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Tesla Autopilot is now a ‘distant 2nd’ to GM Super Cruise: Consumer Reports
Tesla’s Autopilot may have the best performance, capabilities, and ease of use in Consumer Reports’ recent ranking of active driving assistance systems, but it remains “a distant second” to GM’s Super Cruise nonetheless. This was according to the testing organization on Wednesday.
The results echo Consumer Reports’ findings in its first-ever ranking of active driving assistance systems back in 2018, which also ended with GM Super Cruise taking the top spot and Tesla Autopilot taking second place. This time around, the testing organization tested 17 systems from various carmakers, as opposed to the four that were evaluated in 2018. Needless to say, the results were quite interesting.
Each of the active driving assistance systems in this year’s test was evaluated under the following metrics: Capability and Performance, Keeping the Driver Engaged, Ease of Use, Clear When Safe to Use, and Unresponsive Driver. Tesla’s Autopilot aced two of these metrics, specifically Capability and Performance as well as Ease of Use. Autopilot earned an impressive score of 9/10 in Capabilities and Performance and a 7/10 for Ease of Use.
According to Consumer Reports, Autopilot performed the best among the 17 systems it tested in its lane-keeping assist tests. Autopilot was also deemed the best when it comes to how easy it is to use. Kelly Funkhouser, CR’s head of connected and automated vehicle testing, noted that systems that score well in Ease of Use usually require non-complex input from drivers. “One of the last things you want in a system that is supposed to assist the driver is to make things overly complicated,” Funkhouser said.
Unfortunately for Tesla, Autopilot was rated poorly by Consumer Reports when it came to the Keeping the Driver Engaged metric. For this metric, Tesla’s driver-assist system earned a paltry 3/10 score due to Autopilot’s alleged lack of driver monitoring systems. In contrast, GM’s Super Cruise, the highest-ranking system in this metric with a 7/10 score, was praised for its camera-based driver monitoring system that uses eye-tracking technology.
Super Cruise was also the top-ranked system with an 8/10 score in the Clear When Safe to Use metric, since the system could only be used on areas where the driver-assist suite could perform safely. “Cadillac stood out in this category because Super Cruise can be used only on pre-mapped, divided highways. Plus, Super Cruise will even warn the driver in advance when there is an upcoming lane-merge or complex situation that requires extra attention.,” Consumer Reports noted.
Tesla Autopilot earned a 2/10 score in Clear When Safe to Use, due to the system being accessible in areas that are not low-risk. “Active driving assistance systems should only be able to be activated in low-risk driving environments, void of pedestrians and tricky situations, such as intersections and complicated traffic patterns,” Funkhouser said.
Tesla Autopilot earned a 6/10 score for Consumer Reports’ Unresponsive Driver metric. This metric, as noted by the testing organization, evaluates systems based on their capability to operate vehicles safely in the event that the driver falls asleep or encounters a medical emergency. Systems were evaluated based on their escalation process for warnings, steering control, and speed control.
Overall, GM Super Cruise earned a total score of 69 from the testing organization, while Tesla Autopilot earned a total score of 57. Following closely was Ford Co-Pilot 360 at 52 and Audi Pre Sense at 48. Funkhouser, for her part, noted that Super Cruise’s driver monitoring system remains a difference-maker. “Even with new systems from many different automakers, Super Cruise still comes out on top due to the infrared camera ensuring the driver’s eyes are looking toward the roadway,” the head of connected and automated vehicle testing said.
Consumer Reports’ discussion of its recent active driving assistance suite rankings could be accessed here.
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.”
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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
