According to The New York Times, the Trump administration is putting pressure on Meta to submit its latest AI models for voluntary national security reviews. Meta remains the only major US developer that has not yet reached a formal agreement to share its technology with the federal government's newly established Center for AI Standards and Innovation (CAISI). While rivals like OpenAI, Google, Microsoft, and xAI have quietly complied, Meta's policy team remains locked in tense negotiations with the Department of Commerce (DOC).
China's Unitree Robotics has slashed its humanoid robot prices sharply, in stark contrast to the industrial robot market, where prices have remained stable, and orders have continued climbing to record highs. The divergence has intensified debate over whether AI robots will first break through via humanoid or non-humanoid models.
Meta Platforms has agreed to invest US$900 million in Indian fintech startup CRED and appoint its founder, Kunal Shah, as the new global head of WhatsApp, marking a major leadership change at one of the world's largest messaging platforms.
According to a trademark application filed with the United States Patent and Trademark Office (USPTO), Tesla has submitted an intent-to-use application for a new product name: Megapod. The trademark explicitly covers modular data center hardware systems engineered for AI computing, and the system is designed to bundle computer servers, AI data processing hardware, networking equipment, power distribution units (PDUs), and advanced cooling systems into a single, integrated physical unit.
SpaceX has agreed to acquire AI coding tool developer Cursor for US$60 billion, in a deal that underscores how competition in the AI industry is extending beyond foundation models into the application layer and developer ecosystems. The purchase gives SpaceX direct access to enterprise customers, developer communities, and high-value code data instead of rebuilding a product from scratch. Markets see it as a key addition to Elon Musk's AI strategy.
Li Auto announced details of its new Mach M100 chip, a self-developed 5nm chip focused on autonomous driving, on June 15. This development marks the latest entry among Chinese automakers into designing in-house chips as they compete on cost and smart-driving features.
Electromagnetic Compatibility (EMC) testing has historically been the bane of the power electronics industry. Engineers have long approached the compliance phase through trial and error, treating the process as a troublesome obstacle rather than a milestone. This reactive methodology commonly stalls product launches and drags out development, as teams scramble for solutions late in the manufacturing cycle. Adding to the pressure is a demographic shift occurring across modern engineering departments. As senior magnetic components experts retire, an influx of entry-level engineers is being tasked with navigating complex high-frequency board layouts.
China's tighter scrutiny of foreign capital is forcing more companies to unwind red-chip structures, the offshore ownership model that powered a decade of overseas listings by Chinese technology groups.
