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How Tesla Challenges Other Car Makers
Tesla challenges other car makers to build better cars says Diarmuid O’Connell, Telsa’s vice president of business development at an industry conference.
Tesla Motor service center. (Source: Tesla Motors)
Diarmuid O’Connell, Tesla’s VP of business development, had harsh words for competitors last week at the CAR management briefing seminars in Michigan. He told the group that Tesla challenges other car makers to build better cars.
“You can split the market of EVs into two programs,” he said. “Many are compliance programs. Exceptions are Nissan, ourselves and BMW. Most are focused on minimum compliance, lowest common denominator behavior, and the vehicles reflect that. In some respect, they are appliances, in terms of the way they look.”
CARB And The EPA
His remarks come at a time when two important regulatory programs are up for review. The California Air Resources Board is taking a look at its zero emissions vehicle policies and the Environmental Protection Agency is considering changes to its CAFE standards.
Traditional car makers are trying to get both agencies to relax those standards, but O’Connell says they should stop trying to “slow walk” the rate of progress toward a emissions free future and get busy building better cars. He says his company wants California and the EPA to raise their standards, not relax them.
“From an empirical standpoint, the [regulations] are very weak, eminently achievable and the only thing missing is the will to put compelling products on the road,” he said, according to The Wall Street Journal.
This week, Mary Nichols, CARB chairwoman since 2007, announced that she isn’t satisfied with having just a few electric cars on California roads. The current standard calls for 2.7% of all cars sold in California to be electric. Nichols wants to set the bar higher. In fact, she would like it if all the cars sold in California were electric by 2030.
For its part, the automotive industry is busy telling the EPA that the current CAFE standards are too high. Any further tightening would be bad for business. “We need consumers to buy them in high volumes to meet the steep climb in fuel economy standards ahead,” the Alliance of Automobile Manufacturers, an industry lobbying group, told the conference. The implication is that higher standards will kill the automotive business, cause massive layoffs, and have a negative impact on the economy.
This is precisely the same argument the automobile industry made about safety related changes in the ’50’s, seat belts in the 60’s, exhaust emission in the 70’s, airbags in the 90’s and better crash test performance at the beginning of the 21st century. Its complaints today are just more of the same.
CAFE Olay
The furor over EPA standards is actually a tempest in a teapot. On the surface of it, the 54.5 mpg requirement by 2025 seems like a huge increase above present day performance. But in reality, that standard is based on the old EPA mileage testing protocol, which was amended several years ago because it resulted in numbers that were wildly optimistic.
When the EPA adopted a new standard designed to better reflect real world expectations, it did not apply the new standard to the computation of the 2025 goal. If it did, that 54.5 mpg number would convert to around 37 mpg — which many of today’s cars are already capable of achieving.
To suggest that car companies cannot achieve a CAFE of 37 mpg using the current EPA protocol is patently absurd. In fact, a representative of Johnson Controls, one of the largest suppliers of components to the automobile manufacturing , said last year that car makers can easily meet the new standard and, in fact, many are already doing so today with internal combustion cars.
Charging Technology
One area where other manufacturers need to step up involves recharging technology for EVs and plug-in cars. At present, the best any of those other cars can handle is 50 kW. Tesla already has Superchargers with more than double that capacity. It’s new liquid cooled charging cables indicate the company has even higher power chargers in mind for the future.
O’Connell told the conference that drivers of competitors’ cars would be welcome to use the Supercharger network if only their cars were capable of handling the higher current. Tesla made its Supercharger patents public last year, but no other manufacturer has expressed any interest in them. Instead, the industry seems content to live with 50 kW “fast chargers” that really aren’t all that fast.
The Week In Review
Tesla has had a rough week. The stock market was disappointed with what Elon Musk had to say during the 2nd quarter conference call and punished the company’s stock, which closed down nearly 9% for the week.
The real question on people’s minds is whether Tesla will bring electric cars to the masses the way the Model T put the world on wheels almost a century ago, or whether it is a company that caters only to the wealthy and will flame out the way the Concorde SST did? If you are reading this, chances are we know how you would answer that question.
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
