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SpaceX targeting 52 Falcon 9, Falcon Heavy launches in 2022
Shortly before SpaceX was scheduled to launch an Italian Earth observation satellite, a member of NASA’s Aerospace Safety Advisory Panel (ASAP) revealed that the company aims to conduct as many as 52 launches this year.
Supporting several estimates published by Teslarati over the last month, SpaceX officially targeting up to one launch per week in 2022 meshes well with the company’s record-breaking commercial launch manifest and plans for up to 10 Falcon launches in December 2021 and January 2022 alone. It also comes as no surprise after SpaceX’s spectacular performance in the first six months of 2021.
In H1 2021, before major production issues effectively halted all Starlink launches, SpaceX launches 20 Falcon 9 rockets in six months, demonstrating a sustainable cadence of 40 launches per year. Of those 20 launches, 13 were Starlink missions and 7 were commercial. Due to a lack of commercial launches and a lack of Starlink satellites to launch, SpaceX then proceeded to launch just three times between July 1st and November 11th.
However, in the last two months of 2021, SpaceX managed to go from launching three times in 19 weeks to launching eight Falcon 9 rockets in six weeks. Further, SpaceX completed five of those eight launches in less than three weeks. Given that that feat made December 2021 SpaceX’s first five-launch month ever just a year after SpaceX’s first four-launch month ever, it wasn’t unreasonable to assume that five launches in one month was a fluke. However, the fact that SpaceX abruptly went from a record of five launches in ~27 days to five launches in ~19 days did feel like more than a mere coincidence
That was confirmed about two weeks later, when a US military official responsible for managing the Florida range implicitly revealed that SpaceX was targeting up to five East Coast Falcon launches in January 2022. It then became a question of whether SpaceX’s plans would survive the only true constant of spaceflight: delays.
However, three weeks later, SpaceX has successfully launched three Falcon 9 rockets and is on track to launch another two from Florida in the last few days of the month. Originally scheduled to launch in late 2021, the Italian Space Agency’s (ASI) CSG-2 Earth observation radar satellite was eventually rescheduled for January 27th, but poor weather forced SpaceX to delay that launch to 6:11 pm EST (23:11 UTC), Friday, January 28th, 29th, and finally the 30th. Perhaps less than a day later, as early as 2:17 pm (19:17 UTC) on Monday, January 31st (delayed from Jan 29th and 30th), another Falcon 9 rocket is scheduled to launch a batch of approximately 49 Starlink satellites known as Starlink 4-7.
Last but not least, SpaceX has already tested and static-fired a third Falcon 9 rocket and is prepared to launch the National Reconnaissance Office’s (NRO) NROL-87 spy satellite(s) out of California’s Vandenberg Space Force Base (VSFB) no earlier than (NET) 11:07 am PST (19:07 UTC), Wednesday, February 2nd. If all three of those launches happen according to plan, SpaceX will have kicked off 2022 with six launches in the first five weeks of the year and, technically, just 27 days. Further, over a period of 10 weeks, SpaceX will have potentially completed twelve Falcon 9 launches.
In short, while just one month into the year, SpaceX is undeniably maintaining the launch cadence it will need to launch an average of one Falcon rocket per week for all of 2022. It’s obviously far more likely that unexpected issues will arise, significantly delaying a number of launches and pushing SpaceX below its goal of 52 launches in one year, but even 40 launches per year would be an extraordinary achievement. If SpaceX actually does achieve 50+ launches in 2022, Falcon 9 and Falcon Heavy will represent the second rocket family in history to achieve such a cadence – and the first to do so since the 1980s.
Tune in below around 6pm EST on Friday, January 28th to watch SpaceX’s fourth Falcon launch of the year.
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
