Australia's Reserve Bank interest rate decision until July 8

Grayscale’s Strategic Ethereum Trust Retraction Filing Raises Questions Per a filing with the U.S. Securities and Exchange Commission (SEC), Grayscale has withdrawn its 19b-4 filing for listing and trading its ether trust, known as ETHE. This development unfolds at a juncture when the general consensus among the community is that the prospects of the SEC greenlighting an ETH-based ETF are fairly low. Analysts and prediction markets have assigned a minimal probability to the SEC’s approval, with some even suggesting the likelihood is nil. After the withdrawal, James Seyffart, an ETF analyst at Bloomberg, addressed the retraction in a post on the social media platform X. “This is interesting,” Seyffart said. “Grayscale just withdrew their 19b-4 filing for an ethereum futures ETF. This was essentially a trojan horse filing in my view, in order to create the same circumstances that allowed Grayscale to win the GBTC lawsuit (approve futures deny spot)” [I don’t know] why they’d do this honestly. In my mind might as well make the SEC write up an approval or denial for an ETH futures ETF and go from there? Maybe the SEC spoke with Grayscale about this… And whatever was said convinced Grayscale to withdraw? (This is a complete guess). While the reasons behind the decision remain unclear, speculation persists and the likelihood of approval has diminished further. As the crypto community ponders the implications, this withdrawal could mark a complete recalibration of expectations regarding ethereum-based, physically-settled ETFs.#BTC##HotTopicDiscussion##GateioBountyCreator#

About the performance of the Ethereum Virtual Machine (EVM) Every operation on the Ethereum mainnet costs a certain amount of Gas. If we put all the calculations required to run the basic application on the chain, either the app will crash or the user will go bankrupt. This gave birth to L2: OPRU introduces a collator to bundle a bunch of transactions before committing to mainnet. This not only helps the app to undertake the security of Ethereum, but also gives users a better experience. Users can submit transactions faster, and fees are cheaper. While operations have become cheaper, it still uses the native EVM as the execution layer. Similar to ZK Rollups, Scroll, Polygon zkEVM uses or will use EVM-based zk circuits, and zk Proof will generate...

Discussion on the Liquidity Fragmentation Issue in the Layer 2 Era With Ethereum shifting towards Layer 2-centric scaling solutions, coupled with the rise of tools like RaaS, numerous public chains are rapidly developing. Many institutions hope to build their own chains to represent different interest demands and seek higher valuations. However, the emergence of numerous public chains has made it difficult for the ecosystem's development to keep pace with the public chains, leading to many projects experiencing a price drop upon issuance. With the help of OP Stack, a trading platform has launched its own Layer 2, while another trading platform has released a new chain; leveraging ZK technology, a trading platform has introduced a new layer; a gaming company has launched a new chain, and a social platform has also introduced a new chain, etc. Nowadays, the financial and technical barriers to building a chain have been greatly reduced, with the cost of operating a chain based on OP Stack being approximately $10,000 per month.

The importance of privacy technology in the blockchain field cannot be ignored, but in reality, privacy coins and projects face challenges such as delisting and legal risks. Proton demonstrates the feasibility of privacy products by building a product ecosystem and charging model, while projects like Skiff and Nillion seem to be lost in their exploration of tokenization. The future of privacy technology remains uncertain, and its integration with market demand is urgent.

The Rise of AI Native Public Chains: In-depth Analysis of Five Major AI Layer 1 Projects With the rapid development of artificial intelligence technology, traditional blockchain architectures have struggled to meet the high-performance computing and complex data processing demands of AI applications. As a result, a number of Layer 1 blockchain platforms optimized for AI have emerged, exhibiting diverse characteristics in terms of technical architecture, application scenarios, and business models. This article provides an in-depth analysis of five leading AI Layer 1 projects: Bittensor, Vana, Kite AI, Nillion, and Sahara. Bittensor: Decentralized AI Network Infrastructure Bittensor, as an early explorer in the blockchain AI field, is committed to building an open, decentralized artificial intelligence collaboration network. Its goal is to break the centralized barriers in traditional AI research and development, allowing more participants to.