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Tesla’s proven anti-pandemic safety plan has fallen on deaf ears amid an anti-Elon Musk narrative
One of the most remarkable things that one can witness is the birth and spread of a narrative. Narratives are powerful, as they are capable of affecting and perhaps even changing the perception of people on a particular person or topic. Such a narrative is forming in the Tesla-sphere today: one that completely ignores a company’s proven efforts to battle the coronavirus, and one that brands the electric car maker’s CEO as a de facto villain that cares not for his employees.
Amidst the ongoing issues surrounding the reopening of the Fremont factory, Tesla publicly shared a Return to Work Playbook that it will be using to protect and prevent its workers from contracting the coronavirus. The strategies outlined in the playbook are modeled after the company’s efforts in Gigafactory Shanghai, which successfully battled the virus when it was ravaging China. Tesla’s Shanghai plant was barely affected by the pandemic, and it is back in full operations today.
Alameda County officials have not given Tesla the green light to resume operations in the Fremont plant, a factor that has resulted in heated online discussions between Elon Musk, TSLA critics and supporters, and local government officials. County officials argue that Tesla is yet to meet certain guidelines that would allow its formal approval to reopen the Fremont factory, but no details about these criteria have been released thus far. This has resulted in a rather sticky situation. The county says Tesla is not fulfilling safety guidelines, but it would not specify which.
Strangely enough, Alameda County has also not discussed which parts of Tesla’s Return to Work Playbook are inadequate. A look at the playbook shows several intensive safety protocols that the company will be adopting to prevent the spread of the virus. But even the existence of the playbook itself, and more importantly, its contents, do not seem to be acknowledged by representatives of Alameda County when they speak against the electric car maker’s intentions to reopen the Fremont plant.
CEO Elon Musk has ordered Tesla’s Fremont factory to reopen despite opposition from Alameda County officials. Musk even noted that if anyone were to be arrested due to the factory’s reopening, it should only be him. Such a move has triggered a wave of negative coverage on the CEO, with some articles claiming that Musk is “asking” to be arrested, or “daring” law enforcement to apprehend him. A narrative has also formed suggesting that Tesla and Musk are “forcing” Fremont’s employees to build cars without any regard for public safety. A report from The Washington Post even quoted a Fremont factory worker who reportedly stated that “we are extremely frustrated, angry, scared, that Elon is putting his cars before his workers.”
Such a narrative is compelling, of course, and it makes for a good story. Every tale needs a villain, and Musk, with his outspoken, controversial remarks about the ongoing lockdown, is the perfect target. What is missing from this narrative is the fact that Musk himself has been quoted time and time again, in both spoken and written form, that workers at the plant are not forced to come to work at all. “I’d like to be super clear that if you feel the slightest bit ill or even uncomfortable, please do not feel obligated to come to work. I will personally be at work, but that’s just me. Totally ok if you want to stay home for any reason,” Musk wrote back in March.
A look at the social media feeds from Fremont factory workers paint a much less controversial picture amidst the facility’s reopening as well. Inasmuch as mainstream reports today are running with a narrative that suggests Tesla is forcing employees to catch the virus or perish for the sake of Musk’s pockets, such sentiments do not seem universal for the company’s workforce. Some workers at the factory have noted that they appreciate that work is being resumed, and that the company is indeed following through with its stringent anti-pandemic strategies.
But such a scenario does not paint a narrative that is as compelling as a Machiavellian CEO forcing thousands of employees to perish for his personal profits. If Tesla is simply using a playbook that is tried and tested in Shanghai, and if workers are actually appreciative of the factory’s reopening, the anti-Elon Musk narrative gets lost. If there are no evil CEOs and mass numbers of employees being abused, Tesla’s Fremont facility becomes just a regular car production facility that is reopening its doors after a shutdown: one that is no different than car factories that are already open or are poised to reopen in the coming days.
Unfortunately, the draw of Musk and Tesla and their surrounding narratives are simply too tempting to ignore.
Tesla Return to Work Playbook by Simon Alvarez on Scribd
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
