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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.

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.

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“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.

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:

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“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.

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.

 

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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 Optimus V3 gets early third-party feedback, and it’s eye-opening

Jason Calacanis’ remarks, which were shared during a discussion at CES 2026, offered one of the first third-party impressions of the yet-to-be-unveiled robot

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Credit: Tesla/YouTube

Angel investor and entrepreneur Jason Calacanis shared some insights after he got an early look at Tesla’s upcoming Optimus V3. His remarks, which were shared during a discussion at CES 2026, offered one of the first third-party impressions of the yet-to-be-unveiled robot.

Calacanis’ comments were shared publicly on X, and they were quite noteworthy.

The angel investor stated that he visited Tesla’s Optimus lab on a Sunday morning and observed that the place was buzzing with energy. The investor then shared a rare, shocking insight. As per Calacanis, Optimus V3 will be so revolutionary that people will probably not even remember that Tesla used to make cars in the future.

“I don’t want to name drop, but two Sundays ago, I went to Tesla with Elon and I went and visited the Optimus lab. There were a large number of people working on a Sunday at 10 a.m. and I saw Optimus 3. I can tell you now, nobody will remember that Tesla ever made a car,”  he noted.

The angel investor also reiterated the primary advantage of Optimus, and how it could effectively change the world.

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“They will only remember the Optimus and that he is going to make a billion of those, and it is going to be the most transformative technology product ever made in the history of humanity, because what LLMs are gonna enable those products to do is understand the world and then do things in the world that we don’t want to do. I believe there will be a 1:1 ratio of humans to Optimus, and I think he’s already won,” he said. 

While Calacanis’ comments were clearly opinion-driven, they stood out as among the first from a non-Tesla employee about Optimus V3. Considering his reaction to the humanoid robot, perhaps Elon Musk’s predictions for Optimus V3 might not be too far-fetched at all.

Tesla has been careful with its public messaging around Optimus V3’s development stage. Musk has previously stated on X that Optimus V3 has not yet been revealed publicly, clarifying that images and videos of the robot online still show Optimus V2 and V2.5, not the next-generation unit. As for Calacanis’ recent comments, however, Musk responded with a simple “Probably true” in a post on X.

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Tesla taps Samsung for 5G modems amid plans of Robotaxi ramp: report

The move signals Tesla’s growing focus on supply-chain diversification and next-generation communications as it prepares to scale its autonomous driving and robotaxi operations.

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Credit: Samsung Electronics

A report from South Korea has suggested that Samsung Electronics is set to begin supplying 5G automotive modems to Tesla. If accurate, this would mark a major expansion of the two companies’ partnership beyond AI chips and into vehicle connectivity. 

The move signals Tesla’s growing focus on supply-chain diversification and next-generation communications as it prepares to scale its autonomous driving and Robotaxi operations.

Samsung’s 5G modem

As per industry sources cited by TheElec, Samsung’s System LSI division has completed development of a dedicated automotive-grade 5G modem for Tesla. The 5G modem is reportedly in its testing phase. Initial supply is expected to begin in the first half of this year, with the first deployments planned for Tesla’s Robotaxi fleet in Texas. A wider rollout to consumer vehicles is expected to follow.

Development of the modem began in early 2024 and it required a separate engineering process from Samsung’s smartphone modems. Automotive modems must meet stricter durability standards, including resistance to extreme temperatures and vibration, along with reliability over a service life exceeding 10 years. Samsung will handle chip design internally, while a partner company would reportedly manage module integration.

The deal represents the first time Samsung has supplied Tesla with a 5G vehicle modem. Tesla has historically relied on Qualcomm for automotive connectivity, but the new agreement suggests that the electric vehicle maker may be putting in some serious effort into diversifying its suppliers as connectivity becomes more critical to autonomous driving.

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Deepening Tesla–Samsung ties

The modem supply builds on a rapidly expanding relationship between the two companies. Tesla previously selected Samsung’s foundry business to manufacture its next-generation AI6 chips, a deal valued at more than 22.7 trillion won and announced in mid-2025. Together, the AI chip and 5G modem agreements position Samsung as a key semiconductor partner for Tesla’s future vehicle platforms.

Industry observers have stated that the collaboration aligns with Tesla’s broader effort to reduce reliance on Chinese and Taiwanese suppliers. Geopolitical risk and long-term supply stability are believed to be driving the shift in no small part, particularly as Tesla prepares for large-scale Robotaxi deployment.

Stable, high-speed connectivity is essential for Tesla’s Full Self-Driving system, supporting real-time mapping, fleet management, and continuous software updates. By pairing in-vehicle AI computing with a new 5G modem supplier, Tesla appears to be tightening control over both its hardware stack and its global supply chain.

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Tesla Full Self-Driving pricing strategy eliminates one recurring complaint

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Credit: Tesla

Tesla’s new Full Self-Driving pricing strategy will eliminate one recurring complaint that many owners have had in the past: FSD transfers.

In the past, if a Tesla owner purchased the Full Self-Driving suite outright, the company did not allow them to transfer the purchase to a new vehicle, essentially requiring them to buy it all over again, which could obviously get pretty pricey.

This was until Q3 2023, when Tesla allowed a one-time amnesty to transfer Full Self-Driving to a new vehicle, and then again last year.

Tesla is now allowing it to happen again ahead of the February 14th deadline.

The program has given people the opportunity to upgrade to new vehicles with newer Hardware and AI versions, especially those with Hardware 3 who wish to transfer to AI4, without feeling the drastic cost impact of having to buy the $8,000 suite outright on several occasions.

Now, that issue will never be presented again.

Last night, Tesla CEO Elon Musk announced on X that the Full Self-Driving suite would only be available in a subscription platform, which is the other purchase option it currently offers for FSD use, priced at just $99 per month.

Tesla is shifting FSD to a subscription-only model, confirms Elon Musk

Having it available in a subscription-only platform boasts several advantages, including the potential for a tiered system that would potentially offer less expensive options, a pay-per-mile platform, and even coupling the program with other benefits, like Supercharging and vehicle protection programs.

While none of that is confirmed and is purely speculative, the one thing that does appear to be a major advantage is that this will completely eliminate any questions about transferring the Full Self-Driving suite to a new vehicle. This has been a particular point of contention for owners, and it is now completely eliminated, as everyone, apart from those who have purchased the suite on their current vehicle.

Now, everyone will pay month-to-month, and it could make things much easier for those who want to try the suite, justifying it from a financial perspective.

The important thing to note is that Tesla would benefit from a higher take rate, as more drivers using it would result in more data, which would help the company reach its recently-revealed 10 billion-mile threshold to reach an Unsupervised level. It does not cost Tesla anything to run FSD, only to develop it. If it could slice the price significantly, more people would buy it, and more data would be made available.

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