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Tesla AI Day News Roundup: Optimus, FSD Beta & Dojo updates
Tesla AI Day has officially kicked off. Guests have started entering the venue already.
AI Day is an event mainly held to recruit talented people and welcome them to Tesla. However, it is still a Tesla event, so everyone expects some product surprises and updates, specifically about the company’s humanoid robot, Optimus, Dojo, and Full Self-Driving.
Teslarati will be closely following the event. This is our news roundup for 2022 AI Day, covering key information Tesla reveals at the event.
Photos and Videos aren’t allowed during the event from attendees. However, guests were able to capture some cool photos of a Tesla Semi with Cybertruck graffiti, a literal fork on the road, and some other cool set ups around the premises.
Tesla’s former AI Head, Andrej Karpathy, has brought out the (metaphorical) popcorn. His brief “comment” hints that AI Day 2022 might be as exciting as everyone anticipates.
Elon Musk set some expectations about Optimus, reminding everyone that during AI Day 2021, Tesla’s humanoid bot was just “a guy in a robot suit.” Musk also laid out the topics for AI Day 2022, saying that Tesla will talk about Autopilot and Dojo, too.
Optimus Takes the Stage
Tesla didn’t waste any time and brought out Optimus immediately. According to a Tesla mechanical engineer, AI Day 2022 is the first time Optimus has been “let out”– so to speak– without any external support.
“This is literally the first time the robot has walked on stage without a tether, on stage tonight,” Musk added. “The robot can actually do a lot more than we showed you. We just don’t want it to fall on its face.”




Tesla reveals videos of Optimus or in this case “Bumble-Cee” doing “work” around the Tesla office. Optimus carried a box from one area to another, watered plants, and even worked at the factory for a bit. The Tesla bot’s vision is very similar Autopilot.
Tesla also revealed Optimus’ potential final unit one production design. “Our goal is to make a useful humanoid robot as soon as possible,” said Elon Musk. The Tesla CEO also shared that Tesla aims to make Optimus’ price less than $20,000 or cheaper than a car.
Tesla is using some of the technology in its car in Optimus’ body as well, such as the battery pack, cooling system and more. The company also uses that same technology it uses for its cars to simulate Optimus’ movements and reactions to external collisions.

Tesla is basing Optimus’ body design on the human body. The company has been closely studying the structure of the human body while making the humanoid robot’s overall design. For instance, Tesla designed Optimus’ hands with the idea that factories worldwide are designed ergonomically, or optimized for the human hand. Teslarati briefly covered the significance of robots’ hands in a previous article, linked below.


FSD Beta Updates
The Tesla FSD Beta now has 160,000 customers, compared to 2,000 customers in 2021. Tesla is expected to release v.10.69.2.3 after AI Day, although a precise roll out date has not be announced yet.


Tesla explained the progress its made with Full Self-Driving Beta. The Tesla FSD experts explained how the Full Self-Driving makes decision to AI day guests and the role that customer data played to refine the software. The company also explained occupancy and the role it plays with 3D mapping and providing a birds-eye-view for the car. Tesla is working hard to optimize its video model training as well.






Tesla also talked a lot about its FSD Lane Networks during AI Day 2022. In the past few weeks, Teslarati has received reports from FSD testers, who specifically brought up issues with lane selection. To see “under the hood”–so to speak–somewhat explains the lane issues FSD testers experience on the road.
After multiple test loops and drives, there’s really just one main problem remaining for me at this point on 10.69.2, it’s significant, and that is lane selection,” noted long-time FSD tester Les.


Tesla has developed a new auto-labeling machine to help with 3D labeling. The FSD experts explained how the software uses other clips to fill out the picture under certain conditions when the camera shows an unclear picture.

Tesla also talked a bit about simulation. The experts showed how it could simulate worlds or environments, using the data gathered from its fleet. It revealed a simulation of San Francisco that was created within two weeks by one employee. Tesla may update a simulated world quickly and as updated develop.

