#币安广场热门推荐 【#考拉魔法 · Live Preview】 The myriad demons are on the attack. Fight to the death.
Dark clouds hang low, and blood-red eyes open—those lone spirits that were ground down by market trends, betrayed by the news flow, and trapped in the abyss crying out to no avail… gather into a formation tonight.
Koala Magic is a refugee alliance spontaneously formed by a group of cornered demons and monsters—only to find somewhere to belong, no longer drifting and wandering endlessly! Koala Magic is the demons that climbed back from hell.
:: ◈ :: No pretending, no wishing—only take you through a bloody road to escape:
🗡️ Full of air drops → If you’re willing to come, full air drops will be sent to you 🔥 Constant surprises → Every livestream is an ambush 💰 Ongoing benefits → Spoils to be shared—follow the brothers 🎁 Ongoing giveaways → When the myriad demons charge to die, there must be some reward left behind
:: ◈ :: July 11, 19:00 (UTC+8)—the battle begins. Anna—Tangyuan—along with the entire outlaw crew of Koala Magic, officially kicks off the war—step by step, we break down real-world battle strategies, turning you from slaughter-bound lambs into demons that form battle formations.
【2026 World Cup Semi-Final Playoff Voting: Who Will Break Hearts Tonight? The Final Berth Showdown】 Tonight’s two matches are guaranteed to spike your blood pressure: 🔥 Norway 🇳🇴 vs England 🏴 (Nordic battle roar vs the Three Lions’ roar—who are you backing?) 🔥 Argentina 🇦🇷 vs Switzerland 🇨🇭 (Messi’s magic vs Switzerland’s sword—who do you believe in?) 👇👇 The comments section is open—an arena for “FIFA” 👇👇 #Norway #England #Argentina #Switzerland #predict
PANews July 11, according to a report by CCTV International News, Iran’s Supreme Leader Mujtaba Khamenei said in a written address today (July 11) that Iran will continue to adhere to the political line of the late Supreme Leader Ali Khamenei, safeguard the country’s independence and sovereignty, and will not change the established direction of policy due to the death of a leader. He again blamed the United States and Israel as the responsible parties for the deaths of the late Supreme Leader and other victims, saying that Iran will continue to hold those parties accountable, and emphasizing that it will carry out retaliation in response. He also said that holding those responsible for the deaths is a common demand among the Iranian people, and that this goal will not change due to shifts in leadership.
Against the backdrop of the continued surge in demand for artificial intelligence (AI) computing power, global storage chip giant $SKHY #海力士 has just completed a historic initial public offering in the United States. Meanwhile, the company’s executives have also rolled out a series of major remarks in quick succession: they not only predict that 2027 will bring the most severe supply shortages in the industry’s history, but also reveal that the company is formulating a “#記憶體服務 ” business model for selling traditional hardware. Taken together, these statements reflect the extreme optimism of this #AI供應鏈 core enterprise about the future, while also trying to completely rewrite the “boom-bust” cycle of fate that has troubled the memory chip industry for decades.
Apple ($AAPL .US) recently filed a trade secret infringement lawsuit against OpenAI, accusing the artificial intelligence (AI) startup and its hardware chief of conspiring to systematically steal information related to Apple’s unreleased products. In the complaint, filed on Friday in the U.S. District Court for the Northern District of California, Apple said OpenAI induced Apple employees to share information, parts, design drawings, and other materials related to upcoming products in order to advance the development of its own hardware product line. In the lawsuit, Apple also named #OpenAI hardware chief Tang Tan as a defendant. Tan previously served as Apple’s vice president of product design and was responsible for the development of core products including the iPhone, smartwatch, AirPods, and several products within the company’s hardware engineering division. OpenAI responded in a statement, saying it is “not interested in other companies’ trade secrets.” A spokesperson for the San Francisco-based company said: “We have always focused on building innovative technologies that benefit users around the world.”
Data: A whale receives about 25.1 million USDT and buys 14,000 ETH According to Onchain Lens monitoring, a whale receives about 25.1 million USDT and purchases 14,007 ETH at an average price of $1,798.
