenges in Academia? This article explores the potential for openness and progress in academia through the integration of Web3 and the recent discussions around the DeSci topic.

Equilibrium Research has released its annual prediction report, outlining potential events and industry trends expected by the end of next year. The report covers areas such as Scaling, ZK Proving, Privacy, Consensus & P2P Networking, and User Experience.

Web3 represents a revolutionary shift in how data is stored and payments are processed. Its arrival won't be as visibly distinct as the transition from PC internet to mobile internet but will gradually unfold as user data and digital assets are increasingly created on-chain.

This report adopts a dual perspective—blockchain and scholarly resource sharing—to conduct a comprehensive analysis of SciHub’s historical background, the personal journey of its founder Alexandra Elbakyan, the platform’s developmental milestones, and its profound impact on the academic publishing industry. Additionally, it focuses on the end of 2024, a period when the concept of decentralized science (DeSci) gained prominence, prompting SciHub to deeply integrate $scihub token with blockchain technology. This integration encompassed official recognition, 2/2 multi-signature governance, the establishment of three core visions, long-term donation plans, risk warnings, as well as explorations into how social media sentiment interacts with token price movements.

This article mainly discusses the actual effectiveness and limitations of smart money strategies, clarifies market dynamics and common misunderstandings, and points out that market transactions are not completely controlled by "smart money" as some popular trading theories say, but are based on The interaction between market depth and order flow suggests that traders focus on sound risk management rather than excessive pursuit of high-return trades.

Grass gives AI models and apps access to the entire Internet as a dataset, which is collected via a network of nodes around the world who are contributing their idle Internet bandwidth. They have strong initial traction with over 2.5 million users.

The article introduces in detail the technical architecture of Grass, including the roles and functions of validators, routers, nodes and ZK processors, as well as the importance of the Grass data ledger, discusses the operation of Grass nodes and the reputation scoring system, and the Grass generation The various participation methods of the currency provide users with a fair and open AI data layer through its unique incentive structure and security mechanism, while ensuring the transparency and security of the data.

This article delves into the applications and potential of AI agent technology within Web3 and cryptocurrency. It focuses on the Spectral project, exploring how it leverages blockchain and AI to enhance decentralized governance, data privacy, and on-chain transactions. The article also details its vision for a machine intelligence network and the future development of the InferChain network.

We should increase the gas limit at the right time, but currently, gas fees are already relatively low. The real focus should be on managing the network's long-term sustainability and performance, rather than simply raising the gas limit.