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Tesla Model 3 gets Full Self-Driving HW3 upgrade: Full details with lessons learned

(Credit: Tesla Joy/Twitter)

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True to Elon Musk’s expectations on Twitter last month, it appears that Tesla is now looking to ramp Hardware 3 retrofits for owners who purchased the Full Self-Driving suite and whose cars are equipped with HW2 or HW2.5. A recent account involving a Tesla owner-enthusiast’s experience with her Model 3’s HW3 upgrade shows that there are still some areas in the retrofit process that can be improved. 

Tesla Model 3 owner-enthusiast TeslaJoy was looking to do a video on the company’s recent voice command update when she noticed that the feature on her vehicle was not working properly. This prompted her to make an appointment with Tesla to get her car checked in and fixed. During the troubleshooting process, she inquired if a possible HW3 retrofit could be done to her vehicle as well. Fortunately, a HW3 unit was available for her Model 3, and so, a rather eventful upgrade process began. 

Tesla Service Centers currently receive batches of HW3 units from the electric car maker, and each unit is assigned to a specific VIN. This is the reason why for now, at least, owners are not advised to call Tesla to schedule a HW3 retrofit. Fortunately for Joy, the Tesla Service Center opted to perform the HW3 upgrade at the same time as her appointment, since she would need to bring her Model 3 back for a retrofit anyway.

(Credit: TeslaJoy/Twitter)

Since the retrofit was estimated to take around 5 hours, Tesla asked the Model 3 owner to leave her car for the day and claim it the next business day. That was December 31, which meant that the vehicle should be ready the day after New Year’s. As it would turn out, the Service Center would end up encountering difficulties installing the necessary firmware on Joy’s Model 3. This resulted in delays, which culminated in the vehicle’s HW3 retrofit being completed on January 5, 2020, over five days after the Model 3 owner turned in her car. 

Hardware 3 retrofits are available for owners who have purchased Tesla’s Full Self-Driving suite, and whose cars are still equipped with the company’s HW2 and HW2.5 units. With Hardware 3 installed, owners will be able to utilize the full suite of FSD capabilities that the company is rolling out today. One of these is the FSD preview that Tesla rolled out for the holidays, as well as features like traffic cone recognition. 

True to Elon Musk’s words on Twitter, the HW3 retrofit is free for owners who have purchased the company’s FSD suite. Joy, for her part, was able to get FSD last March at a discounted price of $2,000 on top of her Enhanced Autopilot. FSD currently costs $7,000 when it is included in a new vehicle’s order. 

Based on Joy’s experience, it appears that owners should expect to wait some time for their vehicles are set to be retrofitted. In the Model 3 owner’s case, her car’s upgrade ended up taking days since the first HW3 kit that was installed did not function properly. This resulted in the vehicle essentially getting retrofitted twice, causing delays. Tesla did give Joy a $500 Uber voucher due to the absence of loaner vehicles, but the whole experience showed notable points for improvement nonetheless. 

In a way, TeslaJoy‘s experience with her Model 3’s HW3 retrofit stands in stark contrast with the experiences of Model S owner Sofiaan Fraval, whose car was upgraded by a Service Center during a voluntary HEPA replacement. In Fraval’s case, his Model S was fully retrofitted within a matter of hours, and it was calibrated in pretty much the same day. A Tesla Model S owner who runs the Electric Dreams YouTube channel also received his vehicle’s HW3 retrofit without any issues, and it was performed by a mobile technician, not a Service Center. 

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In the Electric Dreams host’s case, the entire HW3 retrofit was conducted from the convenience of his home, with a mobile service tech coming over in the morning, taking an hour and a half for the installation to be completed, and an additional two hours for the necessary firmware to be loaded onto the vehicle. This is in line with Elon Musk’s previous statement on Twitter, where he stated that HW3 retrofits should be possible through Tesla’s mobile service fleet

Overall, there seems to be a variance with regards to the experience of owners when getting their vehicles retrofitted with Tesla’s FSD computer. Some owners seem to be experiencing a seamless, painless process, while some, like Joy, end up having to test their patience. Hopefully, as Tesla ramps its HW3 retrofits this quarter, the company could work in optimizing its upgrade process, so there are more experiences like the Electric Dreams host’s, and less like TeslaJoy‘s. 

