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Tesla AI Day News Roundup: Optimus, FSD Beta & Dojo updates

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Tesla AI Day has officially kicked off. Guests have started entering the venue already.

AI Day is an event mainly held to recruit talented people and welcome them to Tesla. However, it is still a Tesla event, so everyone expects some product surprises and updates, specifically about the company’s humanoid robot, Optimus, Dojo, and Full Self-Driving.

Teslarati will be closely following the event. This is our news roundup for 2022 AI Day, covering key information Tesla reveals at the event.

Photos and Videos aren’t allowed during the event from attendees. However, guests were able to capture some cool photos of a Tesla Semi with Cybertruck graffiti, a literal fork on the road, and some other cool set ups around the premises.

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Tesla’s former AI Head, Andrej Karpathy, has brought out the (metaphorical) popcorn. His brief “comment” hints that AI Day 2022 might be as exciting as everyone anticipates.

Elon Musk set some expectations about Optimus, reminding everyone that during AI Day 2021, Tesla’s humanoid bot was just “a guy in a robot suit.” Musk also laid out the topics for AI Day 2022, saying that Tesla will talk about Autopilot and Dojo, too.

Optimus Takes the Stage

Tesla didn’t waste any time and brought out Optimus immediately. According to a Tesla mechanical engineer, AI Day 2022 is the first time Optimus has been “let out”– so to speak– without any external support.

“This is literally the first time the robot has walked on stage without a tether, on stage tonight,” Musk added. “The robot can actually do a lot more than we showed you. We just don’t want it to fall on its face.”

Tesla reveals videos of Optimus or in this case “Bumble-Cee” doing “work” around the Tesla office. Optimus carried a box from one area to another, watered plants, and even worked at the factory for a bit. The Tesla bot’s vision is very similar Autopilot.

Tesla also revealed Optimus’ potential final unit one production design. “Our goal is to make a useful humanoid robot as soon as possible,” said Elon Musk. The Tesla CEO also shared that Tesla aims to make Optimus’ price less than $20,000 or cheaper than a car.

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Tesla is using some of the technology in its car in Optimus’ body as well, such as the battery pack, cooling system and more. The company also uses that same technology it uses for its cars to simulate Optimus’ movements and reactions to external collisions.

Tesla is basing Optimus’ body design on the human body. The company has been closely studying the structure of the human body while making the humanoid robot’s overall design. For instance, Tesla designed Optimus’ hands with the idea that factories worldwide are designed ergonomically, or optimized for the human hand. Teslarati briefly covered the significance of robots’ hands in a previous article, linked below.

FSD Beta Updates

The Tesla FSD Beta now has 160,000 customers, compared to 2,000 customers in 2021. Tesla is expected to release v.10.69.2.3 after AI Day, although a precise roll out date has not be announced yet.

Tesla explained the progress its made with Full Self-Driving Beta. The Tesla FSD experts explained how the Full Self-Driving makes decision to AI day guests and the role that customer data played to refine the software. The company also explained occupancy and the role it plays with 3D mapping and providing a birds-eye-view for the car. Tesla is working hard to optimize its video model training as well.

Tesla also talked a lot about its FSD Lane Networks during AI Day 2022. In the past few weeks, Teslarati has received reports from FSD testers, who specifically brought up issues with lane selection. To see “under the hood”–so to speak–somewhat explains the lane issues FSD testers experience on the road.

After multiple test loops and drives, there’s really just one main problem remaining for me at this point on 10.69.2, it’s significant, and that is lane selection,” noted long-time FSD tester Les. 

Tesla has developed a new auto-labeling machine to help with 3D labeling. The FSD experts explained how the software uses other clips to fill out the picture under certain conditions when the camera shows an unclear picture.

Tesla also talked a bit about simulation. The experts showed how it could simulate worlds or environments, using the data gathered from its fleet. It revealed a simulation of San Francisco that was created within two weeks by one employee. Tesla may update a simulated world quickly and as updated develop.

Dojo Updates

Tesla’s goal with Dojo is to build a single accelerator. A key step to realizing its goals was its training tile, which it unveiled during AI Day 2021. Tesla has been trying to figure out how to make its Dojo design scalable and has run into challenges along the way. However, the company’s “fail fast” mindset has helped it push through road blocks and move forward.

