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Tesla FSD improvements in China continues with Baidu’s help

Tesla is working with Baidu to improve FSD in China, as strict data laws prevent Tesla from training its AI locally.

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Credit: Tesla China/Weibo

Baidu is helping Tesla Full Self-Driving (FSD) improve in China.

Engineers from Baidu, a leading AI company in China, are helping Tesla with its FSD Version 13 software.

According to Reuters’ sources, Baidu recently dispatched engineers from its mapping team to Tesla’s Beijing office. The engineers are working on integrating Baidu’s navigation map information with Tesla’s FSD V13 software.

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Tesla’s way of improving FSD V13 in China differs from the methods used in the United States. In the U.S., Tesla trains FSD to improve navigation techniques and learn about roads. In contrast, Tesla cannot train FSD in China due to the country’s data laws.

“Then China, which is a gigantic market, we do have some challenges because they currently don’t allow us to transfer training videos outside of China. And then the US government won’t let us do training in China. So, we’re in a bit of a there. It’s like a quandary,” noted Elon Musk during the last earnings call.

“So, we were solving then is by literally looking at videos of streets in China that are available on the Internet to understand and then feeding that into our training so that publicly available video of street signs and traffic rules in China can be used for training and then also putting it in a very accurate simulator. And so, it will train using SIM for bus lanes in China,” he added.

Tesla has rolled out FSD (Supervised) in Mexico and started the process to release it in parts of Europe. Despite a few regulatory issues, Musk is optimistic that FSD (Unsupervised) will be available in more countries this year.

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“But I think we’ll have unsupervised FSD in almost every market this year, limited simply by regulatory issues, not technical capability. And then unsupervised FSD in the U.S. this year, in many cities but nationwide next year. And hopefully, we have unsupervised FSD in most countries by the end of next year,” he noted during the Q4 and Full Year 2024 earnings call.

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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.

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.

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.

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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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.

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.

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.

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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Tesla discloses two Robotaxi crashes to NHTSA

Newly unredacted data filed with the National Highway Traffic Safety Administration (NHTSA) reveals the two incidents. 

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Tesla has disclosed information on two low-speed crashes that occurred in Austin with its Robotaxi platform. These incidents occurred with teleoperators steering the vehicle, and there were no passengers in the car at the time they happened.

Newly unredacted data filed with the National Highway Traffic Safety Administration (NHTSA) reveals the two incidents.

The first crash took place in July 2025, shortly after Tesla launched its nascent Robotaxi network in Austin. The ADS reportedly struggled to move forward while stopped on a street. A teleoperator assumed control, gradually accelerating and turning left toward the roadside. The vehicle then mounted the curb and struck a metal fence.

In the second incident, in January 2026, the ADS was traveling straight when the safety monitor requested navigation support. The teleoperator took over from a stop, continued forward, and collided with a temporary construction barricade at approximately 9 mph, scraping the front-left fender and tire.

Tesla Robotaxi service in Austin achieves monumental new accomplishment

Tesla has previously told lawmakers that teleoperators are authorized to pilot vehicles remotely—but only at speeds below 10 mph, as the only maneuvers they were approved to perform were repositioning in awkward areas.

“This capability enables Tesla to promptly move a vehicle that may be in a compromising position, thereby mitigating the need to wait for a first responder or Tesla field representative to manually recover the vehicle,” the company stated in filings earlier this year.

Before this week, Tesla redacted the NHTSA reports, but they decided to reveal all 17 Robotaxi incidents recorded since the launch in Austin last Summer. Most of the other crashes involved the Tesla being struck by other road users and were not caused by the self-driving suite itself.

There were other incidents, including two additional self-caused accidents involving the ADS clipping side mirrors on parked cars. In September 2025, one Robotaxi struck a dog that darted into the roadway (the dog escaped unharmed), while another made an unprotected left turn into a parking lot and hit a metal chain.

Although Waymo and Zoox have reported more total crashes, Tesla operates at a far smaller scale. The cautious pace reflects the company’s broader safety concerns; it has been very slow with the Robotaxi rollout to ensure the suite is ready for operation.

Last month, CEO Elon Musk acknowledged that “making sure things are completely safe” remains the primary bottleneck to expanding the network, describing the company’s approach as “very cautious.”

The unredacted filings arrive amid heightened regulatory scrutiny of autonomous vehicles. NHTSA recently closed a separate probe into Tesla’s Full Self-Driving software repeatedly striking parking-lot obstacles such as bollards and chains—a problem that also prompted a recall at Waymo last year.

Tesla Robotaxi has been a widely successful program in its early days of operation, and the transparency Tesla brings here is greatly appreciated. Incidents will happen, of course, but the honesty gives customers and regulators a sense of where Tesla is in terms of developing its self-driving and fully autonomous ride-hailing suite.

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