Dojo Updates
Tesla’s goal with Dojo is to build a single accelerator. A key step to realizing its goals was its training tile, which it unveiled during AI Day 2021. Tesla has been trying to figure out how to make its Dojo design scalable and has run into challenges along the way. However, the company’s “fail fast” mindset has helped it push through road blocks and move forward.




The Dojo team showed images of a Cybertruck and Semi running on Mars using stable diffusion achieved through Dojo.

Tesla experts explained that Dojo reduced work that would usually take months to a single week.

Tesla plans to build its first Exapod by 2023, which is expected to significantly increase its autolabeling output . It will be the first Exapod of 7 that Tesla plans to build in Palo Alto.


Tesla ended AI Day 2022 by answering questions from attendees. Tesla hopes that through their thorough explanations during the event, the company would be seen as more than an automaker. And, of course, Tesla hopes that its AI Day 2022 presentation also entices talented individuals to join the company.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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Tesla improves Dashcam playback with awesome addition
Tesla has improved Dashcam playback with an awesome new addition, as the company has launched a web-based version that is potentially easier to navigate and operate.
The tool is available at dashcam.tesla.com and will be enabled as your vehicle receives the 2026.20 Software Version. Clips that are captured by your Tesla will be available on the Online Dashcam Clip Viewer once the files on your car’s storage drive are encrypted.
Not a Tesla App first noticed the new feature, and states that once your Tesla updates to 2026.20, the car will automatically protect the clips with an encryption key that is uniquely tied to your owner account.
Tesla Launches New Web-Based Dashcam Viewer https://t.co/AlJKXYxujJ pic.twitter.com/4igicYpvkX
— Not a Tesla App (@NotATeslaApp) June 2, 2026
The web-based viewer should be easier to operate for most. All you will do is head over to dashcam.tesla.com and log in using your account credentials.
Ensure your vehicle is updated to 2026.20 in order for the web-based viewer tool to fetch your vehicle’s saved dashcam clips.
Currently, only a small percentage of owners are updated to this, so it may be a couple of weeks until a majority of owners in the fleet are able to access this feature.
Watching Dashcam clips on the Tesla smartphone app is quick and convenient, as they can also be easily downloaded and stored right on your smartphone.
However, the clips are sometimes tougher to navigate, and in order to get details like self-driving activation, speed, and turn signals, owners have to screen record the Tesla app and crop out the rest of the screen.
It could also be a massive storage saver as you’ll be able to download the Dashcam clips from the online viewer and save them to your laptop, desktop, a flash drive, or even an external hard drive. This will keep all your clips in one place.
News
Tesla Full Self-Driving attempts 150-mile stress test: the good and the bad
I recently took my Tesla Model Y running Full Self-Driving (Supervised) v14.3.3 over 150 miles on the Pennsylvania Turnpike in an effort to truly put the system under a stress test. There were a lot of good moments, and some bad, but overall, Full Self-Driving impressed me.
Last Thursday, I decided it was time to visit the Flight 93 National Memorial near Shanksville, PA. I go a few times a year, and it was a beautiful day. Others have taken some pretty lengthy drives using FSD, but I haven’t had the opportunity to really do something lengthy in quite a few months on an older version. I decided it was the perfect opportunity to try some things out.
I recorded the entire ride there on a GoPro, edited to highlight the crucial moments, and shared them on our social media accounts. If you want to watch them, I’ll share them throughout the piece, but I did not get to do a real breakdown of what I felt about its performance.
Overall Thoughts
I realize it is probably better to do a summation of its performance toward the end of the piece, but I feel like it is also reasonable to lead with this because I was overly impressed with how well it handled everything. The only moments where I felt a little bit of reason to touch the wheel, at least while traveling on the Turnpike and Rt. 30, were due to other drivers and their behaviors.
I have taken many drives to the Memorial over the past several years, and although it’s not incredibly long, it is a tiring drive. It’s about five hours both ways, close to 300 miles, and I think most of the exhaustion comes from the toll of sitting in the car and then visiting something that is pretty heavy to take in.
