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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.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
