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Tesla Autopilot warns driver well ahead of potential head-on collision

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As Tesla’s latest Autopilot 2.0 update under version 8.1 (2018.10.4) continues to receive rave reviews from operators across the world, one Model S owner is thanking the company for its Forward Collision Avoidance feature after it saved them from a near head-on collision.

A Model S driver in Switzerland posted a video that shows a close-call situation after three cars in the opposite lane veered into their lane, in an attempt to overtake a slow-moving farm tractor. With the vehicle’s Autopilot system engaged at 50 mph (85 km/h), the driver under the Reddit username l10i recounts seeing a Ford Kuga driving directly at them while overtaking the tractor. The Ford was followed by two other vehicles that were also looking to also pass the farm vehicle. The second vehicle is seen coming in close proximity to l10i’s Model S, barely missing it as it quickly swerves back. The third vehicle, a van, doesn’t have enough room to overtake the tractor and retreats to their original lane.

“I saw the first car (Ford Kuga) beginning to overtake the tractor and said to myself « Okay, that’s ballsy. But it should be fine… if you hit the gas… come on! ». I chose to let Autopilot do its thing and was ready to take over, maybe planning to honk the Kuga when passing by if it was too close. That’s when I saw one more car and then a van starting to overtake the tractor with a hundred meters to spare, that was not gonna happen!” said the driver of the Model S.

However, l10i notes that Autopilot’s safety feature impressed not only because of its Forward Collision Warning system and its ability to detect the oncoming car – there have been countless videos posted by Tesla owners in the past, showing Autopilot saving them from an imminent collision – rather, it was the vehicle’s ability to detect the threat of oncoming danger well in advance that made it even more impressive.

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According to the driver, Tesla’s suite of sensors including the vehicle’s forward facing cameras and radar were able to identify the Ford while it was turning into their lane and still 250-feet (75 meters) away, and sound a series of chimes and visual indicator to alert the driver of possible danger. “The AP was well aware of the Kuga being in MY lane at that distance! The radar alone can’t tell if the echo is on the correct lane (any normal oncoming traffic) or not. I find this latest update quite impressive indeed.” said l10i.

RELATED: Tesla fan puts himself in front of a moving Model S to test Autopilot collision avoidance capabilities

Tesla’s Owners Manual for Model S indicates that the vehicle’s cameras and sensors associated with Forward Collision Warning can monitor an area up to 525 feet (160 meters) in the vehicle’s driving path. Although Tesla vehicles equipped with the Collision Avoidance Assist system also features Automatic Emergency Braking, the company warns drivers to use appropriate caution when operating a vehicle and be prepared to take corrective action at all times. Only in situations where a frontal collision is considered unavoidable will Automatic Emergency Braking be applied, with the goal of reducing the severity of an impact. Another relatively unknown safety feature is Tesla’s “Active Hood” that’s designed to minimize injury from a collision with pedestrians.

Watch l10i’s video below and let us know what you think of the Tesla’s safety feature.

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Gene has been obsessed with cars since before he could legally sit in the front seat. Writer, researcher, unofficial CS support, accountant, native suit guy when needed, and overall stick poker. He approaches every story the way he approaches a road trip: with too much enthusiasm, not enough planning, and a surprisingly good outcome. gene@teslarati.com

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Tesla makes the cut on California’s newest EV Rebate program

California just signed a $270 million EV rebate into law and it starts this summer.

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tesla fremont

California Governor Gavin Newsom signed SB 168 into law on Monday, July 13, 2026, creating a $270 million EV rebate program that delivers money directly at the dealership rather than as a tax credit applied months later. The program, called MyFirstEV, is funded equally by California’s state budget and participating automakers, with each contributing $135.5 million to make the math work.

The timing is directly tied to the loss of federal support when the $7,500 federal EV tax credit ended, removing the most significant consumer incentive that had driven EV adoption in the U.S. California, which accounts for roughly one-third of all EVs sold nationally, moved to fill that gap with a state-level replacement.

The rebate structure is straightforward. First-time EV buyers can receive $3,500 off any new battery-electric vehicle with an MSRP up to $50,000. Used EVs priced at $25,000 or below qualify for a $1,750 rebate. The credit is applied at the point of sale, which removes the friction of the old federal system where buyers had to wait for tax season to see the benefit. The program goes live later this summer, with the California Air Resources Board expected to release full participation details next month.

California hits Tesla Cybercab and Robotaxi driverless cars with new law

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For Tesla buyers, the implications are mixed. The Tesla Model 3 RWD at $42,490 and the Model 3 Long Range at $47,490 both fall under the $50,000 cap and would qualify for the full $3,500 rebate for first-time buyers. The Model Y, which starts at $44,990 after Tesla’s recent price adjustment, also qualifies. The Model X, Model S, and Cybertruck all exceed the cap and receive no benefit. As Teslarati has reported, the program also includes a carve-out exempting California-based automakers like Rivian and Lucid from the price cap entirely, a provision that puts Tesla at a disadvantage since it relocated its headquarters to Texas in 2021.

Other qualifying vehicles include the Chevrolet Equinox EV, Ford Mustang Mach-E, Hyundai Ioniq 5, Kia EV6, and Volkswagen ID.4.

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Tesla FSD is about to know your specific house and neighborhood better than any map

Tesla confirmed it is building a feature that lets you teach your car where to go.

