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Elon Musk roasts WSJ coverage of fatal Tesla crash, defends Autopilot
Tesla CEO Elon Musk roasted the Wall Street Journal for their coverage of the crash that killed two men involving a 2019 Model S. Mainstream media reports claimed that the vehicle was “driverless” in an attempt to cast bad press on Tesla’s Autopilot and Full Self-Driving systems. Musk shared new details regarding the vehicle involved, revealing that the car was not subscribed to the Full Self-Driving program, a voluntary purchase made by Tesla owners, nor could it have been operating on Autopilot due to a lack of road lines.
Musk, in a reply to a skeptical Twitter user who didn’t believe a media outlet’s coverage of the accident, said:
“Data logs recovered so far show Autopilot was not enabled & this car did not purchase FSD. Moreover, standard Autopilot would require lane lines to turn on, which this street did not have.”
Tesla alleged “driverless” crash in Texas: What is known so far
The Wall Street Journal reported the story with the headline “Fatal Tesla Crash in Texas Believed to Be Driverless.” This uses the automatic association that Tesla electric vehicles have with self-driving programs. However, Tesla does not, nor has it ever claimed to have a self-driving vehicle or software that would make a car drive without the driver needing to pay attention. Tesla has a suite called Full Self-Driving (FSD) but has maintained that it is still the driver’s responsibility to pay attention to the road and abide by all road rules. The FSD suite is available for $10,000 and can be purchased at any time.
Your research as a private individual is better than professionals @WSJ!
Data logs recovered so far show Autopilot was not enabled & this car did not purchase FSD.
Moreover, standard Autopilot would require lane lines to turn on, which this street did not have.
— Elon Musk (@elonmusk) April 19, 2021
However, the vehicle involved in the accident was not subscribed to the FSD program. Tesla keeps records of its cars and can track whether any car has FSD or not. Musk claims that data logs that have been recovered thus far show that the involved vehicle did not have FSD.
Additionally, Tesla’s basic Autopilot suite, which now comes standard on every vehicle, would not have been able to function with the road conditions presented in the area of the accident. Standard Autopilot requires road lines to be functional. This road was unmarked, so Tesla’s basic Autopilot feature would not have been active. It’s impossible.
Unfortunately, Tesla’s Autopilot and Full Self-Driving suites are usually the first points of blame when an accident occurs. When Tesla’s are involved in violent or fatal accidents, they are very publicly covered by media outlets. It only adds fuel to the skeptic’s fire against the FSD and self-driving programs that Tesla is currently working on completing. In the past, Elon Musk has stated that Tesla may accomplish Level 5 autonomy by the end of 2021, but the CEO and the company have never claimed that a Tesla vehicle can drive itself. The company has also enforced several barriers that would prevent a driver from letting the vehicle operate independently. If a driver does not keep their hands on the steering wheel while the car is in motion, the vehicle will automatically pull over, and Autopilot will be deactivated for the remainder of the drive.
The company also has revoked FSD access to some drivers after abusing the capabilities of the software and not handling it responsibly.
This should dismiss the idea that AP was somehow the cause of this horrific incident. I pray for the family and friends of the deceased. Let’s trust the real investigators will discover what really happened here. pic.twitter.com/0tp8Vbh6fH
— Mikey Likes (@mliebow) April 18, 2021
Reports indicate that the NHTSA has launched an investigation into the Texas crash to determine the cause of the fatal collision.
Tesla recently released its Q1 2021 Safety Report, which showed that cars operating on Autopilot are nearly ten times safer than cars that are being operated by a humans.
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
