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GM says Tesla can’t achieve Level 5 self-driving using Autopilot hardware
Director of autonomous vehicle integration for General Motors, Scott Miller, thinks Tesla’s goal to build a self-driving vehicle that meets SAE’s criteria for a fully autonomous Level 5 car is not physically possible when using Autopilot hardware.
“The level of technology and knowing what it takes to do the mission, to say you can be a full level five with just cameras and radars is not physically possible,” said Miller in speaking to the Australian press about Tesla CEO Elon Musk’s goal to produce a full self-driving vehicle using Autopilot technology.
“The mission” that Miller is speaking about is Musk’s plan to demonstrate a cross-country drive from California to a parking garage in NY, in a Tesla, and achieved completely without human intervention. Miller believes that Tesla’s perception of fully autonomous self-driving doesn’t take into account the safety levels and standards defined by the SAE for Level 5 autonomy. According to the SAE’s Automated Driving Guide, Level 5 allows for “the full-time performance by an automated driving system of all aspects of the dynamic driving task under all roadway and environmental conditions that can be managed by a human driver.”
“I think you need the right sensors and right computing package to do it. Think about it, we have LIDAR, radar and cameras on this. The reason we have that type of sensor package is that we think you need not be deeply integrated in to be level five, you should have redundancy.” says Miller.
“Do you really want to trust just one sensor measuring the speed of the car coming out of an intersection before you pull out? I think you need some confirmation. So, radar and LIDAR do a good job at measuring object speed, cameras do a great job at identifying objects. So, you can use the right sensor images to give you confidence in what you’re seeing, which I think is important if you’re going to put this technology out for general consumption.”
Miller adds, “Could you do it with less and be less robust? Probably. But could you do it with what’s in a current Tesla Model S? I don’t think so.”
“Could you do it with what’s in a current Tesla Model S? I don’t think so.”
The GM executive’s stance on using LiDAR in combination with radars and cameras goes completely against the grain of Musk who firmly believes that its LiDAR-less Autopilot hardware suite is capable of achieving full autonomy and at a consumer-friendly price point.
Musk reaffirmed his position that Autopilot hardware included in the latest Model S and Model X will be able to support self-driving features. “You can absolutely be superhuman with just cameras. You could probably do it 10 times better than a human with just cameras.” said Musk at TED2017.
“November or December of this year, we should be able to go all the way from a parking lot in California to a parking lot in New York with no controls touched in the entire journey.”
Still, the majority of technologists within the autonomous driving community believes that infrared LIDAR and its ability to create complex 3D maps to support autonomous cars is crucial when it comes to reliability and safety.
General Motors recently launched its SuperCruise system on the Cadillac CT6 that allows Level 2 autonomous driving. The Detroit-based automotive giant believes that achieving Level 5 full autonomy is still 15 years away.
What do you think about GM’s comments? Is Musk’s vision for Tesla’s Full Self-Driving capabilities overly optimistic?
https://www.youtube.com/watch?v=_rxW68ADldI
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Tesla Giga Berlin draws “red line” over IG Metall union’s 35-hour week demands
Factory manager André Thierig has drawn a “red line” against reducing Giga Berlin’s workweek to 35 hours, while highlighting that Tesla has actually increased its workers’ salaries more substantially than other carmakers in the country.
Tesla Giga Berlin has found itself in a new labor dispute in Germany, where union IG Metall is pushing for adoption of a collective agreement to boost wages and implement changes, such as a 35-hour workweek.
In a comment, Giga Berlin manager André Thierig drew a “red line” against reducing Giga Berlin’s workweek to 35 hours, while highlighting that Tesla has actually increased its workers’ salaries more substantially than other carmakers in the country.
Tesla factory manager’s “red line”
Tesla Germany is expected to hold a works council election in 2026, which André Thierig considers very important. As per the Giga Berlin plant manager, Giga Berlin’s plant expansion plans might be put on hold if the election favors the union. He also spoke against some of the changes that IG Metall is seeking to implement in the factory, like a 35-hour week, as noted in an rbb24 report.
“The discussion about a 35-hour week is a red line for me. We will not cross it,” Theirig said.
“(The election) will determine whether we can continue our successful path in the future in an independent, flexible, and unbureaucratic manner. Personally, I cannot imagine that the decision-makers in the USA will continue to push ahead with the factory expansion if the election results favor IG Metall.”
