In an announcement at a meeting with the Nevada Board of Education last Thursday, Tesla officials stated that it would be issuing an initial grant of $1.5 million to the state’s K-12 education system. The donation is the first part of a $37.5 million grant that Tesla is set to roll out for the next few years, as a means for the company to help develop STEM talent within the state.
According to Nevada Gov. Brian Sandoval, Tesla’s grant, which would be released on a quarterly basis, will give students more access to specialized fields of study such as Science, Technology, Engineering, and Math (STEM). In a statement to the Nevada Appeal, Tesla CTO JB Straubel stated that the electric car maker and energy company expects STEM jobs in the state to increase over the coming years.
“The demand for STEM jobs in Nevada will continue to grow dramatically over the next few years,” Straubel said.
Tesla selected the recipients of the initial $1.5 million grant together with teachers, business leaders, and Nevada government officials. The first round of recipients includes $315,550 to FIRST Nevada and $127,100 to Robotics Education and Competition Foundation, which would allow schools to establish premier robotics programs. $263,924 will also be given to the DRI at UNR as well, to develop teacher training programs on robotics and STEM.
The Envirolution, Inc. is set to receive $262,700, which would enable the institution to develop a STEM program that focuses on energy sustainability, as well as projects that push energy efficiency to local Nevada schools and businesses. $200,000 will also be granted to Jobs for Nevada Graduates for the development of mentoring and employability skills. Sierra Nevada Journeys is set to receive $154,083 to implement programs that would foster interest in STEM fields at an early age. The grant will also be used to provide 250 scholarships for students in underserved communities, where qualifying individuals could attend overnight learning programs.
Lastly, $76,643 will be granted to Energetics Education for a pilot Solar Rollers program in Washoe County, which would challenge high school students to design, build, and race solar-powered radio-controlled vehicles. An additional $50,000 each at Washoe and Clark school districts will further be distributed to expand special assignment roles in Career and Technical Education offices.
Tesla’s grant to Nevada’s education system was outlined in the company’s documents from October 2014. As noted by auto journalist Bozi Tatarevic on Twitter, Tesla’s donations for the state’s education system is part of Gigafactory 1’s incentive package. In the filings submitted by Tesla then, the electric car and energy company pledged to make direct contributions to the state’s K-12 programs, together with a $1 million grant to fund advanced battery research at the UNL, as well as a pledge to support the state’s the veterans.
“Tesla will make direct contributions to K-12 education of $37.5 million beginning August 2018; grant $1 million to fund advanced battery research at UNLV; prioritize the employment of Nevadans and Veterans.”
Tesla takes part in this year’s Introduce a Girl to Engineering Day. [Credit: Tesla]
As noted in Tesla’s Gigafactory incentive deal, the battery facility is expected to increase regional employment by 10%, with a total economic impact of around $100 billion. This economic impact is expected to increase Nevada’s regional GDP by 20%. The Gigafactory is also estimated to generate around $1.9 billion in total financial impacts.
Tesla’s Gigafactory in Nevada is tasked with the production of the battery packs and drivetrains for the Model 3, the company’s first attempt at a mass-market electric car. Over the past year, Gigafactory 1 has largely grown from within as Tesla continued the production ramp of the electric sedan. This past Q2 2018, reports emerged that robots and additional machinery from Tesla Grohmann Automation in Germany were transported by air from Europe. The robots were reportedly installed at the Gigafactory to enable Tesla to address production bottlenecks in the Model 3’s battery module line.
Despite its already massive size, Gigafactory 1 is less than 30% complete. Fully built, Gigafactory 1 will be the world’s largest building by physical footprint, covering 13 million square feet.
A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.
This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.
The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.
Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:
Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.
But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:
And this is how the side camera and washer look like on a Cybercab. This is from an Engineering vehicle in Peabody MA. pic.twitter.com/Re8VknpmLM
— Tobias Goebel (Unsupervised) (@tpgoebel) June 17, 2026
This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.
For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.
Without it, even the most advanced neural nets struggle when their “eyes” are compromised.
What Does This Mean for AI4 Cars?
This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:
Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys
As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.
As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.
Elon Musk
Elon Musk just upped his Tesla stake further fueling SpaceX merger conversation
Elon Musk just collected a $116 billion Tesla payday and the timing is eye-opening
Elon Musk quietly collected one of the largest single-transaction paydays in corporate history on Monday. A Form 4 filed with the SEC on June 17, 2026 disclosed that Musk exercised 303,960,630 Tesla stock options from his 2018 compensation package, with the transaction dated June 16. No shares were sold on the open market.
