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Tesla’s new social media manager used a sheep to land the job
Tesla has a new social media manager, and fans of the all-electric car maker were recently privy to the most important, very public part of the position’s hiring process in the form of a Twitter laugh challenge with CEO Elon Musk. Not many job seekers begin their journey to employment this way, but not many people inspire Musk to swap his profile picture for something they’ve posted on the internet, either. The new hire’s name is Adam Koszary, and he starts his new job in July.
If you follow Elon Musk closely on the platform (or are an avid Twitter user in general), you may recognize Koszary’s work as Programme Manager and Digital Lead for The Museum of English Rural Life (The MERL). More specifically, you’ve probably seen an Exmoor Horn aged ram (i.e., a big sheep) show up on your Twitter feed in various meme-type forms if not in its original glory: “look at this absolute unit.”
The phrase “absolute unit” is used online to jokingly refer to anything that’s large in size or stature relevant to its nature.
In April last year, The MERL shared its now-famous sheep photo and caption on Twitter, and the post went viral shortly thereafter. Fast forwarding to this year, MIT’s Technology Review Twitter account used a similar meme strategy to direct attention to an article it published about the first flight of Stratolaunch, the world’s largest aircraft. “Look at the size of this absolute unit,” MIT wrote alongside a link to the piece.
Musk later replied to MIT’s tweet with The MERL’s sheep photo, saying “I’m an absolute unit too.” He then changed his account profile picture and bio to reference the same sheep, and The MERL responded in kind by changing its Twitter photo to an image of Musk. The museum also changed its name to The Muskeum of Elongish Rural Life temporarily. Adam Koszary was apparently behind those clever jokes sent from The MERL’s account, and they’ve now earned him the new job with Tesla.
Providing a source of amusement for Musk isn’t the only hiring qualification Koszary has, of course. His work with the museum’s social media account brought in some serious results in terms of engagement with an online audience. Before the museum’s sheep tweet went viral, its Twitter account had around 9700 followers. Today, that count is up to 133,000.
Tesla and Musk’s position on product advertising is clear – they don’t do it. Keeping that in mind, hiring on a social media manager with a proven track record of audience generation looks to be a smart move for the brand. Also, it’s just fun to see in action. While Koszary’s position is said to start in July, Tesla’s corporate Twitter account has already been warming up its audience for his style of social media engagement.
Earlier this month, the car maker began tweeting with a notable level of wit, sass, humor, and tons of attitude not previously demonstrated. Rather than keeping to its usual professional tone and business-oriented subject matters, tweets and responses were suddenly sharp and sarcastic in ways reminiscent to how Wendy’s Twitter account handles its social media platform. The response to the change from Tesla’s audience was overwhelmingly positive, and by bringing Koszary on board, it looks like the new voice of the company is here to stay.
Koszary’s creds for social media management were further on display in a column he published on Medium last November wherein several points of advice were offered to any institution looking to repeat MERL’s type of success on Twitter or other platforms. “If you want people to have a conversation with you, you’re going to have to have a bit more personality. This doesn’t mean being funny. This means being more relaxed in how you address and discuss things with people so they feel like they’re talking to a real person,” he recommended in the piece. “Social media is social, so be social.”
Overall, if the Twitter affair with Elon Musk was Koszary’s interview for his new position as Tesla’s social media manager, his post on Medium could be considered a type of work sample attached to his resume. All things considered, the parties look like a good matchup for an amusing and engaging ride ahead for everyone.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
