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Tesla begins roll out of Autopilot Traffic Light and Stop Sign controls to early members
Tesla CEO Elon Musk has made good on his word to release the highly-anticipated Traffic Light and Stop Sign Control feature of Autopilot. Members of Tesla’s Early Access Program have begun reporting notifications of software release 2020.12.5.6, which includes the ability for Tesla’s Autopilot system to recognize and react to both traffic lights and stop signs. The feature appears to be the next step towards Tesla’s release of its “feature complete” Full Self-Driving suite.
It appears that Tesla is taking an extremely cautious approach with its Traffic Light and Stop Sign Control release, even if it’s only to members of the EAP. The release notes of the newly released feature indicate that vehicles will stop at each traffic light, including green, blinking yellow, and off lights. Drivers will be required to confirm the car’s navigation through traffic lights by pulling on the Autopilot stalk located behind the steering wheel or by pressing the accelerator.
https://twitter.com/TeslaLisa/status/1250729103143157760
Additionally, the feature will not complete turns through intersections. The function simply allows for safe navigation through intersections that are guided by traffic lights, an undoubtedly helpful feature that will likely be invaluable for inner-city driving, a key capability that’s needed for the release of a feature complete version of the FSD suite.
The feature is available for both Autosteer and Traffic-Aware Cruise Control. Both of these functions are available with Tesla’s current offering of basic Autopilot, which currently comes standard on all of the company’s vehicles save for the off-menu $35,000 Model 3 Standard Range.
The release notes for Traffic Light and Stop Sign Control (Beta) state:
“When Traffic-Aware Cruise Control or Autosteer is activated, Traffic Light and Stop Sign Control is designed to identify stop signs and traffic lights and automatically slow your car to a stop. When Traffic Light and Stop Sign Control is enabled, the driving visualization displays upcoming traffic lights, stop signs or road markings at intersections. As your car approaches an intersection, even one where a traffic light is green or off, your car will slow down and stop at the red line indicated. To continue through the stop line, push down the gear selector or briefly press the accelerator pedal to confirm that it is safe to proceed. As with all Autopilot features, you must continue to pay attention and be ready to take immediate action, including braking because this feature may not stop for all traffic controls.
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To enable, shift your car into PARK and tap Controls > Autopilot > Traffic Light and Stop Sign Control (Beta).
Note: Before this feature can be enabled, camera calibration may be required, and the latest version of Navigation maps must be downloaded via Wi-Fi. Please refer to the Owner’s Manual for additional details about this feature.”
A few weeks ago, Elon Musk was questioned about the developments of the Traffic Light/Stop Sign recognition features. Musk stated that Tesla was, “Hoping to roll out traffic lights & stops to wide US release in a few weeks & probably WW release in Q3 (so many variations in each country!). Very important to make sure this is done right.”
Tesla’s addition of the Traffic Light and Stop Sign feature will not only improve the company’s Autopilot and Full Self-Driving functions; it also moves the company closer to having a “feature complete” version of the FSD suite. The next few weeks of data compiled from EAP members will assist Tesla’s Neural Network in understanding driver behavior at traffic lights and stop signs, increasing the safety of the company’s electric vehicles and allowing for a possible wide release soon.
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.”
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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.
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.
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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.
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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.
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.
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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.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
