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Tesla has ‘no chance’ to achieve Full Self-Driving next year, claims Zoox co-founder

(Credit: Tesla)

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Tesla’s Full Self-Driving initiatives recently received a stern dismissal from Zoox co-founder and CTO Jesse Levinson, who stated during a recent conference that the Elon Musk-led electric car maker has “no chance” to fully develop autonomous driving technology in 2020. The comments come amidst Tesla’s efforts to roll out functions of its Full Self-Driving suite, which Elon Musk expects will be “feature complete” in the near future. 

Zoox is a self-driving car startup that is aimed at developing autonomous vehicles that are specifically designed for ride-hailing. This makes the company notably different compared to Tesla, which is planning a ride-hailing service while producing electric cars for individual ownership. Zoox’s approach to achieve full self-driving is also different from the Silicon Valley-based carmaker, with the company using a unique LiDAR setup that involves placing four individual units on each corner of its full self-driving vehicle. 

While speaking at Business Insider‘s IGNITION: Transportation event in San Francisco Tuesday, Levinson stated that the existing technology to truly achieve autonomous driving simply does not exist today. The components will eventually be ready, according to the CTO, but the necessary parts for a full self-driving setup are still being developed. Thus, when asked if he believes Tesla will have a chance to achieve Elon Musk’s goal of attaining autonomous driving in 2020, Levinson had a simple answer: “No.”

Explaining his response, Levinson stated that Tesla’s electric cars don’t have enough sensors or computers to achieve full self-driving. While the Zoox co-founder maintained that he believes Tesla’s vehicles are “great” and that the company’s Autopilot system is second to none on the freeway, he nevertheless thinks that autonomous driving is still far away for the electric car maker. 

“They don’t have enough sensors or computers to do that given any remotely known technology that exists that humans have ever created. And by the way they’re great cars, the Tesla Autopilot system on the freeway is I think the best out there … I think if Musk focused on that aspect it would be better received,” he said. 

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In a way, it appears that Levinson’s statements may be coming from the fact that he and Tesla CEO Elon Musk are using two very different approaches for autonomous driving, as well as a lack of updates regarding the Silicon Valley-based carmaker’s autonomous driving initiatives. While Zoox has innovated by using conventional sensors for its vehicles, for example, Tesla has gone ahead and pursued FSD with just a custom computer, a neural network, and a suite of cameras, radar, and ultrasonic sensors. 

Apart from this, Elon Musk has also been very dismissive of LiDAR, stating that the use of the component is a “fool’s errand” and that any company using the technology for autonomous driving is “doomed.” Tesla’s Hardware 3 computer, unveiled earlier this year and now being retrofitted to the first batches of vehicles, was also created and designed to have enough computing power to facilitate the implementation of fully-autonomous driving systems.

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’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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Elon Musk’s Biggest Revelations on AI, Robots, and the Future of Work from the Moonshots Podcast

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Elon Musk’s appearance on the Moonshots with Peter Diamandis podcast was packed with bold predictions, candid admissions, and surprising tech insights. The nearly three-hour conversation covered everything from artificial intelligence to humanoid robots, geopolitics, and the future of work. Here are the top 10 most intriguing takeaways:

  1. Aggressive AGI Timeline Predictions

    Musk offered a detailed view on when artificial general intelligence (AGI) could emerge, suggesting it may arrive sooner than many expect,  emphasizing both transformative potential and risks.  

  2. U.S. vs. China in the AI Race

    He discussed the strategic competition between the United States and China over AI development, noting that geopolitical dynamics will shape how and who leads in the next decades.  

  3. Future of Job Markets

    Musk touched on how AI and automation could reshape employment, predicting massive boosts in productivity alongside potential disruptions in traditional work structures.  

  4. Clean Energy Transition

    A recurring theme was the role of clean energy in future economies, with Musk reiterating the importance of scaling sustainable power generation and storage.  

  5. Humanoid Robots Are Coming

    On the podcast, Musk elaborated on Tesla’s work on humanoid robots, hinting at timelines and applications that go beyond factories to general-purpose assistance.

  6. Tesla Roadster “Last Human-Driven Car”

    Outside the core discussion topics, Musk teased features of the upcoming Tesla Roadster — calling it “the best of the last of the human-driven cars” and suggesting safety won’t be its main selling point.  

  7. The Role of AI in Clean Energy and Robotics

    Linking AI to both energy optimization and robotics, Musk explained how smarter systems could accelerate decarbonization and task automation across industries.  

  8. U.S. Innovation Leadership

    Musk argued that maintaining American leadership in key tech sectors like AI, space, and robotics should be a national priority, with thoughtful policy and investment.  

  9. Job Creation vs. Job Elimination

    While acknowledging automation’s disruptive effects, he also outlined scenarios where new industries and opportunities could emerge, particularly in AI, space, and advanced manufacturing.  

  10. Long-Term Vision for Humanity

    Throughout the conversation, Musk revisited his long-term philosophical views — including a belief in humanity’s responsibility to become a multi-planetary and technologically empowered species.  

Whether you agree with Musk’s optimism or not, the podcast offers a window into the thinking of one of the most influential figures in tech today, in and why his visions continue to spark debate and inspiration.

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