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Tesla Model S Plaid at 50% charge pulls faster than supercars, data shows

(Credit: @klwtts/Twitter)

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During the reign of the Tesla Model S Performance, P100D, P90D, and P85D, electric car critics typically pointed out that the flagship sedan could only achieve its peak performance when the car was fully charged. Critics stated that once the top-tier Model S’ battery dropped to about 50%, drivers should expect a notable drop in performance. 

The Model S critique was one of the likely reasons why Porsche highlighted the Taycan’s capability to post consistent 0-60 mph and quarter-mile times regardless of its state of charge. Tesla decided to change the narrative with the Model S Plaid’s performance eventually. The company later noted that the flagship sedan could now post consistent performance figures even as its state of charge decreased. 

Data from drivers who have taken delivery of the Model S Plaid has since proven Tesla’s claim. But that’s not all. As per a recent video from Brooks Weisblat, from YouTube channel DragTimes, Model S Plaid with only 50% state of charge could accomplish a full quarter-mile run in the mid-9 seconds. With those results, the Model S Plaid is faster than some of the world’s best supercars today and significantly faster than the Porsche Taycan Turbo S. 

The DragTimes host was able to get Dragy data from two separate Model S Plaid owners who launched their cars in regular roads. One of the vehicles had a 98% state of charge, while the other only had 50% of its battery charged. Remarkably, the Model S Plaid posted relatively similar times. The vehicle with 98% charge completed the quarter-mile in 9.39 seconds and the car with just 50% battery finished the same run in 9.56 seconds. 

Even more notable, the Model S Plaid with 50% battery actually posted a better 0-60 mph time of 2.38 seconds than the vehicle with 98% charge, which posted a 0-60 mph time of 2.42 seconds. The trap speed of the vehicles at the quarter-mile mark was not too far apart either. The vehicle with 98% battery hit the quarter-mile mark at 152.43 mph and the Model S Plaid with 50% battery hit the same mark at 146.64 mph. 

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Being a drag racing enthusiast, Weisblat has tested some of the world’s fastest supercars on the quarter-mile. Just like the two Model S Plaid owners who posted their Dragy data, the YouTube host also tested a number of supercars on the street for their real-world performance, including the Ferrari SF90, the McLaren 765LT, the Lamborghini Huracan Evo, and the Porsche Taycan Turbo S. Each of these vehicles’ quarter-mile times were not as impressive as the Model S Plaid with 50% state of charge. 

The Ferrari SF90, for example, completed its quarter-mile in 9.64 seconds. The McLaren 765LT, one of the supercar maker’s best quarter-mile vehicles, completed the same run in 9.88 seconds. The Lamborghini Huracan EVO, on the other hand, finished the quarter-mile in 10.44 seconds, while the Porsche Taycan Turbo S completed the run in 10.39 seconds. This is an incredible achievement for the Model S Plaid, and it speaks to the vehicle’s consistent performance. 

Watch DragTmes‘ video on the Model S Plaid’s real-world quarter-mile times in the video below. 

Do you have anything to share with the Teslarati Team? We’d love to hear from you, email us at tips@teslarati.com.

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Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

The CEO stated that Nvidia is already an investor in xAI, but he wished he had given the artificial intelligence startup more money.

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Credit: Elon Musk/X

Nvidia CEO Jensen Huang revealed that one of his investment regrets is not putting more money into Elon Musk’s artificial intelligence startup, xAI. 

Speaking in a CNBC interview, Huang said Nvidia is already an investor in xAI but wished he had given the artificial intelligence startup more money. This was due to Musk’s record of building transformative companies such as Tesla and SpaceX.

A new wave of transformative AI firms

Huang said he’s very excited about xAI’s latest financing round. He described Musk’s company as part of a powerful new generation of AI developers, alongside OpenAI and Anthropic. that are reshaping the computing landscape.

“I’m super excited about the financing opportunity they’re doing. The only regret I have about xAI, we’re an investor already, is that I didn’t give him more money. You know almost everything that Elon’s pat of, you really want to be part of as well,” the Nvidia CEO stated.

The CEO also clarified Nvidia’s investment in xAI, revealing that Elon Musk had offered the investment opportunity to the chipmaker. “He (Musk) gave us the opportunity to invest in xAI. I’m just delighted by that,” Huang stated.

