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Self-driving cars move forward. Can we say the same for epileptic driving rights?
The future of autonomous vehicles is almost a certainty, but for people with seizures and epilepsy who are dependent and reliant on having transportation for their day-to-day activities, it is anything but. The self-driving cars of the future could offer independence and freedom for those who are not legally able to obtain a driver’s license due to their medical conditions. However, as the autonomous vehicles of the future approach with every passing day, it seems that the states and laws that surround epilepsy and driving may need re-examining, especially as companies like Tesla move toward a future involving self-driving cars.
Laws regarding epilepsy and driver’s licenses vary from state to state. However, what may be more striking than the fact that those who suffer from seizures are rarely granted driving privileges is the fact that many states have not started to prepare for a future with them on the road as passengers. The simple fact is that companies are moving closer and closer to solving autonomy every single day. Legislation has not moved forward at the pace of autonomy, which begs the question: What if self-driving cars come before those with epilepsy have the right to operate them?
According to the California Department of Motor Vehicles, what lies ahead for autonomy really depends on the companies that handle the issue. For companies like Tesla, the goal is obvious: create a car that can take away the hassle of driving and make things safer for more people. However, some of the companies involved in the fight for autonomous vehicles may not realize the act of service they are doing for those who have not had the opportunity to drive or operate a motor vehicle due to a neurological condition.
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The California DMV told Teslarati that it allows those with epilepsy or conditions involving seizures to be evaluated by the State to ensure they remain safe behind the wheel. “If you lose consciousness for a short period of time, you can also lose control of your vehicle, which can result in serious accidents or death,” the California DMV writes on its website. Those who are interested in obtaining a driver’s license will undergo an evaluation, which uses the “Lapse of Consciousness Consolidation Table” as a benchmark to determine whether a person seems capable of driving a vehicle.
Obviously, whether the person receives driving privileges or not is completely dependent on the symptoms, severity, and causes of their condition. The chart is extensive and uses ten pages of tables to evaluate a potential driver, leaving no room for personal interpretation or grey areas. Additionally, provisionally available license grants are possible depending on a lapse of time in between episodes. However, it requires full medical transparency from the driver, including regular check-ins that are technically written and law-abiding statements. Falsifying the status of one’s condition can ultimately result in the suspension and possible revocation of a driver’s license.
While all of these details provide some color to the potential rights of those who would be interested in obtaining the privilege to drive a vehicle, there is still a major miscommunication on the potential of what self-driving cars could do for people who are not eligible for a license. Additionally, it could benefit some drivers who may be fit to drive but are uncomfortable with disclosing medical information with relation to the HIPAA act. When Level 5 autonomy is reached by a company, laws and legislation will have to be written or revised to include those who would like to have their vehicle drive them to a destination. Unfortunately, while companies chip away and move closer to this goal, the lack of knowledge on the part of DMVs at the current time was shocking. Relatively no detail was given by the California DMV, where Tesla was located until late September. Meanwhile, Waymo and Pony.ai still call California home in Mountain View and Fremont, respectively.
While the evaluation process is clear and concise, it only takes into account the instances where those with epilepsy would be able to drive a car, and not in the instance that a car drives itself. Essentially, the preparedness of government agencies to cater to those with disorders could result in even more time wasted for those who are affected.
The status of the self-driving industry is also moving forward at a tremendous rate. Tesla is expanding its Full Self-Driving Beta program and is focusing on gathering more data with the help of its Beta fleet to make its neural network more robust. Waymo is launching somewhat successful moves toward autonomous driving, and Pony.ai is launching Robotaxis in Beijing.
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States need to begin working toward clarifying the situation between self-driving cars and the epileptic. There is too much room for interpretation currently, and the issue is much more serious than just “hitching a ride.” The revolutionary change that has already started occurring with electric cars will see something extremely similar with self-driving vehicles: a lack of understanding and infrastructure that could potentially delay progression and derail advancement in the way people with neurological disorders get from place to place.
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Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
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The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
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Tesla to open source Model S and Model X designs and software
