One week following ENA's token unlock, tokens worth nearly $50 million in total have flowed to centralized exchanges (CEXs)

US President Donald Trump posted on the Truth platform: "On our new and beautiful Greenland, large-scale oil, natural gas and mineral exploration is about to kick off. Experts note that Greenland holds far more oil reserves than any other region in the world. More importantly, from the perspective of US and European defensive and offensive security, Greenland has unmatched advantages. Any future attack on the US will have to pass through Greenland first, and our defense forces will be able to easily shoot down drones, missiles or any other weapons not yet conceived. Greenland gives us time, position and vision—advantages unmatched anywhere else on Earth!" Note: Following the September 21 security agreement between the US and Denmark on Greenland, US-listed stocks tied to Greenland surged sharply in early US trading: Greenland Energy soared 152%, Greenland Mines rose over 177%, and Critical Metals Corp. gained more than 43%.

OneKey founder Yishi has published an article exploring how to repurpose an iPhone as a cold wallet. He stated that being offline alone is insufficient to defend against physical extraction risks from forensic devices, so the minimum security requirement should be an iPhone 17 or later model running iOS 27 or higher, with device migration every 1 to 2 years. Yishi added that the Memory Integrity Enforcement (MIE) technology introduced with the A19 chip effectively enhances vulnerability defense capabilities. He also noted that a device’s state "Before First Unlock (BFU)" after powering off is more secure than its "After First Unlock (AFU)" state, meaning offline storage should involve fully powering down the device. Additionally, users should never store mnemonics in notes or photos, and pair the device with a strong random password of at least 12 characters. For long-term storage of large crypto assets, he still recommends prioritizing dedicated standalone hardware signing devices.

Beating AI News Flash: OpenAI engineer Abdulrahman Alfozan was arrested on suspicion of bugging executive meetings. X user KanekoaTheGreat used Grok to investigate his public activities over the past decade, spanning X, LinkedIn, GitHub, Hacker News, and Arabic-language interviews. The probe found the engineer has long worked at U.S. tech firms and maintained close ties with Saudi Arabia’s tech and investment sectors. As early as 2018, Alfozan gave an interview detailing how he and other Saudi engineers based in Silicon Valley gathered regularly, while also working part-time as a consultant for Saudi companies. He co-founded the Saudi Silicon Valley tech advisory project, which assists Saudi institutions in evaluating technical solutions, building data systems, and recruiting talent. The project still has a public profile listing him as a team member, noting he was then employed at Facebook with expertise in machine learning and the Internet of Things (IoT). The blogger also uncovered a promotional video released by the Saudi government during Crown Prince Mohammed bin Salman’s U.S. visit that features Alfozan. Another notable career step: He joined Saudi venture capital firm Raed Ventures as a Venture Partner in February 2025, before moving to OpenAI that July. Raed’s website still lists him as a team member, noting he leads work on AI Agents and data platform engineering. The firm has co-invested with Sanabil Investments—part of Saudi Arabia’s Public Investment Fund—in fintech company SiFi. In September this year, Alfozan also appeared on a 93-minute Arabic podcast reviewing his career path from MIT and Meta to OpenAI.

Bloomberg reported Tuesday, citing data from Citadel Securities, that retail investors on the platform net bought $9.1 billion in U.S. stocks last week, hitting a 15-week high. Semiconductors were a key area of capital concentration: retail investors on Citadel Securities' platform net purchased $2.6 billion in semiconductor stocks last week, the third-highest weekly level in the past year, while AI infrastructure stocks also drew around $2.4 billion in buying. Scott Rubner, head of stock and derivatives strategy at Citadel Securities, attributed the surge in buying to improved directional confidence. The platform's retail investors' weekly buying bias reached the 90th percentile, while total trading volume stood at the 42nd percentile over the past year.

JPMorgan Chase’s October 12, 2026 research report notes that Microsoft’s Maia 300 delivers 40% more tokens per megawatt than leading GPU systems, with rack-level token throughput at full 96-accelerator configuration reaching 7 times that of Maia 200. Maia 200 offers 1.7 times more tokens per watt than GPU infrastructure. Reuters reports Microsoft plans to deploy over 1 million Maia 300 chips in 2027. Microsoft’s fiscal 2027 capital expenditure is projected at around $210 billion, with calendar 2026 capex at roughly $175 billion. JPMorgan assesses that Maia’s adoption as the primary inference system will boost Copilot performance and reduce per-compute-unit costs, lifting Microsoft Cloud’s gross margin; the bank maintains an Overweight rating on Microsoft with a target price of $625.

Beating AI Express News: Tencent announces deep integration of WeChat Work and WorkBuddy. In the new WeChat Work 5.0.12, WorkBuddy is officially added to the corporate directory, allowing employees to chat with it, assign tasks, or add it to work groups just like contacting colleagues. For example, users can ask it to summarize group chat discussions, organize meeting to-dos, or draft emails, with results returned directly upon completion. WorkBuddy 5.8.0 supports direct login via WeChat Work accounts. Within the scope of enterprise authorization, it can access 10 office capabilities including chat messages, documents, meetings, and WeChat Drive. Employees no longer need to repeatedly upload materials; they can have the AI process tasks by leveraging previous discussions and project files, and generated outputs can be saved to WeChat Drive with one click. Additionally, the WorkBuddy bot can integrate with WeChat Work’s built-in AI assistant "Dayuan" to collaborate on more complex tasks. Administrators can assign WorkBuddy accounts, set data access permissions, and use the "Observability Center" (which launched its public beta on October 13) to monitor departmental point consumption, model usage, task duration, and even track issues in specific execution steps. Currently, the new interoperability features are open to certified WeChat Work enterprises, with limited free trial spots available.