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SpaceX marine fleet kicks into high gear

ASOG arrival to Port Canaveral for the first time in July 2021 (Credit Richard Angle)

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As SpaceX looks to continue its quest to achieve over 140 launches this year, its marine fleet is functioning at an insane pace.

SpaceX currently operates a trio of autonomous spaceport drone ships, two fairing recovering ships, and two Crew/Cargo Dragon recovery ships.

A Falcon 9 returns to Port Canaveral aboard ‘Just Read the Instructions’ with Bob towing (Credit Richard Angle)

In years past, SpaceX has been able to comfortably launch missions and have plenty of time for a droneship to bring a Falcon 9 back to port before their next mission would be up and have time for crew rest, but with their increased cadence last year and into this year, SpaceX is starting to see record turnarounds between arriving back into port and disembarking for their next landing attempt.

The most recent example is the droneship ‘A Shortfall of Gravitas’ returning a Falcon 9 to port just ~50 hours after landing, traveling over 600km and through the Bahamas, unloading the Falcon 9 onto shore, and leaving back to sea for another Starlink mission the following evening with fairing recovery ship Doug tagging along to recover the fairings after their own trip back to Earth.

The other East Coast-based droneship, ‘Just Read the Instructions, ‘ also completed its own ~12-hour turnaround to support another Falcon 9 landing, with support ship Bob assisting in that fairing recovery. Over on the West Coast, the droneship, ‘Of Course I Still Love You,’ is already out at its respective landing zone to support a Starlink mission.

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Having these vessels ready and out to sea gives SpaceX the chance to support a possible triple header later this evening, with three Falcon 9 launches possible within around five hours of each other.

The fairing recovery ships, named after the NASA astronauts who completed the Demo 2 mission, Bob & Doug, stay consistently busy as well, helping recover fairings to save SpaceX the roughly $6 million it costs to make a new set. In some cases, these ships will stay out for two straight missions and return to port with 4 fairings. The ships also use their cranes to move recovery personnel onto the droneships. They are capable of towing them, but that is usually reserved for a dedicated tug boat that is hired by SpaceX.

Bob and Doug at Port Canaveral (Credit Richard Angle)

The Crew/Cargo Dragon recovery ships, also named after NASA astronauts Megan McArthur (Crew-2) and Shannon Walker (Crew-1), are out to sea pretty frequently. When not recovering Crews or science experiments in Cargo Dragons, they conduct many training exercises to keep their skills high.

Fairing recovery ship Doug with Dragon recovery ship Shannon (then named GO Navigator) (Credit Richard Angle)

Having these ships able to maintain such a fast pace is in itself impressive, as the ocean is unforgiving at times, as evidenced by the recently lost Booster 1058, which toppled over in rough seas and was lost.

As the launch count climbs, more and more pressure will be placed upon the fleet as they look to maintain their safety and fast-paced work, ensuring SpaceX can keep setting industry records.

Do you think SpaceX needs to add a couple more ships and maybe another droneship?

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Questions or comments? Shoot me an email at rangle@teslarati.com, or Tweet me @RDAnglePhoto.

Launch journalist, specializing in launch photography. Based on the Space Coast, a short drive from Cape Canaveral and the SpaceX launch pads.

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Tesla Full Self-Driving v14 ‘Lite’ Release Notes: new capabilities and features

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(Credit: Megan Gale/Twitter)

Tesla released the Full Self-Driving v14 ‘Lite’ suite to owners of Hardware 3 or AI3 vehicles today, adding several new features to the vehicles that were once believed to be capable of unsupervised self-driving.

Now, Tesla has released this modified suite to older Tesla vehicles, adding plenty of new features and capabilities.

Here are the full release notes for the suite:

  • Distilled the intelligence from HW4 V14 into HW3. This allows HW3 to directly learn how to handle scenarios using HW4 V14 as a guide. This process unlocks the improvements that have been made to HW4 including Reinforcement Learning (RL) and offline models for HW3.
  • Improved both proactive and reactive responsiveness across a wide variety of categories including navigation handling, merges and forks, pedestrian interactions, traffic lights, and vehicle cut-in scenarios.
  • Improved general comfort in nominal scenarios through fewer false slowdowns, smoother steering and more consistent lane centering.
  • Introduced parking, unparking, and reversing capabilities.
  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, or at the Curbside.
  • Speed Profiles are now available at all times, to further customize driving style preference.

