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Electric vehicles will be allowed to drive at higher speed limits than gas cars, says Austrian government
A new initiative from the Austrian government is set to reward electric car owners with a unique incentive. On October 25, the Austrian ministerial cabinet announced that it would be adjusting the speed restrictions for electric vehicles traveling in the country’s IG-L-Hundred zone, which covers a total area of 440 kilometers (273 miles). With the updated rules in place, owners of Teslas and other electric vehicles will be allowed to travel up to 130 km/h (80 mph) on the highway, 30 km/h (20 mph) faster than their fossil fuel-powered counterparts.
Austrian Minister of Sustainability Elisabeth Köstinger noted that the speed limit exception for electric vehicles is part of the country’s initiative to encourage the adoption of sustainable transportation. Together with the adjusted speed limits, the Austrian government is also pushing to open bus lanes for zero-emissions cars, and promote free parking programs for electrified vehicles.
“The exception for electric vehicles in the IG-L-Hundred is an advantage that we want to give owners of e-vehicles to internal combustion engines,” Köstinger said.
While the specifics of the speed limit incentive are yet to be fully announced, the Austrian government’s wording on the program suggests that the exception would be tailor-fit for battery-powered vehicles like Tesla’s electric cars. Köstinger, for one, noted that the top speed advantage would be given to EV drivers over drivers in vehicles with internal combustion engines. With this statement in mind, it appears that hybrid vehicles such as the BMW i8, which are equipped with a internal combustion engines and electric motors, would not be awarded the same top speed incentive.
The country’s EV community would likely appreciate a speed limit incentive for electric cars, and if it proves effective in Austria, there is a good chance that the program would be adopted in other regions as well. Electric cars, after all, emit no emissions regardless of their speed, and with the advent of high-performance vehicles like the Tesla Model S, Model X, and Model 3, EVs are now more than capable of maintaining high speeds for long periods of time. With batteries getting cheaper and better, electric cars will soon be able to travel even farther than before as well. With this in mind, even simple perks like a higher speed limit would likely encourage even more drivers to join the growing electric car movement.
When Tesla started rolling out the original Roadster more than ten years ago, the small, two-door sports car broke the stereotype of electric vehicles being nothing more than glorified golf carts. Prior to the original Tesla Roadster, electric vehicles were seen mostly as novelty cars, with fancy technology but little performance to show for. A mainstream attempt at a battery-powered vehicle, GM’s EV1, was promising, but it was unceremoniously canceled and eventually forgotten amidst the advent of the large SUV.
Since the days of the original Tesla Roadster, the improvements in electric car technology have been palpable. With the Model S, X, and 3, Tesla was able to prove that battery-powered vehicles are not only a viable alternative to fossil fuel-powered cars — in some points, they are even better. With countries such as Austria and other nations like France and Britain adopting a strong zero-emissions stance, more and more well-rounded electric cars are coming to market. Tesla currently rules the premium EV segment, though its Model 3 is steadily approaching its highly-anticipated $35,000 mark. In the lower end of the market, entries in the electric car segments are getting more impressive as well, in the form of vehicles like the Hyundai Kona Electric, Kia Niro EV, and the current-gen Nissan Leaf.
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
