10 #Bitcoin ETFs outflows 2,152 $BTC(-$201.21M) and 9 #Ethereum ETFs outflows 45,684 $ETH(-$148.11M) yesterday.

According to hypeflows data, Hyperliquid holds a 9% share of the global perpetual contract market (covering all centralized exchanges including Binance, Bybit, OKX) by open interest, marking the highest level since the platform’s inception. Per HTX market data, HYPE is currently priced at $66.69, down 2.83% over the past 24 hours.

According to Onchain Lens monitoring, a top-performing whale on Hyperliquid has just opened a 3x short position on 1.85 million CASHCAT tokens. The wallet has accumulated a total profit of $97.2 million to date, and its latest CASHCAT position currently boasts an unrealized profit of $17,900.

The Ethereum Foundation has disclosed that its Protocol Security team is using AI agents to conduct vulnerability hunting of Ethereum client software to boost network security. During testing, the AI successfully identified a vulnerability in the Gossipsub message propagation protocol that allows remote attackers to trigger node crashes, leading to validator nodes going offline. The flaw has since been patched and assigned CVE ID CVE-2026-34219. However, the foundation notes that AI’s biggest challenge is not discovering vulnerabilities, but distinguishing actual flaws from false positives. AI can generate vulnerability descriptions, impact analyses, and exploit code, but may also produce seemingly plausible yet non-existent issues—requiring security researchers to conduct thorough verification. The foundation outlined three common types of false positives: crashes occurring only in test environments, exploit paths that cannot be leveraged in real-world scenarios, and invalid proofs in formal verification. Additionally, the Ethereum Foundation believes AI is currently better at analyzing individual code issues, but has limited ability to identify complex attack chains formed by multiple legitimate operations—an attack vector that has been the primary cause of breaches for multiple crypto protocols this year. Going forward, the foundation plans to have AI assist in generating potential attack paths, which will then be verified via manual and automated testing to further improve the efficiency and accuracy of vulnerability discovery.

Jukan, an analyst at Critini Research, stated during an expert call that NVIDIA’s Rubin architecture has been delayed once more.

According to Onchain Lens monitoring, a wallet linked to Bharat Krymo (@krybharat) has just opened a 3x leveraged long position of 1 million CASHCAT tokens on Hyperliquid, valued at roughly $192,200. The wallet’s cumulative historical profit and loss now totals a net profit of $11.44 million.

According to CCTV Finance, industry insiders said that in the memory chip sector, every time the industry enters a boom cycle, manufacturers tend to ramp up production capacity in sync, leading to a concentrated release of new capacity, plummeting prices, and the entire industry falling into losses. Subsequently, manufacturers collectively slash capital expenditures (CapEx), and when demand rebounds, another boom cycle arrives—this cycle forms the industry’s unique cyclical pattern. Since US-listed memory chip stocks hit their peak in late June, news such as Meta selling off computing power has sparked market concerns over computing power oversupply, dragging memory chip stocks into a broad correction. Data shows that leading players including SanDisk, Micron Technology, Seagate Technology, and Western Digital have all seen their stock prices drop by over 20% in the past several weeks. Analysts noted that the underlying logic supporting memory chip demand is currently facing reassessment, with the core variable being whether the technological gap between various AI large models will continue to narrow. They also pointed out that the memory chip industry is undergoing profound changes in its business model: in the past, storage was more like a commodity, with prices fluctuating with market conditions and contracts mostly being quarterly or annual; now, to secure critical supplies, cloud providers and AI data centers are increasingly signing long-term supply agreements with original manufacturers that span 3 to 5 years, include price ranges, minimum purchase quantities, and customer deposits.