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SpaceX Falcon 9’s next major US Air Force launch slips into early 2020 ahead of busy Q4
According to an August 20th update from the US Air Force’s Space and Missile Systems Center (SMC), SpaceX’s next dedicated USAF launch – the third completed GPS III spacecraft – has slipped one month and is now scheduled no earlier than (NET) January 2020.
Known as GPS III Space Vehicle 03 (SV03), SpaceX’s next US military launch will follow just a few months after United Launch Alliance (ULA) is set to launch GPS III SV02, scheduled to lift off at 9am EDT, August 22nd. SpaceX kicked off the lengthy GPS III launch campaign in December 2018, successfully placing the ~3900 kg (8600 lb) communications and geolocation spacecraft into a transfer orbit. The mission also marked SpaceX’s first intentionally expendable Falcon 9 Block 5 launch, a trend that may or may not continue with the company’s next GPS launch.
Known as GPS Block IIIA, SV01-03 are the first three of a batch of 10 spacecraft total, produced by Lockheed Martin for an anticipated cost of roughly $600M apiece. The US Government Accountability Office (GAO) expects [PDF] little to no cost savings per unit for Block IIIA’s follow-up, Block IIIF, in which 22 additional GPS III spacecraft will be built to fully upgrade the military’s GPS constellation. GAO estimates that those 22 satellites – likely to also be built by Lockheed Martin – will cost an incredible $12B, or ~$550M apiece.
On the scale of the US military’s woefully inefficient space procurement apparatus, ~$600M per satellite is sadly a pretty good deal. Two equally modern USAF satellite acquisition programs – the Advanced Extremely High Frequency (AEHF) and Space-Based Infrared System constellations – have both surpassed their initial cost estimates by more than a factor of two. Over the entire program, GAO estimates that six AEHF satellites no less than $3 billion each, while SBIRS is in even worse shape with six new satellites expected to cost $3.2 billion apiece.
Meanwhile, the Raytheon-built ‘OCX’ ground systems needed to take advantage of the ~$19B GPS III satellite upgrades has been just as much of an acquisition boondoggle, nearly doubling in cost over the last few years, bringing its final cost to no less than $6.2B after years of delays. All told, completing the upgraded GPS III constellation can be expected to cost a bare minimum of $25B. This cost doesn’t even include launches, but the cost of launching all the spacecraft is – in a rare instance – going to be a small fraction of the overall acquisition, perhaps $3-4B for all 32 satellites.
Regardless of the nightmarish costs and general inefficiency, Lockheed Martin and the USAF continue to slowly march towards initial GPS III operability. August 22nd’s ULA launch and January 2020’s SpaceX launch will take significant steps towards that capability, and will – with any luck – be followed by an additional two Falcon 9 GPS III launches in 2020. Six of ten IIIA satellites have already had launch contracts awarded, five of six of which were awarded to SpaceX.
End-of-year fireworks
GPS III SV03’s slip from December 2019 to January 2020 comes as plans for an ambitious final quarter have begun to take shape for SpaceX. Oddly, SpaceX is currently going through more than two months of downtime between its most recent launch (AMOS-17, August 6th) and its next mission (Starlink 1, NET late October). This will be the longest SpaceX has gone without launching since a catastrophic Falcon 9 failure grounded the company’s launch operations from September 2016 to January 2017.
By all appearances, customers’ payloads just aren’t ready, while SpaceX’s own Starlink constellation team is hard at work updating the satellite design and preparing for two back-to-back launches as early as October and November, potentially placing 120 high-performance satellites in orbit.
Aside from two Starlink launches scheduled in late-October and November, SpaceX has at least six other missions that could potentially launch in Q4 2019.
| Launch | Date (No Earlier Than) |
| Starlink 1 | October 17th |
| Starlink 2 | November 4th |
| Crew Dragon – In-Flight Abort | November 11th |
| ANASIS-II – South Korea | November – TBD |
| JCSat-18/Kacific-1 | November – TBD |
| Cargo Dragon CRS-19 | December 4th |
| Sirius XM-7 (SXM-7) | Q4 2019 – TBD |
| Crew Dragon – Demo-2 | December – TBD |
A lack of updates from Sirius XM and the fact that Crew Dragon’s Demo-2 launch will rely entirely upon the successful completion of its prior In-Flight Abort (IFA) mean that both will very likely slip into 2020. The remaining six launches, however, have a very decent chance of launching in 2019, assuming everything goes perfectly during satellite, Falcon 9, and launch pad pre-flight preparations.
SpaceX has successfully completed six launches in three months several times before, so six launches in Q4 2019 is entirely achievable, even if a pragmatist would do well to expect additional delays into 2020.
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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.”
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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
