Önde Gelen Borsalar, Dijital Varlık Türev Piyasasına Yeni Bir İvme Kazandıracak Çok Sayıda Sürekli Kripto Para Kontratını İşleme Açıyor

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Retraction Filing Raises Questions Per a filing with the U.S. Securities and Exchange Commission (SEC), Grayscale has withdrawn its 19b-4 filing for listing and trading its ether trust, known as ETHE.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

Proving machine learning (ML) model inference via zkSNARKs promises to be one of the most important advances in smart contracts this decade. This development opens up an excitingly large design space, allowing applications and infrastructure to evolve into more complex and intelligent systems. By adding ML capabilities, smart contracts can become more autonomous and dynamic, allowing them to make decisions based on real-time on-chain data rather than static rules. Smart contracts will be flexible and can accommodate a variety of scenarios, including those that may not have been anticipated when the contract was originally created. In short, ML capabilities will amplify the automation, accuracy, efficiency, and flexibility of any smart contract we put on-chain. ML is widely used in most applications outside of web3, and its application in smart contracts is almost zero. This is mainly due to the high computational cost of running these models on-chain. For example, F...

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...

zkML is a rich and growing ecosystem designed to extend the capabilities of blockchains and smart contracts, making them more flexible, adaptable and intelligent.

Recently, it was trending towards zero in a single day and continues to decline. The chart of $NIL, one of the thousands of coins that explained, "Honestly, we don't understand why we fell," and kept going.