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Tesla’s in-house Dojo chip teased by legendary engineer ahead of AI Day

@DennisHongRobot | Twitter

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Ahead of Tesla’s AI Day scheduled for August 19th, legendary mechanical engineer Dennis Hong has teased a picture of what could be Tesla’s Dojo Chip. While Dojo is a Supercomputer that Tesla Head of Autonomy Andrej Karpathy released photographs of recently, Dojo uses an in-house chip, according to Elon Musk, along with a computer architecture optimized for Neural Net Training.

Hong, who has been a professor at the University of California, Los Angeles Samueli School of Engineering for several years, has an interest in robotic platforms, autonomous vehicles, and machine design. Interestingly, in 2011, Hong presented a TED Talk about the possibilities of making a car for blind people. During the presentation, Hong told attendees about the DARPA Urban Challenge, where he and his team of engineers developed a fully autonomous car that would automatically reach its destination without intervention. In 2007, when the Urban Challenge was completed, Hong and Co. placed third in the competition, taking home a cool $500,000 prize to continue developing self-driving techniques, among other things.

Hong dished out some added anticipation to Tesla’s AI Day event by sending out a picture of what is likely the in-house chip that Musk talked about in September 2020. “Dojo uses our own chips,” Musk said. Unlike most automakers, Tesla aims to develop most of its software and hardware in-house, especially when it comes to its autonomy projects. While Hong was unwilling to confirm or deny what his professional relationship with Tesla is, his expertise could likely have contributed to the development of Dojo and the autonomous driving project that the company has worked on for years.

Tesla has been developing its own chips since 2016, led by Jim Keller. Ultimately, Tesla wanted to design chips in-house so it knew all of the components and could likely sell the chip to other manufacturers later on. In 2019 at Autonomy Day, it unveiled Hardware 3.0, a chip that Elon Musk said was “objectively the best chip in the world.” Earlier this year, it was rumored that Tesla was working with Samsung to develop a new 5nm semiconductor chip that would assist with autonomous driving software.

Dojo is undoubtedly being developed in-house, but that does not mean Tesla will not attempt to gain the expertise and experience of some of the world’s most intelligent and accomplished engineers. With at least 14 years of experience in the field of self-driving cars, Hong may be the perfect candidate to help Tesla perfect and unveil the future of autonomous driving later this month. At AI Day, it is unknown what will be talked about or released as of right now, but there is obvious speculation that details regarding Tesla’s long-awaited Dojo could be released.

After announcing Dojo last year, Musk and Co. have remained relatively quiet regarding its development, but the company has continuously released updates to its Full Self-Driving Beta suite. Musk says updates will come “every 2 weeks on Friday” at midnight Pacific Standard Time.

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Despite Tesla’s development and incremental improvements with nearly every software update, it is nowhere near completed. Instead, the strategy was to transition Tesla’s entire FSD strategy from what Musk called ~2.5D to 4D. Essentially, Musk wanted to transition the FSD Neural Network to a video format. Adding timestamps for more accuracy, the complexity of Dojo is likely something that will not only improve the accuracy of Tesla’s vehicles when FSD and Autopilot are operational, but it also will increase performance at a more drastic rate due to the increased rate of data capture. The massive amount of data that Dojo will comprehend requires one of the world’s strongest and most robust computer systems.

While Tesla hinted toward the release of Dojo late last year, it will not be ready until late 2021 at the earliest. It is unknown if Tesla will unveil Dojo at the event or give a simple progress update.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla is making sweeping improvements to Robotaxi

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Credit: Tesla

Tesla is continuing to refine and improve its Robotaxi program from A to Z, and it is now going to make some sweeping changes to the smartphone app portion of the suite.

The company is aiming to make some sweeping changes with the release of Robotaxi app version 26.4.5, which was recently decompiled by Tesla App Updates on X. The update reveals significant new code, focused on remote operations, safety protocols, and seamless autonomous ride-hailing.

These improvements evidently signal Tesla’s preparations for scaling unsupervised Cybercab deployments, particularly the steering wheel-less variants spotted in production. The enhancements emphasize providing a reliable experience that gives passengers support when needed, along with operational efficiency.

Remote Operator Voice Calls

One standout addition is support for remote operator voice calls. The app now includes a dedicated native voice-communication system linking passengers directly to Tesla teleoperators via the vehicle’s cabin microphone and speakers.

This feature allows real-time assistance during rides, addressing issues like navigation questions or comfort adjustments without disrupting the autonomous journey. It builds on existing support protocols, making human intervention more accessible and intuitive.

Proactive Remote Assistance

The update introduces proactive remote assistance capabilities. Rather than waiting for passenger-initiated requests, the system can anticipate and offer help based on monitored conditions.

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This might include something like suggesting route changes, climate adjustments, or addressing potential delays. By integrating AI-driven monitoring with human oversight, Tesla aims to deliver a smoother, more attentive experience that exceeds traditional ride-sharing services.

Manual Override and Remote Start for Steering Wheel-less Cybercabs

A key highlight for the wheel-less Cybercab fleet is manual override plus remote start functionality. Fleet operators and technicians can now temporarily take control or remotely start vehicles lacking steering wheels. This is crucial for lower-speed maneuvers, such as getting vehicles from tight parking situations or even performing maintenance.

Controls are strictly limited for safety–typically to speeds under 2 MPH–ensuring these interventions remain emergency measures only.

Tesla is adding a secure “Enable Manual Drive” mode that will allow those fleet operators or others to take control temporarily.

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Additionally, a Remote Start feature, which authorizes an empty vehicle to begin a driverless ride alone.

