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Elon Musk wants the Government to be a referee, not a player in the game of industry and innovation
Elon Musk is one of the most innovative minds to ever exist in the tech community. With his multiple companies providing successful changes in how some industries, like automotive, are looked at, Musk is a proven CEO with a track record to back it up. His many ideas basically changed the idea of what it is like to drive a car, which many of us thought would be dominated by gas and diesel-powered engines for years to come. An innovative mind and a lot of hard work undoubtedly contributed to Tesla’s success, and Musk has no interest in giving credit to anyone who didn’t earn it.
With the election coming to a close and a new Presidential campaign being selected to run the United States for the next four years, Musk was recently asked during an interview with the Wall Street Journal whether President-Elect Joe Biden’s plans to spend big on industry and innovation were a good thing. Musk doesn’t seem to have a problem with the idea, but he is vocal about the fact that the government should do more regulating than contributing. The role of Government, after all, is to enact laws and make sure they are abided by citizens. Additionally, assisting with companies’ innovation is something the Government shouldn’t stick its nose up at. Still, Musk just hopes that it plays more of an administrative role instead of becoming a “player in the game.”
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“It’s the Government’s role to establish the rules of the game and then ensure that those rules are properly enforced,” Musk said. The CEO even compared the Government’s role to that of a referee in a game of football: Know the rules, enforce them correctly, make sure the game is fair.
What the Government doesn’t need to do is stay out of the way of the big companies who are working to innovate the processes of daily life to benefit them and their objectives. “I think when the Government does not do a great job is when they want to not just be a referee on the field, they want to be a player on the field. This does not end up in a good situation.”
The issue with the Government overreaching into the field of industry and innovation is that they will “pick technology winners and losers” instead of letting companies play out their innovation themselves. This could lead to small companies being undermined even if they have ideas or technology that larger companies don’t have access to.
This scenario, if Government was overly involved in tech and innovation, could have crippled Tesla’s efforts when the company was just starting to churn out vehicles in 2008. Even though Tesla had established itself as a player in electric vehicles, it was a small, relatively unknown company that faced massive problems due to lack of funds. Nearly shutting its doors after issues with the original Roadster, Tesla somehow overcame the adversity and received more investor money.
Now, imagine if the Government would have been a player instead of a referee in this scenario. It would have likely given a large financial assistance package to a well-developed, large scale automaker like Ford or GM to develop EVs. Instead, it stayed out of the innovation portion of the equation and let the players decide the game for themselves. Tesla ended up becoming the leader in EVs, while GM and Ford are failing to catch up. It’s fairly safe to say that without Tesla, EVs would not be what they are today. The legacy automakers that exist in the universe of automotive manufacturing would likely have cranked out one or two low-range models because their primary focus is still on gas-powered cars and not on electrification.
This whole picture perfectly aligns with how Tesla’s story has played out thus far. It is fairly obvious that the Government in 2008 would have sided with a company with proven infrastructure, and not some company who had a shot in the dark to change the entire framework of vehicle manufacturing. This is where Musk made his next point: Make the rules that incentivize the outcome, not the path.
The ultimate goal is to let companies figure out issues on their own. There is no reason to have Government programs essentially hold the hands of private industry. There needs to be more of a focus on the end goal and not the path a company takes to get there. Rarely is the road to success a straight and narrow path. Many companies, Tesla being a prime example, have to fight and struggle to create a new, innovative project. Tesla’s story is perfect evidence that the end goal takes a lot of persistence and it doesn’t need to be filled with hand-holding from large Government entities. While Biden’s plan to pump money into innovation and industry may help some companies get back on their feet in dire times of need, it shouldn’t hold the hands of these large companies whose job it is to figure out the answer to problems.
When large car companies begin to manufacture and deliver electric vehicles that are good for consumers, then they should be rewarded. Riding on the coattails of Government assistance packages that don’t necessarily guarantee innovation is the wrong way to go about things. When companies prove that they are in the business of creating a great product, then the rewards should come in. It’s that simple.
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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.”
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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
