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Elon Musk reveals SpaceX’s newest rocket-recovery drone ship

SpaceX's drone ship fleet is about to gain a third member. (SpaceX/Elon Musk)

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CEO Elon Musk has released the first official video of A Shortfall of Gravitas (ASOG), the newest member of SpaceX’s fleet of ‘autonomous spaceport drone ships’.

Purely from a visual perspective, drone ship ASOG represents a substantial departure from older siblings Just Read The Instructions (JRTI) and Of Course I Still Love You (OCISLY). Whereas both JRTI and OCISLY expanded upon Marmac 300-series barges with rectangular wings and a variety of power generation and propulsion add-ons in a slew of tacked-on shipping containers, drone ship ASOG appears to be substantially refined. That process of gradual refinement is an integral part of SpaceX’s modus operandi and ASOG thus likely represents a culmination of years of lessons learned from 76 booster recovery attempts and 66 successful landings.

Perhaps even more significantly, Musk says that ASOG might by SpaceX’s first fully automated drone ship – potentially capable of propelling itself to and from recovery zones and securing landed Falcon boosters without hands-on human intervention.

Physically, drone ship ASOG appears to be a fair bit sleeker and more optimized than its siblings. On ASOG, the substantial amount of extra equipment required to turn a barge into a ‘drone ship’ has been packaged in a far sturdier, more permanent manner inside steel bunkers, whereas JRTI and OCISLY have generators, power supplies, computers, and communications equipment strewn about their decks in shipping containers.

Drone ship OCISLY and Falcon 9 booster B1058, October 2020. (Richard Angle)
Drone ship ASOG, July 2021. (SpaceX)

On JRTI and OCISLY, the only real protection against the blast of a landing Falcon booster and the threat of damage from high seas smashing into equipment come from two angled steel deflectors. ASOG, on the other hand, looks like a battle-hardened tank with almost no identifiable equipment visible under black steel covers and shielding. ASOG appears to be built to tolerate extreme rocket blasts and high seas, in other words.

Curiously, ASOG’s angular landing deck is also significantly smaller and slightly narrower than the rectangular decks on JRTI and OCISLY. Additionally, the vast majority of ASOG’s extra equipment has been installed on the drone ship’s aft end, seemingly resulting in deck load distribution that is intentionally asymmetric.

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That design decision could be connected to Musk’s indication that ASOG is SpaceX’s first truly autonomous drone ship. While JRTI and OCISLY are both capable of autonomously staying in one specific location after being towed out to sea and prepared by a team of technicians, ASOG may be able to travel several hundred miles out to sea, recover and secure a Falcon booster with its Octagrabber robot, and then return to Port Canaveral to offload the rocket without a single person boarding the drone ship.

In theory, if realized, drone ship ASOG’s full autonomy could easily save SpaceX $1M or more per booster recovery. Still, it remains to be seen if SpaceX is actually at a point where at-sea booster recovery can be truly automated as described above. A Shortfall of Gravitas is currently on track to arrive at Port Canaveral on Thursday evening, July 15th.

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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Nvidia CEO Jensen Huang regrets not investing more in Elon Musk’s xAI

The CEO stated that Nvidia is already an investor in xAI, but he wished he had given the artificial intelligence startup more money.

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Credit: Elon Musk/X

Nvidia CEO Jensen Huang revealed that one of his investment regrets is not putting more money into Elon Musk’s artificial intelligence startup, xAI. 

Speaking in a CNBC interview, Huang said Nvidia is already an investor in xAI but wished he had given the artificial intelligence startup more money. This was due to Musk’s record of building transformative companies such as Tesla and SpaceX.

A new wave of transformative AI firms

Huang said he’s very excited about xAI’s latest financing round. He described Musk’s company as part of a powerful new generation of AI developers, alongside OpenAI and Anthropic. that are reshaping the computing landscape.

“I’m super excited about the financing opportunity they’re doing. The only regret I have about xAI, we’re an investor already, is that I didn’t give him more money. You know almost everything that Elon’s pat of, you really want to be part of as well,” the Nvidia CEO stated.

The CEO also clarified Nvidia’s investment in xAI, revealing that Elon Musk had offered the investment opportunity to the chipmaker. “He (Musk) gave us the opportunity to invest in xAI. I’m just delighted by that,” Huang stated.