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Tesla FSD 14.3 [Credit: TESLARATI)

Tesla is building a feature that will let drivers talk to their car in plain language and teach it exactly what to do, with the vehicle remembering those instructions for every future trip. Tesla VP of AI Software Ashok Elluswamy confirmed it this week on X after a user pointed out one of FSD’s most persistent real-world limitations is that the system has no way to receive contextual instructions the way a human driver would.

“FSD would be twice as useful in neighborhoods if I could actually talk to the car and tell it which driveway to pull into, the same way I would with a person driving me home. Right now, there isn’t really an input for telling Tesla what color the house is or giving it specific context like that. Google Maps is also notorious for putting pins on houses that aren’t actually yours.” Tesla owner Chris further noted, “It would be so cool if I could talk to the car while going down my street and say something like, ‘It’s the white house on the left, just past that SUV,’ and then have FSD remember that for next time.”

This feature would carry more weight than it might seem. Grok has been available inside Tesla vehicles since July 2025, expanded to European vehicles in February 2026, and gained a hands-free “Hey Grok” wake word with location-based reminders and natural-language navigation in the Spring 2026 update. But up to this point, Grok has had no authority over how FSD actually drives. Lane changes, braking, speed, and parking maneuvers remain entirely within FSD’s autonomous decision-making loop. What Elluswamy confirmed is that the next step pushes Grok into a supervisor role, one that translates spoken intent directly into driving decisions.

Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’

Elluswamy acknowledged at a January 2026 conference that while fully integrated voice control is on Tesla’s roadmap, “it opens up an entire area of testing that we have to do. For example, you shouldn’t be able to tell the car to crash, and it shouldn’t crash.” Elon Musk subsequently confirmed on June 23 that Grok voice commands will pass to FSD’s planning layer by September 2026, a three month timeline from confirmation to deployment.

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The deeper significance is what this does for Tesla’s AI training flywheel. Every time an owner corrects FSD with a spoken instruction and the car learns and remembers it, that interaction becomes a data point covering an edge case that no simulation or scripted test could have generated. A fleet of millions of Tesla vehicles crowdsourcing hyper-local contextual knowledge, which driveway, which gate entrance, which side of the street, builds a layer of geographic and behavioral intelligence that competitors without a comparable fleet simply cannot replicate at the same speed or scale.

As Teslarati has reported, Tesla’s Cybercab and robotaxi operations have expanded to Miami following the Austin launch, with rider profiles already collecting preference data. Voice-taught contextual instructions linked to individual rider profiles means a Cybercab could eventually know before it arrives exactly which entrance to use, where to wait, and how to navigate the final hundred feet of any trip it has made before.

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Tesla app update makes Robotaxi ownership make a lot more sense

Tesla’s app now shows a live indicator when your car is actively driving itself.

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A recent Tesla app update, released last week  (4.58.5), gives visibility on whether a vehicle is navigating in its semi-autonomous mode or being driven by a human driver. The updated app now displays a live “Self-Driving” indicator in bright blue text directly beneath the vehicle’s speed readout whenever Full Self-Driving is actively engaged, along with the signature glowing blue navigation path that FSD users see on the main touchscreen. It is a small visual update with meaningful implications for how Tesla owners monitor their vehicles remotely.

The feature was first spotted in the wild by X user Jordan Camina, who shared video of a Hardware 3 Model S displaying the new animation through the app while driving. That detail is significant because it confirms the update is not limited to newer HW4 vehicles. It works across hardware generations, and Tesla confirmed it will eventually support all vehicles regardless of chip platform once both the app and vehicle software are updated. The vehicle side requires software version 2026.20.6.1, which has reached nearly 40% of the fleet so far, as monitored by NotaTeslaApp.

The feature makes the most practical sense when viewed through the lens of Tesla’s expanding robotaxi operation. In a robotaxi context, the owner of a vehicle generating ride revenue has a direct financial and safety interest in knowing whether their car is operating under autonomous control at any given moment. The app’s new FSD indicator gives fleet owners exactly that visibility, the same way a logistics company monitors whether a delivery driver is following the planned route. It also carries implications for Tesla’s insurance model. Tesla’s own insurance product prices premiums in part based on FSD engagement rates, and real-time visibility into when FSD is active creates a feedback loop that could eventually tie directly into policy pricing. For individual owners who have opted their personal vehicles into the robotaxi network, the update effectively turns the Tesla app into a fleet management dashboard, one that tells you whether your car is earning money, whether it is driving itself to do it, and whether everything is operating the way it should from wherever you happen to be.

Tesla expands Robotaxi to Florida, marking its third state for autonomy

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As Teslarati has reported, Tesla launched unsupervised robotaxi rides in Miami this summer, a milestone that makes a remote FSD status indicator significantly more practical than a cosmetic feature. When a vehicle is operating as a robotaxi without a driver present, the owner or fleet operator needs a reliable way to confirm autonomy is engaged. The app now provides exactly that.

As noted by NotATeslaApp, The update also arrived alongside a hint buried in the same app version that Tesla plans to use the cabin camera to verify driver identity before FSD can be activated. Pairing identity verification with a live autonomy status indicator points toward the infrastructure Tesla is building for a fleet of driverless vehicles that owners can monitor the way you would track a package delivery.

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