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Waymo’s driverless taxi service details revealed in DMV application

[Credit: Waymo]

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Details of Waymo’s driverless taxi service were revealed in the company’s recent application to the Department of Motor Vehicles (DMV). As could be seen in the filings, Waymo is requesting for a permit to operate 52 autonomous, fully-driverless vehicles in California, with the company deploying its Chrysler Pacifica minivans for the proposed CA testing.

The details of Waymo’s application for its driverless taxi service were retrieved by news website IEEE Spectrum through the use of public record laws. According to the company’s filings, the driverless taxis will be deployed in an intensively-mapped, geofenced area of roughly 50 square miles. As noted in Waymo’s DMV application, passengers would be prohibited to select an area outside the company’s pre-selected geo-zone.

Waymo noted in its DMV filings that its Chrysler Pacifica self-driving minivans are capable of handling most roads and parking spaces. The vehicles are also capable of traveling up to 65 miles per hour at their current state. Additionally, Waymo further stated that the driverless taxis are capable of handling fog and light rain, as well as night-time driving.

In the event that Waymo’s driverless taxis encounter dangerous road conditions — such as heavy rain, flooded roads, off-road terrain, and snowy or icy streets — the vehicles are programmed to look for a “minimal risk condition.” This, at times, involves the vehicle stopping on the side of the road.

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If a Waymo driverless taxi detects a failure, an impact on the car’s exterior, or an airbag deployment, the vehicle is programmed to halt its operations. Quite interestingly, Waymo’s DMV application noted that there wouldn’t be any way for passengers to override the controls of the vehicle.

“For safety reasons, and because Waymo’s vehicles already handle the entire dynamic driving task at SAE Level 4, Waymo neither has such functionality today, nor do we intend to moving forward,” Waymo noted in its DMV application.

As a contingency, Waymo is employing two teams that are tasked to monitor the driverless taxi fleet while the vehicles are operating. One team, called Fleet Response Specialists, will be monitoring the status of the self-driving cars in real-time using virtual tools. The other, called Rider Support, functions as a customer support center, communicating with passengers of the driverless taxis. So far, Waymo noted in its DMV application that it had trained 70 Fleet Response Specialists and 23 Rider Support members.

Waymo also has specific systems designed to react to law enforcement. According to the company’s DMV filings, the autonomous taxis are programmed to pull over once it detects a police car’s flashing lights behind it. When this happens, the Waymo driverless taxi will unlock its doors and roll down a window to enable an officer to communicate directly with the Rider Support team. Waymo’s DMV application also includes a “law enforcement interaction protocol,” which provides information for paramedics, police officers, and firefighters.

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Last March, Waymo released the latest vehicle for its self-driving fleet — the Jaguar I-PACE. According to CEO John Krafcik, Waymo expects to start testing the I-PACE later this year. Waymo hopes to eventually deploy as many as 20,000 autonomous Jaguar I-PACE taxis within two years of the electric car’s production.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla engineers deflected calls from this tech giant’s now-defunct EV project

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Image Created by Grok

Tesla engineers deflected calls from Apple on a daily basis while the tech giant was developing its now-defunct electric vehicle program, which was known as “Project Titan.”

Back in 2022 and 2023, Apple was developing an EV in a top-secret internal fashion, hoping to launch it by 2028 with a fully autonomous driving suite.

However, Apple bailed on the project in early 2024, as Project Titan abandoned the project in an email to over 2,000 employees. The company had backtracked its expectations for the vehicle on several occasions, initially hoping to launch it with no human driving controls and only with an autonomous driving suite.

Apple canceling its EV has drawn a wide array of reactions across tech

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It then planned for a 2028 launch with “limited autonomous driving.” But it seemed to be a bit of a concession at that point; Apple was not prepared to take on industry giants like Tesla.

Wedbush’s Dan Ives noted in a communication to investors that, “The writing was on the wall for Apple with a much different EV landscape forming that would have made this an uphill battle. Most of these Project Titan engineers are now all focused on AI at Apple, which is the right move.”

Apple did all it could to develop a competitive EV that would attract car buyers, including attempting to poach top talent from Tesla.

In a new podcast interview with Tesla CEO Elon Musk, it was revealed that Apple had been calling Tesla engineers nonstop during its development of the now-defunct project. Musk said the engineers “just unplugged their phones.”

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Musk said in full:

“They were carpet bombing Tesla with recruiting calls. Engineers just unplugged their phones. Their opening offer without any interview would be double the compensation at Tesla.”

Interestingly, Apple had acquired some ex-Tesla employees for its project, like Senior Director of Engineering Dr. Michael Schwekutsch, who eventually left for Archer Aviation.

Tesla took no legal action against Apple for attempting to poach its employees, as it has with other companies. It came after EV rival Rivian in mid-2020, after stating an “alarming pattern” of poaching employees was noticed.

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Tesla to a $100T market cap? Elon Musk’s response may shock you

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There are a lot of Tesla bulls out there who have astronomical expectations for the company, especially as its arm of reach has gone well past automotive and energy and entered artificial intelligence and robotics.

