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Tesla’s China EV Sales Surge Amid Broad Market Recovery

Robust Growth In China’s EV Market

Tesla’s performance in China has been notably impressive, with its China-made electric vehicles experiencing a nearly 40% year‐on‐year sales increase in May. According to preliminary data published by the China Passenger Car Association, the automaker delivered 85,982 new energy vehicle units from its Shanghai Gigafactory. This facility services both domestic and overseas markets, producing the popular Model 3 and Model Y, and its strong output reflects a significant rebound in China’s segmented EV market.

Competitive Landscape And Industry Recovery

May’s data reveals that domestic EV sales across China’s manufacturers reached 1.36 million units, a growth of 12% year‐on‐year and an 11% uptick compared to April. While Tesla’s figures underscore an emerging recovery, its competitors are also registering positive trends. For instance, BYD managed to halt an eight‐month decline by posting a marginal increase in new energy passenger vehicle deliveries, reaching 376,990 units. Meanwhile, companies such as Leapmotor and Geely’s premium brand Zeekr surged by over 80% in May. Established EV players like Nio and tech giant Xiaomi also reported significant year‐on‐year gains following new product launches that continue to capture consumer interest.

Tesla’s Bold Step In Full Self-Driving Technology

Tesla’s stellar sales performance coincided with announcements regarding its Full Self-Driving (FSD) system. The company announced broader availability of the feature on May 21 following a series of regulatory and approval processes. Before the rollout, access to advanced driver-assistance functions had been limited to a smaller group of users.

Regulatory Challenges And Legal Controversies

The launch of FSD Supervised has also attracted scrutiny. According to local media reports, a group of Chinese vehicle owners has initiated legal action against Tesla, alleging that the company misrepresented the availability of certain advanced driving features. Regulatory reviews of the technology remain ongoing, and Tesla has not publicly commented on the reported legal proceedings. China remains the world’s largest electric vehicle market, with competition intensifying as domestic manufacturers and international brands expand their product offerings and technology capabilities.


Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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