Watch TeslaJoy‘s HW3 experience in the video below. 

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 quietly made the Cybertruck even stronger

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Credit: Tesla

Tesla has continued to flex the strength, rigidity, and robustness of its all-electric pickup, the Cybertruck. In fact, since 2019, Cybertruck’s ability to avoid dents, dings, and even gunfire has been one of the main selling points Tesla has used to attract buyers who are looking for a vehicle that can handle the most intense challenges.

But that does not mean Tesla is not still actively trying to make it even better.

In a new hardware update, Tesla has decided to change the material of the Cybertruck’s underbody panels from aluminum to carbon fiber, a move that aims to not only increase pricing efficiency but also improve strength.

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Cybertruck Lead Engineer Wes Morrill confirmed the change was made to the Cybertruck recently after it was spotted by Coleton Guerin of Out of Spec. This particular trim level was a Cyberbeast, but it is being applied to all trims to keep supply chain efficiency high and have less variance across trim levels.

Morrill said that Tesla tested different materials for the underbody panel protection, and carbon fiber performed better than aluminum, which is what the company was using since its first deliveries in 2023.

Additionally, there are some efficiency improvements because Tesla can better form the areas around the bolts to keep underbody airflow cleaner than previously.

Carbon fiber is traditionally lighter and more durable than aluminum, which is why it is such a popular material among luxury automakers, and EV makers will utilize some of the materials around battery packs to save weight.

This is the first instance of Tesla utilizing carbon fiber on the Cybertruck’s exterior to help with overall performance and strength. As previously mentioned, Tesla used aluminum to protect the underside of the body, but it is pretty typical for the company to continue making engineering changes that will improve the car in the future.

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Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

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Credit: Teslarati

Tesla released Full Self-Driving version 14.3.7 yesterday, and after about 90 miles of testing today, it is evident there are some definite fixes from version 14.3.6, which I wrote about last week and called a regression.

Within the first 40 minutes of my drive on v14.3.7, it saved me from getting into an accident with an unaware Dodge Charger driver, and some of the things Tesla seemed to miss in v14.3.6 were definitely improved. All in all, the release so far has some really great performance, and I’m looking forward to testing it further.

For now, here’s everything I noticed with v14.3.7:

Overall Improvement

Just generally speaking from a ride perspective, this was a really great experience. A lot of the hesitancy I experienced on v14.3.6 was gone. There were no instances of brake-stabbing, wheel-jerking, or any uncertain or unconfident movements. It was void of anything that I felt made it timid with v14.3.6.

The one thing I do hope to see down the road is a smaller need to adjust Speed Profiles so often. Because Tesla calls FSD “Supervised,” I’m okay with needing to hit the scroll wheel a few times a drive.

However, I hope that things can be incrementally improved upon with speed. Sometimes it’s too fast; other times it’s too slow. It’s a difficult thing to hone in and refine, but I hope it eventually gets there.

I didn’t notice any significant left lane camping or any behaviors that were completely out of line. I am hopeful that this opinion does not change, but after driving a few days with this version and putting it in a variety of different situations, you are exposed to more behaviors, some of which are not necessarily what I’d prefer.

The big things to notice, at least in my experience thus far, are that the major issues with previous versions — meaning the braking stabbing and wheel jerking — simply weren’t there. That’s enough to already consider this progress compared to .6.

Manual Signal Override is More Responsive

On .6, I had quite a few issues with FSD ignoring my manually input turn signals. If Tesla wants to call it “Supervised,” then the car should not ignore any input the driver gives. If I touch the accelerator on FSD, the car speeds up.

The car did a great job of obeying my turn signals when I wanted it to change lanes, which is welcome.

Parking Lot Performance

Before .6, I traditionally took over in nearly every parking lot my car entered, because I knew it would not park somewhere that I wanted, and usually, it was just a tad too timid in this setting.

The one bright spot of .6 was how well it handled parking lots. This continued with v14.3.7:

 

I’m always really happy to see progress at all, but once parking preferences come to FSD, as long as this performance is still around, that could potentially be the biggest improvement I’ve seen in FSD in the year I’ve been using it personally on a daily basis.

