1. OPNX went from a mere few people to a surge in transactions, Su Zhu started "flying life"?

As the world's first public market capable of trading encrypted claims and derivatives, OPNX (Open Exchange) had a trading volume of only $13.64 on the first day of its launch, but in less than three months, this figure has become $65 million and the record keeps breaking. click to read

2. The ecological structure of order book DEX and 7 noteworthy order book DEX projects

There are 3 main types of Orderbook DEX (order book-style decentralized exchange): rollup-based (rollup-based), full-onchain (complete chain), high-perf (high performance). dYdX v4, Hyperliquid, Vertex, Aevo, Orderly, and ApeX are building some interesting new developments in this space. For Orderbook DEX, security, convenience of existing exchanges and GTM listing strategy are the most important. click to read

3. BAYC holder's self-report: How did I become a diamond hand?

Many may not have witnessed its early days, and many may not remember when the apes started like wildfire on NFT Twitter. Back then the timeline was filled with endless #apefollowape. Once a person buys an ape, he will immediately add 1,000 Twitter fans, and even be surrounded by "Twitter prison" for following too many people. click to read

4. How to trust AI: What ideas does zero-knowledge machine learning (ZKML) provide?

**As AI evolves at an unimaginable speed, it will inevitably raise concerns about the other "edge" of the AI sword - trust. **The first is privacy: in the age of AI, how can humans trust AI from the perspective of data privacy? Perhaps the transparency of the AI model is the key to worrying: the ability to emerge like a large-scale language model is tantamount to an impenetrable technological "black box" for humans, and ordinary users cannot understand how the model works and the results of the operation And how to get it - what's more troublesome is that as a user, you may not know whether the AI model provided by the service provider is working as promised. Especially when applying AI algorithms and models on some sensitive data, such as medical, financial, Internet applications, etc., whether the AI model is biased (or even maliciously oriented), or whether the service provider runs the model (and related parameters) accurately as promised , has become the most concerned issue for users. Zero-knowledge proof technology has a targeted solution in this regard, so zero-knowledge machine learning (ZKML) has become the latest development direction. click to read

5. Multi-dimensional analysis of LSD track panorama thinking and action guide

After the release of the last [LSDFi Map], most of our predicted products have appeared, such as stable coins supported by LST (R, TAI, USDL, etc.), Governance War (Pendle War) triggered by veToken, etc. But there are also many unexpected data and discoveries. This article will sort out most of the LSD-related items that can be found and raise questions, thinking and action guidelines. click to read