Lucid Motors has joined several automakers in adopting Tesla’s North American Charging Standard (NACS), just months after its CEO said it wouldn’t switch unless higher-voltage charging architecture was unveiled. Following Lucid’s announcement of plans to adopt the standard this week, Tesla CEO Elon Musk pointed out that the switch was probably a little difficult for Lucid’s CEO to accept after some of his past statements.
On Tuesday, Lucid announced it would be adopting Tesla’s NACS, giving its drivers access to the Supercharger network as soon as 2025. Like other automakers, the company will build Tesla’s charging port into its electric vehicles (EVs) starting in 2025, and it plans to offer adapters to those with the current Combined Charging System (CCS) hardware in the same year — both of which will enable its cars to charge at Tesla’s Superchargers.
Following the announcement, Musk commented on X that the adoption of Tesla’s standard “must have been a bitter pill to swallow,” especially after the automaker’s CEO recently suggested that the charging port didn’t matter.
That must have been a bitter pill to swallow 😂
— Elon Musk (@elonmusk) November 6, 2023
The news comes after Lucid CEO Peter Rawlinson dodged questions about switching to the standard in June, adding that the plug mattered less than high-voltage charging infrastructure. In the months since, a slew of other automakers have also adopted the charging hardware, and Tesla has been deploying new technology, including higher-voltage charging hardware on one upcoming vehicle along with Superchargers sporting higher overall charging capacities.
During Tesla’s third-quarter earnings call last month, the automaker confirmed previous rumors that the Cybertruck will include 800-volt charging architecture, offering faster charging and better overall efficiency. In the U.S. and beyond, Tesla has also been deploying its V4 Superchargers, which offer a charging rate of 350 kW compared to the 250 kW rate offered by V3 chargers.
While neither of the developments from Tesla quite hit Rawlinson’s original demand for a 1,000-volt Supercharger, something about the past few months has obviously changed his mind from thinking the NACS was just a “plastic plug with some copper in it.”
It also comes ahead of Lucid’s Q3 earnings call, set to be reported at 5:30 p.m. ET on Tuesday. You can see top investor questions ahead of the call here, the first of which is a question about how and when the automaker will become profitable.
Last month, Lucid reported a miss on analyst delivery estimates for the third quarter, and the automaker said that it was unlikely to reach its already-lowered 2023 production goal of 10,000 units.
Tesla officially opened the NACS design to other automakers just under a year ago, as detailed by the automaker in a blog post.
With the exception of the startup Aptera, which was an early adopter of the equipment, details surrounding Tesla’s opening of the NACS hardware remained quiet for several months after its announcement. In May, however, Ford CEO Jim Farley broke the silence by announcing plans to adopt the standard in May during a call on X with Musk. Since then, nearly every major and startup automaker has joined the list of companies adopting the standard.
First production Lucid Air Sapphire rolls off the assembly line in AZ
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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.