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Tesla AI Day: What to expect

Credit: @DennisHongRobot/Twitter

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Tesla’s AI Day is tomorrow, and the company has been largely silent about details of the upcoming event. Considering how artificial intelligence plays into Tesla’s energy and electric vehicle business, it is no surprise that there is some excitement for AI Day. With this in mind, here are some things that Tesla watchers could expect for the highly-anticipated event.

Updates from Autonomy Day

Tesla bull and Loup Ventures Managing Partner Gene Munster previously noted that AI Day would likely be a “second edition” of sorts for the company’s Autonomy Day event back in 2019. The invitations that have been sent for AI Day suggest that the company is looking to expand its AI use to more than just vehicles. This is something that Elon Musk has mentioned in the past. 

During the Q1 2021 earnings call, Musk stated that in the long run, people would start perceiving Tesla as an “AI robotics company” instead of a carmaker or battery storage producer. “I think long term, people will think of Tesla as much as an AI robotics company as we are a car company or an energy company. I think we are developing one of the strongest hardware and software AI teams in the world,” Musk said. 

If AI Day does become a follow-up to Autonomy Day, however, Tesla would likely have to discuss some of the updates it has rolled out to its vehicles and self-driving efforts since 2019. These include the removal of radar for the Model 3 and Model Y, which Musk expects would ultimately accelerate the company’s progress towards autonomous driving. 

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Credit: Whole Mars Catalog/YouTube

Project Dojo Details

Tesla’s Dojo Supercomputer has long been teased, but its specs and capabilities have never really been revealed by the company. AI Day would be a great venue to formally introduce the world to its supercomputer and its capabilities. Dojo is crucial to Tesla’s self-driving efforts as the computer is tasked with training neural networks that would, in turn, enable the company’s vehicles to behave even more like cautious and confident human drivers on the road. 

Gene Munster noted that based on Elon Musk’s previous comments, it appears that Tesla has plans to make Dojo available to other automakers in the future. This should help not just Tesla but the entire auto industry transition into the self-driving era. Musk definitely seems optimistic about Dojo’s contribution to Tesla’s self-driving efforts, which have been both highly praised and criticized to date. 

“Dojo is really a — it is a supercomputer optimized for neural net training. We think Dojo will be, probably in order of magnitude, more efficient on, say — not sure what the exact right metric is, but say, per frame of video, we think it will be an order of magnitude more cost efficient in hardware and in energy usage for a frame of video compared to a GPU-based solution or compared to the next best solution that we’re aware of. So then possibly that could be used by others,” Musk stated. 

Credit: Tesla

Beyond Automotive and Energy

Tesla already uses AI on its electric vehicles, and the company’s products like Autobidder show that artificial intelligence could also be invaluable for the energy sector. Interestingly enough, Tesla seems to be intent on expanding beyond these markets, with the company teasing more AI-based efforts in its formal invitation. 

“This invite-only event will feature a keynote by Elon, hardware and software demos from Tesla engineers, test rides in Model S Plaid, and more. Attendees will be among the first to see our latest developments in supercomputing and neural network training. They’ll also get an inside look at what’s next for AI at Tesla beyond our vehicle fleet,” Tesla wrote. 

Elon Musk has hinted at other “smart” products in the past. During his first appearance at the Joe Rogan Experience podcast in 2018, Musk has stated that it would be great to develop a “Tesla Smart Home” that includes an efficient HVAC system. Musk mentioned this once more in March 2020, when he noted that creating smart and energy-efficient home products would be great since Tesla is already developing a lot of the needed tech for its vehicles. 

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TSLA Volatility

Tesla watchers and investors would likely have to get ready for some volatility after AI Day tomorrow. While Tesla’s dedicated events such as Autonomy Day and Battery Day were filled to the brim with information, and while both events were mainly for recruitment, TSLA stock ended up dipping the day after. The day after Battery Day in September 2020, for example, TSLA shares dropped 10% as critics pounced on the 4680 cells’ timetable and the fact that the company did not show a physical cell during its event. It will not be surprising if the same thing happens on Friday after AI Day. 

Tesla’s AI day is set to be held at Palo Alto, CA, on August 19, 2021, at 5 p.m. PDT. The event would likely be livestreamed as well. 

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up. 

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX reveals Starship Flight 13 launch date

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SpaceX Starship V3 flight 12
SpaceX Starship V3 flight 12 (Credit: SpaceX)

SpaceX is preparing for the 13th integrated flight test of its Starship system, with a targeted launch as early as Thursday, July 16. The 90-minute launch window opens at 5:45 p.m. CT from Starbase in South Texas.

This comes roughly seven weeks after Flight 12 on May 22, underscoring the company’s accelerating pace in its rapid development campaign. The mission will use the latest Starship and Super Heavy V3 vehicles equipped with Raptor 3 engines. Booster 20 will attempt a controlled boostback burn, followed by a splashdown in the Gulf of Mexico, while Ship 40 will follow a suborbital trajectory.

Key objectives for Flight 13 will include demonstrating reliable stage separation, engine performance under various conditions, and controlled reentry.

A major milestone for Flight 13 is the first deployment of 20 next-generation Starlink V3 satellites. These satellites feature advanced laser links for inter-satellite communication, deployable solar arrays, and onboard cameras, six of which will capture imagery of Starship’s heat shield during flight.

Several heat shield tiles on Ship 40 will be painted white to serve as imaging targets, while additional experiments test upgraded tiles on aft flaps, modified attachments on the aft skirt, and load-sensing tiles to measure stresses. The upper stage will also attempt a single Raptor engine relight in space before a targeted splashdown in the Indian Ocean.

These tests build directly on lessons from Flight 12, which introduced the V3 configuration but encountered issues including a booster flip anomaly during boostback and an engine-out event on the ship. Hardware and software modifications on Booster 20 and Ship 40 aim to improve engine relight reliability, startup sequencing, and overall robustness.

The short interval between Flights 12 and 13 highlights SpaceX’s iterative approach. Elon Musk has repeatedly emphasized that Starship launches will become “incredibly common” in the coming years.

The company envisions scaling to rates as high as one launch per hour within 4-5 years, potentially enabling thousands of flights annually. Such cadence is essential for Starship’s goals: establishing orbital refueling for lunar and Mars missions, deploying massive satellite constellations, and making life multiplanetary.

With each flight, Starship edges closer to full reusability and operational maturity. Success on July 16 would mark another step toward routine access to space and the ambitious vision of humanity becoming a spacefaring civilization.

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Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont

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Credit: Tesla

Tesla shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.

The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.

The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”

Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.

The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.

Elon Musk outlines Tesla Optimus production expectations

This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.

Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.

Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.

Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.

As one era closes at Fremont, another is rapidly taking shape.

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Elon Musk admits he was ‘clearly wrong’ about Anthropic

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.

In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.

Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.

The tone shifted dramatically from dismissal to acknowledgement of superior performance.

The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.

SpaceXAI signs agreement with Anthropic for massive AI supercomputer access

Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”

To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.

Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.

Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.

These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.

Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.

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