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Tesla Model S firetruck crash in California: What we know so far

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All eyes are on Tesla once more, after a Model S traveling at highway speeds crashed into a parked fire truck in Culver City, California earlier this week. The collision, which allegedly happened while the car was on Autopilot, has incited renewed debates, criticisms, and an upcoming government probe on Tesla and its evolving driving-assist software.

As more details about the accident emerge, here is a brief discussion on the latest and most pertinent information relating to the recent Model S collision.

The accident

As we stated in a previous report, the Tesla Model S was traveling at 65 mph on Interstate 405 on Monday morning when it crashed into a stationary fire truck. The emergency vehicle was parked on the road after being deployed to a separate accident in the area.

The driver of the electric car was able to walk away unharmed from the accident. Upon being questioned by the authorities, the Model S driver stated that the vehicle was on Autopilot when it collided with the parked fire truck. Tesla released a brief statement on Monday, stating that Autopilot is intended only to be used by an attentive driver.

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More details emerge

As the online forum community continued to debate about the benefits and risks of Tesla’s Autopilot software, a member of the r/TeslaMotors subreddit who claimed to know the driver of the crashed Model S spoke up and provided some details about the accident. According to the Redditor, the Model S was traveling behind a pickup truck with Autopilot engaged. Due to the truck’s size, the Tesla’s driver was unable to see beyond the vehicle in front.

“The driver of the Tesla is my dad’s friend. He said that he was behind a pickup truck with AP engaged. The pickup truck suddenly swerved into the right lane because of the firetruck parked ahead. Because the pickup truck was too high to see over, he didn’t have enough time to react.” notes mikhpat.

Tesla Model S crashes into a stationary firetruck [Credit: Culver City Fire Department via Twitter]

Tesla’s Autopilot system allegedly did not have enough time to react while driving at 65 mph. The driver stated that the Model S’ emergency braking system might have activated moments before the car hit the emergency vehicle, but he could not be certain, according to mikhpat‘s statement.

“As for the 65mph detail, the braking system could’ve intervened before the collision, but there’s no way he could tell.”

The impact was strong enough to push the steering wheel two feet into the cabin, however. The Model S driver had some minor cuts and bruises from the accident but was otherwise unharmed. According to the Redditor, the driver admits that he was at fault for not paying close attention to the road. The Model S owner also refused to blame Tesla for the accident.

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While it’s still unconfirmed if Tesla’s Autopilot suite, including Traffic-Aware Cruise Control and Autosteer, was activated at the time of the accident, Tesla’s Model S Owner’s Manual warns of a similar scenario that would not be detected by the driving-assist system.

According to the About Drive Assistance section of the owner’s manual:

“Traffic-Aware Cruise Control cannot detect all objects and may not brake/decelerate for stationary vehicles, especially in situations when you are driving over 50 mph (80 km/h) and a vehicle you are following moves out of your driving path and a stationary vehicle or object is in front of you instead.”

The warning appears to mimic the exact situation being described by Redditor mikhpat.

The investigations begin

As the online forum community exploded amidst heated debates on who is to blame for the recent Model S collision, the US National Transportation Safety Board announced that it is sending two of its investigators to California to study the crash. According to the NTSB, the investigators will be examining both “driver and vehicle” factors in Monday’s accident.

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By Tuesday, the National Highway Traffic Safety Administration announced that it is also sending a team of investigators to California to evaluate the recent accident, as well as to assess any “lessons learned” from the crash, as noted in a Bloomberg report. The NHTSA did not specify which team of investigators it was sending to California, but expectations are high that the regulating body would be deploying its Special Crash Investigations unit.

 

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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SpaceX’s newest Starmind will make earth data centers obsolete

Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.

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Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites

It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.

SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history

Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.

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Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.

SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.

The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.

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Tesla pushes back against unfair reporting of accidents

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(Credit: Tesla)

Tesla is pushing back against the unfair reporting of accidents involving its vehicles. Many media outlets were quick to jump to conclusions about a fatal accident involving a Tesla in Katy, Texas, that happened recently.

The driver of the vehicle, which slammed into a brick house and killed a woman inside, stated the car was operating on Autopilot. Tesla CEO Elon Musk and Head of AI Ashok Elluswamy both challenged that claim, with Elluswamy revealing last night that the system was overridden by the driver, who pressed the accelerator pedal “all the way to 100%.”

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

The car reached a speed of 73 MPH during the crash, Elluswamy detailed, and stated that the accelerator pedal was even pressed after the crash.

