General Motors (GM) has officially launched layoffs at its self-driving robotaxi business Cruise, coming just months after the automaker first announced plans to cut funding and wind down operations for the startup.
In December, GM said that it would funding and end Cruise, after the company lost its permit to operate autonomous vehicles and saw major staff shake-ups following an accident involving one of its robotaxis in October 2023. In an all-hands meeting on Tuesday, Cruise said that GM has officially acquired the remainder of the company as it starts to lay off 50 percent of its remaining staff, according to a report from The Verge.
“We are grateful for their passion and contributions to help us reach this stage, and our focus is on supporting them into their next chapter with severance packages and career support,” said Sara Autio, a Cruise spokesperson. “While not an easy decision, we are focused on combining efforts with General Motors to accelerate autonomy at scale on personal autonomous vehicles.”
With the winding down of Cruise, GM will move away from the commercial robotaxi business altogether, and instead focus on in-house driver assistance development.
“By combining the specialized technology and talent at Cruise with our team developing Super Cruise, we’ll have the ability to accelerate our work on both assisted-driving and autonomous driving,” said Dave Richardson, SVP of software and services engineering at GM. “We look forward to teaming with Cruise to accelerate our work together.”
READ MORE ON GM’S CRUISE:
- Cruise forced to boost settlement offer in California accident hearing
- Cruise ordered to pay max penalty for delayed accident report
Cruise down memory lane: the October 2023 accident and subsequent downfall
Just a couple of months after gaining approval to operate its autonomous ride-hailing service 24 hours a day in San Francisco, a Cruise robotaxi seriously injured a pedestrian who had been hit by a vehicle with a human driver on October 3, 2023. The pedestrian was plunged into the path of the Cruise vehicle by the first impact, at which point the robotaxi attempted to engage an emergency pull-over maneuver, dragging the pedestrian and eventually stopping and pinning the person under its rear axle.
Authorities arrived on scene and used the Jaws of Life to lift the vehicle off the pedestrian, before rushing them to the hospital, according to the San Francisco Fire Department.
The California Department of Motor Vehicles (DMV) immediately suspended Cruise’s permit to operate autonomous vehicles after the accident. Multiple founding executives would go on to step down from the company, and an initial round of layoffs affecting about a quarter of the company came a couple of months later.
Cruise also faced significant scrutiny over its failure to disclose certain details about its response to the accident, facing investigation efforts from the state’s DMV, the California Public Utilities Commission (CPUC) and the National Highway Traffic Safety Administration (NHTSA), which later ordered the company to pay a $1.5 million fine.
While GM spent most of last year talking up its efforts to regain public and regulatory trust and to relaunch Cruise services, the company announced plans to end funding for the business in December, citing “the considerable time and resources that would be needed to scale the business, along with an increasingly competitive robotaxi market.”
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Former Cruise CEO launches robotics firm with ex-Tesla AI manager
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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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