This was the first time I’ve ever taken the ride and not felt like I needed to avoid my vehicle after I got home. In the past, I could not even think about driving after I finally arrived at my house, but this was simply different.
It was nice to have something else take the drive for me, while I still had the freedom to take over if I chose to. It made the entire trip more enjoyable.
Full Self-Driving Recognizes Lane-Ending Arrows on Road
After traveling in the fast lane for a little while, FSD noticed the arrows on the road indicating the lane was coming to an end ahead. The car was also in the process of making a pass on a slower vehicle in the middle lane, but aborted this maneuver and backed off to get behind the vehicle.
I was really impressed by this because I thought that the car would absolutely try to make the pass, only to get in front of the other car, and then slow back down to 75 MPH:
WATCH: Tesla Full Self-Driving v14.3.3 recognizes lane-ending arrows, aborts pass of slower traffic, and gets in line https://t.co/1dxvTOw5Cn pic.twitter.com/SOpuj9ZHyP
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Notices Veering Tractor Trailer, Adjusts Lane Positioning
My two rules of the road are never cruise in the fast lane and never drive next to a tractor-trailer. This clip is a perfect example as to why.
FSD v14.3.3 recognized this tractor-trailer attempting to change lanes while we were still next to it. The car shifted its lane positioning to the shoulder slightly to make room for the merging semi, executed the pass safely, and on we went.
I will admit this one made me a little nervous, but more so because of the 18-wheeler, and not because of the Tesla:
WATCH: Tesla Full Self-Driving v14.3.3 notices tractor-trailer veering into lane, shifts lane positioning to create space, completes pass safely https://t.co/1dxvTOw5Cn pic.twitter.com/E35UrP79CH
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Follows the Rules of Tunnel Travel
Many people who are not familiar with Full Self-Driving and its capabilities are pretty limited in what they know about the really simple things it does well. Part of supervising FSD is being aware of things it might make mistakes with, and anticipating maneuvers it might want to make at the wrong time.
Entering the Blue Mountain Tunnel on the Turnpike, I was ready for FSD to attempt to get back into the right lane after making a pass on a tractor-trailer, but I was pleasantly surprised. Several signs outside the tunnel advise drivers to stay in the lane they’ve chosen while driving through the tunnel; this eliminates the possibility of an accident caused by lane changes, which would impede traffic on a crucial logistics route.
I was happy to see that Tesla Full Self-Driving v14.3.3 did not make this mistake:
WATCH: Tesla Full Self-Driving follows rules of tunnel travel, recognizes double lines, and does not change lanes https://t.co/1dxvTOw5Cn pic.twitter.com/L6eEP5bCE9
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Navigates Toll Plazas with Ease
I was interested to see how FSD would handle toll plazas, including the speed at which it would travel through them, and whether it would stop on the Turnpike at these booths, which have since been transitioned to a “Toll by Plate” system, which mails you a bill.
It was flawless:
WATCH: Tesla Full Self-Driving v14.3.3 seamlessly handles toll plaza, smoothly merges back onto Turnpike https://t.co/1dxvTOw5Cn pic.twitter.com/XmwY7rkj9J
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Still Struggles with Parking from Time to Time
Since I took delivery in late August, I’ve never had a single instance of my Tesla struggling to park at a Supercharger. Other spots at the mall, market, or gym are another story.
This was the first time it did such a terrible job of backing into a spot. This required me to take over and manually park at another charger:
Tesla Full Self-Driving v14.3.3 had trouble backing into the Fort Littleton, PA Supercharger, even though it was the only vehicle there.
This required manual parking. https://t.co/1dxvTOw5Cn pic.twitter.com/7xgqH2Z0ye— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Gets Confused After Arriving at Its Destination
This was the first time I have ever experienced FSD getting confused and just circling the lot. The navigation continued to reroute to try to resolve the issue, but after four laps, I decided it was time to overtake the car’s controls and park manually:
Experienced the same thing a few days ago
