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Porsche Taycan showcases track abilities beside high-performance cars in the Nurburgring

[Credit: cvdzijden - Supercar Videos/YouTube]

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Porsche has been very vocal about its aim to ensure that the Taycan, its first all-electric car, would be at home on the racetrack. Porsche’s gasoline-powered cars are famed for their performance and their “soul,” and the company has maintained that the Taycan would be no different.

This means that the upcoming electric four-door sedan would have to be proficient and tuned enough to handle the world’s most challenging racecourses. To accomplish this, Porsche has been taking some of the Taycan’s camouflaged prototypes to one of Germany’s most iconic tracks — the Nurburgring. The intense, twisting 12.93-mile racetrack is famed for its difficulty, resulting in an adage which states that “if a vehicle runs on the Nurburgring, it can run anywhere.”

Just recently, the Porsche Taycan was sighted sharing the famous racetrack with some of Germany’s most iconic high-performance cars, as well as a number of fellow camouflaged prototypes from Audi, BMW, and Mercedes-Benz, to name a few. A video of the vehicles was posted by YouTube’s cvdzijden – Supercar Videos channel, which shares clips of vehicle testing sessions in the racetrack.

The recent Nurburgring session is part of the Industry Pool, an initiative that involves more than two dozen OEMs, all of which combine financial resources to rent out the racetrack four days a week, 16 weeks a year (usually two weeks/month between April and October). In true Industry Pool fashion, several unreleased vehicles could be seen aggressively tackling the turns of the track, but among all of the cars, the Taycan stands apart due to its stealthy way of hugging turns and then exploding forward with its instant torque.

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Porsche’s approach to refining the track capabilities of the Taycan is indicative of its experience in the auto industry. Over the past months, the automaker has been taking its camouflaged Taycan prototypes to the Nurburgring for track sessions. This approach seems to be a little bit different from Tesla and its Track Mode for the Model 3 Performance, which was largely developed in-house and heavily software-based. Tesla CEO Elon Musk dubbed Track Mode as an “Expert User Mode” for the electric car, in the way that it would allow drivers to tweak their vehicles’ settings according to their preferences.

The Porsche Taycan is expected to be marketed as a competitor for the Tesla Model S, but its listed specs are more comparable to the Model 3 Performance. The German automaker states that the Taycan would be able to accelerate from 0-60 mph in 3.5 seconds, eventually hitting a top speed of 155 mph. The vehicle is also expected to feature a 310-mile range per charge, and it would be supported by Porsche’s upcoming Charge Parks, a fast-charging network not unlike Tesla’s Superchargers.

Porsche seems to be the one legacy automaker that is really committed to its electric car push. While companies like Jaguar and Mercedes-Benz have released electric vehicles, neither one has announced a dedicated charging infrastructure for their cars. That said, this is not to say that everything about the Taycan is going well.

The company plans to build the Taycan at its Zuffenhausen facility in Stuttgart, Germany, a location that also manufactures the Porsche 911, 718 Boxster, and the 718 Cayman. Last July, Porsche head of production Albrecht Reimold noted that it is quite difficult to find a location to set up the Taycan’s assembly lines in the facility, especially considering the work that would have to be done to transform the factory and optimize it for the electric car’s production. Ultimately, Porsche aims to build 20,000 Taycans per year when the vehicle enters production, which is expected to begin in 2019.

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Watch the Porsche Taycan fit right in with other high-performance cars in the video below.

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 deliveries get a big boost in expectations from Wall Street

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Credit: Tesla

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.

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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.

Tesla reports Q1 deliveries, missing expectations slightly

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.

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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.

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SpaceX makes first acquisition post-IPO with coding leader Cursor

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Credit: SpaceX

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.

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.

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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.

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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.

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Tesla Cybercab specs revealed: range, curb weight, range ratings, and more

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(Credit: Teslarati)

Tesla’s Cybercab has taken a significant step toward production with new technical details emerging from 2026 EPA certification documents.

The filings, which include a Certificate of Conformity issued in late May, provide the most comprehensive public look yet at the purpose-built autonomous vehicle designed for high-volume, low-cost ride-hailing operations.

At its core, the Cybercab is a front-wheel-drive electric vehicle powered by a single 163 kW (219 horsepower) AC permanent magnet motor. Despite its modest output, prioritizing efficiency and cost over neck-snapping acceleration, the vehicle boasts a strong power-to-weight ratio thanks to its lightweight curb weight of 3,113 pounds and a GVWR of 3,730 pounds.

It operates on a 326-volt electrical architecture with a compact ~48 kWh lithium-ion battery pack. The standout revelation is the vehicle’s exceptional efficiency, which Tesla has routinely flexed in the past.

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EPA lab tests list an equivalent all-electric range of 418 miles combined and 375 miles on the highway. Tesla has previously targeted around 300 miles of real-world range, and analysts expect the final EPA-rated figure to land near 280-300 miles after adjustment factors.

At a certified 165 Wh/mi in earlier testing, the Cybercab is reportedly the most efficient EV ever produced, significantly outperforming vehicles like the Lucid Air Pure.

This efficiency stems from deliberate design choices tailored for robotaxi duty. The two-seater features a highly aerodynamic shape, minimal weight, which is aided by structural battery integration of what are likely 4680 cells, and no steering wheel or pedals in its fully autonomous configuration.

For ride-hailing fleets, where average trips are short, and can be just five or ten miles, the smaller battery enables faster charging cycles, lower material costs, and reduced vehicle price, a key to Tesla’s goal of a ~$30,000 production cost.

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Implications for Autonomous Mobility

These specs underscore Tesla’s strategy: maximize utilization and minimize operating expenses. A ~48 kWh pack could support dozens of short rides per charge, with energy costs potentially dropping below 20 cents per mile at scale. Front-wheel drive simplifies manufacturing and maintenance compared to dual-motor AWD setups in passenger Teslas.

The 219 hp motor provides ample performance for urban and highway speeds without excess, addressing questions about why such power is needed in a “slow” autonomous vehicle. Quick merges and hill climbing still matter for safety and passenger comfort.

Production has already begun at Giga Texas, with EPA certification clearing the path for U.S. deployment. While unsupervised Full Self-Driving remains the critical hurdle, these details paint a compelling picture of a vehicle engineered from the ground up for the robotaxi future: affordable to build, cheap to run, and capable of delivering strong range on a fraction of the battery capacity found in today’s EVs.

As Tesla ramps toward volume output, the Cybercab could reshape urban transportation economics.

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