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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
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
