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Elon Musk’s SpaceX lab school principles now molding young innovators around the world
The advent of COVID has brought about a myriad of problems in the world to the forefront, including hard-to-swallow realizations about the systems that surround, forge, and often dictate human society. Education was among these systems affected by the global pandemic.
As students moved their learning experiences from the classroom into their living rooms, it became evident that the traditional education system was not equipped to mold young minds in the middle of a pandemic. At the same time, however, the coronavirus’s effect on schools and learning highlighted some issues that have been plaguing the educational sector for some time.
Some parents, teachers, and other advocates of learning have taken the time the pandemic has afforded us to try and fix some of the fundamental issues that have surfaced in traditional education systems across the globe throughout the years, prior to COVID.
Synthesis School has taken a different route.

Led by Josh Dahn (Cofounder & Creative Director), Chrisman Frank (Cofounder & CEO), and Ana Fabrega (Chief Evangelist), Synthesis School seems to get to the root of learning and education by teaching kids and young adults fundamental problem-solving skills through a medium that comes naturally to them: games.
“Synthesis school has taken the games that were played at Ad Astra campus, at the lab school of SpaceX. We’ve taken those games and we’ve scaled them up to offer to kids all around the world. The particular focus of them has to do with teaching bigger concepts like game theory, collaboration, Network Effect. What it’s like to work in a teams, strategy…,” Jessica Bogart, a Synthesis School facilitator, told Teslarati.
Bogart left the entertainment industry after two decades to join Synthesis School as a facilitator. She sat down with Teslarati and explained the schematics of each class and how it helped enrich and cultivate young minds to face the everyday problems that life will throw at them.

Elon Musk’s educational principles from Ad Astra – the SpaceX lab school he created for his sons with the help of Josh Dahn—make up the core of Synthesis School. Musk described the two core principles of Ad Astra years ago as: 1) Ditch the assembly line model, no grade levels and 2) Problem-focused, not tool-focused.
At Synthesis, about 18-20 kids are put into groups called cohorts. Each group has one facilitator. Bogart explained that facilitators don’t lecture to their cohorts, like teachers do in a classroom.
A typical meeting starts with the cohorts logging into one of Synthesis School’s games and a Zoom call. The facilitator does not give them instructions about the game. Each cohort is given time to explore and learn the schematics of the game on their own.
After they have explored, the cohorts talk to each other to learn information that others might have found about the game. Then the cohorts are broken down into several groups and must navigate the game together to complete a given objective.

“There’s no wrong answers and there’s no grades. It’s all about seeing how you think,” Bogart said. She explained that Synthesis didn’t teach kids through rote memorization or focus on grades and teaching to the test. It focused more on critical thinking, problem-solving, and teaching kids how to find or learn about the tools they need to solve complex issues.
“In regular school, an example would be, here are 50 different screwdrivers and you’re going to memorize the size and shape and handles and where they go on the board,” Bogart explained.
“The way that [it was being taught at Ad Astra] at the time was here’s the engine that’s broken and we need to fix it, but what do we do to get the casing off? Well, we use a screwdriver. And now you’ve made that connection.”
In Jessica Bogart’s cohort missions, she has been able to teach her kids concepts like the Network Effect or the Stag Hunt game theory. Right before her interview with Teslarati, Bogart taught her cohorts offensive and defensive strategies based on The Art of War by Sun Tzu.

Synthesis School already has cohorts from around the world, including Australia, England, India, Bahrain, and the United States. The enrichment club offers weekly classes for $180 a month and has plans to add more classes in the future.
It is a growing community dedicated to teaching children and young adults fundamental skills they will need to learn and thrive in life through games like Constellation. In Jessica Bogart’s words, Synthesis School helps kids “embrace the chaos.”
Given the global landscape of today, embracing the chaos of the world and having the ability to work through it, may just be what the doctor ordered.
For more information on Synthesis School, click here.
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Elon Musk
Elon Musk’s last manually driven Tesla will do something no other production car will do
Elon Musk confirmed the Roadster as Tesla’s last manually driven car, with a debut coming soon.
During Tesla’s Q1 2026 earnings call on April 22, Elon Musk made a brief but notable comment about the long-awaited next generation Roadster while describing Tesla’s future vehicle lineup. “Long term, the only manually driven car will be the new Tesla Roadster,” he said. “Speaking of which, we may be able to debut that in a month or so. It requires a lot of testing and validation before we can actually have a demo and not have something go wrong with the demo.”
That single statement is the entire Roadster update from yesterday’s call, and while it represents another timeline shift, it comes as no surprise with Tesla heads-down-at-work on the mass rollout of its Robotaxi service across US cities, and the industrial scale production of the humanoid Optimus.
The fact that Musk specifically framed the Roadster as the last manually driven Tesla is significant on its own. As the rest of the lineup moves toward full autonomy, the Roadster becomes something rare in the Tesla-sphere by keeping the driver in control. Driving enthusiasts who buy a $200,000 supercar are not doing so to be passengers. They want the physical connection to the road, the feel of acceleration under their own input, and the experience of controlling something with that level of performance. FSD, however capable it becomes, removes that entirely. The Roadster signals that Tesla understands this distinction and is building a car specifically for the people who consider driving itself the point.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
The specs for the Roadster Musk has teased over the years are genuinely unlike anything in production. The base model targets 0 to 60 mph in 1.9 seconds, a top speed above 250 mph, and up to 620 miles of range from a 200 kWh battery. The optional SpaceX package takes it further, rumored to add roughly ten cold gas thrusters operating at 10,000 psi, borrowed directly from Falcon 9 rocket technology. With thrusters, Musk has claimed 0 to 60 mph in as little as 1.1 seconds. In a 2021 Joe Rogan interview he went further, stating “I want it to hover. We got to figure out how to make it hover without killing people.” Tesla filed a patent for ground effect technology in August 2025, suggesting the hover concept has not been abandoned. The starting price remains $200,000, with the Founders Series requiring a $250,000 full deposit. Some reservation holders placed those deposits in 2017 and are approaching a full decade of waiting.
With production now targeted for 2027 or 2028 at the earliest, the Roadster remains Tesla’s most audacious promise and its longest-running delay. But if what Musk is testing lives up to even half of what he has described, the demo alone should be worth waiting for.
Elon Musk says the Tesla Roadster unveiling could be done “maybe in a month or so.”
He said it should be an extraordinary unveiling event. pic.twitter.com/6V9P7zmvEm
— TESLARATI (@Teslarati) April 22, 2026
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
