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Watch Tesla’s FSD tackle water cup challenge, dirt roads in China
How does Tesla’s Full Self-Driving face off against competitors in China when it comes to smoothness and scalability?
Tesla’s Full Self-Driving (FSD) started going out for testing in China last month, representing the first market outside of North America to get the software. Amidst competition in the automated driving space from a number of other Chinese companies, Tesla’s FSD seems to be impressing in early reviews, with recent reviews highlighting both the software’s smoothness and its ability to adapt and perform well on non-traditional roads.
In a Saturday video originally posted by user 王船船 on Douyin, the Chinese version of TikTok, a driver utilizes the Supervised FSD system while performing what’s called the “water challenge,” in which a cup of water is balanced on the driver’s side window ledge to see if driving is smooth enough to avoid spilling.
The drive spans a little more than four minutes, and the system manages to make it through without the water spilling in any substantial quantities. The driver mostly remains on city streets, but you can see a handful of quick, unexpected stops, turns, and other maneuvers that one might expect to make the cup tip completely.
The video was also reposted on X by Tesla’s main account, with the company highlighting the system’s “maximum smoothness” as demonstrated in the video. Tesla VP of AI Ashok Elluswamy also reposted the video, saying in a separate follow-up post that “FSD’s been prepared for this one.”
Maximum smoothness https://t.co/p4aM3StgRk
— Tesla (@Tesla) March 15, 2025
Although Tesla’s FSD system didn’t have access to real-world driving data from the company’s vehicles at the time of its launch in China, Elon Musk recently explained that the company used publicly available video from the internet to help pre-train FSD for Chinese streets and traffic laws.
In addition to helping with city streets, Tesla has explained in the past that its camera- and video-based FSD neural network training makes the system easily scalable to multiple countries, fringe traffic cases, and even less traditional roads.
As another example of this in China, FSD testers also took to some dirt roads last week, showing just how well the software seems to handle some seemingly-deep and super-narrow back roads. You can see excerpts from this video below, or check out the full 25-minute version from user AE68 on Douyin.
Tesla FSD testers in China do seem to be built different. That’s some REALLY rural roads!
— TESLARATI (@Teslarati) March 14, 2025
READ MORE ON TESLA CHINA: Cheaper Tesla Model Y may launch in China
Tesla’s FSD in China amidst local competition
Tesla officially launched a localized data privacy version of FSD Supervised in China last month, The launch came amidst a headstart from multiple competitors in the autonomous driving space, including from Chinese automakers Baidu, Huawei, and still others.
The Avatr 11 electric vehicle (EV), a jointly created project from Changan New Energy, CATL, and Huawei, was recently seen being tested by Out of Spec’s Kyle Conner. The system uses Huawei’s latest automated driving system technology, Qiankun ADS 3.2, which Conner recently said was “the best driver assistance he’s ever experienced” in a recent review on his trip to China.
You can see this video and an additional video from Conner and Out of Spec discussing the emerging autonomous vehicle industry in China below. It’s also worth noting that both of these were released just a few weeks before Tesla’s first version of FSD launched in the country.
The Best FSD System In China! 1 Hour Drive Using Huawei Qiankun ADS 3.2 Installed In Avatr 11 (2/1/25)
The EV Industry Isn’t Ready For China’s FSD Breakthrough (2/2/25)
Elon Musk clarifies the holdup with Tesla Full Self-Driving launch in Europe
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla deliveries got a big boost in expectations from Wall Street firm Goldman Sachs, who believes the company will report some stronger-than-expected numbers when the second quarter comes to an end in the coming weeks.
Goldman Sachs has raised its vehicle delivery forecast for Tesla (NASDAQ: TSLA) in the second quarter of 2026, signaling growing confidence in the electric vehicle leader’s near-term momentum despite mixed market signals. Analyst Mark Delaney lifted the bank’s Q2 estimate to 420,000 units from a previous 405,000, surpassing the Visible Alpha consensus estimate of 400,000.
The upward revision stems from stronger-than-expected sales data across key regions. Europe stands out with projected year-over-year growth of 85-90 percent, driven by robust demand for Tesla’s Model Y and refreshed offerings. China posted high single-digit gains, while markets like South Korea and Australia also contributed positive momentum. These gains help offset mid-teens declines in U.S. deliveries through May, where broader EV market headwinds and competition persist.
Goldman extended its optimism to the full year, increasing its 2026 delivery projection to 1.73 million vehicles from 1.72 million. Longer-term forecasts remain unchanged, with 1.88 million units expected in 2027 and 1.96 million in 2028. The bank also nudged its 2026 earnings-per-share estimate higher to $1.35 from $1.30, reflecting anticipated margin benefits from higher volumes and operational efficiencies.
