The Tesla Cybertruck unveiling event has pretty much become the stuff of internet legend. Part of this is due to the vehicle itself, which is just so different that it stands out from the rest of the pickup trucks in the market. The unveiling also included the Cybertruck’s now-infamous Armor Glass demo, which resulted in the all-electric pickup having two broken windows.
Elon Musk has since taken the unfortunate incident in stride, and this was evident in his recent appearance at the Hack Club AMA, where he spoke with aspiring members of the tech community. Interestingly enough, one of the group’s members asked Musk about the Cybertruck unveiling, particularly his thought process during and after the vehicle’s failed Armor Glass demonstration.
Musk took the question lightly, finding humor in the unexpected event. According to the Tesla CEO, the sledgehammer demonstration that was done before the Armor Glass demo likely cracked the base of the window, which caused the steel ball to crack the glass instead of bouncing off like it did when he and Chief Designer Franz von Holzhausen were practicing the backstage.
Musk noted that the first window breaking was very startling, and it threw him off his rhythm. Poking fun at himself, Musk added that after the first window broke, he immediately thought that Franz should attempt another demonstration on another second window. Unfortunately, the second demonstration should have been done in the windows on the other side of the vehicle, not the one directly adjacent to the window that broke.
“That was quite startling. And then the irony was that I was like ‘Oh, the first window doesn’t work, don’t worry, the second one will, that will definitely work.’ The thing was, it was (supposed to be the window) on the other side of the vehicle, not the second window along, but on the other side,” Musk said.
That being said, the failed Armor Glass demonstration is one of the things that made the Cybertruck unveiling extremely memorable. Musk emphasized this point, stating that while the whole experience pretty much stunned him while he was presenting on stage, the incident ended up getting a lot of attention for the all-electric pickup. And in teh grand scheme of things, that is not so bad at all.
“I think, you know, it got a lot of attention so I guess it wasn’t that bad. And we can always repeat it again. But it was quite shocking. It sort of stopped me on my tracks there. I was like ‘Whoa, now what?’ But, I think the thing that maybe what saved the day was driving the electric ATV up the truck bed… I think it ended on a good note. But yeah, I was kinda stunned, and I kinda forgot what I was supposed to do. That’s what actually happened there,” he explained.
Unexpected demonstration results aside, Elon Musk stated that the Cybertruck would definitely be a vehicle worth waiting for. This is something that he has hinted at in the past, noting that the Cybertruck is arguably a project that excites him the most. Just recently, on Twitter, for example, Musk stated that he could not wait to build the all-electric pickup. Tesla is even looking to establish a specific Gigafactory for the Cybertruck, which will be built in the heart of the United States.
“But (the Cybertruck is) gonna be a great car though. I think it may be our most fun car, the Cybertruck,” Musk remarked.
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
