News
SpaceX to ship Starship ‘deluge’ hardware from Florida to Starbase
SpaceX appears to be preparing to ship a huge collection of hardware – including parts of a possible launch deluge system – from Florida to Texas.
Captured live by NASASpaceflight’s 24/7 Space Coast Live webcam, hardware began accumulating at NASA’s Kennedy Space Center (KSC) Turning Basin on January 12th. Within a few days, four midsize storage tanks, two or three large storage tanks, five high-pressure gas tanks, multiple sections of an apparent launch deluge system, and an unfinished Starship booster transport stand were all staged and ready for shipment. Save for implicit statements from reliable sources, there wasn’t an obvious guarantee that the hardware was all SpaceX’s or headed to the company’s Starbase, Texas factory and launch site.
But combined with the sheer volume of hardware and its privileged presence on NASA KSC property, the last part to arrive – the base of an unmistakable Starship (booster) transport stand – all but confirmed that the destination is Starbase. SpaceX has already shipped hardware from Florida to Starbase multiple times, including a trio of tanks sent in October 2022, which further increases the odds that everything visible is destined for Starbase.
The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
It might also not be a coincidence that in its first attempt to build a Starship launch site at Kennedy Space Center, SpaceX installed four midsize tanks and plenty of high-pressure gas tanks at LC-39A. The resurgence of work on a totally different Starship pad design at 39A in late 2021 likely made that hardware redundant. It’s possible that the four smaller tanks set to be shipped to Starbase originated at 39A and are being moved in the hopes that they can be more useful elsewhere.
Additionally, satellite photos taken on January 3rd, 2023 and shared by Harry Stranger show a pair of larger tanks also sitting unused at Pad 39A. Ultimately, it’s almost certain that the delivery is SpaceX hardware bound for Starbase, Texas.
A deluge? Under my Starship?
The most interesting part of the shipment is arguably a group of giant metal tubes. Measuring several feet wide, dozens of feet long, and fitted with multiple outlets connected to the same giant pipe, the likeliest possible explanation is that the manifolds are part of a plan to upgrade SpaceX’s Texas Starship launch site with a deluge system.
Almost all rockets use some sort of deluge system to prevent their own exhaust from damaging or destroying themselves or their surroundings. A large volume of water sprayed into the space just below a rocket’s engines can prevent the immense acoustic energy (sound) they produce from wreaking havoc. A deluge also helps protect launch pad hardware by allowing some of the energy in the exhaust to boil and vaporize water instead of eating into concrete or steel. But CEO Elon Musk has infamously stated that SpaceX is intentionally attempting to build an orbital launch site that doesn’t need a flame diverter for Starship – the most powerful rocket in history.
That’s gone about as well as one might expect. Even Starship, which can produce about 18% as much thrust as Super Heavy, has repeatedly incinerated the concrete beneath its test stand, spreading molten debris for thousands of feet and starting major brush fires in a nature reserve. After every six-engine Starship static fire, SpaceX must painstakingly remove and replace all of the concrete beneath the test stand.
The problem is even more apparent at Starbase’s orbital launch mount, where SpaceX has begun to conduct Super Heavy booster static fire tests. Thus far, SpaceX has had to replace the concrete under the OLM after almost every Super Heavy static fire – a process that takes a week or two. The company recently replaced that concrete with a mix optimized to survive high temperatures, but it remains to be seen if that will survive a direct blow from the most powerful rocket in history.
For the time being, Starbase’s environmental permit only allows up to five orbital launches per year, making lengthy post-launch repairs mostly inconsequential. However, if SpaceX ever wants Starbase to rapidly launch multiple Starships back to back – essential for in-space refilling – or launch dozens of Starships per year, it’s become clear that a deluge system is likely essential.
Starship’s Florida deluge
Some part of SpaceX knows that. The design of Starship’s first Florida launch pad has already been upgraded to include a giant deluge ring embedded in the ground at the base of the mount. Unusual design aside, the structure is sized such that it’s almost certainly a high-flow deluge system capable of spraying thousands of gallons of water per second.
Three months later, SpaceX appears to be preparing to ship two giant deluge manifolds and some deluge plumbing from Florida to Starbase. If SpaceX intends to retrofit Starbase’s existing orbital launch site with a giant deluge system, the process would likely take months and render the pad more or less unusable from start to finish. Alternatively, Musk recently reported that SpaceX intends to build a “rocket test facility” at a separate property it purchased in South Texas. Located miles from the Starbase launch pad, the former gun range could potentially allow SpaceX to test Starships and Super Heavy boosters without disrupting orbital launch preparations and taking over Starbase’s only orbital launch mount.
Perhaps it’s not a coincidence that the same site – currently used for storage and limited Starship tank testing – already hosts some smaller parts of a potential Starbase deluge system. Regardless, it’s clear that significant changes are coming to Starbase and its associated facilities.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