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AI investment boom

Huang contrasted today’s AI-driven economy with the early days of the internet. “Back then, all the internet companies combined were maybe $30 or $40 billion in size,” he said. “If you look at the hyperscalers now, that’s about $2.5 trillion of business already operating today.”

He also stated that the ongoing shift from CPU-based computing to GPU-powered generative AI represents a “multi-trillion-dollar buildout” that Nvidia is looking to support. Huang added that every Nvidia engineer now works with AI coding assistants such as Cursor, which he called his “favorite enterprise AI service,” and it has led to a major productivity boost across the company.

Watch Nvidia CEO Jensen Huang’s CNBC interview in the video below.

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Investor's Corner

Stifel raises Tesla price target by 9.8% over FSD, Robotaxi advancements

Stifel also maintained a “Buy” rating for the electric vehicle maker.

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Credit: Tesla China

Investment firm Stifel has raised its price target for Tesla (NASDAQ:TSLA) shares to $483 from $440 over increased confidence in the company’s self-driving and Robotaxi programs. The new price target suggests an 11.5% upside from Tesla’s closing price on Tuesday.

Stifel also maintained a “Buy” rating despite acknowledging that Tesla’s timeline for fully unsupervised driving may be ambitious.

Building confidence

In a note to clients, Stifel stated that it believes “Tesla is making progress with modest advancements in its Robotaxi network and FSD,” as noted in a report from Investing.com. The firm expects unsupervised FSD to become available for personal use in the U.S. by the end of 2025, with a wider ride-hailing rollout potentially covering half of the U.S. population by year-end.

Stifel also noted that Tesla’s Robotaxi fleet could expand from “tiny to gigantic” within a short time frame, possibly making a material financial impact to the company by late 2026. The firm views Tesla’s vision-based approach to autonomy as central to this long-term growth, suggesting that continued advancements could unlock new revenue streams across both consumer and mobility sectors.

https://twitter.com/AIStockSavvy/status/1975893527344345556

Tesla’s FSD goals still ambitious

While Stifel’s tone remains optimistic, the firm’s analysts acknowledged that Tesla’s aggressive autonomy timeline may face execution challenges. The note described the 2025 unsupervised FSD target as “a stretch,” though still achievable in the medium term.

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“We believe Tesla is making progress with modest advancements in its Robotaxi network and FSD. The company has high expectations for its camera-based approach including; 1) Unsupervised FSD to be available for personal use in the United States by year-end 2025, which appears to be a stretch but seems more likely in the medium term; 2) that it will ‘probably have ride hailing in probably half of the populations of the U.S. by the end of the year’,” the firm noted.

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Tesla Cybertruck’s Full Self-Driving update is ‘coming soon’

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Tesla Cybertruck owners are wondering when they will get access to the company’s Full Self-Driving version 14.1 that rolled out to other owners today for the first time.

Cybertruck owners typically receive Full Self-Driving updates slightly later than other drivers, as the process for the all-electric pickup is different. It is a larger vehicle that requires some additional attention from Tesla before FSD versions are rolled out, so they will be slightly delayed. CEO Elon Musk said the all-wheel steering technically requires a bit more attention before rollout as well.

After some owners got access to the v14.1 Full Self-Driving suite this morning, Cybertruck owners sought out a potential timeframe for when they would be able to experience things for themselves.

Tesla owners show off improvements with new Full Self-Driving v14 rollout

They were able to get an answer from Ashok Elluswamy, Tesla’s Head of AI, who said:

“We got you. Coming soon.”

The release of FSD v14.1 for Cybertruck will not be tempered, either. Elluswamy then confirmed that Tesla would be rolling out the full-featured FSD v14 for the pickup, meaning it would be able to reverse and park itself, among other features.

Elluswamy said it would be capable of these features, which were void in other FSD releases for Cybertruck in the past.

Tesla’s rollout of FSD v14.1 brings several extremely notable changes and improvements to the suite, including more refined operation in parking garages, a new ability to choose parking preferences upon arriving at your destination, a new driving mode called “Sloth,” which is even more reserved than “Chill,” and general operational improvements.

Those who were lucky enough to receive the suite have already started showing off the improvements, and they definitely seem to be a step up from what v13’s more recent versions were capable of.

CEO Elon Musk called v14 “sentient” a few weeks back, and it seems that it is moving toward that. However, he did state that additional releases with more capabilities would be available in the coming weeks, but many owners are still waiting for this first version.

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