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Nissan sides with Tesla on camera-based self-driving approach, LiDAR not needed

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Japanese automaker Nissan Motor Co Ltd stated on Thursday that it would be using cameras and radar in the development of its full self-driving technologies. Seemingly siding with American electric car maker Tesla, Nissan argued that LiDAR, a key component in the autonomous driving systems of competitors such as GM and Ford, is too expensive for its capabilities.

Nissan’s announcement comes roughly a month after Tesla held its Autonomy Day, where Elon Musk dubbed LiDAR a “fool’s errand.” During the event, Musk predicted that companies relying on the light-based sensors would likely abandon the technology in the future. For his part, Tetsuya Iijima, general manager of advanced technology at Nissan, noted in a statement to reporters that LiDAR’s capabilities currently fail to match up to advanced camera and radar solutions.

“At the moment, LiDAR lacks the capabilities to exceed the capabilities of the latest technology in radar and cameras. It would be fantastic if LiDAR technology was at the level that we could use it in our systems, but it’s not. There’s an imbalance between its cost and its capabilities,” Iijima said.

Iijima’s statements about LiDAR are not just empty words from the Japanese carmaker, as Nissan has unveiled its own camera and radar-focused self-driving technology recently. Unlike Tesla’s current Autopilot system, which requires drivers to keep their hands on the steering wheel, Nissan’s system allows hands-free driving in single lanes on highways on predefined routes.

To enable this technology, Nissan utilizes cameras, radar, and sonar sensors to compile three-dimensional mapping data, enabling the company’s vehicles to “see” their surroundings accurately. The Japanese carmaker is also developing a “Tri-Cam” system that focuses on three points to the front and sides of a vehicle, allowing cars to capture a wide area of view.

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Nissan plans to roll out its self-driving technology even to its lineup of affordable vehicles in the future. By doing so, the carmaker expects to see a boost in sales, enabling it to recover from a profit slump. Nissan’s earnings have been rough as of late, with the company noting during a recent report that it had hit “rock bottom” amidst the aftermath of a financial scandal related to its former chairman, Carlos Ghosn.

Tesla’s full self-driving strategy, which uses cameras and artificial intelligence, was explained by Sr. Director of AI Andrej Karpathy during the electric car maker’s Autonomy Day event last month. Karpathy likened Tesla’s full self-driving approach to the way humans operate a vehicle, even joking that the event’s attendees only used their biological cameras (eyes) and neural networks (brain) to drive to the event’s venue. “You all used your own neural network in your brains to get here. You didn’t shoot lasers from your eyes to drive,” Karpathy lightly said.

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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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.

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Credit: xAI/X

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.”

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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. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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Credit: xAI

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.”

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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. 

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Investor's Corner

Tesla gets price target bump, citing growing lead in self-driving

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Credit: Tesla

Tesla (NASDAQ: TSLA) stock received a price target update from Pierre Ferragu of Wall Street firm New Street Research, citing the company’s growing lead in self-driving and autonomy.

On Tuesday, Ferragu bumped his price target from $520 to $600, stating that the consensus from the Consumer Electronics Show in Las Vegas was that Tesla’s lead in autonomy has been sustained, is growing, and sits at a multiple-year lead over its competitors.

CES 2026 validates Tesla’s FSD strategy, but there’s a big lag for rivals: analyst

“The signal from Vegas is loud and clear,” the analyst writes. “The industry isn’t catching up to Tesla; it is actively validating Tesla’s strategy…just with a 12-year lag.”

The note shows that the company’s prowess in vehicle autonomy is being solidified by lagging competitors that claim to have the best method. The only problem is that Tesla’s Vision-based approach, which it adopted back in 2022 with the Model 3 and Model Y initially, has been proven to be more effective than competitors’ approach, which utilizes other technology, such as LiDAR and sensors.

Currently, Tesla shares are sitting at around $433, as the company’s stock price closed at $432.96 on Tuesday afternoon.

Ferragu’s consensus on Tesla shares echoes that of other Wall Street analysts who are bullish on the company’s stock and position within the AI, autonomy, and robotics sector.

Dan Ives of Wedbush wrote in a note in mid-December that he anticipates Tesla having a massive 2026, and could reach a $3 trillion valuation this year, especially with the “AI chapter” taking hold of the narrative at the company.

Ives also said that the big step in the right direction for Tesla will be initiating production of the Cybercab, as well as expanding on the Robotaxi program through the next 12 months:

“…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”

Tesla analyst breaks down delivery report: ‘A step in the right direction’

Tesla has transitioned from an automaker to a full-fledged AI company, and its Robotaxi and Cybercab programs, fueled by the Full Self-Driving suite, are leading the charge moving forward. In 2026, there are major goals the company has outlined. The first is removing Safety Drivers from vehicles in Austin, Texas, one of the areas where it operates a ride-hailing service within the U.S.

Ultimately, Tesla will aim to launch a Level 5 autonomy suite to the public in the coming years.

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