News
Tesla’s new Lane Departure Avoidance feature will steer owners out of harms way even without Autopilot
Tesla has introduced two new active lane monitoring features designed to help prevent drivers from unintentionally leaving their lane of travel as part of its safety-first mission to reduce vehicle accidents. The two features, named ‘Lane Departure Avoidance’ and ‘Emergency Lane Departure Avoidance’, are derived from Autopilot, yet work while it’s not on, and are being rolled out to all Model S, Model 3, and Model X customers worldwide with vehicles built after October 2016.
The Lane Departure Avoidance feature is an extension of Lane Departure Warning and applies corrective steering to keep drivers in their intended travel lane if a departure is sensed without a turn signal. It also monitors whether a driver’s hands are detected on the wheel and sends a series of reminders and alerts if not, similar to the warnings issued to Autopilot users. Additionally, if Traffic Aware Cruise Control is in use and hands are not detected on the wheel, the car will gradually slow down 15 miles below the speed limit or car’s set speed and turn the hazard lights on. The feature is optional and works between 25 and 90 mph.
Emergency Lane Departure Avoidance is automatically enabled and is designed to return a Tesla vehicle back to its original lane if a departure and an imminent collision are detected. The automatic steering will also come into play if the car is nearing the edge of a road. This version of Lane Departure Avoidance is turned on at the beginning of each drive and can only be turned off via the Autopilot Controls menu for single drives.
Tesla’s safety data indicates that these types of features may be effective for preventing accidents when Autopilot is not in use.
A blog post on Tesla’s recent Lane Departure Autopilot security features was published, a copy of which can be found below:
More Advanced Safety for Tesla Owners
The Tesla Team May 2, 2019
While no car can prevent all accidents, we work every day to make them less likely to occur. The massive amount of real-world data gathered from our cars’ eight cameras, 12 ultrasonic sensors, and forward-facing radar, coupled with billions of miles of inputs from real drivers, helps us better understand the patterns to watch out for in the moments before a crash.
As our quarterly safety reports have shown, drivers using Autopilot register fewer accidents per mile than those driving without it. That’s because Autopilot is designed to reduce fatigue by helping drivers stay in their lane, while also ensuring that they keep their hands on the wheel. While lane-keeping and hands-on monitoring can be extremely effective at helping to reduce the likelihood of an accident when Autopilot is in use, we believe that these precautions can also be extremely effective for preventing accidents when Autopilot is not in use.
Today, we’re introducing two new safety features designed to help prevent drivers from inadvertently departing their lane, which our data shows is a common cause of accidents when Autopilot is not in use. These new features – Lane Departure Avoidance and Emergency Lane Departure Avoidance – help drivers stay engaged and in their lane in order to avoid collisions.
Lane Departure Avoidance
Lane Departure Avoidance lets a driver elect to have corrective steering applied in order to keep them in their intended lane. When the feature is in use and a driver is departing a lane without their turn signal on, the car will also check to see whether a driver’s hands are on the wheel. If a driver’s hands are not detected on the wheel, the driver will receive a series of hands-on reminders and alerts, similar to the ones that our cars provide to customers who use Autopilot. If a drivers’ hands are repeatedly not detected on the wheel when Traffic Aware Cruise Control is in use, their car will gradually slow down to 15 miles below the speed limit or below the car’s set speed, and turn its hazard lights on.
This feature can be turned on or off, and works at speeds between 25 and 90 mph. It is an extension of Lane Departure Warning, which already warns drivers through a steering wheel vibration if they begin to drift out of their lane without their turn signal engaged.
Emergency Lane Departure Avoidance
Emergency Lane Departure Avoidance is designed to steer a Tesla vehicle back into the driving lane if our system detects that it is departing its lane and there could be a collision, or if the car is close to the edge of the road. This feature will automatically be enabled at the beginning of every drive, but can be turned off for a single drive by going to the Autopilot Controls menu.
At Tesla, improving safety is our primary goal, even after a customer purchases their car. That’s why we’re introducing these features beginning today via a free over-the-air software update, starting with Model 3 owners and gradually expanding to all cars that were built after October 2016. This is just another way that we are helping to protect Tesla drivers and passengers, and others on the road, every day.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
News
Tesla headlights cause recall of over 20,000 Model 3 and Model Y
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
