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SpaceX’s first government Falcon Heavy launch aiming for “early 2019” per USAF
Linked to the rocket and mission through its own LightSail 2 solar sail satellite, The Planetary Society reports that the USAF and SpaceX are now targeting Falcon Heavy’s first launch for a government customer in “early 2019”.
Previously expected to launch around November 30th, just a month from today, it’s clear that SpaceX’s second Falcon Heavy rocket has yet to approach flight readiness, likely marginalized by a more pressing focus on near-term Falcon 9 missions and Crew Dragon’s imminent flight debuts.
LightSail 2 launch pushed to early 2019
An Air Force official says an ‘initial launch capability’ is being reassessed: https://t.co/QYA6NFPP1I pic.twitter.com/RJclLvcbSs
— Planetary Society (@exploreplanets) October 29, 2018
According to Planetary Society, a USAF official provided an update – per the group’s involvement in its STP-2 rideshare launch – stating that its “initial launch capability” was being reassessed, essentially a roundabout way of saying “A new launch date is being determined”. Reasons for the multitude of delays since Falcon Heavy’s successful February 2018 debut are few and far between, with the most likely explanation being some combination of issues with one or several of the ~25 satellites manifested and SpaceX’s ability to build a new Falcon Heavy rocket in time.
However, it’s decidedly ambiguous as to which one of those explanations truly takes precedence, given that SpaceX apparently told the USAF and its customers that it was ready to launch the mission between June and August.
“Officials working on the mission said SpaceX has provided the Air Force and other customers a 60-day window for launch opening on June 13. The Air Force spokesperson confirmed it will be the second Falcon Heavy mission.” – Stephen Clark, SpaceflightNow
Assuming SpaceX’s launch readiness announcement was accurate, the USAF and its customers must have run into some extreme issues while organizing all STP-2 payloads and integrating those satellites onto a custom-built adapter, a task that companies like Spaceflight Industries have shown to often be the long pole of rideshare launches. It’s also possible that SpaceX executives and managers underestimated or undersold the challenge of moving from a Falcon Heavy built solely on old Falcon 9 Block 2 and 3 boosters to an all-Block 5 version of the rocket, featuring a large number of highly-consequential changes like uprated engines and an entirely new approach to assembling each booster’s octaweb.
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- Spaceflight’s SSO-A rideshare mission is quite similar to STP-2, albeit with more satellites on the smaller side. (Spaceflight)
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- One group of STP-2 passengers, known as DSX, has been awaiting launch for more than eight years. (USAF)
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- SpaceX’s second Falcon Heavy launch will either be the USAF’s STP-2, a collection of smaller satellites, or Arabsat 6A, a large communications satellite. (USAF)
Lastly, depending on the nature of the launch contract between them, it’s possible that SpaceX had been planning on reflying Falcon 9 Block 5 boosters as its next Falcon Heavy’s side boosters, a move that would dramatically shorten the lead time required for a new Falcon Heavy to be produced. If the USAF expects or has unconditionally demanded all-new hardware for the launch of STP-2, SpaceX would need at least two (if not three) times the production resources to build and test Falcon Heavy #2, all while paralyzing those resources until well after the rocket’s first flight.
Building three separate Falcon 9/Heavy boosters, acceptance-testing them in Texas, and delivering them to Florida – all under uniquely strict USAF standards – would likely take SpaceX a bare minimum of four months from start to finish. In the guaranteed event that SpaceX had to simultaneously continue regular production, test operations, and preparations for Crew Dragon launches, an all-new Falcon Heavy would likely take more than 6-8 months to make flight-ready while still allowing SpaceX to avoid severe launch delays for its many other customers.
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- The communications satellite Arabsat-6A. (Lockheed Martin)
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- Falcon Heavy’s side boosters seconds away from near-simultaneous landings at Landing Zones 1 and 2. (SpaceX)
To add additional confusion to the mix, multiple reliable sources have confirmed that STP-2’s actual launch target is closer to March 2019, quite a stretch for “early 2019”. At the same time, Falcon Heavy customer Arabsat has reported that its Arabsat 6A satellite is expected to launch as early as January 2019. Ultimately, clarity can only come from the USAF, Arabsat, or SpaceX itself – for now, we wait.
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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
