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Elon Musk’s SpaceX lab school principles now molding young innovators around the world

Credit: synthesis.is/Instagram, CC BY-ND 2.0

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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.

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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. 

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“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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If you have a story share related to Elon Musk, Tesla, or any of his companies, we’d like to hear from you. Email us at tips@teslarati.com or reach out to me at maria@teslarati.com.

https://www.youtube.com/watch?v=RrUrRjhbWHo&feature=emb_logo

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla Diner becomes latest target of gloom and doom narrative

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tesla diner
Credit: Tesla

The Tesla Diner has been subject to many points of criticism since its launch in mid-2025, and skeptics and disbelievers claim the company’s latest novel concept is on its way down, but there’s a lot of evidence to state that is not the case.

The piece cites anecdotal evidence like empty parking lots, more staff than customers during a December visit, removed novelty items, like Optimus robot popcorn service and certain menu items, the departure of celebrity chef Eric Greenspan in November 2025, slow service, high prices, and a shift in recent Google/Yelp reviews toward disappointment.

The piece frames this as part of broader Tesla struggles, including sales figures and Elon Musk’s polarizing image, calling it a failed branding exercise rather than a sustainable restaurant.

This narrative is overstated and sensationalized, and is a good representation of coverage on Tesla by today’s media.

Novelty Fade is Normal, Not Failure

Any hyped launch, especially a unique Tesla-branded destination blending dining, Supercharging, and a drive-in theater, naturally sees initial crowds taper off after the “Instagram effect” wears down.

Tesla makes major change at Supercharger Diner amid epic demand

This is common for experiential spots in Los Angeles, especially pop-up attractions or celebrity-backed venues. The article admits early success with massive lines and social media buzz, but treats the return to normal operations as “dying down.”

In reality, this stabilization is a healthy sign of transitioning from hype-driven traffic to steady patronage.

Actual Performance Metrics Contradict “Ghost Town” Claims

  • In Q4 2025, the Diner generated over $1 million in revenue, exceeding the average McDonald’s location
  • It sold over 30,000 burgers and 83,000 fries in that quarter alone. These figures indicate a strong ongoing business, especially for a single-location prototype focused on enhancing Supercharger experiences rather than competing as a mass-market chain

Conflicting On-the-Ground Reports

While the article, and other similar pieces, describe a half-full parking lot and sparse customers during specific off-peak visits, other recent accounts push back:

  • A January 2026 X post noted 50 of 80 Supercharger stalls were busy at 11 a.m., calling it “the busiest diner in Hollywood by close to an order of magnitude

  • Reddit discussions around the same time describe it as not empty when locals drive by regularly, with some calling the empty narrative “disingenuous anti-Tesla slop.”

Bottom Line

The Tesla Diner, admittedly, is not the nonstop circus it was at launch–that was never sustainable or intended. But, it’s far from “dying” or an “empty pit stop.”

It functions as a successful prototype: boosting Supercharger usage, generating solid revenue, and serving as a branded amenity in the high-traffic EV market of Los Angeles.

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Tesla stands to win big from potential adjustment to autonomous vehicle limitations

Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.

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Credit: Patrick Bean | X

Tesla stands to be a big winner from a potential easing of limitations on autonomous vehicle development, as the United States government could back off from the restrictions placed on companies developing self-driving car programs.

The U.S. House Energy and Commerce subcommittee will hold a hearing later this month that will aim to accelerate the deployment of autonomous vehicles. There are several key proposals that could impact the development of self-driving cars and potentially accelerate the deployment of this technology across the country.

These key proposals include raising the NHTSA’s exemption cap from 2,500 to 90,000 vehicles per year per automaker, preempting state-level regulations on autonomous vehicle systems, and mandating NHTSA guidelines for calibrating advanced driver assistance systems (ADAS).

Congress, to this point, has been divided on AV rules, with past bills like the 2017 House-passed measure stalling in the Senate. Recent pushes come from automakers urging the Trump administration to act faster amid competition from Chinese companies.

Companies like Tesla, who launched a Robotaxi service in Austin and the Bay Area last year, and Alphabet’s Waymo are highlighted as potential beneficiaries from lighter sanctions on AV development.

The NHTSA recently pledged to adopt a quicker exemption review for autonomous vehicle companies, and supporters of self-driving tech argue this will boost U.S. innovation, while critics are concerned about safety and job risks.

How Tesla Could Benefit from the Proposed Legislation

Tesla, under CEO Elon Musk’s leadership, has positioned itself as a pioneer in autonomous driving technology with its Full Self-Driving software and ambitious Robotaxi plans, including the Cybercab, which was unveiled in late 2024.

The draft legislation under consideration by the U.S. House subcommittee could provide Tesla with significant advantages, potentially transforming its operational and financial landscape.

NHTSA Exemption Cap Increase

First, the proposed increase in the NHTSA exemption cap from 2,500 to 90,000 vehicles annually would allow Tesla to scale up development dramatically.

Currently, regulatory hurdles limit how many fully autonomous vehicles can hit the roads without exhaustive approvals. For Tesla, this means accelerating the rollout of its robotaxi fleet, which Musk envisions as a network of millions of vehicles generating recurring revenue through ride-hailing. With Tesla’s vast existing fleet of over 6 million vehicles equipped with FSD hardware, a higher cap could enable rapid conversion and deployment, turning parked cars into profit centers overnight.

Preempting State Regulations

A united Federal framework would be created if it could preempt State regulations, eliminating the patchwork of rules that currently complicate interstate operations. Tesla has faced scrutiny and restrictions in states like California, especially as it has faced harsh criticism through imposed testing limits.

A federal override of State-level rules would reduce legal battles, compliance costs, and delays, allowing Tesla to expand services nationwide more seamlessly.

This is crucial for Tesla’s growth strategy, as it operates in multiple markets and aims for a coast-to-coast Robotaxi network, competing directly with Waymo’s city-specific expansions.

Bringing Safety Standards to the Present Day

Innovation in the passenger transportation sector has continued to outpace both State and Federal-level legislation, which has caused a lag in the development of many things, most notably, self-driving technology.

Updating these outdated safety standards, especially waiving requirements for steering wheels or mirrors, directly benefits Tesla’s innovative designs. Tesla wanted to ship Cybertruck without side mirrors, but Federal regulations required the company to equip the pickup with them.

Cybercab is also planned to be released without a steering wheel or pedals, and is tailored for full autonomy, but current rules would mandate human-ready features.

Streamlined NHTSA reviews would further expedite approvals, addressing Tesla’s complaints about bureaucratic slowdowns. In a letter written in June to the Trump Administration, automakers, including Tesla, urged faster action, and this legislation could deliver it.

In Summary

This legislation represents a potential regulatory tailwind for Tesla, but it still relies on the government to put forth action to make things easier from a regulatory perspective. Enabling scale, innovation, and profitability in a sector that is growing quickly would benefit Tesla significantly, especially as it has established itself as a leader.

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

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Credit: Grok Imagine

NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance. 

More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system. 

Jensen Huang’s praise for Tesla FSD

Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”

During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:

“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies. 

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“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said. 

Nvidia’s platform approach vs Tesla’s integration

Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.

“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.

He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.

“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”

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He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.

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