The Dojo team showed images of a Cybertruck and Semi running on Mars using stable diffusion achieved through Dojo.

Tesla experts explained that Dojo reduced work that would usually take months to a single week.

Tesla plans to build its first Exapod by 2023, which is expected to significantly increase its autolabeling output . It will be the first Exapod of 7 that Tesla plans to build in Palo Alto.

Tesla ended AI Day 2022 by answering questions from attendees. Tesla hopes that through their thorough explanations during the event, the company would be seen as more than an automaker. And, of course, Tesla hopes that its AI Day 2022 presentation also entices talented individuals to join the company.

The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101

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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 patent aims to make massive change to common automotive part

Detailed in US 2026/0110320 A1 and published on April 23, the patent re-engineers the humble trim clip—the small plastic fastener that secures interior panels to the vehicle’s body structure. Traditional clips are single-piece plastic parts designed for one-time installation.

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tesla roadster
Credit: Praveen Joseph/Twitter

A new Tesla patent aims to fix a common automotive item for a more peaceful ride, revolutionizing its design to remove vibrations and noise during normal operation.

Detailed in US 2026/0110320 A1 and published on April 23, the patent re-engineers the humble trim clip—the small plastic fastener that secures interior panels to the vehicle’s body structure. Traditional clips are single-piece plastic parts designed for one-time installation.

Over time, they loosen, rattle, and transmit road noise, suspension vibrations, and minor panel buzz directly into the passenger compartment. Tesla’s new design turns that ordinary item into a reusable, two-material vibration-damping system built for long-term silence.

The clip consists of four components drawn from just two material families. The pin and grommet are molded from rigid glass-fiber-reinforced nylon, giving them the strength needed to hold panels firmly in place.

Not a Tesla App reported on the patent.

A soft thermoplastic elastomer (TPE) is then overmolded onto the assembly in a distinctive mushroom shape that flares outward beyond the pin shaft. This soft layer does the heavy lifting for comfort: it spreads mechanical loads over a wider area and actively damps oscillations before they can reach the interior trim.

The result is a measurable reduction in noise, vibration, and harshness (NVH)—the very factors that separate a merely quiet electric vehicle from one that feels genuinely serene.

Engineers used finite-element analysis to dial in four precise forces that make the system both secure and serviceable. It takes 31 newtons to insert the grommet into the body panel and 243 newtons to pull it back out, ensuring it stays anchored during normal driving. The pin, however, slides in with only 7 newtons and releases at 152 newtons, the patent says.

Because the grommet grips the sheet metal far more tightly than the pin grips the grommet, technicians can pop the trim panel off, service wiring or components behind it, and snap everything back together without disturbing the grommet or degrading the soft overmold.

The clip survives repeated service cycles with no measurable loss of damping performance.

For drivers, the payoff is a noticeably more peaceful ride. Road rumble, panel flutter, and high-frequency buzz that often sneak into luxury cabins are absorbed at the source rather than conducted through rigid plastic. Over the life of the vehicle, the reusable design also prevents the gradual loosening that causes rattles in conventional clips. Fewer replacements mean less cabin noise from degraded parts and lower long-term maintenance costs.

Tesla’s patent shows how even the smallest hardware decisions affect the overall driving experience. By giving a mundane trim clip two distinct personalities—rigid where strength is needed, soft where silence matters—the company is quietly engineering away one more source of distraction.

If the design reaches production, future Tesla owners could enjoy an even calmer, more refined interior without ever noticing the clever little clips holding it all together.

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SpaceX and Google mull massive partnership on Musk’s orbital data dream: report

The two companies are currently in talks for a rocket launch deal to support the placement of data centers in orbit as part of their push into space-based computing.

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

SpaceX and Google are in the process of ironing out the details of a potential partnership, a new report from the Wall Street Journal says. The two companies are currently in talks for a rocket launch deal to support the placement of data centers in orbit as part of their push into space-based computing.

