Tesla moves so fast that sometimes, it is difficult to keep track of what the company is doing and accomplishing. This was certainly the case in September, which was a month full of milestones in several of the company’s key programs. It was then quite unsurprising that the electric vehicle maker opted to celebrate its stellar month with an article on X.
As noted by Tesla, the company started September on a strong note, with the Tesla Model S, Model X, Model 3, and Model Y receiving Actually Smart Summon (ASS). The feature allowed FSD-enabled vehicles to navigate parking lots proficiently without a driver. ASS’ release set the stage for several FSD-related landmarks that were rolled out over the month.
https://t.co/6NdFCYAbsp— Tesla (@Tesla) September 30, 2024
Several countries saw notable EV accomplishments during September. In Denmark alone, one in ten cars is now electric, and in Norway, EV sales set a new record by taking up a dominating 94% market share in August. The Model Y led Norway’s sales with 18.8% of the market during the month. The Model Y also became Norway’s best-selling EV with over 60,000 of the all-electric crossovers on the country’s roads.
Tesla’s 4680 program also achieved its 100 millionth cell across all the company’s factories. And over in Germany, the Tesla Semi made a huge impact to the attendees of the IAA Transportation event. PepsiCo, Tesla’s first Semi customer, shared positive reviews of the Class 8 all-electric truck during the IAA Transportation expo.
Semi at IAA + ?? details from @danWpriestley ? pic.twitter.com/pBjMe6grOj— Tesla Europe & Middle East (@teslaeurope) September 17, 2024
New features and sites were also explored by the company, from the release of a Hands-Free Frunk feature for the Cybertruck and new Model S and Model X, to the launch of a store in Lithuania. The Tesla AI team also published an ambitious release roadmap that includes goals such as eye-tracking with sunglasses, end-to-end highway driving, and FSD for the Cybertruck. These goals seemed extremely ambitious, but the Tesla AI team nailed them.
Over the month, the Cybertruck received Autopark, its first FSD-related feature. And at the end of September, the all-electric pickup truck received FSD (Supervised) with end-to-end highway driving and eye-tracking with sunglasses. Initial observations from Cybertruck owners suggest that the all-electric pickup truck’s FSD feature is quite impressive, though the system still needs refinement in some areas as expected.
Cybertruck – now with FSD ? pic.twitter.com/SCR1JLJvtx— Dirty Tesla (@DirtyTesLa) September 30, 2024
Overall, September proved very productive for Tesla, and expectations are high that the next few months will be even busier. In the fourth quarter, after all, the Tesla AI team is looking to release Unpark, Park and Reverse in FSD (Supervised), as well as FSD v13 with ~6x improved miles between necessary interventions. That’s an ambitious goal, though it is one that could very well be feasible considering how hard the Tesla team works.
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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
