General Motors (GM) is set to pause production of the Cruise Origin self-driving van following multiple incidents with the subsidiary’s driverless taxis in San Francisco.
After a self-driving Cruise taxi dragged and pinned a woman in the California city last month, the state’s Department of Motor Vehicles (DMV) immediately suspended the company’s license to operate driverless vehicles. This and other incidents with Cruise’s robotaxis have sparked new investigations and caused the company to re-evaluate its self-driving approach, including plans to cease production on the upcoming driverless van.
Cruise CEO Kyle Vogt tried to address concerns about the safety of the company’s autonomous vehicles during a company-wide meeting on Monday, from which Forbes obtained audio. During the address, Vogt said that GM will be pausing production of the Origin van, which was expected to ramp up in the coming months.
Vogt told workers, “because a lot of this is in flux, we did make the decision with GM to pause production of the Origin.”
The company was planning to build the Origin van without a steering wheel or pedals, expected to be completely autonomous. Cruise was scheduled to debut the driverless vehicle this year, with some units already having been produced. Vogt also said last year the vehicle would be able to act as a delivery courier when not in use as a robotaxi.
During the meeting, Vogt said that GM had produced hundreds of the Origin van thus far, which he added would be “more than enough for the near-term when we are ready to ramp things back up.”
Vogt also said Cruise is actively cooperating with its regulators and partners during this time, and reports last week showed that the company has hired a third-party legal firm and a technology consultant to aid its internal reviews.
“During this pause we’re going to use our time wisely,” Vogt said.
Just last month, GM CEO Mary Barra said Cruise hoped to have the vehicle on the road in Tokyo as soon as 2026.
“As Cruise continues to push the boundaries of what AV technology can deliver society, safety is always at the forefront,” Barra said during GM’s Q3 earnings call. “And this is something they are continuously improving.”
DMV officials noted that Cruise had “omitted” and “misrepresented” certain details about the October 2 accident with a pedestrian, and Vogt went on to highlight the company’s need to regain the public’s trust during the pause. In addition to facing local scrutiny, Cruise has also garnered additional investigations from federal regulators.
“And so if we want to rebuild trust with these groups, we have got to make sure that we are having those discussions and they hear things from us first and not from the press,” Vogt added during the Monday meeting. “So, candidly because we’ve had some leaks about information coming out of this meeting we have got to be careful what we share from this meeting, or these efforts to rebuild trust could backfire.”
The news of GM’s production pause on the Origin van was later confirmed by GM spokesperson Chaiti Sen, who told Forbes that the automaker would be “finishing production on a small number of pre-commercial vehicles,” before “temporarily” ending production.
“More broadly speaking, we believe autonomous vehicles will transform the way people move around the world, and the Origin is an important part of the AV journey – it’s the first scalable vehicle ever designed specifically for autonomous rides and will make transportation more accessible,” she added in the email.
Cruise is essentially a competitor to Tesla’s Full Self-Driving (FSD), which is currently available to users in a beta version. Tesla’s FSD beta, while offering brief periods of hands-free driving on highways, is still meant to be monitored during use at all times, and drivers are expected to be ready to regain control of the car at any point. Additionally, Tesla’s FSD beta system also faces scrutiny from regulators.
Tesla delivering cars with FSD installed, no update required
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