I think one of the big features a lot of people would appreciate is parking preferences or spot selection https://t.co/RCVwUOMxoY pic.twitter.com/U9f1wW2np9
— TESLARATI (@Teslarati) May 31, 2026
This was a baffling behavior that I truly couldn’t explain. Other owners communicated that they have also experienced this issue.
Final Thoughts
I am so incredibly impressed by FSD that it has really made traveling stress-free. The two issues related to parking were not ideal, but to be fair, I usually take over when arriving at parking lots. However, this shortcoming is something Tesla has to make some serious progress with, because parking has truly stumped FSD at times.
Solving that will be a major breakthrough for autonomy, but Tesla has struggled with it for some time.
All in all, FSD v14.3.3 is unbelievably accurate and handles many of the more stressful maneuvers with ease, one of them being avoiding merging traffic on highways, which was shown above.
Some things that would be great to see improvements on are parking, Speed Profiles, which are relatively tough to adjust (I stayed in Standard for the duration of this drive), and, of course, navigation.
Elon Musk
SpaceX’s amended S-1 is sparking a major Tesla merger conversation
A single line in SpaceX’s amended S-1 just sent Tesla stock down 5% in one day.
A single line buried in SpaceX’s amended S-1 filing is doing more to move Tesla’s stock price than anything Tesla itself has announced in months. The clause, disclosed as SpaceX prepares for what could be the largest IPO in Wall Street history, states that the company “may issue a significant amount of equity in connection with future transactions.” While this may be seen as boilerplate language in S-1 filings, the historical ties between SpaceX and Tesla, and with Elon Musk reportedly discussing a possible merger with close colleagues, investors are interpreting it as something closer to a signal.
The concern among institutional investors like Gary Black, managing director of The Future Fund, pointed directly to the amended filing on X, saying it “strongly suggests more SPCX equity will be issued,” which could potentially be used to acquire Tesla. He estimated such a deal could be 28% dilutive to Tesla shareholders since SpaceX would likely command a significantly higher valuation multiple. Black added that institutional investors he knows hate the idea of a combination because they prefer pure plays over conglomerates, which he said “nearly always gravitate to the lowest common multiple.”
The Tesla and SpaceX merger everyone is talking about is quietly building
The bull case runs the math differently. Tesla influencer and retail shareholder advocate AleXandra Merz pushed back on what she called a widespread misunderstanding of how merger-of-equals deals actually work. Rather than simply splitting the difference between two market caps, a merger exchange ratio is negotiated based on relative fair market values, meaning the lower valued company typically sees its stock reprice upward toward the deal value.
Under her model, SpaceX enters at a $2.5 trillion valuation and Tesla at $1.6 trillion, producing a combined entity worth $4.1 trillion split evenly between both shareholder groups. That implies Tesla’s side of the deal would be valued at $2.05 trillion, a gain of roughly $450 billion from its current market cap. She cited Dow-DuPont and CBS-Viacom as historical examples of how markets reprice both companies toward the announced exchange ratio after a deal is unveiled.
What does a Merger of Equals mean to Elon’s compensation packages?
Well, it changes everything.
Enjoy https://t.co/uekCldyITw pic.twitter.com/kolq1C9qTu
— AleXandra Merz 🇺🇲 (@TeslaBoomerMama) June 1, 2026
The SpaceX S-1 amendments also revealed just how much financial infrastructure already binds the two companies together. As Teslarati has reported, SpaceX purchased $697 million in Tesla Megapacks, $131 million in Cybertrucks, and the two companies have shared supply chain resources, and semiconductor fabrication plans since well before any merger conversation became public. A retail poll by Tesla influencer Sawyer Merritt is finding that 36% of respondents do not plan to buy SpaceX shares at IPO and 15.3% saying their decision depends on the valuation.
Do you plan on buying @SpaceX stock at its IPO?
— Sawyer Merritt (@SawyerMerritt) June 1, 2026
Whether the merger happens or not, the amended filing is seemingly moving markets and sharpened a debate that is no longer theoretical. SpaceX is weeks away from trading publicly, and Tesla shareholders are now watching every word of every filing for clues about what Musk plans to do next.