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Tesla Autopilot and Ford BlueCruise compared in brutally honest critique
Automotive teardown specialist Sandy Munro is a brutally honest veteran who tells things as they are. This is one of the reasons why he regularly criticizes Tesla for its vehicles’ inconsistent build quality, and, more recently, why he came away unimpressed after operating Ford’s upcoming BlueCruise driver assist system, which allows drivers to take their hands off the wheel in designated “blue zones” across the United States.
Munro recently took a drive with Ford Driver Assist Technology Chief Engineer Chris Billman on a freeway, and immediately, the teardown expert and former Ford engineer noticed a number of interesting behaviors from the hands-free system. While he liked some of BlueCruise’s behaviors, Munro quickly observed that Ford’s advanced driver-assist suite could not take the off-ramp by itself. This made it quite different from the Autopilot that Munro has been using for some time now in his Tesla Model 3.
But that’s just the tip of the iceberg. Munro soon learned that BlueCruise required manual interventions when navigating curves. And when these happened, the alerts prompting drivers to keep their hands on the wheel did not include loud, audible warnings. Manual interventions with BlueCruise were also required for basic maneuvers like lane changes, and Billman was quite unclear if Ford has any plans to expand the system’s driver-assist features to inner-city streets like Tesla’s FSD Beta.
At the end of the trip, Munro concluded that Ford BlueCruise, at least in its current iteration, still has a lot of room to improve. The teardown expert highlighted that for Ford to make BlueCruise impressive, the veteran automaker must fix the system’s incapability to handle curves on the highways, even those that the company describes as “sharp curves.” Munro also noted that Ford needs to improve BlueCruise’s disengagements, which could be unclear to the driver.
“I would suggest that the sweeping curve stuff, you need to address that. I think that would be something that you absolutely flat out would want to have, better than what you’ve got today. And the reason basically is that, um, you know I got a pension plan that I need to be fully funded. I guess I’ve been a little bit spoiled by watching what Tesla’s been doing with the Full Self-Driving Beta. That is really impressive, and I’m going to suggest that somehow, if you can get your hands on that and try it out, it’ll really help you understand what I was talking about as far as improvements are concerned,” Munro said.
Interestingly enough, Ford has mounted a rather pointed strategy in promoting BlueCruise, which would be released for the Mustang Mach-E and the F-150 Lightning, with both CEO Jim Farley and Ford North America Product Communications director Mike Levine taking shots at Tesla’s Autopilot. Farley, for one, highlighted during BlueCruise’s announcement in April that the system was tested in the real world so that Ford’s customers “don’t have to,” and Levine is known to frequently mock FSD and Autopilot for its flaws while engaging in arguments with Tesla owners on Twitter.
Watch Sandy Munro’s take on Ford’s BlueCruise in the video below.
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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.”
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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