Ride-Hailing and Dispatch Features

Ride dispatch has been enhanced with soft-matching and multi-stop support. The app can intelligently pair riders with available Cybercabs while accommodating multiple destinations in a single trip.

This optimizes fleet utilization, reduces wait times, and improves efficiency for shared rides. Soft-matching likely considers factors like proximity, rider preferences, and vehicle availability for better user satisfaction.

Rider-Cabin Sync, Real-Time Routing

New synchronization tools allow the rider’s app to mirror and control cabin settings like seating, climate, and entertainment directly from their phone. Real-time routing updates adapt dynamically to traffic or road conditions, while dynamic safety monitoring continuously assesses the environment.

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The app can now push updates directly to the main screen, enabling Center Display Control. Additionally, there is a dedicated navigation protocol sharing the exact coordinates of road closures and construction, which could prevent the car from getting stuck and needing manual override.

These features create a cohesive, responsive experience where the vehicle and app work in harmony.

Kill Switch

A high-security command lets Tesla completely freeze a vehicle’s ability to drive. This would take the vehicle out of the Robotaxi fleet for any reason Tesla sees fit, and would not allow it to be put into gear even with the correct equipment, like valid keys.

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SpaceX just forced Verizon, AT&T and T-Mobile to team up for the first time in history

AT&T, T-Mobile, and Verizon just joined forces for one reason: Starlink is winning.

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Starlink D2D direct to device vs Verizon, AT&T (Concept render by Grok)

America’s three largest wireless carriers, AT&T, T-Mobile, and Verizon, announced on On May 14, 2026 that they had agreed in principle to form a joint venture aimed at pooling their spectrum resources to expand satellite-based direct-to-device (D2D) connectivity across the United States in what can be seen as a direct response to SpaceX’s Starlink initiative. D2D, in plain terms, is technology that lets a standard smartphone connect directly to a satellite in orbit, the same way it connects to a cell tower, with no extra hardware required.

The alliance is widely seen as a means to slow Starlink’s rapid expansion in the satellite internet and mobile markets. SpaceX’s Starlink Mobile service launched commercially in July 2025 through a partnership with T-Mobile, starting with messaging before expanding to broadband data. SpaceX secured access to valuable wireless spectrum through its $17 billion deal with EchoStar, paving the way for significantly faster satellite-to-phone speeds.

The FCC just said ‘No’ to SpaceX for now

SpaceX was not shy about its reaction. SpaceX president and COO Gwynne Shotwell responded on X: “Weeeelllll, I guess Starlink Mobile is doing something right! It’s David and Goliath (X3) all over again — I’m bettin’ on David.” SpaceX’s VP of Satellite Policy David Goldman went further, flagging potential antitrust concerns and asking whether the DOJ would even allow three dominant competitors to coordinate in a market where a new rival is actively entering.

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Financial analysts at LightShed Partners were blunt, saying the announcement showed the three carriers are “nervous,” and pointed to the timing: “You announce an agreement in principle when the point is the announcement, not the deal. The timing, weeks ahead of the SpaceX roadshow, was the point.”

As Teslarati reported, SpaceX’s next generation Starlink V2 satellites will deliver up to 100 times the data density of the current system, with custom silicon and phased array antennas enabling around 20 times the throughput of the first generation. The carriers’ JV, which has no definitive agreement, no financial structure, and no deployment timeline yet, will need to move quickly to matter.

Elon Musk’s SpaceX is targeting a Nasdaq listing as early as June 12, aiming for what would be the largest IPO in history. With Starlink now serving over 9 million subscribers across 155 countries, holding 59 carrier partnerships globally, and now powering Air Force One, the carriers’ joint venture announcement landed at exactly the wrong time to look like anything other than a defensive move.

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Tesla Model Y prices just went up for the first time in two years

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Credit: Tesla Asia | X

Tesla just raised Model Y prices for the first time in two years, with the largest increase being $1,000.

The move signals shifting dynamics in the competitive electric vehicle market as the company continues to work on balancing demand, profitability, and accessibility.

The new pricing affects premium trims while leaving entry-level options unchanged. The Model Y Premium Rear-Wheel Drive (RWD) now starts at $45,990, a $1,000 increase.

The Model Y Premium All-Wheel Drive (AWD)—previously referred to in the post as simply “Model Y AWD”—rises to $49,990, also up $1,000. The top-tier Model Y Performance sees a more modest $500 bump, bringing its starting price to $57,990.

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Base models remain untouched to preserve affordability. The entry-level Model Y RWD holds steady at $39,990, and the base Model Y AWD stays at $41,990. This selective approach keeps the crossover accessible for budget-conscious buyers while extracting more revenue from higher-margin configurations.

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After years of aggressive price cuts to stimulate volume amid slowing EV adoption and rising competition from rivals like BYD, Ford, and GM, Tesla appears confident in underlying demand. Recent lineup refreshes for the 2026 Model Y, including refreshed styling and efficiency gains, have helped maintain its status as America’s best-selling EV.

By protecting base prices, Tesla avoids alienating price-sensitive customers while improving margins on the more popular variants.

Tesla Model Y ownership review after six months: What I love and what I don’t

For consumers, the changes are relatively modest—under 3% on affected trims—and still position the Model Y competitively against gas-powered SUVs in the same class. Federal tax credits and potential state incentives may further offset costs for eligible buyers.

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This marks a subtle but notable shift from the deep discounting era that defined much of 2024 and 2025. As the EV market matures into 2026, Tesla’s pricing strategy will be closely watched for clues about production ramps, new variants like the rumored longer-wheelbase Model Y, and broader profitability goals.

In short, today’s adjustment reflects a company that remains dominant yet pragmatic—willing to test higher pricing where demand supports it. It is unlikely to deter consumers from choosing other options.

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