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Self-driving cars move forward. Can we say the same for epileptic driving rights?

(Credit: Tesla)

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4 years ago

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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.

David Dobrik’s Tesla launch does not define his love for the company

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.

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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.

Waymo’s self-driving cars invade San Francisco street in most bizarre way possible

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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.

Don’t hesitate to contact us with tips! Email us at tips@teslarati.com, or you can email me directly at joey@teslarati.com.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla CEO Elon Musk responds to Waymo’s 2,500-fleet milestone

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service.

Published

18 minutes ago

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November 14, 2025

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Credit: Tesla

Elon Musk reacted sharply to Waymo’s latest milestone after the autonomous driving company revealed its fleet had grown to 2,500 robotaxis across five major U.S. regions. 

As per Musk, the milestone is notable, but the numbers could still be improved.

“Rookie numbers”

Waymo disclosed that its current robotaxi fleet includes 1,000 vehicles in the San Francisco Bay Area, 700 in Los Angeles, 500 in Phoenix, 200 in Austin, and 100 in Atlanta, bringing the total to 2,500 units. 

When industry watcher Sawyer Merritt shared the numbers on X, Musk replied with a two-word jab: “Rookie numbers,” he wrote in a post on X, highlighting Tesla’s intention to challenge and overtake Waymo’s scale with its own Robotaxi fleet.

While Tesla’s Robotaxi network is not yet on Waymo’s scale, Elon Musk has announced a number of aggressive targets for the service. During the third quarter earnings call, he confirmed that the company expects to remove safety drivers from large parts of Austin by year-end, marking the biggest operational step forward for Tesla’s autonomous program to date.

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Tesla targets major Robotaxi expansions

Tesla’s Robotaxi pilot remains in its early phases, but Musk recently revealed that major deployments are coming soon. During his appearance on the All-In podcast, Musk said Tesla is pushing to scale its autonomous fleet to 1,000 cars in the Bay Area and 500 cars in Austin by the end of the year.

“We’re scaling up the number of cars to, what happens if you have a thousand cars? Probably we’ll have a thousand cars or more in the Bay Area by the end of this year, probably 500 or more in the greater Austin area,” Musk said.

With just two months left in Q4 2025, Tesla’s autonomous driving teams will face a compressed timeline to hit those targets. Musk, however, has maintained that Robotaxi growth is central to Tesla’s valuation and long-term competitiveness.

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Tesla Full Self-Driving (Supervised) v14.1.7 real-world drive and review

On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users.

Published

16 hours ago

on

November 13, 2025

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tesla interior operating on full self driving
Credit: TESLARATI

Tesla started rolling out its Full Self-Driving (Supervised) v14.1.7 suite last night to owners, and there are several improvements to note within the new update that are at least the start of fixes to highly-mentioned issues.

On an hour-long drive, we tested v14.1.7 and tested its new capabilities, which are mostly overall performance and smoothness fixes rather than integrations of new features that are unknown to routine FSD users. However, there are a handful of shortcomings that are still present within the suite, which are not something that will be fixed within the span of a single update.

For what it is, Full Self-Driving does an excellent job of navigating — once you get it on its correct path. Our issues tend to be confined to navigation, routing, and the decision-making process that has to do with the way the car wants to get you to your destination. There were five things that happened on our first drive with v14.1.7 that are worth mentioning. The full drive will be available at the bottom of this article.

Navigation and Routing Still Seems to Be a Major Challenge

In past content, we’ve discussed the issues with routing and navigation, and how a Tesla chooses its path. Most noticeably, these issues occur in the same areas; for me, it’s my local Supercharger. My 2026 Model Y with AI4 continues to pick less-than-optimal routes out of the Supercharger, and in this instance, it actually chose to turn down a road, pull over, and give me the wheel, essentially asking, “Hey, can you get me on the right track here?”

This is still my biggest bone to pick with FSD, even more so than some of the bonehead moves it’s made in tougher scenarios (mostly parking lots with very limited visibility due to shrubs being planted in the worst possible locations). It’s rare that it happens, but this particular Supercharger has been a true thorn in the side of my Tesla.

