Lucid has released details for its electric vehicle charging infrastructure, indicating that it has agreed to multiple partnerships with both Electrify America and QMerit. The collaboration between Lucid and the two charging companies will not only provide the automaker with best-in-industry peak charging rates, but it will also provide owners of the company’s cars with bi-directional home chargers for car-to-grid capabilities.
The announcement comes on the heels of a press release that was released on August 11, which indicated that Lucid’s first electric vehicle, the Air, had received an EPA-estimated 517-mile range rating after tests from FEV North America.
In a press release from Lucid, the company detailed the Air’s charging capabilities, which include a peak charging rate of over 300kW thanks to an “ultra-high voltage 900V+ architecture.”
The Air’s charging capabilities will make it the fastest charging electric vehicle ever offered with the ability to receive up to 20 miles of range per minute. “For owners charging their Lucid Air in real-world conditions on the road, that translates into 300 miles of range in just 20 minutes of charging,” the release said.
Lucid also has a unique “Wunderbox” onboard charging unit that combines several usually separate capabilities into one integrated housing. “This gives Lucid Air full interoperability with public charging infrastructure, including the ever-growing, 350kW fast-charging infrastructure being built-out nationwide.”
The released details about the Lucid Air’s charging abilities point toward the company’s intention to make their debut electric vehicle the best in the business.
“We designed every aspect of the Lucid Air and its platform in-house to be hyper-efficient, from the powertrain to the aerodynamics, and we’ve set several new benchmarks through these efforts including the longest range EV with an estimated EPA range of 517 miles,” Eric Bach, the Vice President of Hardware Engineering, said. “With our ultra-high voltage 900V+ electrical architecture and the proprietary Wunderbox, we have significantly increased the speed of energy getting into, around, and even out of the vehicle, delivering the world’s fastest charging EV packed with future-ready charging features.”
On-the-Road Charging
Thanks to a partnership from Electrify America, Lucid Air owners will have the ability to charge their vehicles for free thanks to three years of complimentary charging at any of the 2,000 stations EA has nationwide. Offering charging speeds between 150kW and 350kW, Lucid states its infrastructure will support “ultrafast” EV charging, along with real-time availability updates across the United States.
Home Charging Capabilities
Lucid has developed the “Lucid Connected Home Charging Station,” which is among the first AC charging stations with bi-directional charging that has ever been offered. “With bi-directional charging, owners can enjoy not just a more cost-
effective charging method, but also use their Lucid Air as a temporary energy reserve to power their homes, including off-grid vacation properties,” the company wrote in its press release.
The production version of the Air will be revealed during an online event on September 9, 2020. Information on the vehicle’s interior and exterior designs, as well as specifications, configurations, and pricing options, will also be shared during the event.
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.
