December 31, 2019 held significance for Tesla, as it marked the end of another quarter. The day determined if the company could follow its momentum from Q3 2019 and turn in another profit. It also marked the final day when the $1875 federal tax credit could be applied. Yet, perhaps more importantly, the end of 2019 marked the day when Tesla potentially gained thousands upon thousands of new supporters and future influencers.
On New Year’s Eve, numerous dedicated Tesla owners decided to help out the electric car maker in its push to deliver as many cars as possible. Some provided orientations to new owners about the basic features and functions of their new electric vehicles. Others provided pointers about configuring their Teslas. Just like the past year, Tesla’s end-of-year deliveries were powered, at least to some degree, by regular owners who just happen to be passionate about their vehicles.
In Fremont, for example, large groups of people gathered on New Year’s Eve to take delivery of their cars. Unfortunately, the DMV caused a delay with issuing out license numbers, creating a backlog for many would-be owners. As the wait times turned to hours, Tesla owner-volunteers stepped up. Tesla Raj, a Model 3 owner who started a YouTube channel about his ownership experience, described how owner-volunteers contributed.
“We helped by pulling groups of people from the showroom to do orientations where we covered the car inside and out. This helped ease the stress and pain in the wait… Lots were very pleased that we were volunteering, and they were interested in who we are and why we were doing it. We had a member following customers to their car for 1-on-1 training, and I was in the lobby gathering groups of people for a walkthrough-orientation. They loved it. They felt a sense of the Tesla community and what we stand for,” Raj said.
True to his tweets, Tesla CEO Elon Musk also dropped by the Fremont site to help deliver cars to new owners. His mom, Maye, also paid a visit to the delivery center. Amidst all the waiting that resulted mostly from the DMV delay, Musk’s presence helped boost the morale of the Tesla employees. It also eased the patience of many owners looking to receive their cars. Arash Malek, a Model 3 owner-videographer who also volunteered his time on New Year’s Eve, described the atmosphere after the CEO’s arrival.
“Before Elon came, people were getting really frustrated. Some people had been waiting all day. But soon as Elon arrived, you could feel the energy change. I heard an employee behind me say, ‘This is why we love working for Tesla.’ It was pretty awesome and inspiring to see the CEO eager to help deliver cars. Raj and I along with other members of the (Tesla Owners) club were giving future Model 3 owners full tutorials on how to use their cars. Everyone was genuinely soo excited! I had some people ask me why am I volunteering to help on New Years’ Eve. I told them that if it was any other car company, I wouldn’t, but the Tesla community is so awesome that I felt honored to be able to help the mission,” Malek said.
Tesla would go on to deliver cars to new customers until the final moments of 2019, and reports from the community on social media suggested that deliveries happened even after midnight. Some have mentioned that their deliveries were pushed to the next few days as well. Yet, despite these challenges and tests of patience, the Tesla community did grow significantly on the 31st of December, and a lot of it was due to the thousands of volunteers who dedicated their time to help out newcomers to the Tesla community. Thousands, after all, saw a glimpse of the Tesla community and how it functioned, and that’s really what matters the most.
Seeing such a close-knit community of owners-enthusiasts and a driven CEO who spends a holiday with his employees is a pretty unique experience. Very few companies in the world have experienced something similar. The latest iPhones from Apple may invite long lines of waiting customers, but rarely does one see a longtime iOS user volunteering their time to help new owners with their devices. This is even more notable with other car brands. When was the last time avid Ford or GM enthusiasts volunteered at a dealership to help hand over cars? Such events would be difficult to recall.
From the Tesla volunteer-powered delivery push to Elon Musk’s contribution to the year-end deliveries, there is a good chance that a couple dozen of new owners in Fremont were inspired enough to be passionate community members themselves. Perhaps some would start their own Tesla-themed YouTube channels. Maybe some with start Tesla aftermarket businesses. Perhaps some will love their car enough to the point where they recommend Tesla to their close friends and family members. This is pretty much how the Tesla community has grown over the years. It’s just happening now at a far quicker rate, with the adoption of higher-volume vehicles like the Model 3.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