This is not an issue that is confined to v14.1.7, or even v14 in general. Unfortunately, it is an issue that has persisted throughout my ownership experience, as well as during Demo Drives.

Stuttering and Hesitation at Intersections was Non-Existent

There was some confusion regarding my language in a recent article where I stated Tesla is confronting the issues that have been reported regarding the “stabbing” with braking.

“Tesla began the v14.1.4 launch last night, which included minor improvements and addressed brake-stabbing issues many owners have reported. In my personal experience, the stabbing has been awful on v14.1.3, and is a major concern.

However, many things have improved, and only a couple of minor issues have been recurring. Many of the issues v13 addressed are no longer an issue, so Tesla has made significant progress.”
It has undoubtedly improved, but it is not resolved.

With that being said, I did not feel a single example of hesitation, stabbing, or stuttering at a single intersection or instance when it has been present in the past. CEO Elon Musk said it would be fixed with v14.2, so it seems like Tesla is well on its way to resolving it.

Proper Handling of Crosswalks

It’s crazy how many people still do not stop for pedestrians at clearly-marked crosswalks. I had two instances of it happen during the drive, with FSD stopping for those pedestrians both times.

Human drivers did not stop either time:

Handled Merging onto a Highway with an Inconsiderate Driver Well

Routinely, drivers will get over into the left lane, if they are able, to allow merging traffic to safely enter the freeway. It does not always happen this way, and it’s not required by law.

Not exclusive to v14.1.7, as many past iterations would have done this as well, but it was nice to watch the vehicle slow down to let that traffic pass. It then entered the freeway safely, and the entire maneuver was well done.

Took an Appropriate Move with Oncoming Foot Traffic and Debris in a Tight Alleyway

This was probably the most on-edge I was during the drive because: 1) FSD chose to take an unnecessary alleyway, and 2) there was a box and oncoming pedestrians.

The car was aware of everything that was going on. In order to avoid the box, it would have had to turn toward the pedestrians, and in order to avoid the pedestrians, it would have had to turn into the box.

It chose to wait patiently, and after the pedestrians were past the car, FSD chose to proceed.

Closing Thoughts

Overall, we’re very impressed with v14.1.7, and we think this is Tesla’s best iteration of the FSD suite yet, as it should be since it’s the newest version available. Tesla’s attention to detail regarding the brake stabbing is really well done, and it seems evident that a complete fix is on its way.

Other than the navigation issue at the very beginning, which was not an intervention, at least in my opinion, this was a really successful drive.

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Elon Musk

Elon Musk debunks report claiming xAI raised $15 billion in funding round

xAI also responded with what appeared to be an automated reply, stating, “Legacy Media Lies.”

Published

18 hours ago

on

November 13, 2025

By

Credit: xAI

Elon Musk has debunked a report claiming his AI startup xAI had raised $15 billion from a funding round. Reports of the alleged funding round were initially reported by CNBC, which cited sources reportedly familiar with the matter.

CNBC’s report

The CNBC story cited unnamed sources that claimed that the new capital injection would help fund GPUs that xAI needs to train its large language model, Grok. The news outlet noted that following the funding round, xAI was valued at $200 billion. 

Artificial intelligence startups have been raising funds from investors as of late. OpenAI raised $6.6 billion in October, valuing the startup at a staggering $500 billion. Reuters also reported last month that OpenAI was preparing for an IPO with a valuation of $1 trillion. Elon Musk’s xAI is looking to catch up and disrupt OpenAI, as well as its large language model, ChatGPT, which has become ubiquitous.

Elon Musk and xAI’s responses

In his response on X, Elon Musk simply stated that the CNBC story was “false.” He did not, however, explain if the whole premise of the publication’s article was fallacious, or if only parts of it were inaccurate. 

Amusingly enough, xAI also issued a response when asked about the matter by Reuters, which also reported on the story. The artificial intelligence startup responded with what appeared to be an automated reply, which read, “Legacy Media Lies.”

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xAI, founded in July 2023 as an alternative to OpenAI and Anthropic, has aggressively built out infrastructure to support its flagship products, including Grok and its recently launched Grokipedia platform. The company is developing its Colossus supercomputer in Memphis, which is heralded as one of the world’s largest supercomputer clusters.

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