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cover of episode Tesla Exec says FSD years behind Waymo

Tesla Exec says FSD years behind Waymo

2025/5/23
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Elon Musk Podcast

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Elon Musk
以长期主义为指导,推动太空探索、电动汽车和可再生能源革命的企业家和创新者。
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Tesla's head of autopilot and AI software
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software engineer
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Tesla's head of autopilot and AI software: 特斯拉的自动驾驶负责人表示,尽管马斯克多年来做出了大胆的承诺,但特斯拉的完全自动驾驶技术仍然落后于谷歌的 Waymo 几年。这一评估打破了特斯拉通常对自动驾驶时间表的信心,对于一直等待特斯拉实现自动驾驶愿景的工程师和消费者来说,这些评论更加引人注目。 Elon Musk: 我认为激光雷达是自动驾驶的拐杖,特斯拉的策略是依靠摄像头。我们选择纯视觉方案,虽然在成本上有优势,但也带来了技术上的挑战。工厂改造是必要的,并且安排在季节性需求较低的第一季度。消费者在购买决策时,到底有多关心CEO的政治观点? software engineer: 作为软件工程师,我承认仅用视觉传感器解决自动驾驶在技术上具有挑战性,但对于世界而言,低成本的解决方案更有价值。这种成本和能力之间的权衡已成为特斯拉在自动驾驶领域的标志性特征。

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Tesla's head of autopilot and AI software admitted that Tesla's full self-driving technology is years behind Waymo's. This is due to Tesla's decision to use a camera-only approach, while Waymo uses LiDAR sensors. Despite the cost advantage of cameras, this approach has created technical challenges that Tesla hasn't solved, resulting in safety issues observed in real-world testing.
  • Tesla's FSD technology trails Waymo by years.
  • Tesla uses a camera-only approach (TeslaVision), while Waymo uses LiDAR.
  • Tesla's camera-only approach has limitations, leading to safety issues.
  • The cost difference between camera and LiDAR sensors is decreasing.

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Tesla's head of autopilot and AI software just delivered some uncomfortable truths about the company's autonomous driving capabilities. They told an interviewer that Tesla's full self-driving technology still trails Google's Waymo by a couple of years despite years of bold promises by Elon Musk.

about robotaxis and coast-to-coast autonomous drives. This admission comes at a particularly awkward time for Tesla, which plans to launch its Robotaxi service pilot next month and has spent years marketing itself as the leader in automotive autonomy. The timing raises serious questions about whether Tesla's self-driving promises match the technical reality on the ground.

This assessment breaks from Tesla's usual pattern of projecting confidence about its autonomous driving timeline, making the comments all the more striking for engineers and consumers who've been waiting for Tesla to deliver on its self-driving vision.

Now, the gap between Tesla and Waymo comes down to fundamental technical choices made years ago. Tesla chose a camera-only approach called TeslaVision, while Waymo equipped its vehicles with expensive LiDAR sensors that cost around $75,000 per unit. Elon Musk famously called LiDAR a crutch and bet Tesla's autonomous strategy

to cameras. And they cost between a dollar and $10 per sensor. This decision seems smart from a cost perspective, but it created technical challenges that Tesla still hasn't solved.

Now, the performance difference shows up in real-world testing scenarios. Business Insider recently tested Tesla's full self-driving software and watched it drive into a bike lane before running a red line. Waymo's vehicle took a different route during the same test and avoided both problems entirely.

These aren't edge cases or minor glitches, but fundamental safety issues that highlight the technical gap that they acknowledged. Now, Tesla's camera-only approach faces inherent limitations that make autonomous driving harder to achieve. Cameras rely on external lighting conditions and struggle in situations where LiDAR excels, like detecting objects in complete darkness or measuring precise distances to other vehicles. The...

software engineer admitted that solving autonomous driving with vision-only sensors is technically challenging, but argues it's more valuable for the world to have a low-cost solution. This trade-off between cost and capability has become Tesla's defining characteristic in the autonomous driving space.

The cost argument has become less compelling as LiDAR prices have dropped dramatically. Modern LiDAR units now cost under $1,000, cheap enough for Toyota to include them in a $20,000 Chinese market electric vehicle. Tesla's cars cost twice as much but still rely exclusively on cameras. Power efficiency is another factor. Cameras use 0.9 watts each compared to 10 watts for a Luminar Halo LiDAR unit.

Tesla's hardware for cars use eight external cameras, so the total power consumption difference isn't as dramatic as it appears. Tesla's struggle with autonomous driving matter because they affect the entire electric vehicle industry's capabilities.

When the market leader in electric vehicles repeatedly misses self-driving deadlines, it undermines consumer confidence in the brand and in autonomous technology across all manufacturers. Tesla has been promising a fully autonomous coast-to-coast drive since 2016, and each missed deadline makes the next promise harder to believe for some consumers.

This credibility gap extends beyond Tesla to other companies making similar claims about autonomous driving deadlines.

Now, the admission also affects Tesla's business model and stock valuation. Tesla trades at a premium compared to traditional automakers, partly because investors believe the company will generate revenue from autonomous robotaxis. If Tesla's self-driving technology really lags Waymo by years, that robotaxi revenue might take much longer to materialize than investors expect. The gap between Tesla's market valuation and its actual autonomous driving capabilities could force a significant repricing of the stock.

Meanwhile, Tesla's sales problems extend beyond autonomous driving into core business fundamentals. The company's global deliveries dropped 13% in the first quarter of this year, while EV sales increased in the United States, Europe, and China. Musk blames the decline on factory retooling for the refreshed Model Y, claiming that Tesla had to shut down production facilities worldwide to implement changes. He

He insists that retooling was necessary and timed for the first quarter when seasonal demand traditionally runs lower.

Musk claims Tesla has seen a major rebound in demand following the factory retooling, but the sales data doesn't support this assertion yet. Tesla's April numbers continue declining, especially in Europe, where some countries saw drops as large as 80%. China represents Tesla's second largest market, and sales there fell 9% in April, while the overall Chinese electric vehicle market grew 38%. These numbers suggest Tesla's problems go deeper than temporary factory shutdowns.

and the sales decline coincides with Musk's controversial political activities and his relationship with President Donald Trump. Many analysts point to Musk's political involvement as a factor in Tesla's declining sales, particularly among environmentally conscious consumers who traditionally buy electric vehicles. Now, Musk discusses this concern, asking how much consumers really care about a CEO's political views when making purchasing decisions. The

The question reveals a disconnect between Musk's perception and market reality, as consumer sentiment data suggests political associations do influence buying decisions for many Tesla customers. Now, Tesla's current situation illustrates the challenge of managing technical innovation alongside public expectations. Now, the company built its reputation on ambitious promises about autonomous driving and sustainable transportation.

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This honest assessment of Tesla's position relative to Waymo provides a rare glimpse into the technical reality behind the marketing claims. That admission that Tesla trails Waymo by years contradicts the company's public messaging about being ready to launch robotaxi services. Now, it's a fresh departure for Tesla's usual confident public statements about autonomous driving.

The willingness to acknowledge this position relative to competitors suggests the company might be adopting a more realistic approach to communicating about its self-driving timeline. Whether this honesty translates into more achievable promises and better execution remains to be seen, but it provides a clearer picture of where Tesla actually stands in the race toward full autonomy.

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