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The story has been spread throughout the media with either incomplete or incorrect reporting, with some stories still not updated nearly 24 hours after Musk and Elluswamy posted answers about the crash on X.

The reporting has been a thorn in the side of Tesla for several years. Vehicle accidents involving Teslas are usually reported with the manufacturer’s name in the headline, while other companies are free of criticism when their cars are involved in accidents.

Here’s an example of that:

Many media outlets stated the car was in “self-driving mode” or “Autopilot mode” when the car crashed. The truth is, now that Tesla has chimed in, that the driver had manually overriden the system by pressing the accelerator. Elluswamy commented on the unfair reporting:

“This blatantly irresponsible reporting does more harm to people than they realize.

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Using Tesla self-driving is far safer than manual driving, and this was measured over 10B miles.

Planting such FUD in the minds of general public, who might not know the all the facts, might prevent them from using this technology that makes them safer.”

The damage these headlines do to Tesla and the self-driving car movement is unexplainable. Most people do not realize the safeguards that are in place with Tesla’s self-driving functions; many people who have used it know the car would never travel at that speed in a residential area, not even on the most aggressive “Mad Max” setting.

It is important to remember that Tesla Full Self-Driving is not autonomous, and the company never claimed it was. Drivers are still responsible for paying attention and remaining vigilant. They must be able to take over at all times.

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Tesla gets another layer of gamification with Free Supercharging on the line

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Credit: Tesla

Tesla Supercharging is getting yet another layer of gamification, as the company is rolling out a new competition that could win Free Supercharging miles.

Tesla is ramping up its efforts to make vehicle ownership more engaging through gamification. In June 2026, the company announced the 2026 Free Supercharging Competition, building on the Charging Passport feature introduced the previous year. This initiative turns Supercharging into a competitive, collectible adventure while offering substantial real-world incentives.

The Charging Passport, rolled out late last year, functions like a digital travel log or a year-in-review for Tesla owners. These types of things are used by many platforms, including Spotify and Apple Music, which show listeners what type of taste they had for the year.

Accessed in the Tesla App under the ‘Charging’ section, it displays a map of visited Superchargers, key stats, such as total energy charged (kWh), number of unique sites, total charging sessions, top charging day, and miles added. Owners earn collectible Charging Badges in categories, which include:

  • Charging Milestones – for total energy, consecutive weeks of Supercharging, or unique sites visited
  • Iconic Chargers – for Flagship Locations or stations near famous landmarks
  • Special Events – limited-time badges for specific experiences. These badges appear within 24 hours of qualifying activity and provide a fun, shareable recap of an owner’s Supercharging journeys. Milestone progress resets annually, allowing fresh challenges each year

The 2026 contest elevates this gamification by rewarding top performers with lifetime free Supercharging. All Supercharging sessions from January 1 to December 31, 2026, count toward the competition. To participate, owners must enable “Share Charging Data with Tesla App” in vehicle settings and open the 2026 Charging Passport in the app at least once before January 1, 2027.

Nine winners will be selected — three per region (Americas, Asia-Pacific, and EMEA, with some  countries excluded for regulatory reasons) — one in each of three categories:

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  • Longest Trip: Longest continuous streak of unique Supercharger locations where each new site is visited within 24 hours of the previous session’s start time
  • Most Unique Supercharger Sites Visited: Highest number of distinct locations
  • Most Energy Supercharged: Highest total in kWh charged at Superchargers

A unique site is defined as shown in the Tesla app or vehicle navigation. Repeat visits during a streak are allowed but do not extend the count. Ties are broken by total energy charged. Ineligible participants include vehicles already receiving free Supercharging, commercial-use vehicles (taxi, rideshare, delivery), Tesla employees and their immediate families, and residents of certain excluded countries.

Winners receive free Supercharging on the winning vehicle for as long as they own or lease it.

This contest is part of Tesla’s broader gamification strategy. The Safety Score has long rewarded safe driving habits with a numerical rating that can influence insurance rates or feature access. The referral program incentivizes owners with credits or free Supercharging months for successful referrals.

In-app statistics, streaks, and community features further encourage engagement. Older third-party apps even awarded “mayor” titles for frequenting specific Superchargers.

By combining digital badges, competitive leaderboards, and high-value rewards, Tesla boosts network utilization, gathers usage data, and fosters deeper owner loyalty. The 2026 Free Supercharging Competition invites enthusiasts to plan epic road trips while turning everyday charging into a rewarding pursuit. With the Passport already proving popular, expect heightened activity across the Supercharger network throughout the year.

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