News
Tesla’s ability to deliver the Model Y in various trims at launch is a big deal
The initial deliveries of the Tesla Model Y are about to begin, and as more reservation holders are advised to prepare for delivery, it is becoming more evident that the electric car maker has turned a new page when it comes to its production efficiencies. If Tesla’s first wave of emails to reservation holders are any indication, it appears that the Model Y ramp will be nothing like the Model 3’s rollout.
When the Model 3 started deliveries, Tesla only offered the vehicle in one variant and one interior option: Long Range RWD with black interior. This was done to make it easier for the company to produce the sedan, especially since it was a time when Tesla was still learning how to find its stride in the production of the electric car. It was a pretty good strategy, as it allowed Tesla to find its rhythm first with Long Range RWD production before it attempted to build other, more complex variants like the Model 3 Performance with white interior, which required two motors and a different interior trim.
Reservation holders who wanted a Performance Model 3, or a Dual Motor AWD, or those who opted for Tesla’s white interior, experienced an extended wait that lasted months. Tesla started delivering the Model 3 in the second half of 2017, and customers who wanted a Performance version ended up waiting until the middle of 2018 to receive their electric car. Canadian reservation holders were in for a long wait as well.
This gradual ramp does not seem to be happening with the Model Y. If Tesla’s emails to its reservation holders are any indication, it appears that the company is preparing to deliver not just the dual-motor AWD versions of the vehicle; Performance versions will be released this coming March as well. Apart from this, reservation holders who ordered both black and white interiors have been invited to set a delivery date. But this is not all. Reservation holders in Canada have also received notifications from Tesla, informing them of upcoming Model Y deliveries.
This is something that has never really happened before, at least not at this scale. The reason behind this has not been announced by the electric car maker, though a lot of it may have to do with the Model Y sharing 75% of its parts with the Model 3, Tesla’s highest-volume vehicle available today. Tesla has already optimized its Model 3 production capabilities, after all, to the point where the company can manufacture enough vehicles to address some of the electric car’s demand in other countries. As such, developing the Model Y line may not have been as much of a challenge for the electric car maker.
Tesla has already made a lot of headway in its vehicle production efficiencies over the years. It took a while for the company to refine its Model 3 production, and it is taking all these learnings in the Model Y’s ramp. This is represented by the Model Y’s design and large casts, which are seemingly intended to ensure that the all-electric crossover could be produced in a quick and efficient manner. These will ultimately allow the company to avoid the issues that befell the Model 3’s first iterations, which were faulted by teardown expert Sandy Munro for being far too complex and heavy than it needed to be.
Simply put, the Tesla that’s about to deliver the all-electric crossover today is a far different, far more mature company as the one that tried to mass-produce the Model 3 back in 2017. This ultimately bodes well for the Model Y, considering that CEO Elon Musk expects the vehicle to outsell the Model S, Model X, and Model 3 combined. This may also send some chills down the spine of rival automakers, as Tesla’s biggest disruptor yet may end up entering key markets at a speed and scale that’s never really been seen before.
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
