When Tesla released the Mid-Range Model 3, it was positioned as an entry-level vehicle that is designed to provide a practical, reasonably-priced way for customers to get into the company’s ecosystem. The Mid-Range Model 3 was thus conservatively specced, with performance figures that were closer to that of the Standard Range Model 3 than the more expensive Long Range AWD variant.
The Mid-Range Tesla Model 3 was launched with a 0-60 mph time of 5.6 seconds, a top speed of 125 mph, and a range of 260 miles. Since Tesla was not able to manufacture its Standard Range battery packs yet then, the electric car maker equipped the Mid-Range Model 3 with a Long Range battery pack with fewer cells, giving the vehicle its 260-mile range. The Mid-Range Model 3 was ultimately retired upon the arrival of the Standard Range and Standard Range Plus Model 3, which took its place as Tesla’s entry-level vehicle.
Being part of the Model 3 family, the Mid-Range Model 3 has received improvements that the company has rolled out to the vehicle. In January, for one, Tesla updated the vehicle’s range to 264 miles per charge. Last March, the vehicle’s performance received improvements as well. And with Tesla’s most recent 5% over-the-air performance boost, the Mid-Range Model 3 got better once more.
Tesla owner-enthusiast nukem384, who owns a Mid-Range Model 3, recently tested his vehicle’s acceleration after receiving the electric car maker’s most recent performance update. In the Tesla owner’s tests, the Mid-Range Model 3 was able to sprint from 0-60 mph in 4.9 seconds consistently. These figures are incredibly impressive, considering that breaking the 5-second barrier places the Mid-Range Model 3 into high-performance car territory.
Such acceleration numbers, in fact, actually make the Mid-Range Model 3 quicker from 0-60 mph than the legendary and iconic Ferrari Testarossa, which was one of the Italian supercar-maker’s most recognizable vehicles to date. The Testarossa is arguably one of Ferrari’s best creations, and the exhaust note from its naturally-aspirated V12 engines is nothing short of legendary. The vehicle also received cult status for being the hero car in the popular show Miami Vice.
Performance-wise, the Testarossa is nothing to scoff about. The supercar is worthy of its Ferrari badge, with its 0-60 mph time of 5.2 seconds and its top speed of 180 mph. Mid-engined, raw, and unapologetically manual, the Testarossa is probably one of the most recognizable Ferraris ever made. A proper supercar, and one that is now capable of being outrun by a young automaker’s “3rd-slowest” family sedan after a free over-the-air software update.
In the age of electric cars and internet-connected vehicles, over-the-air performance updates are a true difference-maker. Tesla is arguably the only automaker that does this today, but hopefully, as more carmakers follow the trend of tech-centric high-performance cars, OTA performance updates will soon be the norm. Until then, Tesla’s electric cars will likely keep improving as evidenced by a Tesla Model 3 Performance, a car without a dedicated Launch Mode, recently breaking the 3-second barrier in a 0-60 mph test.
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
