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

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.

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…
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
News
Tesla Cybercab launch preparations have begun
Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
Elon Musk
Elon Musk says he ‘hopes AI is nice to us’
Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