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AI investment boom

Huang contrasted today’s AI-driven economy with the early days of the internet. “Back then, all the internet companies combined were maybe $30 or $40 billion in size,” he said. “If you look at the hyperscalers now, that’s about $2.5 trillion of business already operating today.”

He also stated that the ongoing shift from CPU-based computing to GPU-powered generative AI represents a “multi-trillion-dollar buildout” that Nvidia is looking to support. Huang added that every Nvidia engineer now works with AI coding assistants such as Cursor, which he called his “favorite enterprise AI service,” and it has led to a major productivity boost across the company.

Watch Nvidia CEO Jensen Huang’s CNBC interview in the video below.

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Investor's Corner

Stifel raises Tesla price target by 9.8% over FSD, Robotaxi advancements

Stifel also maintained a “Buy” rating for the electric vehicle maker.

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Credit: Tesla China

Investment firm Stifel has raised its price target for Tesla (NASDAQ:TSLA) shares to $483 from $440 over increased confidence in the company’s self-driving and Robotaxi programs. The new price target suggests an 11.5% upside from Tesla’s closing price on Tuesday.

Stifel also maintained a “Buy” rating despite acknowledging that Tesla’s timeline for fully unsupervised driving may be ambitious.

Building confidence

In a note to clients, Stifel stated that it believes “Tesla is making progress with modest advancements in its Robotaxi network and FSD,” as noted in a report from Investing.com. The firm expects unsupervised FSD to become available for personal use in the U.S. by the end of 2025, with a wider ride-hailing rollout potentially covering half of the U.S. population by year-end.

Stifel also noted that Tesla’s Robotaxi fleet could expand from “tiny to gigantic” within a short time frame, possibly making a material financial impact to the company by late 2026. The firm views Tesla’s vision-based approach to autonomy as central to this long-term growth, suggesting that continued advancements could unlock new revenue streams across both consumer and mobility sectors.

Tesla’s FSD goals still ambitious

While Stifel’s tone remains optimistic, the firm’s analysts acknowledged that Tesla’s aggressive autonomy timeline may face execution challenges. The note described the 2025 unsupervised FSD target as “a stretch,” though still achievable in the medium term.

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“We believe Tesla is making progress with modest advancements in its Robotaxi network and FSD. The company has high expectations for its camera-based approach including; 1) Unsupervised FSD to be available for personal use in the United States by year-end 2025, which appears to be a stretch but seems more likely in the medium term; 2) that it will ‘probably have ride hailing in probably half of the populations of the U.S. by the end of the year’,” the firm noted.

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Tesla Cybertruck gets Full Self-Driving v14 release date, sort of

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Tesla Cybertruck owners are wondering when they will get access to the company’s Full Self-Driving version 14.1 that rolled out to other owners today for the first time.

Cybertruck owners typically receive Full Self-Driving updates slightly later than other drivers, as the process for the all-electric pickup is different. It is a larger vehicle that requires some additional attention from Tesla before FSD versions are rolled out, so they will be slightly delayed. CEO Elon Musk said the all-wheel steering technically requires a bit more attention before rollout as well.

After some owners got access to the v14.1 Full Self-Driving suite this morning, Cybertruck owners sought out a potential timeframe for when they would be able to experience things for themselves.

Tesla owners show off improvements with new Full Self-Driving v14 rollout

They were able to get an answer from Ashok Elluswamy, Tesla’s Head of AI, who said:

“We got you. Coming soon.”

The release of FSD v14.1 for Cybertruck will not be tempered, either. Elluswamy then confirmed that Tesla would be rolling out the full-featured FSD v14 for the pickup, meaning it would be able to reverse and park itself, among other features.

Elluswamy said it would be capable of these features, which were void in other FSD releases for Cybertruck in the past.

Tesla’s rollout of FSD v14.1 brings several extremely notable changes and improvements to the suite, including more refined operation in parking garages, a new ability to choose parking preferences upon arriving at your destination, a new driving mode called “Sloth,” which is even more reserved than “Chill,” and general operational improvements.

Those who were lucky enough to receive the suite have already started showing off the improvements, and they definitely seem to be a step up from what v13’s more recent versions were capable of.

CEO Elon Musk called v14 “sentient” a few weeks back, and it seems that it is moving toward that. However, he did state that additional releases with more capabilities would be available in the coming weeks, but many owners are still waiting for this first version.

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