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Tesla Top 5 Week in Review: TSLA surge, 0-60 mph 2.05 sec, neural nets, and more
Tesla has been in the news a lot this week, as usual, but the biggest headlines surrounded its unexpectedly strong stock market performance. Another event that made the Tesla crowd happy was the release of a new over-the-air software update which removed a power limiting safety feature. In a related story, a team of creative folks reverse engineered the maximum theoretical acceleration of a car; if you didn’t read this story, you’ll be amazed what they found out. Tesla CEO Elon Musk was a featured speaker in the UAE at the World Summit, which coincided with Tesla’s entrance into that market. And Musk also offered some fascinating insights about artificial intelligence and what the future might look like if humans don’t stay current with AI’s potential. Here are those stories.
Tesla (TSLA) shares surge across 52-week high as Model 3 production takes stage
Over a six month period, Tesla shares rose by nearly 25% and traded this week above $280. This is within grasp of the company’s all-time high, with a market cap that has grown by $10 billion. Investors have begun to give more weight to Tesla’s highly anticipated Model 3, which is slated to begin production on February 20. Development and planned timeline launch for the Model 3 look good and are critical to Tesla’s continued success moving forward. If all goes as hoped, the vehicle will help take the company from producing about 100,000 cars annually today to 500,000 annually in 2018.
Tesla removes performance restrictions in latest software update
Tesla’s policy on limiting the power output of its performance vehicles due to frequency patterns of launch mode engagement and maximum power levels has ended. This week, the car manufacturer pushed a software update to its customers that removes power limiting on Performance variants of its Model S and Model X. Tesla continued to remind its customers that prudent habits can prevent premature wear of components due to high stress launches. Tesla confirmed that they will now “monitor the condition of the powertrain and display an alert if service is needed so we can take proactive steps, such as by replacing parts if necessary, to maintain the vehicle’s performance.”
Math says, Tesla’s “Maximum Plaid” mode could achieve 0-60 mph in 2.05 seconds
In this article scoop, Teslarati related how a group of really creative folks at Engineering Explained decided to reverse engineer the maximum theoretical acceleration that a Tesla Model S could achieve. The team worked somewhat counter-intuitively. They began by calculating the maximum deceleration first. Then they moved back up to acceleration, focusing on a stock Model S with stock tires. The result? Tesla’s next generation Roadster with “Maximum Plaid” mode may have the ability to accelerate from 0-60 mph in 2.05 seconds.
Elon Musk presents at the Tesla Launch Event in the UAE (Video)
Tesla CEO Elon Musk was a celebrity speaker at this week’s World Government Summit in Dubai. In his remarks, Musk noted, “We expect to invest tens of millions of dollars in the UAE for charging, service and support infrastructures. By next year, you’ll be able to travel anywhere in the GCC with an electric vehicle.” As he spoke about sustainability, Musk acknowledged that EV availability wouldn’t necessarily translate into immediate sales, as the region still considers fossil fuel-powered cars to be the preferred method of transportation. Following Musk’s visit, the UAE announced that it had ordered 200 Model S and Model X vehicles for use as a limousine service.
Elon Musk says human brains need to merge with AI to stay competitive with machines
As artificial intelligence technology improves, as some point humans will become irrelevant. That’s why we must learn to merge with machines, according to Tesla CEO Elon Musk, who explained some of his beliefs about the dangers of artificial intelligence this week. “I think we need to be very careful in how we adopt artificial intelligence and that we make sure that researchers don’t get carried away,” he stated. “Sometimes what will happen is a scientist will get so engrossed in their work that they don’t really realize the ramifications of what they’re doing.” Musk described how humans can mitigate those dangers through a type of merger of biological and machine intelligence, which he said would solve the problem of humans losing control over artificial intelligence.
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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
