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Tesla’s Model 3 and the death of plug-in hybrids: ‘Full electric is a much more elegant solution’
Tesla took a big bet when it decided to launch the Model 3. Being a vehicle designed for the mass market, the sheer scale of the sedan’s production was something that Tesla has not dealt with before. It took more time than expected and a trip through “production hell,” but the Model 3 has now been ramped, with Elon Musk noting that producing 5,000 of the vehicles per week is currently no big deal for Tesla.
The market’s reception to the Model 3 has been encouraging. The vehicle has been performing well in the United States, ranking among America’s best-selling passenger cars. In September alone, the Model 3 became the 4th best-selling car in the US based on sales volume. Based on revenue, the Model 3 was even more impressive, ranking first among passenger cars sold in the country. Tesla does not seem to be planning on pulling back from its Model 3 push either, as the electric carmaker has started rolling out exhibits of the vehicle to Europe and Asia this month.
Amidst the evident success of the Model 3 and Elon Musk’s high-stakes bet on the electric sedan, another class of vehicles has begun to show notable signs of a decline — the plug-in hybrids. Plug-in hybrid electric vehicles (PHEV) are equipped with both an electric motor and an internal combustion engine. Popular cars in this class include the Chevy Volt, with its all-electric range of up to 53 miles, and a total range of 420 miles with a full battery and a full tank of gas.
PHEVs have mostly served as the “gateway” vehicles for customers looking to make the jump to electric transportation. Being equipped with a gasoline engine, owners need not worry about any of the initial drawbacks of pure EVs, such as limited range. Plug-in Hybrid and Electric Vehicle Research Center director Gil Tal noted to Bloomberg that in a way, PHEVs are like the “training wheels” of the electric car movement. That said, Tal noted that as practical, capable EVs like the Model 3 emerge, consumers might simply skip PHEVs and adopt all-electric cars instead.
“A full electric (car) is a much more elegant solution. It’s very simple to build and very low maintenance. It’s just a much more simple story. Plug-in hybrids are just the training wheels in the industry’s preparation for electric cars,” Tal said.
The death of plug-in hybrid electric vehicles became more real recently, with GM announcing that it was closing several of its plants across the United States and Canada. Among these plants was GM’s oldest factory at Detroit-Hamtramck, which produces the Volt. In a later statement, GM confirmed that it would be discontinuing the production of the Volt, with the company focusing on developing all-electric cars like the Bolt EV instead.
GM has announced that it is discontinuing the production of the Chevy Volt. [Credit: Chevrolet]
In a way, the apparent death of the PHEV seemed to have been predicted by Elon Musk eight years ago. In a statement to the media during the opening ceremony of the Fremont factory, Musk likened PHEVs to amphibians during the process of evolution. And just like amphibians, Musk noted that the number of PHEVs would likely decrease as the market moves into the full-electric era.
“(PHEVs are) similar to an amphibian. In the transition from the oceans to land, initially, there were a lot of amphibians. Now there’s not that many amphibians. So the only reason you’d ever need that gasoline engine is if the battery pack does not have enough range, if the recharge times are really slow, and all those things will get solved. So there’s a medium-term role for a plug-in hybrid, but in our view, not a long-term role. I think there’s a role for plug-in hybrids today and there’s a role for electrics, but I think long-term, it all goes electric.”
The seemingly impending death of the plug-in hybrid is not just the result of electric cars like Tesla’s Model S, 3, and X. Earlier this year, a Forbes report earlier this year noted that the efforts (or lack thereof) of manufacturers such as GM are partly to blame for the decline of PHEVs. Inasmuch as the Volt was warmly received by owners and well-reviewed by critics, for example, the vehicle remained a rare sight among GM’s dealerships across the United States. GM’s TV advertising campaigns have not featured the Volt, or its all-electric sibling, the Bolt EV, either.
That said, GM appears to be taking its EV initiative seriously this time around. Earlier this month, for one, VP of global strategy Mike Ableson boldly declared during a press conference that GM is looking to “lead the industry in EVs sometime in the next decade or so.” The next years will determine if these words will be true.
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