The numbers are straightforward but striking. Musk exercised the options at a split-adjusted strike price of $23.34, with Tesla closing at $404.66 that day, putting the spread at $381.32 per share and generating roughly $115.9 billion in paper gains in a single transaction. To cover the exercise cost, Tesla withheld 17,531,857 shares through a net share settlement, meaning Musk paid nothing out of pocket.
For perspective, in 2018, Elon Musk’s award was originally approved by Tesla shareholders on March 21, 2018, and structured entirely around performance milestones that many analysts at the time called unreachable. Every tranche eventually vested. The original grant covered 20,264,042 shares at $350.02, which after Tesla’s 5-for-1 split in 2020 and 3-for-1 split in 2022 adjusted to 303,960,630 shares at $23.34. A Delaware court rescinded the award in January 2024, ruling the board was conflicted. As Teslarati reported, Tesla shareholders voted to ratify the package anyway in June 2024 by a wide margin. The Delaware Supreme Court reversed the decision in December 2025, finding full cancellation too extreme, and Tesla’s board signed an Implementation Agreement on April 21, 2026 to formally deliver the shares.
The Tesla and SpaceX merger everyone is talking about is quietly building
The timing and structure of the Form 4 filing carries more weight than a routine stock option exercise typically would. Musk exercised his 2018 Tesla award on June 16, a week into SpaceX completing its IPO and trading publicly, and giving SpaceX a public market valuation and share currency for the first time in the company’s history. A stock-for-stock merger between two companies requires the acquiring entity to have tradeable shares it can offer to the target’s shareholders, and SpaceX now has exactly that. At the same time, Musk just increased his direct Tesla voting power to approximately 20%, giving him greater influence over any shareholder vote that a merger would require. The restricted shares he received cannot be sold until 2033, which removes any near-term incentive to cash out and instead positions this stake as long-term structural collateral in a deal. Additionally, Musk’s two companies are already deeply intertwined through shared semiconductor fabrication at their joint TERAFAB facility in Austin, cross-company supply chain transactions, and Tesla’s $2 billion investment in xAI prior to the SpaceX-xAI merger.
Wedbush analyst Dan Ives has publicly placed the odds of a Tesla and SpaceX combination at 80% to 90% by early 2027. The Implementation Agreement that made Monday’s exercise possible was signed on April 21, 2026, roughly two months before the SpaceX IPO closed. That sequencing, building Musk’s Tesla ownership to its highest point ever immediately before SpaceX gains the public currency needed to acquire it, is either an extraordinary coincidence or a carefully staged foundation for the largest corporate merger in history.
Tesla Full Self-Driving is going to be getting a major parking upgrade. That’s according to CEO Elon Musk, who detailed a crafty new feature that will improve parking preferences, removing a layer of human input.
Musk said that upcoming releases of Full Self-Driving will “remember your parking preferences.” It will go to the location you prefer, based on where you’ve parked in the past, instead of taking the first spot available, which is where the suite is currently.
The CEO went on to explain that destination parking is “by far” the biggest reason for intervention during FSD operation. We’d have to believe this is true; many takeovers in my Model Y, which runs the latest version of FSD as it is in the Early Access Program, are due to parking because it chooses a spot I do not want to be in.
Many times, as soon as I enter a parking lot, I take over and park manually. I prefer to park away from the entrance of wherever I am, away from cars. Too many lessons learned over the years from people with free-swinging doors.
Upcoming releases of FSD will remember your parking preferences, so that the car goes to the right location at your home, office, school drop off, etc.
Destination parking is by far the biggest reason people now intervene with FSD. Critical safety interventions are extremely…
— Elon Musk (@elonmusk) June 17, 2026
We’d imagine these new updates will also solve things like parking orientation. Let’s say when you arrive at work, you always park in the third spot in the third row, and you prefer to back in. It seems as if Musk is implying that your car will now do this, learning from takeovers and aiming to eliminate the need to manually park whenever possible.
This is a major upgrade because parking is a major shortcoming of FSD currently. We’ve requested things like manual input of parking preferences, choosing to park far away, first available, or away from cars, for example.
This is a big reason Parking Preferences with Supervised FSD will be so valuable.
If possible, parking a little further away and being distant from people like this is worth it. https://t.co/1YqQLgnfTz pic.twitter.com/3Ac71KQiQ3
— TESLARATI (@Teslarati) June 7, 2026
However, some have used the option of dropping a pin at the location you’d like to park at your destination. This has worked some of the time, but FSD will still choose to park in whatever it sees first.
Musk did not give a timetable for when the improvements would be released, but it is likely to come soon. Tesla has been releasing a new FSD version every few weeks, so we may not have to wait long to test it.
Tesla Cybercab has one important piece that AI4 cars might need for FSD
Elon Musk just upped his Tesla stake further fueling SpaceX merger conversation
