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Tesla FSD Beta 10.69.2.3 observations from testers

(Credit: Tesla)

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Tesla FSD version 10.69.2.3 rolled out shortly after AI Day. The latest update of Tesla’s Full Self Driving software delivers minor bug fixes. Some testers have received v10.69.2.3 and shared their observations with Teslarati

As previously noted, 10.69.2.3 is a relatively small update that addresses some minor bugs in FSD Beta. As it sometimes goes with software bug fixes, some Beta testers mentioned a new issue in the latest version that appeared to be a step or two backward. 

Road Obstacle Detection Issues

A few testers in Tesla’s FSD Beta Program reported experiencing road obstacle detection issues when their vehicles would not register particular objects in their path or directly ahead. 

For instance, beta tester Jonathan shared that his vehicle did not recognize or avoid dead animals on the road. Another beta tester experienced similar issues with gates in his community.

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“One day coming back from work I decided to see if it can get me close to the proximity of my house. I live in a gated community. The vehicle made the turn into the drive entry of the community which has two swing gates. Vehicle was almost going to go through the closed gates,” FSD Beta user Sean shared with Teslarati. “I had to tap the breaks and override the system to make it stop. It didn’t see the gates as obstacles or road blocks. I have tried this a couple of times during daylight and night time and result is the same.”

After Tesla released v10.69.2.2, a few beta testers observed that their vehicles recognized and avoided construction work sites and similar obstacles on the road. 

Left and Right Turns

A couple of beta testers mentioned issues with left and right turns, specifically during intersections. The most prominent issue FSD Tesla drivers raised about turns was their cars’ hesitation during intersections. Testers highlighted that their cars’ hesitation during intersections isn’t really a big issue until they consider the other drivers on the road. 

“Hesitates too long at intersections presumably trying to determine if/when it’s safe to proceed. This only matters to me when there are cars behind me. I feel intense pressure to push the car through (and I do). Humans do not have patience to wait on its time-table,” noted Terry, another FSD Beta tester.

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FSD Beta user Dr. Rahaman made similar observations. He noted that his Tesla would creep forward after stopping at an intersection on a red light and would take a left or right turn too slowly, sometimes irritating the drivers behind him. Dr. Rahaman specifically observed that his car entered left turn lanes late without a signal. In the past, the Tesla owner has noted that the car’s turn signals sporadically turn off and on at some intersections or turns. 

Lane Selection Issues

Tesla FSD v.10.69.2.3 doesn’t appear to address the largest issue multiple testers have pointed out over the past few weeks: lane selection. One beta tester seemed to sum up the sentiments most drivers in the Tesla FSD program have regarding lane selection. 

“Lane selection sometimes just plain wrong and dumb. Causes driving task to be harder for itself than it needs to be because it realizes (eventually, usually) it’s in the wrong lane too late and then has to get over which is harder with traffic and unlike a human who can gesture, the car can give no such signals as to its self-made predicament,” the tester commented.  

“Also, it sometimes gets into turn lane just late enough that cars behind me assume I’m continuing straight and swoop in behind me and get over immediately causing it to be even harder for my car to get over into that lane now because all slots are occupied and the road is about to end at a light,” he added. 

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Other Issues

Some other less prominent issues that a few FSD Beta testers have noted are listed below. 

1. Lane Positioning – The car hugs the double yellow lines too closely on narrow roads or sticks to the middle of the road when no lines are present. 

2. Wide turns – The Tesla car takes wide turns, far from the curb. One tester observed that his car risked hitting the guard rails and other obstacles with its wide turn. 

3. Turn Lane Issues – The car still mistakes turn lanes for driving lanes

Some testers still report experiencing phantom braking and jerkiness while taking turns. However, the one observation that seems to stick out among others came from beta tester Neeraj. 

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“Drives as if everyone is going to follow the rules 100% and is not accommodating or accounting for those who may not be going 100% as they should,” he said about FSD Beta. 

FSD Beta still has a ways to go before 100% autonomous version rolls out to the general public. Observations and tests from beta testers help Tesla improve FSD. Elon Musk teased more significant improvements in the next update, 10.69.3. Tesla hopes to release a ‘supervised’ FSD version by the end of the year. 