However, some of the most bullish Tesla investors believe the company could become worth $100 trillion, and CEO Elon Musk does not believe that number is completely out of the question, even if it sounds almost ridiculous.

To put that number into perspective, the top ten most valuable companies in the world — NVIDIA, Apple, Alphabet, Microsoft, Amazon, TSMC, Meta, Saudi Aramco, Broadcom, and Tesla — are worth roughly $26 trillion.

Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI

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Cathie Wood of ARK Invest believes the number is reasonable considering Tesla’s long-reaching industry ambitions:

“…in the world of AI, what do you have to have to win? You have to have proprietary data, and think about all the proprietary data he has, different kinds of proprietary data. Tesla, the language of the road; Neuralink, multiomics data; nobody else has that data. X, nobody else has that data either. I could see $100 trillion. I think it’s going to happen because of convergence. I think Tesla is the leading candidate [for $100 trillion] for the reason I just said.”

Musk said late last year that all of his companies seem to be “heading toward convergence,” and it’s started to come to fruition. Tesla invested in xAI, as revealed in its Q4 Earnings Shareholder Deck, and SpaceX recently acquired xAI, marking the first step in the potential for a massive umbrella of companies under Musk’s watch.

SpaceX officially acquires xAI, merging rockets with AI expertise

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Now that it is happening, it seems Musk is even more enthusiastic about a massive valuation that would swell to nearly four-times the value of the top ten most valuable companies in the world currently, as he said on X, the idea of a $100 trillion valuation is “not impossible.”

Tesla is not just a car company. With its many projects, including the launch of Robotaxi, the progress of the Optimus robot, and its AI ambitions, it has the potential to continue gaining value at an accelerating rate.

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Musk’s comments show his confidence in Tesla’s numerous projects, especially as some begin to mature and some head toward their initial stages.

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Celebrating SpaceX’s Falcon Heavy Tesla Roadster launch, seven years later (Op-Ed)

Seven years later, the question is no longer “What if this works?” It’s “How far does this go?”

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SpaceX's first Falcon Heavy launch also happened to be a strategic and successful test of Falcon upper stage coast capabilities. (SpaceX)

When Falcon Heavy lifted off in February 2018 with Elon Musk’s personal Tesla Roadster as its payload, SpaceX was at a much different place. So was Tesla. It was unclear whether Falcon Heavy was feasible at all, and Tesla was in the depths of Model 3 production hell.

At the time, Tesla’s market capitalization hovered around $55–60 billion, an amount critics argued was already grossly overvalued. SpaceX, on the other hand, was an aggressive private launch provider known for taking risks that traditional aerospace companies avoided.

The Roadster launch was bold by design. Falcon Heavy’s maiden mission carried no paying payload, no government satellite, just a car drifting past Earth with David Bowie playing in the background. To many, it looked like a stunt. For Elon Musk and the SpaceX team, it was a bold statement: there should be some things in the world that simply inspire people.

Inspire it did, and seven years later, SpaceX and Tesla’s results speak for themselves.

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Credit: SpaceX

Today, Tesla is the world’s most valuable automaker, with a market capitalization of roughly $1.54 trillion. The Model Y has become the best-selling car in the world by volume for three consecutive years, a scenario that would have sounded insane in 2018. Tesla has also pushed autonomy to a point where its vehicles can navigate complex real-world environments using vision alone.

And then there is Optimus. What began as a literal man in a suit has evolved into a humanoid robot program that Musk now describes as potential Von Neumann machines: systems capable of building civilizations beyond Earth. Whether that vision takes decades or less, one thing is evident: Tesla is no longer just a car company. It is positioning itself at the intersection of AI, robotics, and manufacturing.

SpaceX’s trajectory has been just as dramatic.

The Falcon 9 has become the undisputed workhorse of the global launch industry, having completed more than 600 missions to date. Of those, SpaceX has successfully landed a Falcon booster more than 560 times. The Falcon 9 flies more often than all other active launch vehicles combined, routinely lifting off multiple times per week.

Falcon Heavy successfully clears the tower after its maiden launch, February 6, 2018. (Tom Cross)

Falcon 9 has ferried astronauts to and from the International Space Station via Crew Dragon, restored U.S. human spaceflight capability, and even stepped in to safely return NASA astronauts Butch Wilmore and Suni Williams when circumstances demanded it.

Starlink, once a controversial idea, now dominates the satellite communications industry, providing broadband connectivity across the globe and reshaping how space-based networks are deployed. SpaceX itself, following its merger with xAI, is now valued at roughly $1.25 trillion and is widely expected to pursue what could become the largest IPO in history.

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And then there is Starship, Elon Musk’s fully reusable launch system designed not just to reach orbit, but to make humans multiplanetary. In 2018, the idea was still aspirational. Today, it is under active development, flight-tested in public view, and central to NASA’s future lunar plans.

In hindsight, Falcon Heavy’s maiden flight with Elon Musk’s personal Tesla Roadster was never really about a car in space. It was a signal that SpaceX and Tesla were willing to think bigger, move faster, and accept risks others wouldn’t.

The Roadster is still out there, orbiting the Sun. Seven years later, the question is no longer “What if this works?” It’s “How far does this go?”

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