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April Fool’s! 6 times Tesla and others were a little too convincing

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April Fool’s Day has come another year, and with it, a handful of fake headlines and statements ready to make fools of us all. Whether it took you a while to remember to watch for trolls today or you’ve become hardened and on-guard for the holiday, we’re looking back at some times when Tesla and others were, perhaps, a little too convincing for their own good.

Tesla has had a long history of making April Fool’s jokes, not unlike many before it in the tech automotive industries. As electric vehicles (EVs) from Tesla and others have become more popular, so too have the cultures of trolling, memes, and general online silliness continued to grow.

Elon Musk turns “Teslaquila” April Fools’ booze into the real thing

Below are six times Tesla and others (*cough* Volkswagen) rode the delicate line between April Fool’s joke and misleading the public.

2015: Tesla Model S ‘ticket-avoidance-mode’

At this point, Tesla’s Model S “ticket-avoidance-mode” video is a straight-up classic. Back in 2015, Tesla announced in a video that Model S owners would no longer need to worry about parking tickets with the use of the mode. Eight years and 22.2 million views later, the 84-second video is still pretty funny.

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2018: Tesla’s fake brush with ‘bankwuptcy’

Perhaps one of the most high-profile of Tesla’s April Fool’s jokes was surrounding the release of Tesla Tequila, then called Teslaquila—before the company was required to change the name by authorities in Mexico.

On his own Twitter profile in 2018, CEO Elon Musk posted that Tesla had gone bankrupt, detailing a “last-ditch mass sale of Easter Eggs. The thread continued, saying that Musk had been found passed out against a Tesla Model 3, with “Teslaquilla” bottles all around him.

This one stung just a little bit, as it was clearly a joke. However, Tesla’s multiple real brushes with bankruptcy in periods of  “production hell” during the Model S and Model 3 ramp probably made this one hit home for some employees and shareholders at the time.

“There are many chapters of bankruptcy and, as critics so rightly pointed out, Tesla has them *all*, including Chapter 14 and a half (the worst one),” Musk wrote in the post.

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2019: Tesla Pittsburgh store ‘downsizes’ Model S

This one is perhaps a lesser-known event than some of the company’s more public April Fool’s announcements, but it was pretty funny when the Tesla store at Ross Park Mall in Pittsburgh, Pennsylvania, “downsized” its stock, instead displaying a tiny Radio Flyer Model S for the day.

2021: Volkswagen basically changes its name to ‘Voltswagen’

This one simply needed to be included on this list: Does anyone else remember when Volkswagen highlighted its transition to EVs by issuing an April Fool’s press release to formally change its name to ‘Voltswagen’?

I do, because it was so convincing that the automaker later had to issue a wave of apologies for misleading consumers and shareholders. Volkswagen also said it published the release “accidentally,” coming out just a couple of days prior to April 1. Said to begin in May 2021, the release also coincided with the deployment of early ID.4 units, apparently intended to be “a public declaration of the company’s future-forward investment in e-mobility.”

“We might be changing out our K for a T, but what we aren’t changing is this brand’s commitment to making best-in-class vehicles for drivers and people everywhere,” wrote Scott Keogh, president and CEO of Voltswagen of America, in the fake release.

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In a follow-up, Volkswagen issued an apology statement before April Fool’s Day even began:

“What began as an April Fool’s effort got the whole world buzzing,” the automaker wrote. “Turns out people are as passionate about our heritage as they are about our electric future. So whether it’s Voltswagen or Volkswagen, people talking about electric driving and our ID.4 can only be a good thing.”

Really, this is the only one on this list that was probably too convincing. This might be a bit of a hot take, but personally, I kind of liked the fake name.

2023: Tesla Cybertruck’s highly anticipated “crash test”

This one was only a little cruel: Prior to its release in November, Tesla last April posted a short, repeating teaser of the highly anticipated Cybertruck crash test, edited to offer zero crash, zero details, and thus, zero resolve for those awaiting the real results. Many had requested details on crash testing for the Cybertruck over the years, so the unsatisfying clip got a lot of people hyped up, only to later realize the date.

This one was verifiably pretty convincing.

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Tesla did eventually go on to release the actual crash testing footage for the Cybertruck.

Elon Musk on April Fool’s this year

Lastly, I’ll let the big man himself speak for what’s worth trolling people on in 2024, but as a short preamble, it’s not auto- or energy-related, and it’s really just his latest in speaking out against Diversity, Equity and Inclusion (DEI) initiatives:

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What are your thoughts? Did I miss any April Fool’s jokes that made companies, consumers or shareholders look like fools? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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