News
How Tesla’s Elon Musk dunks on the competition just as their momentum builds
It’s an emotion-filled, intense game. When you’re down the court. In the zone. Elon Musk goes up for the slam and WHAM!
Just when you least expected it.
Oh, that’s gotta hurt.
The script plays out time and time again. Tesla and SpaceX CEO Musk bursts into action. Like a runaway freight train. But with intent. Strategy. Musk charges in with a timely announcement to derail the momentum of his competition, just as they’re about to gain traction. Cheers for the competition become silence.
We were reminded of Musk’s mastery of the game this past week when a timely leaked email would inform the world that Tesla was preparing for volume production of its highly-anticipated Semi truck. Shares of Tesla shot up past $1,000 to raise the bar on its all-time high, while any trace of attention on a competing rival – Nikola – would be lost.
Electric-hydrogen commercial truck maker Nikola had just come off of a momentous week after going public in its Initial Public Offering.
While Musk’s announcement was surely a positive one for Tesla, there may have been some intent behind it. Just as Nikola’s stock began to climb, Musk derailed their momentum by announcing Tesla’s plan to prioritize the Semi truck production. It’s a classic page out of Musk’s successful playbook to leverage a competitor’s momentum, as media centers the conversation around a particular industry, before ripping the ball away from the competition and go in for the slam dunk. It has happened throughout his storied career. And it will continue to do so.
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Porsche Taycan. We drove it. We appreciated it and we were on the bandwagon that the Porsche Taycan and its “repeatable performance” was destined for the famed Nürburgring. It was one of the first stories I covered as a writer for Teslarati and I can remember it pretty vividly. The Taycan hit the Green Hell in Germany in August and reportedly set a track record for a four-door production vehicle. However, that story wouldn’t last long.
Not more than a couple of weeks later, on September 5, Musk announced the Model S would be arriving at the Nürburgring to test its performance at the notoriously difficult racetrack. But it surely didn’t stop there. Musk then stated that Tesla had been developing an entirely new version of the Model S behind the scenes and that the wide-body design was a brand new tri-motor setup of the company’s flagship sedan. It was called “the Plaid Powertrain,” and it ripped through the Ring in record time.
Just as Porsche was starting to gain some momentum as an EV competitor to Tesla, Musk ripped their title right out from under them. Within a few weeks, everyone was done talking about the Taycan and wanted to know more about the Plaid Model S. As of right now, it is still a car that has is relatively face-value details available, but we all know it is going to be fast.
Next, Rivian’s momentum was surely derailed by Musk when the company decided to unveil the Cybertruck. Rivian’s R1T was going to be “the next big thing” in the consumer pickup truck segment. Personally, I was pretty impressed with how many people knew about Rivian, because many friends who have little interest in the automotive sector as a whole knew who Rivian was. In California, this wouldn’t be as impressive. But I live in Pennsylvania, and it was pretty cool to hear people talk about Rivian in such a mainstream manner.
In November, Rivian had been holding more reservation events, developing its production facilities, filing patents, and really establishing itself as a real leader in the EV pickup market. Then came along the Cybertruck.
The Cybertruck’s design and its dystopian-like unveiling event were enough to derail Rivian’s momentum. Nobody was talking about Rivian, and even to this day nearly eight months later, the Cybertruck is still the hot topic. While Rivian remains a relevant character in the electric pickup truck community, the casual electric car fan is sharing articles about the Cybertruck, and not the R1T.
I’ll be honest, the space race rivalry between Musk and Bezos isn’t something I’ve followed as closely as the automotive stuff. But I remember when Bezos was on CNN in 2015 talking about his Blue Origin rockets being the first fully reusable rockets in the world. But SpaceX had successfully landed a reusable rocket in 2012. Not to mention, Musk’s words were often times reused by Bezos, who would pawn them off as his own idea. A video of that is available here.
https://youtu.be/Qe_TTI64fJA
Anyway, the proof is in the pudding. Musk has used other companies to time his announcements for groundbreaking products. He did it with the Plaid Model S, he did it with the Cybertruck, and he did it with the Semi. Momentum building is especially difficult in automotive manufacturing simply because most companies all share the same features and commonalities. It takes something truly special for people to get excited.
Elon has developed an interesting way to spread the word about his new products, and he’s basically used other companies to do it. Some might call it timely, some might call it rude. I call it smart.
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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.”
News
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
