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Tesla’s Elon Musk explains why too much electric vehicle range does not make sense
Elon Musk commented last night that Tesla could have had a Model S that was capable of 600 miles of range on a single charge. However, Tesla decided not to pursue the what would be an industry-leading metric, because it would impact handling, efficiency, and overall performance negatively.
“We could’ve made a 600 mile Model S 12 months ago, but that would’ve made the product worse imo, as 99.9% of time you’d be carrying unneeded battery mass, which makes acceleration, handling & efficiency worse,” Musk said in a reply to Whole Mars Blog, who stated Lucid may have been the first to deliver a 500-mile EV, but Tesla would be the first to produce it. “Even our 400+ mile range car is more than almost anyone will use,” the Tesla CEO added.
We could’ve made a 600 mile Model S 12 months ago, but that would’ve made the product worse imo, as 99.9% of time you’d be carrying unneeded battery mass, which makes acceleration, handling & efficiency worse. Even our 400+ mile range car is more than almost anyone will use.
— Elon Musk (@elonmusk) March 2, 2022
The battle of alleviating range anxiety amongst new electric vehicle owners is something that will eventually subside altogether. However, there are entirely too many people who still bring up concerns of where they will be able to charge their cars, arguing that gas stations are on every corner but EV chargers are not. While this is true, EV chargers are more available than many may think. In even rural South Central Pennsylvania (where I live), there are about seventeen EV chargers, including an eight-stall Tesla Supercharger. All are within ten miles of my house.
Even still, the concerns of how much range is enough still circulate through the community of prospective EV buyers. Everything will require sacrifice. And while most passenger gas cars can travel around 400 miles on a full tank of gas, ABC News says the average American only travels sixteen miles per day for work. U.S. Census data suggests Americans spend around 27.6 minutes driving to work one way. Hundreds of miles of range are not completely necessary.
As Musk also said, more range usually means more batteries, which adds to mass and takes away from the fun driving experience that EVs have been commended for. The Tesla Model S has 375 miles of range, and at one time had over 400 miles of range. The Model S Long Range Plus had 402 miles of range, and one of the primary reasons was “significant mass reduction.”
“Mass is the enemy of both efficiency and performance, and minimizing the weight of every component is an ongoing goal for our design and engineering teams,” Tesla said in a blog post announcing the 400-mile Model S in June 2020. “Several lessons from the engineering design and manufacturing of Model 3 and Model Y have now been carried over to Model S and Model X. This has unlocked new areas of mass reduction while maintaining the premium feel and performance of both vehicles. Additional weight savings have also been achieved through the standardization of Tesla’s in-house seat manufacturing and lighter weight materials used in our battery pack and drive units.”
Structural Battery Pack
Tesla’s Structural Battery Pack compartmentalizes the idea that mass distribution can be used in an advantageous way. During Battery Day in September 2020, Musk outlined the ideas for the Tesla Structural Pack, and how it was designed.
“The non-cell portion of the battery has negative mass,” Musk said. “We saved more mass in the rest of the vehicle than in the non-cell portion of the battery. So how do you really minimize the mass of the battery? Make it negative.”
The density of the pack not only increases structural rigidity and safety, but it also improves mass and range by strategically placing cells in areas where they would compliment the vehicle.
Credit: Tesla
What about Tesla’s planned more than 400-mile range vehicles
Interestingly, Tesla has several vehicles on the way that feature range estimations of over 400 miles. The Cybertruck’s Tri-Motor powertrain, which may take a backseat to the rumored Quad-Motor variant, had a 500+ mile range rating when Tesla still had the configurator for the vehicle available. With the new 4680 battery, Tesla’s vehicles will likely be able to reach the 400-mile threshold without sacrificing too much of the performance or efficiency that Musk spoke of.
The next-gen Roadster, which has sat on Tesla’s backburner for several years, also has an incredible range estimation of 600+ miles. The Roadster may be a special exception to the range rule, but with the astronomical expectations for the vehicle, including the ability to hover, excessive battery weight may take away from the Roadster’s 1.1-second acceleration from 0-60 and its handling due to its small, sporty frame.
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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
