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SpaceX’s West Coast drone ship begins Panama Canal transit on journey to Florida (or Texas)

Falcon 9 B1048 returns to Port of LA aboard drone ship JRTI after completing its launch debut in August 2018. (Pauline Acalin)

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After traveling more than 3500 miles (5600 km), SpaceX autonomous spaceport drone ship (ASDS) Just Read The Instructions (JRTI) began its eastbound transit of the Panama Canal on August 18th, placing the vessel roughly two-thirds of the way to its unknown destination.

As previously discussed on Teslarati, JRTI’s move came as a bit of a surprise and it’s still anyone’s bet if the SpaceX recovery vessel heads for Texas or Florida immediately after exiting the Panama Canal. Nevertheless, JRTI’s presence at either (or, more likely, both) possible destinations arguably centers around the imminent demands of a planned ramp of SpaceX’s Starlink satellite constellation launch cadence, as well as an equally imminent need for recovery assets to support the first suborbital Starship test flights.

On July 31st, JRTI departed Port of Los Angeles – its home for the last four years – under tow behind tugboat Alice C. The duo arrived at the Canal on August 15th and, after a several-day wait in a large passage queue, the drone ship and its paired tugboat are finally on their way through the canal, although traffic still remains high and another day (or several) of waiting is likely in order.

After successfully making it through the first half of the transit, JRTI and Alice C are currently waiting in line while westbound traffic is routed through. That wait will likely last hours, not days, (hopefully) allowing JRTI to exit the canal on Tuesday or Wednesday, leaving drone ship free to head towards its final destination.

JRTI has two possible destinations: Port of Brownsville, Texas or Port Canaveral, Florida. Both options are roughly 1800 mi (3000 km) from the Panama Canal’s western mouth and, extrapolating from the first major leg of the journey, should take Alice C around 8 days to tow JRTI across the finish line. Barring mishaps, the drone ship should thus be able to arrive at its new home sometime in the final week of August – roughly August 27th to the 31st.

To the East, to the Gulf

As previously discussed on Teslarati, there are good cases to make for both potential drone ship destinations. On the East Coast, SpaceX’s plans to ramp up its internal Starlink launch cadence could require multiple drone ship to prevent those ambitions from seriously impacting the company’s commercial launch manifest. The readiness of one or two of the payloads is uncertain, but SpaceX has anywhere from seven to nine Falcon 9 launches scheduled in Q4 2019, requiring a cadence significantly higher than SpaceX’s activity in the first half of 2019.

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At the same time, extrapolating from SpaceX’s H1 2019 cadence (1.33 launches per month), more than doubling that average cadence to 3 launches per month in the final quarter seems ambitious, at a minimum. SpaceX has achieved six-launch quarters several times in the last few years, likely a reasonable expectation for Q4 2019. In short, this is all to say that SpaceX has made do with one drone ship in the past while hitting similar launch cadences, meaning that the need for JRTI at Port Canaveral is probably not urgent.

On the Gulf Coast, SpaceX has established a Starship development facility in Boca Chica, Texas, just a handful of miles north of the southernmost tip of Texas. A full-scale, low-fidelity prototype known as Starhopper completed its first test flight on July 25th and is likely just days away from a second test flight. Meanwhile, SpaceX Boca Chica is simultaneously assembling what CEO Elon Musk has described as the “Mk1” orbital Starship prototype and is making spectacularly rapid progress.

Digitally combining SpaceX’s South Texas Starship segments produces a prototype that is just 10-15% shorter than full height. (NASASpaceflight – bocachicagal, Teslarati)

Musk recently tweeted that SpaceX’s Mk1 Starship and a second parallel build – Starship Mk2 – could be ready for their first (suborbital) flights as early as late-September or October, followed by one of the spacecraft’s first orbital launch attempt an incredibly ambitious “2-3 months after” the first test flight. Per additional statements from Musk in 2018 and 2019, SpaceX plans to subject either or both of its Mk1 and Mk1 Starships to a high-altitude, high-velocity test program before proceeding to orbital launch attempts.

Said extreme testing could easily involve Starship traveling on high suborbital trajectories dozens or even hundreds of miles above Earth’s surface, potentially demanding an ocean-going landing platform far downrange. Given that Starship is in its very early stages of integrated development, any downrange assets (i.e. JRTI) needed for test flights will need to be very flexible, as Starship launch attempts could easily slip days or weeks with little to no notice.

Starship was never meant to lower SpaceX's annual launch cadence. (SpaceX)
Starship separates from its Super Heavy booster in this updated render. (SpaceX)

Best of both worlds

Although pitting options against each other is entertaining and has its uses, the fact remains that once drone ship JRTI has passed through the Panama Canal, traveling from, say, Florida to Texas or vice versa is far less arduous a journey than the trip from Port of LA. In other words, moving JRTI between Port of Brownsville and Port Canaveral every few months should be very little trouble, easily allowing the drone ship to service both Gulf and East Coast recovery needs.

