News
Lucid announces DreamDrive: a ‘user-friendly, future-ready’ Advanced Driver Assistance System
Lucid Group has announced the details of its Advanced Driver Assistance System (ADAS), DreamDrive, which it calls “the most technically sophisticated advanced driver-assistance system.” Lucid’s DreamDrive, which comes standard in the company’s top two trims of its Air sedan, employs up to 32 onboard sensors, a driver-monitoring system, and a user-friendly interface powered by onboard ethernet networking systems. The system is set to have new features and improvements delivered to it through a series of Over-the-Air updates.
“DreamDrive Pro has been designed to grow in capability, thanks to our ability to deliver software over-the-air and key equipment already in place in the vehicle,” Lucid’s Senior Director of ADAS and Autonomous Driving, Dr. Eugene Lee, said. “Thanks to highly integrated hardware and software teams, Lucid has the ability to develop new functionality for DreamDrive Pro in-house. This can benefit every facet of the DreamDrive Pro experience, from the frequency of updates to the planned rollout of the Highway Pilot system for conditional automated driving on select roadways in the coming years.”
Lucid Air Dream gets massive 520-mile range rating in preliminary EPA tests
A Sensor Suite That Can Detect What the Human Eye Cannot
The 32 onboard sensors that will feed data to the DreamDrive system will detect what the human eye can’t. Only the most trained eye will be able to spot the up to 32 sensors on the Air Dream and Grand Touring editions as they will be seamlessly integrated into the exterior of the sedan.
Lucid writes:
“Comprising 14 visible-light cameras, five radar units, four surround view cameras, ultrasonic sensors throughout the vehicle exterior, and, for DreamDrive Pro, the first automotive installation of LIDAR in North America. This solid-state LIDAR sensor will deliver high-resolution data with an ultra-wide field of view. Together, these sensors enable DreamDrive to detect what a human driver cannot, and act as an invisible co-pilot to help drivers get to their destination safely.”
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- Credit: Lucid
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- Credit: Lucid
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- Credit: Lucid
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- Credit: Lucid
A Human-Machine Interface That’s About the Human
Lucid DreamDrive also will use its Surreal Sound from its 21-internal speaker system to deliver clear directional alerts that will enhance the safety and awareness of drivers. The use of the speakers to warn drivers with directional alerts will enhance features like Front and Rear Cross Traffic Protection and Autonomous Emergency Braking. Surround View Monitoring also will provide a 360-degree view of the car, helping maneuver tight parking spaces or streets.
Highway Assist and Auto Park
Highway Assist and Auto Park features will also help enhance DreamDrive’s versatility. Lucid writes regarding Highway Assist:
“The Highway Assist group of features is designed to help drivers stay safe, while also making the Lucid Air even more delightful to drive. Highway Assist blends adaptive cruise control and lane centering control to help keep the Lucid Air right where it belongs on the freeway, at a safe distance from the vehicle ahead and other lanes. Traffic Jam Assist operates at speeds between 0 and 40 miles per hour, aiding in centering the vehicle when lane lines are occluded by close traffic. For vehicles equipped with DreamDrive Pro, further functions for Highway Assist are already in development.“
Of course, drivers will be able to use Highway Assist when the driver is attentive, and this will be confirmed through a robust sophisticated driver monitoring system. “An infrared driver camera tracks head position, eye gaze, and blinking, while hands-off detection prompts the driver to return their hands to the steering wheel immediately,” the company’s press release states.
Additionally, an Auto Park feature will make putting the car in tight spots much easier. Identifiying parallel or perpendicular spots and easily parking in them makes the task of maneuvering a thing of the past. It will even turn the wheels toward or away from the curb when parking on a hill.
A Robust Platform for Greater Capability in the Future
All of these features are great, but they wouldn’t be possible without the right platform. Lucid’s proprietary Ethernet Ring will enable four high-speed computer gateways – one at each corner of every vehicle – which will communicate with one another at lightning-fast speeds to result in high performance and hgih degrees of redudnancy for key ssytems like steering, braking, power, sensors, and more.
What do you think? Let us know in the comments below, or be sure to email me at joey@teslarati.com or on Twitter @KlenderJoey.
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