Despite these positive adjustments, Goldman maintained its Neutral rating and $375 price target on Tesla shares. At current trading levels near $411, the stock sits about 8-9 percent above the target, highlighting ongoing valuation concerns even as delivery momentum builds. Tesla’s Q1 2026 deliveries totaled 358,023 units, setting a baseline for recovery expectations in the current period.
This update arrives as Tesla prepares to report official Q2 figures shortly after June 30. Investors and analysts will closely watch not only headline delivery numbers but also regional breakdowns, average selling prices, and progress on energy storage deployments and autonomous technology initiatives.
The move by Goldman Sachs underscores a broader narrative for Tesla: while legacy auto markets face softening demand and tariff uncertainties, Tesla’s global footprint and product pipeline provide resilience. Europe’s surge reflects pent-up demand and policy support for EVs, while China’s steady growth highlights Tesla’s competitive positioning against local rivals.
Tesla still has its work cut out for it, including U.S. price sensitivity and intensifying competition. Yet Goldman’s revision adds to a series of analyst notes suggesting Q2 could mark a turning point. As Tesla pushes toward higher production rates at facilities in Fremont, Shanghai, and Berlin, sustained execution will be key to validating these higher forecasts.
We have said numerous times that deliveries are becoming a less important metric in the grand scheme of things, as AI truly takes precedence in the company’s thesis.
For Tesla bulls, the Goldman note reinforces faith in underlying demand trends. For skeptics, the unchanged rating serves as a reminder that delivery beats alone may not immediately resolve valuation debates in a high-interest-rate environment. Tesla’s stock reaction will likely hinge on the official numbers and management commentary in the coming weeks.
SpaceX has exercised its option to acquire Cursor, the innovative AI coding company, in an all-stock transaction valued at $60 billion. The deal, announced on June 16, marks a significant step in SpaceX’s expansion into advanced artificial intelligence, building on months of close collaboration between the companies.
Cursor, officially operated by Anysphere, Inc., is an AI-native code editor and coding agent designed to transform software development. Founded in 2022 by a group of MIT graduates in San Francisco, Cursor builds on the familiar foundation of Visual Studio Code but integrates powerful AI capabilities directly into the core experience.
Unlike traditional code editors or simple extensions, Cursor functions as a full “coding agent” that turns natural-language instructions into actionable code.
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models.
For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon.… https://t.co/X5mepgXgjJ
— SpaceX (@SpaceX) June 16, 2026
Developers interact with Cursor through features like its Composer agent, which can search entire codebases, edit multiple files, run terminal commands, debug issues, and complete complex multi-step programming tasks autonomously.
Users describe high-level goals, such as “build a scalable API endpoint with authentication,” and the AI plans, implements, tests, and refines the solution while the human oversees decisions. Additional tools include advanced autocomplete (Tab), context-aware chat, and infrastructure for handling billions of daily requests.
The platform has gained considerable traction, surpassing $3 billion in annual recurring revenue by early 2026 and earning adoption by over half of the Fortune 500 companies. Its agentic approach accelerates development dramatically, allowing engineers to focus on architecture and creativity rather than repetitive coding.
The acquisition integrates Cursor’s leading product, expert team of roughly 300 engineers, and distribution network among top software developers with SpaceX’s unparalleled computational resources. SpaceX’s Colossus supercomputer, equivalent to a million H100 GPUs, has already powered joint training of next-generation models. These models are expected to launch soon within Cursor and SpaceX’s Grok Build environment.
This combination positions SpaceX to develop the world’s most capable AI systems for coding and knowledge work. Access to Cursor’s real-world usage data from millions of professional developers provides unparalleled feedback loops for model improvement. Training on Colossus enables rapid iteration on massive datasets, potentially creating AI that outperforms current leaders in reliability, context handling, and complex reasoning.
For SpaceX, the benefits extend far beyond software tools. Rocket engineering, satellite constellation management, autonomous flight systems, and Starship development involve millions of lines of highly specialized, safety-critical code.
Cursor’s AI agents, supercharged by proprietary models trained on SpaceX’s domain expertise, could slash development timelines, reduce errors, and enable faster innovation cycles. This vertical integration of AI tooling strengthens SpaceX’s competitive edge in both aerospace and the broader AI race, complementing its xAI initiatives.
The deal reflects the exploding value of AI-native developer platforms. By owning Cursor outright, SpaceX secures a strategic talent pool and product pipeline that will accelerate internal projects while potentially offering enhanced tools to the wider engineering community. As AI continues reshaping software creation, this acquisition underscores SpaceX’s commitment to leveraging cutting-edge technology for ambitious goals, from Mars colonization to global connectivity.
Apple is developing the missing link for Tesla to get CarPlay: report
Tesla deliveries get a big boost in expectations from Wall Street
