News
Elon Musk is redefining the ‘ICE age,’ turning combustion engine cars into museum relics
Tesla might be bringing in a new definition for the term “Ice Age.” Instead of “a long period of reduction in the temperature of the Earth’s surface and atmosphere, resulting in the presence or expansion of continental and polar ice sheets and alpine glaciers,” Tesla’s Ice Age has to do with the disappearance of ICE, meaning Internal Combustion Engines. A relatively small percentage of the world’s vehicles are powered by battery cells, with the overwhelming majority of passenger modes of transportation being fueled by gasoline or diesel. However, Tesla is turning the tide by offering enhanced battery cell technology and making their cars more appealing than their gas counterparts.
Simply put, the development of Tesla’s battery-powered cars are bringing in a new era of transportation. Soon enough, gas cars will be the minority, and Teslas, along with other electric vehicles, will be the most popular cars on the road. How this will happen for the next twenty to thirty years comes down to the development of electric vehicles and the process of making them better than their adversary. Without a doubt, Tesla and Elon Musk are leading the charge.
Interestingly, Musk’s development of affordable electric transport is strikingly similar to Henry Ford’s development of the Model T. In 1908, Ford produced the first Model T, a step toward making cars a more mainstream and widely-affordable type of transportation for everyday people. While the rich and wealthy had been riding around in cars since the 1880s, Ford knew that the way cars were made had to be streamlined and that people would eventually need something affordable.
One hundred years after Ford produced the first Model T, Tesla was releasing the first Roadster. An expensive, but functional and revolutionary machine, the Roadster was really the first electric car that could be taken seriously. It had performance, range, and a car company that was only focusing on EVs had built it, so consumers knew it was the specialty of the company, not just some interesting side project.
The similarities between the two situations are resemblant to each other because both Musk and Ford knew that: 1) Transportation had to be revolutionized, and 2) Cars needed to be affordable.
Before the first cars were being built, people were primarily traveling by horse and buggy, by water, or by passenger trains. A combustion engine was the next best thing at the time because Ford knew how to make it affordable for the average person. It also gave people the freedom to travel where they wanted, and the time they desired instead of being packed into train cabins like a pack of sardines.
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Musk’s situation is that, while cars were already functional and nearly everybody had one, the industry needed to be revolutionized once again. Gas cars dominated the market because there was really no other option, but Musk saw a better way.
While the 2008 Roadster certainly wasn’t a perfect fit into everyone’s financial plan, it gave Tesla a headstart in the EV sector. Tesla was forced to work out the kinks that other car companies are experiencing now early on in its existence. The car’s hefty price tag definitely wasn’t for everyone. Still, it allowed Tesla to round up additional cash for its future projects, which included more affordable models and ramped production lines.
It is pretty rare that anyone sees a Model T on the road. Apart from if you’re in Los Angeles and you happen to see Jay Leno strolling around in his, or if you’re at Hershey Park riding on the Sunoco “Fast Lane” ride, you’re more than likely not going to see one puttering around. The fact that many people have never seen a Model T in real life is a sneak preview of what is to come in the automotive industry over the next 50 to 100 years: a disappearance of gas-powered cars. In their place, electric vehicles will roam the streets, free of noise and fossil fuel-driven pollution.
While the combustion engine was improved over time to increase efficiency and performance, the same thing needed to be done with batteries. Tesla’s Battery Day event on Tuesday brought to light how the electric automaker plans to deal with this roadblock. The company’s cars need to continue to improve. Efficiency needs to get better, longevity, performance, you name it. Tesla unveiled a new battery cell during the event that will effectively usher in the beginning of the new ICE Age.
Tesla debuts new 4680 battery cell: 500% more energy, 6X power, range increase
With the developments, gas-powered engines are beginning to appear pointless. When the cost of battery cell manufacturing goes down, people will be forced to reconsider what they’re driving now, especially if it is a gas-powered vehicle. While EVs are already appealing because of their low maintenance requirements, they will also be the same price as gas cars within the next 3-5 years, which is really the biggest factor in why consumers buy cars, to begin with.
Just like a tube television, in a few decades, the young children will point at cars with tailpipes and say, “Mommy, what’s that Tesla with a pipe coming out of the back of it?” The Mother will answer, “Oh honey, that’s a gas car. They’ve been extinct for nearly 20 years.” This conversation will happen while both begin to breathe significantly cleaner air, and the average global temperature will be reduced. Not to mention, the quick back and forth will also occur at an Automotive History Museum, because gas cars will be so rare, that will be the only place most will see them.
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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