Full Self-Driving Averts Disaster

A Dodge Charger changed into my lane without checking if I was there, running me off the road. FSD made the initial avoidance maneuver; I grabbed the wheel out of instinct, looked in my side mirror to ensure I had nobody following closely behind, hit the brake, and straightened the car back up to avoid a curb:

There have been quite a few responses to this video stating that I should never have grabbed the wheel. To be honest, I really wish I had not done so, because I do believe FSD would have avoided any sort of collision with anything, including the car or the curb.

However, this was the first time I had ever been this close to being hit while using FSD. My natural reaction was to take over. I think if I had had something like this happen before, my reaction might have been different.

Hitting the brake avoided hitting the curb, while FSD swerved to avoid the car. My concern after the car was clear of my front end was the curb. All in all, I’m really happy with how things turned out, and I think anyone could be a critic of how I handled it. I only had a split second to really make a decision, and thankfully, any damage was avoided.

It is clear FSD managed to avoid the car coming down before I was able to. I truly credit FSD for avoiding the collision.

What Needs to Improve

Better Recognition of Potholes, Uneven Roads, Sharp Changes in Roadway/Bumps

On Friday, my Fianceè and I were in the car, and FSD was driving us. We crossed over a roadway that has a traffic light, and FSD was traveling at 40 MPH on Standard, 5 MPH over the speed limit. Everything was more than reasonable.

However, the road we were crossing at the light has a major bump both as you start and finish crossing it. Without a speed reduction, your car can go airborne. The Tesla did just this on Friday on v14.3.6; it was an uncomfortable bounce that pretty much confirmed I would not ever let FSD go over again unless we were sitting at that intersection when there is a red light.

I even tried scrolling down into Sloth quickly, but I ended up just taking over:

A few people have said it remains related to the vision-based approach and its difficulty comprehending 3D. This is a huge issue because this can cause serious damage at certain speeds.

Navigation

Nothing new here. I still turn off “Online Routing” quite frequently to get the car to take logical routes from time to time.

Auto Wipers

Auto Wipers are just plain bad. I really hope Tesla just uses a rain sensor. I thought they had improved at one point, but I still get dry wipes, Speed 4 on a drizzle, and Speed 2 on a steady rain. In reality, these should be switched.

You can watch our full review of Tesla Full Self-Driving v14.3.7 below:

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SpaceX’s biggest test yet arrives this week and it’s not a rocket launch

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SpaceX will report second quarter results after the market closes on Tuesday, August 4, marking the first time the company has opened its books to the public since its record IPO in June. Management will host a live audio only webcast at 4:30 p.m. ET, streamed on X, with no dial in option.

The debut carries more weight than a typical first quarter as a public company. Two trading days after the release, on August 6, the first tranche of SpaceX’s lockup expires, freeing roughly 911.5 million insider and employee shares, worth well over $100 billion at current prices and the largest such release in Wall Street history. A second, larger tranche tied to the stock trading 30 percent above its $135 IPO price never triggered, since shares have spent most of July trading below that price.

Wall Street’s models point to revenue near $6.9 billion for the quarter, up sharply from the $4.69 billion SpaceX reported in the first quarter, with a narrower per share loss than the $1.27 posted three months earlier, according to estimates compiled by Motley Fool. Those numbers will be the first look at how SpaceX’s three segments, Starlink, launch and AI, are performing independently.

SpaceX scores another massive Pentagon deal to support military satellites

Investors heading into the call have a specific list of questions. How many net new Starlink subscribers did SpaceX add after ending March with 10.3 million, and is average revenue per user holding up as the service expands into lower income markets. How much of the AI segment’s revenue reflects contract signings with Anthropic, Google and Reflection AI this year, deals that combined could annualize to nearly $28 billion if fully ramped. Whether capital expenditures, which nearly doubled in the AI segment alone between 2024 and 2025, are still accelerating or starting to plateau. And whether management offers any forward guidance at all, something SpaceX has never done publicly.

The report will also land days after Elon Musk publicly denied a Wall Street Journal report describing internal planning to separate Tesla’s China business ahead of a potential Tesla-SpaceX merger. Whether Musk or SpaceX executives address that speculation on the call, even indirectly, maybe something investors will be listening for on Tuesday.

As Teslarati reported after Musk’s own warning to short sellers last week, the CEO has made clear he expects skeptics to be proven wrong over time. Tuesday will be the first chance for the numbers themselves to make that case.

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