News
Tesla’s $25k car gets update on its final name, options, and potential release date
During a recent all-hands meeting, Tesla CEO Elon Musk provided some updates on one of the company’s most ambitious vehicles yet: the ~$25,000 compact car. As per information shared by individuals familiar with the items discussed in the meeting, Musk clarified that the upcoming vehicle would not be named the “Model 2,” but it could be a car designed for Full Self-Driving with no steering wheel or physical pedals.
EV blog Electrek, citing individuals who were also at the recently-held all-hands meeting, further claimed that the $25,000 compact car has a tentative release date of 2023. This is notably conservative as previous reports from China hint that work on an affordable Tesla is already underway. Earlier this year, local reports from Chinese media outlets hinted that a vehicle that’s more affordable than the Model 3 would likely start testing at the latter half of the year.
• Tesla won't call the $25k model the "Model2". "Only did Model 3 cause Ford had model E trademark so we just did model 3 to troll them"— Sawyer Merritt (@SawyerMerritt) September 3, 2021
More recent reports from the world’s largest EV market hinted that a prototype of the affordable Tesla had also been completed, and most suppliers for the upcoming vehicle had already been lined up. Considering Musk’s recent comments at the hands-on meeting, it almost seems like Tesla is building two affordable all-electric cars: a more traditional compact EV that would be released in China and another low-cost car that’s primarily designed for Full Self-Driving in the United States. Both vehicles have the potential to be disruptive in their own way.
An affordable Tesla in China — particularly one that is reportedly based on the Model 3 platform — would likely be a substantial hit among budget-conscious buyers who are looking to get the most out of their vehicle purchase. Tesla tends to equip its cars with a robust set of standard features, and its vehicles typically offer performance that’s far above their price point. These, together with the convenience offered by the Supercharger Network, would likely allow Tesla’s affordable car in China to be competitive in the country’s local market.
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- A Chevy Bolt with no steering wheel or physical pedals. (Credit: Cruise Automation)
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- A Tesla Model 3 with no steering wheel. (Credit: Tesla)
A low-cost pure FSD car for the United States would also have some potential. Assuming that Tesla could indeed develop a fully autonomous solution for its vehicles, a fleet of affordable Robotaxis would definitely make sense. Such an idea is not that wild either, considering that GM’s Cruise debuted the exact same concept back in 2018. During that time, Cruise showed off a concept of a Chevy Bolt EV that has no steering wheel or physical pedals. Cruise was targeting a 2019 rollout for the vehicle then, though such a target was not met. Tesla also unveiled a similar concept for the Model 3 back in 2019 when it held its Autonomy Day event.
Tesla’s affordable car is the next big project for Elon Musk and his team. Producing a mass-market car like the Model 3 profitably is no joke, after all, but rolling out an affordable car that could still turn a profit would be an even more challenging undertaking. If Tesla could pull it off, however, the company could effectively cement its place as this generation’s premier vehicle maker, and a company that holds the key to true autonomous driving.
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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
