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First look at Tesla Model 3 Standard Range Plus’ faster charging speed in action
A Tesla Model 3 Standard Range Plus owner recently demonstrated the improvements in his vehicle’s Supercharging speed following the release of the 2019.40.2.1 update. The over-the-air speed boost allows even lower-tier variants of the Model 3 to recharge their batteries at a rate that exceeds that of competitors.
In a post on Twitter, Tesla Model 3 owner @TeslaOwnersLV showed how his all-electric sedan was able to hit charging speeds of up to 601 mph. Prior to receiving the 2019.40.2.1 update, the Tesla enthusiast stated that his Model 3’s charging rate usually leveled off at around 100-106 kW.
Particularly interesting in the Model 3 owner’s video was the fact that the vehicle was not connected to Tesla’s fastest charger. It was taken at a V2 station, which has a maximum output of 150 kW. With a 250 kW V3 Supercharger, the Model 3 Standard Range Plus could charge at an even faster rate.
@Tesla @elonmusk
Taking advantage of the increase in charging rate (SR+) since update 2019.40.2.1
Thanks @elonmusk pic.twitter.com/eCKSqiBuan— Oh My Portugal! (@OhMyPortugal) December 16, 2019
Tesla has been rolling out improvements to the Supercharging speed of its more affordable vehicles as of late. In early November, Tesla released its version 2019.36.1 update, and one of its key upgrades was an increase in Supercharging peak power by 50-70%. Prior to the update, the Standard Range Plus Model 3 had a maximum 100 kW to 120 kW charge rate, which was ample but not on par with the charging speed of Tesla’s higher-tier vehicles.
The release notes for the Standard Range Plus’ charging speed boost were short and direct. “Your Model 3 is now able to charge with increased peak rate power up to 170 kW,” Tesla wrote. Yet, despite this simple description, the upgrade provided a great improvement to the user experience of the vehicle. Charging stops became shorter and faster, a big advantage for extended trips.
Confirmed! 2019.36.1 increases the peak supercharging power for Model 3 SR+ to 170kW. Source https://t.co/MTX9QHYj6P pic.twitter.com/fadz41eBlE
— Tesletter (@tesletter) November 3, 2019
But it’s not just the Standard Range Plus Model 3 that received a boost in Supercharging speeds. In late November, Tesla also introduced an increase in Supercharging peak power for the rare Mid-Range Model 3, raising its maximum charging speed to 200 kW with the Supercharger V3 Network. This was on top of the vehicle’s 5% performance boost, which reduced the Mid-Range Model 3’s 0-60 mph time to 4.9 seconds.
Tesla’s lead in battery tech and charging systems can be seen in how the company improves its vehicles’ specs over time. With its 170 kW peak charging rate, a sub-$40,000 Model 3 Standard Range Plus can replenish around 118 miles of its range in 10 minutes, provided that it is connected to one of Tesla’s 250 kW Supercharger V3 stations. In contrast, the $150,000 Porsche Taycan Turbo, with its 250 kW peak charging rate (at least for now), is able to recharge around 85 miles of its range in 10 minutes.
Along with faster Supercharging rates, the 2019.40.2.1 release notes talk about improvements in the Adjacent Lane Speeds feature, Automatic Wiper Fixes, and Autosteer Stop Sign Warnings.
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
