General Motors (GM) is said to be ending its Ultra Cruise driver assistance program, after years of the technology being called a potential rival to Tesla’s Full Self-Driving (FSD) beta.
As GM attempts to correct issues with its separate self-driving company Cruise following an October accident, the automaker has also been reallocating spending and considering the path forward for its own semi-autonomous driving programs. According to two sources familiar with the matter in a report from CNBC, GM is now ending its Ultra Cruise project after expectations that the system was to launch in the U.S. last year have come and gone.
One of the sources said GM will end the Ultra Cruise program to instead put energy into developing the Super Cruise system, rather than featuring two different ADAS systems with separate naming conventions. While it wasn’t directly commented on, this point seems to have been highlighted by one GM executive in response to the initial report.
“GM continues to expand access to and increase the capability of Super Cruise, our advanced driver assistance technology,” said Darryll Harrison Jr., GM’s VP of Global Tech Communications, in a statement to CNBC, though he declined to comment on Ultra Cruise. “Our focus remains on safely deploying this technology across GM brands and more vehicle categories while expanding to even more roads.”
At the time of writing, GM has not responded to Teslarati’s requests for further comment.
Not to be confused with GM’s more limited Super Cruise system, Ultra Cruise was set to be available in the automaker’s premium vehicles, while the former was being developed for economy-level products. Ultra Cruise was going to offer hands-free driving and a wider set of areas in which the advanced driver assistance system (ADAS) could be used, and it was eventually expected to become capable of driving the car on its own in 95 percent of cases.
Ultra Cruise was also set to use a combination of long-range cameras and short-range sensors, while the system also uses more computing power than Super Cruise. In addition, Ultra Cruise boasted the use of real-time data to govern automobile control—hence its comparison to the Tesla FSD beta.
GM announced plans to debut Ultra Cruise in its Cadillac Celestiq electric vehicle (EV) in a press release last year, after initially announcing the software in 2021.
“Ultra Cruise will cover more than 2 million miles of roads at launch in the United States and Canada, with the capacity to grow up to more than 3.4 million miles,” wrote in its original announcement of the product. “Customers will be able to travel truly hands free with Ultra Cruise across nearly every road including city streets, subdivision streets and paved rural roads, in addition to highways.”
Another similarly named arm of GM, its subsidiary Cruise, has recently been facing significant scrutiny, after the GM-owned company had one of its self-driving vehicles drag and pin a pedestrian in October.
The aftermath of that incident has caused months-long turmoil at the startup, with multiple executives having left ahead of the company laying off around a quarter of the staff. The company also faces both state and federal investigations into its vehicles’ accident response and technology, and GM has halted production of its Origin self-driving van.
During an Automotive Press Association last month, GM CEO Mary Barra said the company was “very focused on righting the ship” at subsidiary Cruise.
GM expands Super Cruise hands-free driving to full-size SUVs
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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