In a move that blends cutting-edge AI demands with the final frontier of space exploration, Google is in exclusive talks with Elon Musk’s SpaceX for a rocket launch deal to deploy data centers in orbit. The Wall Street Journal is now reporting today, May 12, that the discussions mark Google’s aggressive expansion into space-based computing, addressing the exploding energy needs of artificial intelligence that terrestrial infrastructure can no longer sustain.

SpaceX, nor Google, have commented on the report.

The catalyst for a potential deal is clear: AI’s voracious appetite for electricity. Global data centers consumed about 415 terawatt-hours (TWh) of electricity in 2024—roughly 1.5 percent of worldwide usage—according to the International Energy Agency. That figure is projected to more than double to around 945 TWh by 2030, with AI-focused servers growing at 30 percent annually, outpacing overall electricity demand growth by more than four times.

Some forecasts peg data center consumption exceeding 1,000 TWh by 2026, equivalent to Japan’s entire national electricity use. A single large AI training facility can draw as much power as 100,000 homes. On Earth, this translates to grid overloads, skyrocketing costs, land shortages, and massive water demands for cooling—constraints that threaten to throttle AI progress.

Orbital data centers promise a radical workaround. In space, satellites can harness constant, unobstructed sunlight for power—solar panels generate roughly five times more energy in orbit than on the ground, with no night cycle or atmospheric interference.

Excess heat radiates harmlessly into the vacuum of space, eliminating energy-intensive cooling systems and water usage. No terrestrial land or power grid is required, freeing operations from regulatory and environmental bottlenecks.

Musk has long championed the concept, framing it as inevitable. “Space-based AI is obviously the only way to scale,” he wrote on SpaceX’s site following the xAI merger. “Global electricity demand for AI simply cannot be met with terrestrial solutions… In the long term, space-based AI is obviously the only way to scale.”

Tesla and xAI team up on massive new project

He has repeatedly highlighted solar advantages: “Space has the advantage that it’s always sunny,” and “any given solar panel is going to give you about five times more power in space than on the ground.”

Musk predicted in early 2026 that “in 36 months but probably closer to 30 months, the most economically compelling place to put AI will be space,” adding that within five years, annual space-launched AI compute could surpass Earth’s cumulative total. “SpaceX will be doing this,” he declared when discussing scaled-up Starlink satellites with high-speed laser links for orbital data transfer.

Meanwhile, Google has been quietly advancing a similar vision under Project Suncatcher, its internal “moonshot” initiative. CEO Sundar Pichai has described plans to launch two prototype satellites equipped with Tensor Processing Units (TPUs) by early 2027 for testing thermal management and reliability in orbit. In interviews, Pichai has called orbital computing a potential “normal way to build data centers” within a decade, enabled by launch cost reductions.

SpaceX is uniquely positioned to make this reality. The company recently filed with the FCC to launch up to one million satellites dedicated to orbital data centers at altitudes between 500 and 2,000 kilometers, projecting capacity for 100 gigawatts of AI compute.

These talks align with SpaceX’s broader ambitions, including a potential IPO where orbital infrastructure features prominently in investor pitches.

FCC accepts SpaceX filing for 1 million orbital data center plan

Challenges remain formidable, as is expected with a project with expectations so lofty. Radiation-hardened hardware, laser-based inter-satellite and Earth-downlink communications, launch economics, and orbital debris management are key hurdles.

Yet early movers like Starcloud (which trained the first large language model in orbit in late 2025) and Google’s prototypes signal accelerating momentum. Rivals, including Amazon and Blue Origin, are exploring similar paths, but SpaceX’s Starship and Starlink heritage give it a launch cadence edge.

This partnership could redefine AI infrastructure, turning the skies into the next data center frontier. As Earth’s power limits loom, Musk’s vision, combined with Google’s ambition, could position space not as sci-fi, but as the scalable solution for humanity’s computational future.

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Investor's Corner

Legendary investor Ron Baron says Tesla and SpaceX stock buys will continue

In a wide-ranging appearance on CNBC’s Squawk Box on May 12, legendary investor Ron Baron, founder, CEO, and portfolio manager of Baron Capital, reaffirmed his deep conviction in Elon Musk’s two flagship companies.

