If Ethereum drops below $1900, the cumulative long liquidation on major CEXs will reach $408 million

A gambler (or possibly a hacker) sold 262.78 $ETH for 643K $USDC and deposited it into Hyperliquid, then opened a 40x short on 305.51 $BTC ($25.4M) 40 minutes ago. Liquidation price: $84,086.03

Key pre-market news for U.S. stocks is as follows: 1. Morgan Stanley bullish on SpaceX: $300 price target, citing long-term growth potential from enterprise AI, computing power expansion, and U.S. manufacturing revival. 2. Apple plans to hold a new product event around Oct. 27, with expected launches including a touchscreen Mac and new iPad mini. Separately, Nikkei reports Apple is cutting iPhone 18 Pro orders due to weak demand. 3. SpaceX announces an agreement to acquire a nationwide low-band spectrum asset portfolio. 4. Nvidia may adopt Intel’s Foveros packaging technology; the chipmaker will invest in rival semiconductor firm D-Matrix. 5. Coreweave is discussing data center partnerships with South Korea. 6. Market news: Netflix is undergoing a restructuring that will impact roughly 5% of its workforce, with an announcement possibly coming as early as next week. 7. Data center firm Firmus, reportedly backed by Nvidia, is seeking $3 billion in funding after shelving its IPO plans.

Beating AI News: Former Doubao desktop product manager Zhong Erxin has open-sourced iPhone Use, allowing Codex to directly operate real iPhones. Users only need to issue tasks in natural language, and Codex can open apps, read pages, tap, swipe, input Chinese, and search and organize lists. The entire operation process is viewable in real time in Codex’s sidebar. The project is built on Appium’s WebDriverAgent (WDA), a mobile automation tool based on Apple’s XCTest framework. Developers first install WDA on the iPhone via Xcode, then send Codex’s instructions to the device via the Mac-based MCP service, with WDA executing actions like taps and inputs. No jailbreaking is required, nor is a separate Appium Server deployment needed. To cut down on AI overhead from repeatedly viewing screenshots, iPhone Use prioritizes reading system-provided UI control data to directly identify button text, positions, and statuses. For unrecognizable or occluded controls, it falls back to screenshots for the model to determine tap coordinates. It also supports batch execution of continuous operations to reduce model call counts. The sidebar’s real-time feed is pulled via WDA’s independent screen stream, eliminating the need for repeated screenshots. Currently, iPhone Use’s official tutorial still requires a USB connection to the phone; first-time use requires Xcode to sign and install WDA. Apple supports wireless debugging, and WDA is network-accessible, but the project has not yet released a complete wireless connection configuration solution.

Beating AI Insight Flash News: Startup TypeSafe AI, developer of the AI model Jev, has completed approximately $870 million in funding, led by Andreessen Horowitz (a16z), with participation from Sequoia Capital and multiple angel investors, valuing the company at $7.5 billion. Jev quickly gained popularity after its launch several weeks ago. TypeSafe reports that its user base surpassed 1 million within days, and the model is now used by roughly one-third of Fortune 500 companies. Unlike traditional large language models (LLMs), Jev is not designed for chatting, email writing, or code generation. Instead, it integrates directly into software to execute decision-making tasks, aiming to deliver AI automation at lower costs and higher speeds. According to the company, it processes trillions of tokens daily. TypeSafe was founded by researchers from OpenAI, Meta, and Google, and currently has a team of just over 20 people. The company stated that the new funding will be used to expand product deployment, hire staff, and increase computing power resources. Its CEO said the company has achieved profitability after accounting for all expenses, though revenue figures were not disclosed.

Market analysis notes that since October 2022, the S&P 500 index has risen 117% cumulatively, driving the total market capitalization of U.S. stocks to increase by nearly $40 trillion, with the rally mainly fueled by AI-related stocks. Meanwhile, the S&P 500 Equal Weight Index has underperformed its market-cap weighted counterpart by 52 percentage points, hitting the widest gap in history—underscoring this bull market’s reliance on a small number of large tech stocks. Nvidia’s share price has surged more than 1900% cumulatively over the same period, while U.S. Treasury yields have recently risen to 5.34%, further stoking market concerns about valuation pressures. Investors are closely monitoring whether corporate earnings growth can sustain this bull market.

Injective has published a post explaining the relationship between its blockchain network, native token INJ, and the proposed Canary Staked INJ ETF (ticker: INJC). The blockchain serves as a transaction settlement infrastructure for financial applications, while INJ is used to pay network fees, stake to maintain network security, and participate in governance. If approved, INJC will offer investors exposure to INJ price movements and staking yields via traditional securities accounts. On the token economic front, Injective distributes staking rewards through protocol issuance and reduces circulating supply via token burns. Its Community BuyBack mechanism ties ecosystem revenue to INJ burns: participants receive a proportional share of an ecosystem asset basket based on the percentage of INJ they commit, while their committed INJ is burned. Regarding the ETF, Canary Capital has filed a related application with the U.S. SEC, naming BitGo Bank & Trust as the proposed custodian for INJ. Per the application documents, the fund plans to stake at least 90% of its INJ under normal conditions, with staking rewards typically reinvested. The product remains a proposal and is pending regulatory approval.