AMA on X

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Retraction Filing Raises Questions Per a filing with the U.S. Securities and Exchange Commission (SEC), Grayscale has withdrawn its 19b-4 filing for listing and trading its ether trust, known as ETHE.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...

In-depth Analysis of AI Layer 1 Projects: Technological Innovations and Development Trends of Five Representative Platforms With the rapid development of artificial intelligence technology, traditional blockchain architectures have struggled to meet the high-performance computing and complex data processing requirements of AI applications. This has led to the rise of Layer 1 blockchain platforms optimized specifically for AI, which exhibit 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 dedicated to building an open, decentralized artificial intelligence collaborative network. Its goal is to break down the centralized barriers in traditional AI research and development.

AI Layer 1 Project Depth Analysis: Reshaping the Fusion of Blockchain and Artificial Intelligence With the rapid development of AI technology, traditional blockchain architectures struggle to meet the high-performance computing and complex data processing demands of AI applications. This has led to the emergence of Layer 1 blockchain platforms optimized specifically for AI, showcasing diversified 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 AI. 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 down the centralized barriers in traditional AI research and development, allowing more participants to contribute together.

The importance of privacy technology in Blockchain is becoming increasingly prominent, but the development of related projects is challenging. Although companies like Proton have successfully built privacy product ecosystems, other emerging projects primarily focus on tokenization and have failed to effectively meet market demand. Privacy protection remains a significant issue, but technology and practical applications need to be better integrated to restore public trust.