Lucid Group announced on Tuesday morning that it had officially launched an at-home charging station for its EVs. The launch of the at-home charging station is a part of the official launch of Lucid Vehicle Accessories, an expanding lineup of accessories that serve as a “stylish complement” to each Air sedan trim level the company offers.
Lucid Charging moves to your home
Lucid’s Connected Home Charging Station can support up to 19.2 kW of power, giving owners perhaps as much as 80 miles of electric vehicle range per hour. “The home station will effectively double the rate at which the Lucid Air can be charged when installed at full power compared to the included charging cable,” the automaker said.
Designed in-house by Lucid’s team of Engineers, the goal was to design a compact and minimal enclosure to make it comparable in size to other options while giving more driving range per hour than competitors. For comparison, Tesla’s Wall Connector has a power output of up to 11.5 kW or 44 miles of ranger per hour.
The Lucid Connected Home Charging Station is also capable of bi-directional electrical power, allowing the vehicle to act as an energy storage system that can keep essential appliances powered when outages are experienced. Lucid appears to have desires to venture into bi-directional charging as it said it was the company’s first offering that would support a customer’s want to “integrate their vehicle into the company’s future energy ecosystem.”
Lucid said the Connected Home Charging Station will cost $1,200 USD and $1,600 in Canada.
Other Products – Lucid Air Cargo Capsule
Lucid is also planning to launch an Air Cargo Capsule, adding roughly 11.5 cubic feet of cargo space, a sizeable addition to the Lucid Air’s class-leading 32.5 cubic feet of room:
“The spacious and streamlined capsule, composed of a sculpted ABS shell, is exclusively available in black and finished in split gloss and matte black finishes with a gloss black Lucid logo. The capsule can be opened from either side of the vehicle for easy access to the additional storage space and offers interior lighting for visibility in low-light environments.”
Credit: Lucid Group
Lucid’s Air Cargo Capsule will cost $2,000 USD and $2,750 in Canada.
Lucid Air Crossbars
For hauling bikes, kayaks, or surfboards, Lucid has also developed the Air Crossbars, certified for loads of up to 165 pounds while impacting vehicle aerodynamics minimally. The Air Crossbars are compatible with Yakima mounts and are designed to “blend into the lifestyles of the most adventurous Lucid customers.”
The Lucid Air Crossbars are listed at $500 in the United States and $700 in Canada.
Lucid Air All-Weather Mats
Lucid is also introducing a set of all-weather floor mats for the Air, which were also designed in-house. The vehicles are composed of heavy-duty rubber and are non-slip, waterproof, and feature raised edges for a more rugged and durable alternative than the traditional carpet mats.
Lucid said the All-Weather Floor Mats will be available in four colors: Ceramic, Graphite, Saddle, and Black. They will be available in a three-piece set only.
The Lucid Air All-Weather Mats are priced at $250 in the U.S. and $375 in Canada.
The full range of Lucid Air accessories will be available later this year, with the Air Cargo Capsule arriving in early 2023, Lucid said. The Connected Home Charging Station will be available in limited quantities.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
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