#newt $NEWT When Artificial Intelligence meets Zero-Knowledge Proofs, Web3’s automated experience will be completely overturned! @NewtonProtocol is building a brand-new on-chain infrastructure through the Newton Mainnet Beta. With TEE and ZKP technology, it enables AI agents to execute complex DeFi tasks in an absolutely secure and transparent environment. As the ecosystem’s core, the $NEWT token is not only the Gas used to pay for automation service fees, but also a key to participating in protocol governance. Looking forward to Newton bringing an even more minimalist on-chain lifestyle! #Newt
Exploring a New Era of Web3 Automation: The Core Value of Newton Protocol and $NEWT
In the world of Web3, complex cross-chain operations and tedious DeFi workflows often deter ordinary users. But @NewtonProtocol is completely breaking this deadlock with “verifiable automation”! As an industry-first on-chain automation infrastructure, Newton Mainnet Beta is dedicated to perfectly integrating artificial intelligence with decentralized finance—making complex financial tasks simpler than ever before. A key highlight of Newton Protocol is its pioneering trust-minimization mechanism. By combining a Trusted Execution Environment (TEE) with Zero-Knowledge Proofs (ZKP), users can securely delegate complex operations—such as asset exchanges and liquidity rebalancing—to AI agents. More importantly, based on smart account standards like ERC-4337 and EIP-7702, users are granted extremely fine-grained permission controls. This means that even if the AI agent performs tasks automatically in the background, your private keys and assets remain under absolute secure control. Every on-chain action is cryptographically verified—efficient, yet transparent.
#grvt In today’s decentralized derivatives market, how to deliver a CEX-like trading experience while maintaining decentralization has always been the biggest challenge. After observing the architecture design of @grvt_io , I found that they are trying to address liquidity fragmentation and slippage issues through a hybrid order book model—this is a very practical starting point. In particular, when on-chain trading is congested, if permissionless perpetual contract trading can keep latency low, it will greatly improve capital efficiency. I look forward to seeing #grvt ’s real-world performance after its mainnet launch, and hope it can become a bridge connecting the experience gap between CEX and DEX.
#grvt 【grvt Project Bermuda Regulatory License Analysis: How a Compliance Pathway Promotes DeFi Mainstream Adoption】 @grvt_io Recently obtained a Bermuda Class M digital asset license, becoming the first regulated DEX in the world. This marks an important milestone in the compliance-driven progress of DeFi. #grvt As a hybrid on-chain exchange, grvt skillfully combines the user experience of CEX with the capital safety of DEX. Using Validium chain technology, grvt achieves a perfect balance between transaction privacy protection and high efficiency. Its capacity to process 600,000 transactions per second far exceeds traditional DEXs, providing institutional users with practical solutions. Obtaining the Bermuda regulatory license not only strengthens grvt’s compliance, but also sets a new standard for the DeFi industry. Behind this achievement is the grvt team’s deep understanding of how to balance regulation and innovation, as well as the results of collaborating with 16 top-tier market makers. With the upcoming launch of the mainnet in 2026 Q4, grvt’s Rewards 2.0 points system and the GTL esports-style trading competition are attracting more users to participate. Through sensible trading strategies, users can maximize points earning while enjoying a secure and transparent trading environment. How do you view the role of grvt’s compliance journey in promoting the mainstream adoption of DeFi? Welcome to share your insights in the comments section!
#newt $NEWT @NewtonProtocol Verifiable automated layers (TEEs+ZKPs) truly establish a solid trust foundation for on-chain finance. The official built-in data sources and operator staking mechanism also inspire confidence. However, from an institutional perspective, the real concern often hides in the “custom connectors.” Sandbox isolation can prevent code from doing harm, but it cannot guarantee logical correctness. If the data-fetching logic in a custom WASM module is biased (e.g., timestamps are not aligned), it can still run compliantly within the sandbox, ultimately producing an authorization credential where the “logic is correct but the data is distorted.” This covert risk is a fatal blind spot for institutional funds that seek determinism. In addition, on-chain automation lacks the flexibility of traditional finance’s “manual appeals and reversals.” Once consensus is reached, settlement happens directly. Therefore, to truly support the core needs of institutions, the official side must also clearly define the audit depth of custom connectors and the responsibility-allocation mechanism. Only by filling these “gaps outside the framework” can verifiable automation truly become the cornerstone of DeFi!
On-chain card spending without a “customer service hotline”: Newton Protocol’s automation looks beautiful, but will institutional funds bet on it?
When we take a deep dive into the architecture of the Newton Protocol, we must look beyond the superficial technical gloss and get straight to the “trust anchor” behind decentralized automation. As the first verifiable automation layer in the crypto space, Newton Protocol’s core innovation lies in combining Trusted Execution Environments (TEEs) with zero-knowledge proofs (ZKPs), enabling users to access trustless, on-chain financial automation. However, only when we shift our attention away from the officially built-in, mature data sources (such as RedStone, Chainalysis, etc.) and focus instead on user-customized automation agents (Agents) do the system challenges truly begin to emerge.
Because #巴威颱風 is coming, I just got off work and wanted to go to the supermarket to buy some things, but when I saw this scene, I cleared everything. $NVDA.US #predi̇ct