News
Could Elon Musk tweet for all of eternity? Digital avatar technology could make it happen
Digital avatars are a blend of science fiction and our current reality, but where is that line drawn, really? Imagine the current minds behind today’s most promising technologies and businesses leaving electronic copies of themselves so that, rather than just existing in nostalgic memories, they could continue contributing to the global conversation for all of digital eternity.
That’s right. The tweets of Elon Musk wouldn’t just be archived for historic perusal. He’d still be tweeting (or opining on a similar platform) long after his great-great-great-grandchildren were graduating from high school on Mars.
Of course, that particular goal could likely be achieved with minimal coding effort utilizing a dataset of his public comments, but that’s not all digital avatar technology is proposing. Imagine being able to approach Elon for personalized business advice, his opinion on a proposed carbon regulation, or thoughts on the name of an off-planet colony, all without the real magnate (magnet?) being directly involved in the conversation – or even alive, for that matter.
MIT Technology Review recently published an article featuring Augmented Eternity, a company developing an application which will host digital personas based on its customers that can be interacted with posthumously. For example, a customer’s business persona could give advice on a corporate deal, and a private persona could be involved with family matters. Utilizing personal data analyzed by artificial intelligence to achieve its goals, Augmented Eternity isn’t the only business on the market for this kind of digital interactivity.
Eternime wants you to live forever as a digital version of your after you die. [Credit: Eterni.me]
The company Eterni.me describes its services as a collection of “your thoughts, stories and memories, curate[d] [into] an intelligent avatar that looks like you…[because]…we all pass away, sooner or later…eventually, we are all forgotten.” Another company with a focus on the living over the dead, ObEN, describes its product as “Personal Artificial Intelligence (PAI)” comprising “personalized digital avatars [that] look, sound, sing, and behave like you…capable of performing a variety of useful tasks.” With its product being a “verified intelligent 3D avatar…perform[ing] activities on your behalf”, ObEN takes direct aim at increasing present day productivity, i.e., benefitting the customer while they are alive.
Admittedly, the idea of storing personal data for use in an artificial intelligence environment isn’t a new one. The concept of creating an avatar embodying the personality of any person has at least been floating around since science fiction envisioned separating human minds from their bodies. One of the notable recent imaginings in entertainment of this concept was seen in the episode, “Be Right Back” from the British science fiction series, “Black Mirror”. In the episode, a widow is able to recreate her dead partner, first as a type of chat box, then a telephone personality, and finally a corporeal being, all by using data obtained via his public electronic records.
Another recent and compelling imagining of this scenario is found in the series, “Caprica”, wherein a teenage girl’s father uploads a sentient avatar of his dead daughter into an advanced robot. The sentience, perhaps, is the factor that makes the software most dangerous, and the avatar’s actions throughout the series confirm this concern. Danger and advanced artificial intelligence are two concepts that seem to come wrapped up in one another, and here we come full circle back to Elon Musk.
When asked what he sees about AI that others with less concern about its future do, Elon replied, “Smart people…define themselves by their intelligence and…they don’t like the idea that a machine could be way smarter than them, so they discount the idea…it’s the wishful thinking situation.” Having also posited that AI is more dangerous than nuclear warheads, there’s no mistaking his position that more care is needed towards the safety of its advancement.
Another major concern of Elon’s, however, is an extinction-level event which will end humanity, and this concern is part of what drives his and SpaceX’s mission towards colonization of Mars. Could digital avatars be a place where concerns and prospects find common ground? Aside from physically relocating part of humanity to another planet to ensure its long-term survival, encapsulating humanity in digital (smarter?) form as proposed by avatar companies might be another way to ensure the legacy of the species, not just individual customers.
Then again, if we’re all living in a simulation to begin with, digitizing our personas may just be completing the predicted circle of life. Stay tuned – the future of tech moves fast.
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:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
