Mysterious whale converts 1,308 $BTC ($104M) to 40,670 $ETH and stakes all in 6 days

Binance announced that it will delist and suspend trading for seven spot trading pairs: AIXBT/USDC, DOLO/USDC, ENJ/USDC, HUMA/USDC, SXT/USDC, TNSR/USDC, and TURTLE/USDC, effective September 25 at 11:00 (UTC+8). The exchange noted this adjustment comes from its regular trading pair evaluations, with key factors including liquidity and trading volume. Delisting these pairs will not affect trading of the respective tokens on Binance’s spot market, as users can still trade via other available pairs. Additionally, Binance will simultaneously terminate spot trading bot services for the above pairs, advising users to update or cancel related strategies in advance to avoid potential losses.

On-chain gold and foreign exchange (forex) trading infrastructure XStable has recently completed a new financing round, backed by multiple institutions including YZi Labs, Sui Foundation, Taisu Ventures, and Catcher VC. The new capital and ecological resources will further boost XStable’s investments in product R&D, trading infrastructure construction, and global market expansion, while refining its on-chain trading system for gold and forex markets. Previously, XStable had already secured investments from institutions such as Solana, Amber Group, KuCoin Ventures, and Singchain. With the addition of this round’s institutional capital, XStable has now raised a total of millions of U.S. dollars from over ten global institutional investors. Currently, XStable has built its market around gold, silver, and major forex trading pairs. According to platform-disclosed data, XStable’s average daily trading volume exceeds $100 million, with cumulative trading volume surpassing tens of billions of U.S. dollars.

According to HTX market data, the Meme coin MUBARAK has surged 66.12% over the past 24 hours, currently trading at $0.0555, with its market capitalization climbing to $55.55 million. BlockBeats reminds users: Most Meme coins lack practical use cases and are highly volatile, so investment caution is advised.

Standard Chartered stated that after the Federal Reserve raised interest rates by 25 basis points last week, gold did not continue to weaken, and the traditional inverse correlation between gold and real interest rates is fading. The bank forecasts that the average gold price in the fourth quarter of 2026 will reach $4,650 per ounce, higher than the current average of around $4,350 in the third quarter. Suki Cooper, head of global commodities research at Standard Chartered, noted that structural factors including de-dollarization, currency depreciation, and sustained official sector gold purchases are underpinning gold prices. Data shows that the correlation coefficients between gold and 10-year and 30-year U.S. Treasury yields are currently near -20% and -10% respectively, while the inverse correlation between gold and 2-year and 5-year real yields has also weakened significantly. Meanwhile, capital inflows into gold ETFs have continued to recover, with August seeing inflows of 121 tons, the highest level since September 2025. Standard Chartered believes that speculative positions in gold are not currently overly crowded; profit-taking ahead of the September Fed meeting has partially reduced long positions, so further selling pressure after the rate hike is limited. However, Standard Chartered views the U.S. dollar as the main short-term risk facing gold. The bank’s economists forecast another Fed rate hike in December, followed by unchanged rates throughout 2027. Cooper added that the inverse correlation between gold and the U.S. dollar is currently significantly stronger than its correlation with real interest rates, and further strength in the dollar could exert short-term pressure on gold prices.

Insight Beating AI News Flash: Veteran chip designer and hardware analyst Mr. Bubble stated in an interview on the Frictionless Podcast that the core bottleneck of AI computing infrastructure is shifting from simply boosting chip computing power to advanced packaging, system interconnection latency, and storage tier management. Mr. Bubble noted that the rapid rise in costs of advanced process nodes and the limited growth in transistor density have put traditional Moore’s Law under economic challenges. Instead of continuing to shrink process nodes, the industry is increasingly using advanced packaging to connect multiple chips into a single computing system. He pointed out that the basic unit of AI computing power in the future may no longer be a single chip or server, but a complete rack or even multiple racks, with PCB, packaging, and interconnection capabilities emerging as key limiting factors. On the storage front, he argued that as AI inference context windows expand, massive historical context data should not all occupy expensive High Bandwidth Memory (HBM). The industry may increasingly adopt flash memory offloading, keeping high-frequency data in HBM while migrating low-frequency context to larger-capacity, lower-cost storage layers. He further projected that 3D DRAM could become a key direction for next-generation memory technology. Regarding AI infrastructure investment, Mr. Bubble believes that as prefill and decoding gradually adopt a decoupled architecture, the importance of system-level hardware design will further rise. He also noted that compared to directly betting on large language model companies, enterprises with hardware, packaging, storage, and other key infrastructure capabilities may play a more long-term role in the AI industry chain.

Insight Beating AI News Flash: Meta’s personal AI agent Muse has received diametrically opposite treatment on Amazon and Shopify. Amazon has blocked Muse from searching for products and making purchases on behalf of users on Amazon.com, with users seeing a direct prompt stating “Unauthorized AI Agent” violating terms of service. Amazon noted that Meta did not obtain prior permission, and Muse also fails to proactively disclose its identity as an AI agent when browsing the site. Around the same time, Shopify announced a deep partnership with Muse, integrating Shop Pay into all its stores. Shop Pay is essentially Shopify’s one-click checkout solution, allowing users to complete purchases directly via Muse after selecting products, without needing to re-enter shipping and payment details on the merchant’s website. The core difference between the two platforms’ stances stems from their distinct business models. Amazon operates as a shopping gateway itself: users typically search, compare, view recommendations, and finalize purchases on Amazon, and external agents like Muse could siphon off this entire user journey. Shopify, meanwhile, primarily provides product, order, and checkout infrastructure for independent merchants. It does not matter whether consumers come via Muse, ChatGPT, or Google—so long as they ultimately make a purchase from a Shopify merchant, Shopify gains an additional sales channel. For Amazon, Muse is potentially siphoning its core traffic; for Shopify, Muse acts more as a customer acquisition driver.