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China’s people surveillance AI startup tops $4.5B valuation

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Chinese AI startup SenseTime, a company that develops people surveillance software for the country’s law enforcement, recently finished a new funding round worth $600 million. The latest round, led by Chinese e-commerce giant Alibaba, raised SenseTime’s total valuation to over $4.5 billion.

According to CB Insights, an analyst firm, SenseTime’s total valuation today has made it the most valuable AI startup in the world. If any, the $600 million funding round proves that even private investors such as Alibaba are taking AI very seriously, and they are willing to provide resources to help companies such as SenseTime grow and thrive.

SenseTime’s business model for its AI solutions is very well balanced. On the one hand, it develops AI-powered services for mainstream smartphone makers such as Oppo and Vivo. Some of these services include the popular “Beautification” effects featured in the smartphone-makers’ camera applications. Even Chinese social media platforms such as Weibo adopt this technology in some form, through the use of AR filters developed by the startup.

On the other hand, however, one of SenseTime’s main solutions is its people surveillance software, which is primarily used by Chinese law enforcement agencies. SenseTime’s AI is currently being used by the security bureau of Guangzhou, one of China’s biggest metropolitan areas with a population of roughly 25 million people. AI solutions include software that can match surveillance footage from crime scenes to criminal database photos. According to a report from The Verge, SenseTime’s people surveillance systems have managed to identify over 2,000 suspects and helped solve almost 100 cases to date.

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Perhaps most remarkable about SenseTime is the short time it has taken the AI startup to become such a huge player in the artificial intelligence market. In a statement to the Financial Times, IDG partner Justin Niu stated that Chinese startups such as SenseTime have exhibited impressive growth over the years due to the booming surveillance market in China.

“SenseTime and its competitors can grow so fast compared to elsewhere in the world because video surveillance is a big deal in China, the government controls the budget, and there’s a huge budget for it so they can manage society,” Niu said.

The dash towards AI superiority could ultimately turn into a race between China and the United States. In this regard, China appears set to overtake the US. China has also announced its goal of being a world leader in artificial intelligence by 2030. In Beijing alone, plans are underway to develop and construct a 54.87-hectare tech park that would house up to 400 businesses. Companies in the tech park would delve in the development high-speed big data, cloud computing, biometrics, and most of all, machine-enabled deep learning. 

This does not mean that the United States is not taking AI seriously, however. In a recent report, we noted that Michael D. Griffin, undersecretary of defense for research and engineering, recently stated that advancements in artificial intelligence would be valuable in future warfare.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont

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Credit: Tesla

Tesla shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.

The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.

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The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”

Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.

The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.

Elon Musk outlines Tesla Optimus production expectations

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This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.

Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.

Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.

Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.

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As one era closes at Fremont, another is rapidly taking shape.

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Elon Musk admits he was ‘clearly wrong’ about Anthropic

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.

In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.

Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.

The tone shifted dramatically from dismissal to acknowledgement of superior performance.

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The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.

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SpaceXAI signs agreement with Anthropic for massive AI supercomputer access

Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”

To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.

Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.

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Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.

These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.

Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.

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Tesla analyst says Full Self-Driving is about to have its iPhone moment

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Credit: Tesla

A Tesla analyst believes the company’s Full Self-Driving suite is close to an “inflection point,” where people will finally realize that it is more than what it appears, similar to how many view the iPhone.

Pierre Ferragu, an analyst who has covered Tesla for many years at New Street Research, says the Full Self-Driving suite is one piece of evidence supporting the view that a Tesla is more than a car. He compared it to the iPhone and noted that the high price tag seemed like a lot for a phone early on. Then people realized the iPhone was more than just something you make calls with. It made their lives simpler.

Suddenly, that price tag was justified.

Tesla offers several models under the average transaction price for a new vehicle, which was above $49,000, according to Kelley Blue Book. However, that does not take into account that many people can still not afford a $35,000 vehicle. Ferragu offers his thoughts:

“Remember when the addressable market of the iPhone was 10 million units? Then people realized how good it was, and now, nearly 250m are sold every year.

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A similar evolution for Tesla is still on the table. A Tesla is not a car, the same way an iPhone was not a phone.

A model 3 at $35k + $100 per month is too expensive for most, but only as a car, the same way a $600 iPhone was too expensive for most, until most realized it was much more than a phone.

As a tool that gets you to work peacefully every morning, it is not expensive.”

This point is valid, especially considering the iPhone’s impact on the cell phone market. There are still a handful of players, but most people you know have an iPhone. The iPhone ties into Apple’s other ecosystem of products.

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This is how Tesla plans to infiltrate the automotive market, and once the company offers a fully autonomous suite, or something that can allow for unsupervised self-driving, more and more people will flock to Tesla.

Ferragu believes Tesla needs two additional quarters of development before things will truly change. He didn’t elaborate on what will happen in two quarters, but he said it will give us all time to “see where this is heading.”

It is really quite interesting to see people’s reactions when they find out what a Tesla is capable of. Full Self-Driving is a great tool for taking stress out of travel; I use it daily, and it has made it really difficult to consider taking any other car on a drive of practically any length.

To me, it is really hard to believe that people will not at least seriously consider a Tesla as their next car if they experience Full Self-Driving. This is a major point for those who argue that Tesla should advertise in some way.

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