Giga Berlin’s wage increase
IG Metall district manager Jan Otto told the German news agency DPA that without a collective agreement, Tesla’s wages remain significantly below levels at other German car factories. He noted the company excuses this by referencing its lowest pay grade, but added: “The two lowest pay grades are not even used in car factories.”
In response, Tesla noted that it has raised the wages of Gigafactory Berlin’s workers more than their German competitors. Thierig noted that with a collective agreement, Giga Berlin’s workers would have seen a 2% wage increase this year. But thanks to Tesla not being unionized, Gigafactory Berlin workers were able to receive a 4% increase, as noted in a CarUp report.
“There was a wage increase of 2% this year in the current collective agreement. Because we are in a different economic situation than the industry as a whole, we were able to double the wages – by 4%. Since production started, this corresponds to a wage increase of more than 25% in less than four years,” Thierig stated.
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Tesla is seeing a lot of momentum from young Koreans in their 20s-30s: report
From January to November, young buyers purchased over 21,000 Teslas, putting it far ahead of fellow imported rivals like BMW and Mercedes-Benz.
Tesla has captured the hearts of South Korea’s 20s-30s demographic, emerging as the group’s top-selling imported car brand in 2025. From January to November, young buyers purchased over 21,000 Teslas, putting it far ahead of fellow imported rivals like BMW and Mercedes-Benz.
Industry experts cited by The Economist attributed this “Tesla frenzy” to fandom culture, where buyers prioritize the brand over traditional car attributes, similar to snapping up the latest iPhone.
Model Y dominates among young buyers
Data from the Korea Imported Automobile Association showed that Tesla sold 21,757 vehicles to the 20s-30s demographic through November, compared to BMW’s 13,666 and Mercedes-Benz’s 6,983. The Model Y led the list overwhelmingly, with variants like the standard and Long Range models topping purchases for both young men and women.
Young men bought around 16,000 Teslas, mostly Model Y (over 15,000 units), followed by Model 3. Young women followed a similar pattern, favoring Model Y (3,888 units) and Model 3 (1,083 units). The Cybertruck saw minimal sales in this group.
The Model Y’s appeal lies in its family-friendly SUV design, 400-500 km range, quick acceleration, and spacious cargo, which is ideal for commuting and leisure. The Model 3, on the other hand, serves as an accessible entry point with lower pricing, which is valuable considering the country’s EV subsidies.
The Tesla boom
Experts described Tesla’s popularity as “fandom culture,” where young buyers embrace the brand despite criticisms from skeptics. Professor Lee Ho-geun called Tesla a “typical early adopter brand,” comparing purchases to iPhones.
Professor Kim Pil-soo noted that young people view Tesla more as a gadget than a car, and they are likely drawn by marketing, subsidies, and perceived value. They also tend to overlook news of numerous recalls, which are mostly over-the-air software updates, and controversies tied to the company.
Tesla’s position as Korea’s top import for 2025 seems secured. As noted by the publication, Tesla’s December sales figures have not been reported yet, but market analysts have suggested that Tesla has all but secured the top spot among the country’s imported cars this year.
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Tesla FSD fleet is nearing 7 billion total miles, including 2.5 billion city miles
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles.
Tesla’s Full Self-Driving (Supervised) fleet is closing in on almost 7 billion total miles driven, as per data posted by the company on its official FSD webpage.
These figures hint at the massive scale of data fueling Tesla’s rapid FSD improvements, which have been quite notable as of late.
FSD mileage milestones
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles. Tesla owner and avid FSD tester Whole Mars Catalog also shared a screenshot indicating that from the nearly 7 billion miles traveled by the FSD fleet, more than 2.5 billion miles were driven inside cities.
City miles are particularly valuable for complex urban scenarios like unprotected turns, pedestrian interactions, and traffic lights. This is also the difference-maker for FSD, as only complex solutions, such as Waymo’s self-driving taxis, operate similarly on inner-city streets. And even then, incidents such as the San Francisco blackouts have proven challenging for sensor-rich vehicles like Waymos.
Tesla’s data edge
Tesla has a number of advantages in the autonomous vehicle sector, one of which is the size of its fleet and the number of vehicles training FSD on real-world roads. Tesla’s nearly 7 billion FSD miles then allow the company to roll out updates that make its vehicles behave like they are being driven by experienced drivers, even if they are operating on their own.
So notable are Tesla’s improvements to FSD that NVIDIA Director of Robotics Jim Fan, after experiencing FSD v14, noted that the system is the first AI that passes what he described as a “Physical Turing Test.”
“Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies,” Fan wrote in a post on X.