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Ron Baron on Tesla stock
Credit: CNBC

Legendary investor Ron Baron says he will continue buying stock of both Tesla and SpaceX, as he continues his support behind CEO Elon Musk, who he says is a special person and “brilliant.”

In a wide-ranging appearance on CNBC’s Squawk Box on May 12, legendary investor Ron Baron, founder, CEO, and portfolio manager of Baron Capital, reaffirmed his deep conviction in Elon Musk’s two flagship companies.

With assets under management approaching $55–56 billion, Baron detailed his firm’s substantial holdings, outlined plans for the anticipated SpaceX IPO, and painted an exceptionally optimistic picture for both Tesla (NASDAQ: TSLA) and SpaceX, framing them as generational opportunities that will reshape industries and deliver extraordinary long-term returns.

Baron Capital’s position in SpaceX has grown dramatically since the firm began investing around 2017. What started as roughly $1.7 billion has ballooned to more than $15 billion, making it the firm’s largest holding.

Tesla ranks second, valued at approximately $5 billion in the portfolio. Together with stakes in xAI and related Musk-led ventures, these investments account for roughly one-third of Baron Capital’s $60 billion in lifetime profits since 1992. Baron emphasized that the growth stems from Musk’s singular ability to execute ambitious visions—from reusable rockets to global satellite internet and beyond.

The centerpiece of the discussion was SpaceX’s expected initial public offering, targeted for mid-2026 following a confidential S-1 filing. Baron announced plans to purchase an additional $1 billion in shares at the IPO.

He described the company’s trajectory in sweeping terms: “This is going to become the largest company on the planet.”

He highlighted Starlink’s expansion of high-speed internet to every corner of the globe, the revolutionary economics of reusable rockets, and Starship’s potential to enable massive space-based data centers and interplanetary infrastructure.

Baron sees SpaceX not merely as a rocket company but as a platform poised for exponential scaling once it goes public, with post-IPO appreciation potentially reaching 10- to 20- or even 30-times current levels over the next decade or more.

On Tesla, Baron struck an equally enthusiastic note, declaring that “now is Tesla’s moment.” He projected the stock could reach $2,000 to $2,500 per share within 10 years—implying a market capitalization near $8.3 trillion and roughly 5–6 times upside from recent levels. While Tesla remains a major holding, Baron’s optimism centers on its evolution beyond electric vehicles into an AI, robotics, autonomous-driving, and energy platform.

He pointed to robotaxis, Full Self-Driving (FSD) technology, Optimus humanoid robots, energy storage, and the vast real-world data advantage from Tesla’s global fleet as catalysts that will fundamentally alter the company’s revenue model and valuation multiples. Baron views these developments as transformative, shifting Tesla from a traditional automaker to a high-margin technology and infrastructure powerhouse.

Throughout the interview, Baron’s admiration for Musk was unmistakable. He has likened the entrepreneur to a modern Leonardo da Vinci for his artistic, multidisciplinary approach to solving humanity’s biggest challenges.

Baron’s personal commitment mirrors this confidence: he has repeatedly stated he does not expect to sell a single share of his own Tesla or SpaceX holdings in his lifetime, positioning himself as the “last one out” after his clients. This stance underscores a philosophy of patient, long-term ownership rather than short-term trading.

Baron’s comments arrive at a time of heightened anticipation around SpaceX’s public debut, which could rank among the largest IPOs in history and potentially value the company at $1.5–2 trillion or more at listing.

For investors, his message is clear: the Musk ecosystem—spanning electric vehicles, autonomy, robotics, satellite communications, and space exploration—represents one of the most compelling secular growth stories of the era. While short-term volatility in tech and EV stocks may persist, Baron sees these as buying opportunities for those who share his multi-decade horizon.

In summarizing his outlook, Baron reinforced that the combination of technological breakthroughs, massive addressable markets, and Musk’s leadership creates asymmetric upside that few other investments can match.

For Baron Capital’s clients and long-term Tesla and SpaceX shareholders alike, the investor’s latest CNBC remarks serve as both validation and a call to remain patient through the inevitable ups and downs. As Baron sees it, the best days for both companies—and the returns they can deliver—are still ahead.

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