Have you tried out FSD Beta 10.69.2.3 yet? I’d like to hear from you! 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 Robotaxi service in Austin achieves monumental new accomplishment

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Credit: Tesla

Tesla Robotaxi services in Austin have been operating since last Summer, but Tesla has admittedly been delayed in its expansion of the geofence, fleet size, and other details in a bid to prioritize safety as new technology rolls out.

But those barriers are being broken with new guardrails being removed from the program.

Tesla has achieved a significant advancement in its autonomous ride-hailing program. As of May 4, the Robotaxi fleet in Austin, Texas, has begun operating unsupervised during evening hours for the first time. This expansion moves beyond previous limitations that restricted unsupervised service to daylight hours, typically ending in mid-afternoon.

The change brings Austin in line with operations in Dallas and Houston. Those cities have supported evening unsupervised runs since their initial launches in April, and both recently received additions of new unsupervised vehicles to their fleets. This coordinated progress across Texas strengthens Tesla’s regional presence and provides a broader testing ground for the technology.

This milestone carries substantial weight in the development of autonomous vehicles. Extending operations into low-light conditions meaningfully expands the Robotaxi’s operational design domain (ODD)—the specific environments and scenarios in which the system is approved to operate safely without human intervention.

Nighttime driving presents unique technical demands: diminished visibility, headlight glare from oncoming traffic, reduced contrast for identifying pedestrians and lane markings, and greater variability in camera sensor exposure.

Tesla Cybercab just rolled through Miami inside a glass box

Tesla’s pure vision approach, powered by neural networks trained on vast real-world datasets rather than lidar or pre-mapped routes, must handle these variables reliably. Demonstrating consistent unsupervised performance after sunset validates the robustness of the end-to-end AI stack and its ability to generalize across diverse lighting conditions.

Beyond technical validation, the expansion holds important operational and economic implications. Evening hours often coincide with peak urban demand for rides, including commutes, dining, and entertainment outings.

Enabling service during these periods increases daily vehicle utilization, allowing each Robotaxi to generate more revenue while gathering additional high-value training data. Higher utilization accelerates the virtuous cycle of data collection, model improvement, and further ODD growth.

Looking ahead, this step paves the way for more ambitious rollouts. Success in low-light environments positions Tesla to pursue near-24-hour operations, potentially integrating highways and expanding into varied weather patterns. Regulators worldwide frequently demand evidence of safe performance across day-night cycles before granting wider approvals.

Proven capability in Texas could expedite deployments in planned cities such as Phoenix, Miami, Orlando, Tampa, and Las Vegas during the first half of 2026.

Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline

Moreover, scaling evening service supports Tesla’s long-term vision of a high-efficiency robotaxi network. Greater fleet productivity lowers the cost per mile, making autonomous mobility more accessible and competitive against traditional ride-hailing.

As the company iterates on software updates informed by nighttime data, reliability is expected to compound rapidly, unlocking denser urban coverage and longer-distance trips.

In summary, the introduction of an unsupervised evening Robotaxi service in Austin represents more than an incremental schedule adjustment. It signals a critical maturation of the underlying technology and sets the foundation for broader geographic and temporal expansion.

With Texas operations gaining momentum, Tesla is steadily advancing toward transforming urban transportation at scale.

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Tesla Cybercab just rolled through Miami inside a glass box

Tesla paraded a Cybercab in a glass display at Miami’s F1 Grand Prix event this week.

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Tesla Cybercab at the Miami F1 Fan Fest 2026: Credit: TESLARATI

Tesla set up an “Autonomy Pop-Up” at Lummus Park in Miami Beach from April 29 through May 3, 2026, embedded within the official F1 Miami Grand Prix Fan Fest.  The centerpiece was a Cybertruck towing the Cybercab inside a glass display case marked “Future is Autonomous,” rolling through the beachfront crowd.

Miami is on Tesla’s confirmed list of cities for robotaxi expansion in the first half of 2026, making the promotion a strategic promotion that lays groundwork in a target market.

