News
SpaceX Falcon 9 wins Korean launch contract as 2019 mystery missions persist
SpaceX has silently announced that Falcon 9 won a contract for a South Korean military communications satellite, currently scheduled to launch from the company’s Cape Canaveral Air Force Station (CCAFS) LC-40 pad no earlier than November 2019.
Subcontracted from Lockheed Martin to Airbus Defense and Space in 2016, the satellite – known as Anasis II (formerly KMilSatCom 1) – is based on a common bus built by Airbus and could weigh anywhere from 3500 to 6000 kilograms (7500-13,200 lb). Falcon 9 will be tasked with launching Anasis II to geostationary transfer orbit (GTO), after which the satellite will use its own onboard propulsion to circularize the orbit and begin operations. Although the Korean contract brings SpaceX one step closer to its goal of 18-21 launches (excluding Starlink) in 2019, it also raises the question: what mystery missions are missing from public launch manifests?
Manifest Mystery
As previously discussed in both Teslarati articles and newsletters, comments from SpaceX executives in February and May 2019 reiterate the company’s expectation of 18-21 launches in 2019, excluding Starlink. Hofeller’s “more than 21 launches” admittedly came more than two months before a catastrophic Crew Dragon failure threw the spacecraft’s launch manifest into limbo.
Three months later, SpaceX President and COO Gwynne Shotwell reiterated the idea that SpaceX could beat its 2018 launch record (21 launches) or at least get close. Curiously, she specifically noted that SpaceX’s purported 18-21 launch manifest excluded Starlink missions, of which SpaceX has already launched one. In short, SpaceX has completed 7 launches in 2019 (6 if Starlink v0.9 is excluded). The company’s public manifest – unofficially cobbled together by fans – shows 9 more launches scheduled for a total of 15 non-Starlink launches in 2019.
To meet Shotwell’s expected 18-21 non-Starlink launches, anywhere from 3 to 6 missions are apparently missing from publicly-managed launch manifests. It’s unclear if SpaceX actually has enough launch-ready customers to achieve those ambitious targets. Additionally, SpaceX is currently on track to complete 8 launches total (1 Starlink) in the first half of 2019. In 2017 and 2018 (two years without interruption), SpaceX consistently launched an equivalent number (or more) missions in the first half of the year when compared to the second half, and both years have maxed out at 9 launches in H2.
SpaceX will have to beat that H2 record to reach 18 launches in 2019 even if Starlink missions are counted. Meanwhile, SpaceX says that as many as 1-5 additional Starlink launches are scheduled for 2019, bringing the total number of missions as high as 20-27 in differing best-case scenarios. Practically speaking, between SpaceX’s Pad 39A and LC-40 launch facilities, the company could easily maintain a biweekly or even weekly cadence (13-26 launches in H2 2019). The real constraint, however, is hardware availability – i.e. whether SpaceX has the rocket pieces and flight-ready satellite(s) it needs to launch a given mission.
Can SpaceX do it?
This is an extremely hard question to answer, as all details that really matter are of the organizational, company-secrets sort that SpaceX just doesn’t publicize. From a technical and practical perspective, the answer is a reasonable confident “yes.” If Falcon Heavy Flight 3 (STP-2) is completed successfully, SpaceX will have an impressive fleet of at least 8 flight-proven Falcon 9-class boosters. Even assuming that no progress is made beyond the current Block 5 turnaround average of ~110 days (~3.5 months), SpaceX’s current fleet should be able to immediately support four launches and an additional 8-12 before the end of 2019.
The primary limit, then, would be SpaceX’s ability to produce Falcon 9 upper stages and fairings, as well as the stamina and quality of the company’s managers and employees. Even then, the question of SpaceX’s 3-6 mystery launches will remain unanswered until either the customer or launch provider choose to open up. 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