These improvements, according to Tesla’s Head of AI, Ashok Elluswamy, help distill the driving behavior from AI4’s v14 series into both the camera and compute configurations of AI3.

Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released

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He added:

“It includes destination options and speed profiles on city roads, but more importantly significantly improved safety. We hope you’ll enjoy it, once the build ships wide.”

Tesla will continue to roll out the v14 Lite suite more widely in the coming weeks, the company said.

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Tesla Full Self-Driving v14 ‘Lite’ for older cars finally gets released

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tesla model 3 model y
Credit: Tesla Inc.

Tesla has finally released its Full Self-Driving v14 ‘Lite’ suite for older cars that equip the Hardware 3 or AI 3 chip, which have not been able to handle the newest versions of the company’s driver assistance software.

Tesla officially started releasing the v14 Lite suite to owners in the Early Access Program last night. The company’s Head of AI, Ashok Elluswamy, said that the rollout will continue over the next few weeks. The build distills the driving behavior from AI4’s v14 series into both the camera and compute configurations of an AI3 car.

It also includes a variety of new features that were available to AI4 cars running v14, including:

  • Start Self-Driving from Park
  • Arrival and Parking Options
  • Speed Profiles

The release is highly anticipated because those owners with AI3 vehicles were early adopters into the FSD platform and were promised that their cars would be capable of achieving Full Self-Driving.

However, Tesla CEO Elon Musk admitted during the company’s recent Q1 Earnings Call that these vehicles would not be capable of achieving unsupervised Full Self-Driving, which is what Tesla had originally said.

Owners were not pleased with this answer, or the idea that their commitment to buying the suite outright for thousands of dollars would not yield the ability to drive without operating the car. Tesla gave some solutions for this, including a discount on a new car, or an upgrade to an AI4 or AI5 self-driving computer and new, upgraded cameras.

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Tesla owners do not seem pleased with these options, as they require giving the company more money.

Nevertheless, it is important to note that Tesla came through for owners here by releasing v14 Lite before the end of Q2, something it had promised owners during the previous Earnings Call. Tesla has had trouble keeping up with timelines, but this is a big achievement for the team.

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Tesla Q2 delivery consensus confirms this long-standing theory

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Credit: Joe Tegtmeyer/X

Tesla released what analysts believe the company will report in terms of deliveries and energy deployments for Q2, but the figures seem to confirm a long-standing theory on the company’s vehicle division.

For years, Tesla was just looked at as a car company. Now that it has established itself as a powerhouse in energy, AI, and tech as a whole, the company is now less hellbent on achieving quarterly growth, on a sequential basis, at least from a major standpoint.

Tesla topped out its annual deliveries in 2023 at 1.81 million, and in the two years since, the company has reported a decrease in deliveries for the entire 12-month term both times.

With Tesla delivering 358,023 cars in Q1, a 6.3 percent increase over Q1 2025, but falling short of Wall Street expectations at 365,000-370,000 units, the narrative around vehicle deliveries and their importance continued to change earlier this year. Some might say it is convenient, but others might say it is the typical evolution of a company that continues to change over time.

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For Q2, Tesla’s delivery consensus estimates sit at 406,024 units, analysts believe. They were surveyed from Daiwa, DB, Wedbush, Cowen, Canaccord, Baird, Wolfe, BMP Paribas, Goldman Sachs, RBC, Evercore ISI, Barclays, Bank of America, Wells Fargo, Morgan Stanley, Truist, UBS, Jefferies, JPM, Needham & Co., HSBC, and William Blair.

Credit: Tesla

Tesla is also expected to report deployments of 13.8 GWh this quarter.

The change to Tesla’s overall narrative now leans less on vehicle deliveries and more on its other projects. Most notably, Tesla’s Robotaxi project has taken the priority over most of its other business ventures, and investors and the public are more concerned about the deployment of vehicles into the fleet, the operation of a driverless ride-hailing service, Cybercab production and operation, and expansion into new cities.

Tesla analyst realizes one big thing about the stock: deliveries are losing importance

This big narrative switch happened when Tesla indicated it was looking at making transportation a service by launching a ride-hailing service that will operate using Tesla’s Full Self-Driving suite. Once unsupervised operation begins, Robotaxi could be a new way for people to get around, all without a driver in their car.

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Instead, they will rely on the billions of miles Tesla has accumulated from its real-world fleet.

It is important to note that Tesla remains significant in the automotive sector, and deliveries must continue as they have for years. Tesla still has a strong automotive business and needs to execute further on all facets to keep its investors happy.

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