This was not Tesla’s first time using Miami as a showcase city. In December 2025, Tesla hosted “The Future of Autonomy Visualized” at its Miami Design District showroom, coinciding with Art Basel Miami Beach. That event featured the Cybercab prototype and Optimus robots interacting with attendees. The F1 pop-up this week marks Tesla’s return to Miami and follows a pattern Tesla has been running since early 2026. Just two weeks before Miami, Tesla stationed Optimus at the Tesla Boston Boylston Street showroom on April 19 and 20, directly on the final stretch of the Boston Marathon, letting tens of thousands of runners and spectators meet the robot for free, generating massive earned media at zero advertising cost.

Tesla is sending its humanoid Optimus robot to the Boston Marathon

Tesla has confirmed plans to expand its robotaxi service to seven cities in the first half of 2026, including Dallas, Houston, Phoenix, Miami, Orlando, Tampa, and Las Vegas, building on the unsupervised service already running in Austin. Musk has said he expects robotaxis to cover between a quarter and half of the United States by end of year. On the production side, Musk told shareholders that the Cybercab manufacturing process could eventually produce up to 5 million vehicles per year, targeting a cycle time of one unit every ten seconds. Scaling robotaxis to 10 million operational units over the next ten years is a key condition of his compensation package, alongside selling 20 million passenger vehicles.

As for the Cybercab’s price, Musk has said buyers will be able to purchase one for under $30,000, with an average operating cost around $0.20 per mile. Whether those numbers hold through full production remains to be seen.

Cybercab at F1 Fan Fest in Miami
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Tesla Semi gets new product launch as mass manufacturing hits Plaid Mode

While the 1.2 MW Megacharger handles quick 30-minute en-route boosts, the Basecharger serves as a reliable overnight solution for longer dwell times at warehouses, distribution centers, fleet yards, and even, potentially, homes.

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Credit: Tesla

The Tesla Semi is getting a new production launch as mass manufacturing on the all-electric truck is gearing up to hit Plaid Mode.

Tesla has introduced a game-changing addition to its commercial charging lineup with the new 125 kW Basecharger for Semi. Launched this week as part of the new “Semi Charging for Business” program, this compact unit is purpose-built for depot and overnight charging of Tesla Semi trucks.

While the 1.2 MW Megacharger handles quick 30-minute en-route boosts, the Basecharger serves as a reliable overnight solution for longer dwell times at warehouses, distribution centers, fleet yards, and even, potentially, homes.

Delivering up to 60 percent of the Semi’s range in roughly four hours, perfect for overnight top-ups during mandated driver rest periods or while trucks are loaded or unloaded. Its fully integrated design eliminates the need for bulky separate AC-to-DC cabinets.

Tesla engineers tucked one of the power modules from a V4 Supercharger Cabinet directly inside the sleek post, resulting in a compact footprint. It also features a six-meter cable for layout flexibility. This is one thing that must have been learned through the V4 Supercharger rollout.

Installation and operating costs drop dramatically thanks to daisy-chaining. Up to three Basechargers can share a single 125 kVA breaker, slashing electrical infrastructure requirements. The unit outputs 150 amps continuous across an 180–1,000 VDC range, matching the Semi’s high-voltage architecture while supporting the MCS 3.2 standard.

Tesla Semi sends clear message to Diesel rivals with latest move

Priced from $40,000 for a minimum order of two units, the Basecharger is far more affordable than the $188,000 Megacharger setup for two posts. Deliveries begin in early 2027. Buyers also receive Tesla’s full network-level software, remote monitoring, maintenance, and a guaranteed 97 percent or higher uptime—critical for fleet reliability.

This launch arrives as Tesla accelerates high-volume Semi production at its Nevada factory, targeting 50,000 units annually. By pairing affordable depot charging with ultra-fast highway options, Tesla removes one of the biggest obstacles to electrifying Class 8 trucking: infrastructure cost and complexity.

Fleet operators stand to gain lower electricity rates during off-peak hours, dramatically reduced maintenance compared to diesel, and quieter yards at night. The Basecharger isn’t just another charger—it’s the practical bridge that makes large-scale electric semi adoption economically viable.

With the Basecharger handling “home” duties and Megachargers powering the road, Tesla is delivering a complete ecosystem that could finally tip the scales toward zero-emission freight. For trucking companies ready to go electric, the future just got a whole lot more charger-friendly.

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