Connect with us

News

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

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

Published

on

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.

Advertisement

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. 

Advertisement

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. 

Advertisement

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.  

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.

Advertisement
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.

Advertisement
Comments

Investor's Corner

Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst

Published

on

Credit: Tesla China

Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.

On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.

However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.

He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.

The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.

Instead, they have asked for a full-size SUV from Tesla.

Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck

Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.

TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.

Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.

Continue Reading

Elon Musk

Tesla Hardware 3 owners could be made whole this month

Published

on

tesla-asia-model-3
Credit: Tesla Asia/Twitter

Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.

The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.

This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.

It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”

Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”

However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”

Tesla has made some effort to remedy these Hardware 3 owners by offering:

  • Discounted trade-ins toward AI4 cars
  • Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
  • Full Self-Driving v14 Lite

The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.

Expectations for Tesla v14 Lite for Hardware 3 Owners

The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.

Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.

Tesla reveals its plans for Hardware 3 owners who are eager for updates

This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.

There should also be a handful of additional features that are available on AI4 cars, such as:

  • Starting Full Self-Driving from Park
  • Auto Shift
  • Streaks
  • Speed Profiles
  • Improved Dynamics, like Pulling Over for Emergency Vehicles

Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.

We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.

Continue Reading

Elon Musk

SpaceXAI just launched into your kitchen with their new app

SpaceXAI just powered its first consumer app and it predicts what you want to buy.

Published

on

By

SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.

Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.

Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.


Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.

Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”

Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO

The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.

Continue Reading