Given that SpaceX’s next Falcon 9 launch is believed to be no earlier than late-October, it’s not even out of the question that JRTI will stop in Brownsville for one month or several before heading to Port Canaveral as SpaceX attempts to complete a very busy Q4 2019 launch manifest. Stay tuned…

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla Cybercab gets crazy change as mass production begins

Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.

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Credit: TechOperator | X

Tesla Cybercab has evidently received a pretty crazy change from an aesthetic standpoint, as the company has made the decision to offer an additional finish on the vehicle as mass production is starting.

Tesla has officially kicked off mass production of its groundbreaking Cybercab robotaxi at Giga Texas, and the first units rolling off the line feature a striking transformation that’s turning heads across the EV community.

VIN Zero—the very first production Cybercab—showcases a vibrant champagne gold exterior with a high-gloss finish, a dramatic departure from the flat, matte-wrapped prototypes that debuted at the 2024 “We, Robot” event.

This glossy sheen is a pretty big pivot from what was initially shown by Tesla. The company has maintained a pretty flat tone in terms of anything related to custom colors or finishes.

A specialized clear coat or process delivers the deep, reflective gloss without conventional painting. The result is a premium, mirror-like shine, and it looks pretty good, and gives the compact two-seater a more luxurious and futuristic presence than the subdued matte prototypes.

Photos shared by Tesla community members reveal VIN Zero in a showroom-like setting at Giga Texas, highlighting refined panel gaps, large aero wheel covers, and the signature no-steering-wheel, no-pedals interior optimized for full autonomy.

The open frunk in some images offers a glimpse of practical storage, while the overall build quality appears more polished than that of test mules.

This glossy evolution aligns with Tesla’s broader production ramp. After the first unit in February 2026, the company has shifted to volume manufacturing, with dozens of units already spotted in outbound lots. CEO Elon Musk and the team aim for hundreds per week, paving the way for unsupervised FSD robotaxi networks that could slash ride costs to pennies per mile.

The Cybercab holds Tesla’s grand ambitions of operating a full-service ride-hailing service without any drivers in its grasp. Tesla has yet to solve autonomy, but is well on its way, and although its timelines are usually a bit off, improvements often come through the Over-the-Air updates to the Full Self-Driving suite.

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Tesla confirms Cybercab with no steering wheel enters production

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Tesla has confirmed today that its steering wheel-less and pedal-less Cybercab, the vehicle geared toward launching the company’s autonomous ride-hailing hopes, has officially entered production at its Giga Texas production facility outside of Austin.

The Cybercab is a sleek two-door, two-passenger coupe engineered from the ground up as an electric self-driving vehicle. It features no steering wheel or pedals, relying instead on Tesla’s advanced vision-only Full Self-Driving system powered by multiple cameras and artificial intelligence.

The minimalist cabin centers on a large display screen that serves as the primary interface for passengers, creating an open, futuristic space optimized for comfort during unsupervised rides. A compact 35-kilowatt-hour battery pack delivers exceptional efficiency at 5.5 miles per kilowatt-hour, providing an estimated 200-mile range.

Additional innovations include inductive charging compatibility and a lightweight design that enhances aerodynamics and performance.

Production at Giga Texas builds on earlier prototypes and initial units completed earlier in 2026. The facility, already a hub for Model Y and Cybertruck assembly, now ramps up dedicated lines for the Cybercab.

This shift to volume manufacturing reflects Tesla’s strategy to scale affordable autonomous vehicles rapidly.

By focusing on a dedicated platform rather than adapting existing models, the company aims to keep costs low while prioritizing safety and reliability through continuous AI improvements.

The Cybercab’s debut in production carries broad implications for urban mobility. As the cornerstone of Tesla’s Robotaxi network, it promises on-demand, driverless rides that could slash transportation expenses, reduce traffic accidents caused by human error, and lower emissions through its all-electric powertrain.

Accessibility features, such as space for service animals or assistive devices, further broaden its appeal. Regulators and cities worldwide will soon evaluate its deployment, but the vehicle’s design already addresses key hurdles in scaling unsupervised autonomy.

Challenges persist, including full regulatory clearance and building charging infrastructure. Yet this production launch signals momentum. With Cybercabs poised to roll out in increasing numbers, Tesla edges closer to a future where personal ownership meets shared fleets of intelligent vehicles.

The start of Cybercab production is more than just a new vehicle entering mass manufacturing for Tesla, as it’s a signal autonomy is near. Being developed without manual controls is such a massive sign by Tesla that it trusts its progress on Full Self-Driving.

While the development of that suite continues, Tesla is making a clear cut statement that it is prepared to get its fully autonomous vehicle out in public roads as it prepares to revolutionize passenger travel once and for all.

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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”
As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”
This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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