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SpaceX fires up Falcon 9 rockets hours apart for back to back launches
SpaceX has fired up two separate Falcon 9 rockets at two separate Florida launch pads in less than 16 hours ahead of back to back launches for Starlink and the US military.
Around 6:30 pm local on June 24th, SpaceX successfully static fired Falcon 9 B1051 as one of the last steps before the booster’s fifth launch, making it the third SpaceX rocket to reach that five-flight milestone in just three months. B1051.4 just narrowly missed SpaceX’s booster turnaround record, falling just a few days short of the current 62-day record after some minor delays. Originally scheduled to launch as early as June 22nd, the ninth batch of Starlink v1.0 satellites (Starlink V1 L9 or Starlink-9) is now scheduled to launch no earlier than (NET) 4:18 pm EDT (20:18 UTC) on Friday, June 26th.
A little over fifteen hours after B1051’s – apparently – successful static fire (there was no SpaceX tweet confirmation for the first time ever) at Kennedy Space Center Launch Complex 39A (Pad 39A), new Falcon 9 booster B1060 performed its own ignition test at SpaceX’s separate Cape Canaveral Air Force Station (CCAFS) LC-40 pad. SpaceX confirmed that that static fire was successful, putting the new Falcon 9 rocket on track to launch the US military’s third upgraded GPS satellite (GPS III SV03) no earlier than (NET) 3:56 pm EDT (19:56 UTC) on Tuesday, June 30th.
If SpaceX manages to complete both the Starlink-9 and GPS III SV03 missions on schedule, June 2020 will be the company’s first four-launch month ever. Even if the latter US military mission is delayed to July 3rd or 4th, SpaceX will still have technically completed four launches in a month’s worth of days (30-31). Normally, the odds of the second in a pair of back-to-back launches being delayed would be quite high, given that any delay to the first mission would inherently roll over onto the follow-up. For SpaceX, that likelihood is more than doubled because of the need for drone ship availability for booster recovery.
However, SpaceX debuted a second East Coast drone ship – Just Read The Instructions (JRTI) on June 3rd, complimenting drone ship Of Course I Still Love You (OCISLY) to double the company’s sea recovery capacity on the East Coast. Formerly stationed at Port of Los Angeles to support SpaceX launches out of California, the West Coast manifest rapidly dried up and made drone ship JRTI’s move East all but inevitable.
On top of having a second drone ship available for booster recoveries just days or even hours apart, SpaceX also recently began pushing the limits of its East Coast launch capacity by performing launches just days apart from its two separate Florida pads. While the occasional back-to-back launch from LC-40 and Pad 39A isn’t unprecedented, SpaceX appears to be intent on sustaining launches from each pad every 10-20 days, give or take. As such, SpaceX’s Starlink-9 and GPS III SV03 missions will launch from separate pads and land on separate drone ships.
Cadence ambitions aside, Starlink-9 and GPS III SV03 are also significant missions for their own reasons. Up first, Starlink-9 will hopefully follow on the heels of SpaceX’s successful June 13th Starlink-8 launch to become the second Starlink rideshare mission, sending two BlackSky imaging satellites into orbit along with 57 Starlink v1.0 satellites. The fact that booster B1051 has nearly broken SpaceX’s rocket reuse turnaround record also suggests that the company is already confident in the flightworthiness of Falcon 9 boosters heading into their fifth launches.
Meanwhile, GPS III SV03 is special because – unlike SpaceX’s first GPS III SV01 launch in December 2018 – the US Air (Space) Force will allow Falcon 9 booster B1060 to attempt a drone ship landing. On SpaceX’s first GPS III launch, the USAF more or less arbitrarily limited Falcon 9’s available performance to leave extreme safety margins in the apparent event of one or more booster engines failing during launch. As a result, Falcon 9 B1054 became the first highly-reusable Block 5 booster to intentionally launch just once. For B1060, the booster will thankfully have a shot at recovery and a long and productive life of 5-10+ more launches. A successful landing could also give the US military its first shot at certifying and reusing a Falcon 9 booster on an operational military satellite launch.
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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
